Comprehensive Azure Fundamentals (AZ-900) Certification Guide and Hands-On Tutorials

hey it's Andrew Brown your favorite Cloud instructor over here on free Camp bringing you another free Cloud

certification study course and this time it's the Azure fundamentals also known as the

a900 and the way we're going to achieve Microsoft certification is by watching those lecture videos doing those

Hands-On labs and as always I'm going to provide you a free practice exam so you can go get that certification putting

your resume uh putting on your LinkedIn and go uh get that a cloud roll you've been looking to get if you love these

kinds of uh Cloud certification study courses the best way to support more free courses just like this one is to

purchase the paid optional materials it's going to help you uh increase your odds of passing the exam and it just

helps the production of these courses um and if you don't know me I'm Andrew Brown and I've taught a lot of different

Cloud certification study courses here uh we've done adabs Azure gcp kubernetes terraform you name it I've taught it uh

but that's about it let's go ahead and learn some Azure and I'll see you soon ciao hey this is Andre Brown and welcome

to the Microsoft Azure fundamentals and we're asking the most important question uh first which is what is this

certification well uh the Azure fundamentals is the entrylevel cloud certification for Microsoft Azure or

Azure uh and you'll see me alternate between those uh pronunciations they're both accepted so whichever you prefer um

there is no prerequisite for this certification uh but you should probably have a little bit of it experience but

if you don't it's totally fine if you're totally new to Cloud you still be okay here uh the key topics that we are

covering is understanding the basics of cloud computing exploring the benefits of using cloud services uh and looking

at those core Services the those being Computing networking storage and databases understanding identity

security governance so you know one example for identity would would be entra ID previously known as Azure ad

something you'll hear again and again through all the uh Microsoft certification courses um understanding

how pricing Works things like subscriptions uh and cost management tools and uh learning about the tools

available for managing Azure resources uh such as Azure portal or the SDK or the CLI and things like that uh

Microsoft Azure is the second leading cloud service provider in the world the first being AWS but uh let that not uh

discourage you because Azure is still an extremely uh great uh cloud service uh to use and um it's used quite a lot so

Azure fundamentals is a very common starting point for people breaking the cloud U similar to the ads Cloud

practitioner so both are really great entries uh into Cloud who's the certification for well consider this uh

fundamental certification if you're new to cloud and you want to learn the fundamentals and benefits adopting cloud

services in general you are from a non-technical background such as an executive management or sales level and

you need to acquire strategic information about uh Cloud for adoption or migration you want to understand the

capabilities of azure and how to build basic Solutions and deploy cloud services in your organization very very

basic but I mean the the objective of these fundamental certifications is not to really teach you how to build Cloud

workloads um that is more at associate level but we'll talk about that later on uh or you're a senior Cloud engineer or

solution architect or or Cloud architect who needs a reset or refresh their knowledge after working with Azure for

multiple years but maybe you didn't notice some things change so it's a great uh revisit to get an idea of what

is going on here so what is the value of the certification well the fundamentals is uh provides the most expensive view

possible for um Cloud architecture and Azure uh I like to say this is going to provide you a bird's eyee view or the

50,000 foot view so we're going to cover a lot of stuff uh but it's not going to be uh as detailed as you would imagine

but uh the idea here is to promote big picture thinking zooming out and assessing the cloud and Azure landscape

for changes Trends opportunities uh and being strategic about the approach and process for our Cloud Journey okay um

the Azure fundamentals is not a difficult exam it will not validate that you can build Cloud workloads um for

technical roles such as developer engineer devops it's not going to be enough to obtain those roles but it it's

possible that it could short list your resume for interview um the exam covers content not found in other

certifications so strongly recommend that you take this as your foundational certification a lot of people like to

skip fundamentals because they they think that they're easy yes the certification easy but the exam content

has a lot of stuff in it especially mine because I pack in a ton of stuff that I just I'm not going to put it the next

level because I'm going to assume that you taking this course and getting all that knowledge there uh the a900 00 lays

a a gr foundation for Specialized or specialization for Azure certifications and is a stepping stone for professional

de development in cloud services so definitely there is value in the a900 let's go take a look at the Azure road

map and this is not all of the Asher certifications and Microsoft certifications they just have too many I

cannot fit them all on screen here and um I think all the course codes are up to date but they're changing them all

the time so uh it's possible that they might be incremented by some verions but the the entry we have the Azure

fundamentals there are other fundamental certifications um we have the AI 900 which is for AI we have the dp900 which

is for data uh we have the sc900 which is for security but again I don't have room for all that so I'm not showing

them on here so I'm showing you the path that is commonly uh completed after taking the a900 so you have uh some

associate certifications you have a couple expert certifications you have specialty certifications there's

definitely more Associates there's definitely more Specialties but there's always the two Pros or experts I should

say so getting my a handy pen out here very often what people go for after the fundamentals is the administrator the

a104 this is the most common path uh for those that are going to their next step in their Azure journey and a lot of

times people are going for that Solutions architect expert which is over here but before you do that you really

want to go and grab that uh uh developer the a 204 these are the uh this is the the the most common strategy right here

is uh these but of course it really depends on what you're doing if you're doing security you have the sc900 and

then there's three different associate level security certifications uh if you are going after

data that's a whole different track so it's going to really vary based on that but um again you know this is the most

common track and even if you go uh do all of this and you want to do something else that's totally fine because this is

going to lay a very very very strong Foundation uh and give you really good skills in Azure so how long does it take

to study for this certification well if you're a beginner we're looking at about 30 hours and this is someone that's

never written uh or used Azure or any cloud provider have never written any code or held a tech role technically the

certification doesn't require you to code but I really want to make sure that I set you up really well because in

Azure uh coding and scripting and that kind of stuff is way more important than any other cloud provider uh because you

come across it a lot more and so I've stuck in a bunch of coding stuff and it is very challenging for beginners but I

want to try to get you um best prepared as possible because when you go to the associate level with like the a104 it is

so much more difficult so I made this much harder than it had to be to prepare you for the next level despite the exam

okay so uh again 30 hours on that side if you're experienced uh then you're already working with that Azure or you

maybe are you've worked in eight of us in gcp and you are trying to pick up Azure the it could be as little as 6

hours um so you know generally the study time is 24 hours and I would say it's split between uh lectures and labs and

then you have your practice exams so just make sure that you put your time uh in with the practice exams practice

exams are very very very very very important for Azure because Azure has all these different question types and

we'll talk about that in a moment but yeah the recommend studies is 1 to two hours a day for 14 days take your time

let it absorb uh you could finish it in a couple days but don't do that you know make sure that you are acquiring the

knowledge for long term and the the best way to do that is to take your time uh and and not try to pass it in a weekend

um what does it take to pass the examp well you got to watch those lecture videos you got to do those Hands-On labs

and fall alongs within your own account uh strongly recommend that you do uh some paid online practice exam

uh we give you a full free practice exam like a full set uh which is on our platform there we have a lot of practice

exams you can get that at exampro doco a900 and really helps support the course here uh where do you take the exam well

you're going to either take it in person at a test center or the convenience of your home um and uh so I would just say

just a second here sorry about that b is knocking on my door door beo is the other Andrew uh

who you you'll hear me talk about uh bo a bit throughout the course but uh he's the other person that works with me

that's never on camera you never see him but um he helps uh do a lot of the work over here uh with uh the platform and um

creating the content but anyway so Azure uh delivers exams via I got to reclick here um and the click's not working

there we go uh Pearson view uh is the proctoring system that Microsoft uses in the past there used to be a bunch of

ones there's Criterion uh which Google used to use Google Cloud there's PSI online which um adab us like to use but

for whatever reason both um adabs and um Microsoft exclusively only use Pearson view now and I think um gcp is now using

PSI online and everyone else uses PSI um for whatever reason but yeah you have to use Pearson View and you can do it

online or Pearson view has a uh a network of test centers that uh you can go to in person personally I recommend

that you go in person if you can because if there is a test center near you the whole environment is controlled it's

going to be a lot less stressful whereas if you do it from home uh you know if you have family or you have uh the least

ideal place to uh set up uh because you have to have a non-cluttered room and they have to inspect your room and

things can go wrong so I'm just saying if you have that opportunity to go to an iners inperson test center Center

leverage that if you can't that's okay do what works for you but understand that these certifications are proctored

uh so uh when you go sit that exam there is someone who is monitoring you to make sure that you are not cheating um in

terms of the content outline there is three domains I think there used to be more but they grouped them into three

I'm not sure why uh each domain has its own waiting and and that determines how many questions in a domain will show up

so we'll look take a look there something that's really interesting about Azure exam is that they um they

don't give you the same amount of questions uh per person so they'll give you like you like you might sit the exam

and get 35 and your friend might get 40 so I had to give ranges here in terms of um uh the the percentage that will

appear on your exam so we have describing Cloud Concepts which is 25 to 30% so you're going to get about 13 to

15 questions describe Azure architecture and services that's 35 to 40% that is the majority of uh the certification

most fundamentals is about learning all the services uh that the cloud service provider is providing then we have

describe Azure management and governance so that's uh 30 to 35% with 14 to 16 uh 16 questions there is uh subdomains

under each of these so of course security is in there and all those other things are in there but we'll have to

open up the exam guide uh to see that okay so um again you know just pointing out that that domain 2 is the largest

one there so make sure that we we're going to make sure that we know a wide range of azure services but we're also

going to make sure we know in depth a a bit more about those core Services let's talk about grading you got to get 700

points out of a th000 so um that's about 70% we say around because Azure uses skilled scoring meaning that it doesn't

necessarily mean you get 70% and you pass um you could technically pass with 71% or sorry fail with 71% but you could

also technically pass with 69% so just understand it's not based on percentage it's based on a point system in terms of

what kind of questions you'll be getting well first let's talk about the range of questions but you can get between 35 to

50 I us say 37 to 37 to 50 um it's confusing because I don't know how they determine how many you get uh when I sat

my exam I got about 35 questions some people get more uh it's really really tricky to to nail that down there so you

know we say about 10 to 14 questions you have you can afford to get wrong there are no penalty for wrong questions so

absolutely uh always fill in the answers in terms of formatting questions uh we have multiple choice multiple answer

drag and drop yes and no I do need to point out that uh when you go and take uh associate level and expert level

certifications with Microsoft they have way more um question types and uh just to help prepare you uh for that

level of difficulty and it doesn't appear in these exams but in our practice exams we try to put in uh case

studies so case studies is a much more advanced um exam type question and you know I really feel that we need to do

that because if we don't uh you're going to feel like you're ready for the AZ 104 and you're going to get totally

blindsided because again the difficulty ramp is super hard so again we're increasing the difficulty for your

benefit uh so if you feel like uh this course is hard that's good because it's going to make the next one really really

easy for you uh in terms of duration apparently it's 45 minutes I cannot remember how long it was when I sat it

uh and when you search the internet it's very difficult to determine that number uh Microsoft does not make it easy to

find out that number you think that they would other cloud service providers their certification exams they tell you

right on the same page good luck finding it on azure but uh 45 minutes would still leave us with about one minute per

time again it depends if you get the 35 questions or 45 questions so we're going to have to say about a minute uh so

we'll say the exam time is 45 minutes uh some people say the seat time is 60 to 65 minutes when we say SE time we we're

talking about the time you should allocate for the exam that includes things like time to review instructions

read and accept the NDA complete the exam provide the feedback at the end now personally I think that the seat time

should always be 30 minutes on top of whatever that is so if it's 45 minutes it really would be um 75 minutes or 70

minutes or something like that so uh you know anyway if you got a 45 minute exam show up 30 minutes or 35 minutes earlier

because if you're checking in especially online you got to uh pull out your uh government ID you got to make sure the

lighting is right and then it scans it in if things go wrong uh you know it's going to cut in your time so give

yourself ample time and don't get stressed out um uh for that okay so these certifications are uh for

Microsoft are valid Forever This is specific for fundamental certifications so if you take the um any one that has

900 in the name so a900 dp900 AI 900 sc900 PL 900 ms9900 you get in the pattern here if it

says 900 in the name it's a fundamentals those certifications do not expire um and so I just want to make that very

very very clear um for the other levels like associ expert um I think it's two years it's either two or three years but

uh the interesting thing is that if you want to get recertified um you don't have to pay to

take the exam again you can take a simpler test to U make sure that your knowledge is up to date and I think it's

free so uh that's a great advantage that Microsoft has at the associate and expert level specialty level but uh yeah

there we go and I'll see you in the next [Music] one all right so I went on to the

internet and I searched for a900 and we've ended up on the learn. microsoft.com the reason I want to show

you this page is to uh get more familiar with where we actually get the information um so that you can read up

about about it if we didn't answer everything or if anything has changed um but it's good good good to be familiar

with these pages so once you're here here uh on the a900 um what they'll have down below

here is the study guide now the study guide used to be in a PDF format and for whatever reason Azure has just made it a

website with all the other study guides here I really don't like this format um I find that it's very hard to find uh

information and to read it I really prefer the old PDF but that's never coming back or if it is it's somewhere

else and I don't know where it is but what we can see over here um is the actual breakdown so so we have Cloud

Concepts and so we think see things like defining cloud computing share responsibility model the um different uh

deployments of cloud um and a bunch of other stuff here um you can see describing the cloud

service types now at one point they actually removed this and now it's back so that's really interesting I don't

know why they ever removed it to begin with but it's good to see that that is uh returning we have uh I call This

Global uh infrastructure or uh and uh cloud networking so they call this core Architectural Components which I suppose

some of these things are but this is more like a billing thing and this is more Global

infrastructure then we have Azure comput and networking services so we're recovering virtual machines functions

skill sets availability sets uh Azure virtual desktop now we don't have to do all these things um and we aren't going

to do all these things because some of these things are really hard like Azure virtual desktop is not an easy task but

we need to know what they are we are going to launch a virtual machine uh and uh play around with that a little bit we

are going to launch an Azure function um then we have storage services so we do a lot with Azure uh storage because it is

uh cheap and easy to use uh then we need to know how to perform different operations with Azure um Azure storage

there then we have Azure identity access and security so um again this is a subcategory under here or subdomain so

we need to know a bunch of things about security I'm just going to tell you that some of the content is going to say

Azure ID some of it's going to say Microsoft Entre ID um Microsoft for some crazy reason decided to change the name

of azure ad even though everybody was fine with it it confuses uh myself and Boo and everyone else to this day so

just understand that some of it's Azure ID some of it's Microsoft entra ID but this is this is really what's going to

be going forward okay we have described cost Management in Azure so that uh that's TCO so more pricing stuff here um

a Azure purview Azure policy we have the Azure portal which is just the platform which we use

everything Azure Arc which uh I guess it's okay to know uh we actually do a lot of interesting coding here so I show

you how to do IC with um arm templates and Azure bicep and terraform uh so that stuff's fun there

we look at uh monitoring tools so we look at Azure service Health Azure advisor all sorts of fun stuff now there

could be other stuff that appears exam that's uh uh not on here and so we just do a very thorough job to show you uh

basically everything and just to kind of round out your knowledge but again it's very difficult to um to find all the

details like the time of the exam and the amount of questions they really just do not make this easily available here

if anyone finds it please tell me because I sure can't find it and uh the only way I know is by Sting the exam and

I have to remember those details afterwards they do show what kind of changes that they make um so they're

always making teeny tiny changes but try not to worry about that too much because we do ensure to include a lot of stuff

here and this exam is up to date and and and the fresh and as fresh as it can be as of this recording but you know I find

that even two years out people are passing uh like people are passing the the current exam with the old the old

one um which is which is really interesting so it just shows you that not much changes on those exams okay but

anyway that's that another thing I want to show you is the exam s sandbox so this uh emulates the Pearson view uh

kind of experience and it'll just show you some of the question formats now uh we are under here for the a900 and it

might show us more exam types than what we'll actually see on the exam so go here this just has 10 questions it's

going to just show us all the types so here we have multiple choice then we have multiple select I'm not looking at

what the correct answers are or reading any of it I'm just showing you here I believe that we drag these into these

areas here so that's this one then this one is your answer area and you're bringing them over and then

you're trying to uh determine the order so you're changing the order here then this one's an answer area so we go here

and it's just an image and this is draggable we have this one here so we look at this graphic and we try to match

it based on this information we read it very clearly this one here

um uh what is this for a hot area so hot area is you have a Graphic very similar to that other one but you click it it's

almost like you're kind of interacting with it but you're not it's just an image then we have a case study so this

is something that we absolutely absolutely give you in our platform and you will not see this on your exam but

we give you this exam question type anyway because it's super important uh to get that kind of experience you

notice this one's a little bit more uh robust in terms of the information and so there are other things um yeah

another thing with case studies is when you do a case study you basically get a series of questions around this case

study right and it went to the next part and it's kind of like a mini exam inside the mini exam I'll show you case studies

in another video so I know I'm going really quick there but uh we'll come back to that then sometimes you have uh

these additional tabs so this is kind of like a minic case study for just a particular question but they might say

hey uh check out the exhibit and you have to look at the exhibit come back and then answer the question so there's

that and then sometimes there's multiple exhibits so yeah but uh yeah there you go so that is the um the sandbox there

so hopefully that gives you a good idea the price might vary based on where you live so if we go to Canada I'm not sure

what the price is in Canada so we go here and it still shows $199 USD we go somewhere else does it

ever show a different price sometimes it does okay for some reason Canada gets a bad price but uh some other places do a

little bit better so understand that that price is going to fluctuate based on where you live um yeah hopefully that

gives you an idea of the uh exam and we'll see you in the next one okay ciao

hey this is Andrew Brown from exam Pro and we are at the start of our journey asking the most important question first

which is what is cloud computing so cloud computing is the practice of using a network of remote servers hosted on

the internet to store manage and process data rather than a local server or personal computer and so when we're

talking about on premise you own the servers you hire the IT people you pay or rent the real estate you take all the

risks but with a cloud provider uh someone else owns the servers someone someone else hires the IT people someone

else pays or rents the real estate and you are responsible for configuring cloud services and code and someone

takes care of the rest of it for you okay so to understand cloud computing we need to look at the evolution of cloud

hosting going all the way back to 1995 where if you wanted to host your website or web app you'd have to get a dedicated

server so that would be one physical machine dedicated to a single business running a single project a site or an

app and as you can imagine these are expensive because you have to uh buy outright the hardware have a place to

store it the network connection having a person to maintain it um but it did give you a guarantee of high security um and

they still do as of today so this model hasn't gone away but it's been specialized for a particular use case

then came along the virtual private server so the idea is we still had one physical machine but now we were able to

subdivide um our machine into submachines via virtualization and so essentially you're

running a machine machine within a machine and so you had better utilization of that machine um running

multiple web apps as opposed to having a physical machine per project so you got better utilization and isolation of

resources and so uh these two options still required you to purchase a machine a dedicated machine and so that was

still kind of expensive but then came along shared hosting and so if you remember uh the mid 2000s like with

GoDaddy or HostGator or any of those sites where you had really cheap posting the idea is that you had this one

physical machine shared by hundreds of businesses and the way this worked it relied on uh tenants underutilizing

their resources so you know you wouldn't have a submachine in there but you'd have a folder with permissions that you

could use um and so you would really share the cost and this was very very cheap um but you were limited to

whatever that machine could do and you were very restricted in terms of the functionality you had and there was just

poor isolation meaning that you know if one person decided to utilize a server more they could hang up all the all the

websites on that single server then came along Cloud hosting and the idea is that you have um multiple physical machines

that act as one system so this is distributed computing and so the system is abstracted into multiple cloud

services and the idea is that you basically get the advantages of a lot of the things above so it's flexible you

can just add more servers um it's scalable it's very secure because you get that uh virtual isol Iz ation you

get it extremely at a low cost because you're sharing that cost with the users where in the shared hosting it might be

hundreds of businesses we're looking at thousands of businesses and it was also highly configurable because it was a

full virtual machine now uh Cloud actually uh still includes all of these types of Hosting they haven't gone away

uh but it's just the idea that you now have more of a selection for your use case uh but hopefully that gives you an

idea what cloud hosting looks like and it really has to come down to distributed computing okay

[Music] hey this is Andrew Brown from exam Pro and we are looking at common cloud

services so a cloud provider can have hundreds of cloud services are grouped uh into various types of services and

the four most common types of cloud services for infrastructure as a service uh and we'll talk about what that is

later on uh would be compute so this is where you have a virtual computer that can run applications programs and C uh

code then you have storage so this is where you would have uh virtual hard drives that you could store files uh

then you'd have virtual networking because you have these computers and storage so you need to uh put them in

some kind of virtual Network and then you have databases so uh just imagine um a database that is running in the cloud

or uh if you're not familiar with databases just imagine that it's excel in the cloud but it Powers your web apps

uh and one thing I want you to know about the term cloud computing is that you even though it says Computing in the

word uh at this point we just use it as a catall term so it could refer to all of these categories so when I say cloud

computing I could be referring to compute network storage and databases but you can also say cloud storage Cloud

compute Cloud databases Cloud networking and people will know what you [Music]

mean hey this is Andrew Brown from exam Pro and we are looking at what is Microsoft so you've probably seen this

logo before and and Microsoft is an American multinational computer technology corporation headquartered in

Redmond uh Washington and Microsoft makes software phones tablets game consoles cloud services which is uh what

we care about here today and they even have a search engine uh and we're not just limited to that list they have tons

of stuff but Microsoft is best known for uh their oper operating system called windows and they've been around since

the 1970s so uh they've been around for quite a while in the tech sphere uh so

now that leads us to the question is what is azure so Azure is what Microsoft calls their cloud provider Service uh

and so it's called Microsoft Azure or we commonly refer to it as just Azure uh and so here is the logo for it if you're

wondering what is the name behind the service it means bright blue color of the cloudless sky so sure that's great

um and so uh you'll hear me say cloud service provider frequently with throughout this course and it is

abbreviated to CSP but that's what Azure is it is a cloud service provider so there you

[Music] go hey this is Andrew Brown from exam Pro and we are looking at the benefits

of cloud computing so what are the benefits well we have a big list here for you starting with cost Effectiveness

so you pay for what you consume there is no upfront cost you pay as you go also abbreviated as P YG uh and you're

sharing the cost with thousands of customers so that's how you're getting that uh that low low cost another

benefit is that uh you can go Global so launch workloads anywhere in the world just choose your region um and uh you

are now in the global market uh another benefit is uh the the cloud is secure so Cloud providers take care of the

physical security and cloud services can be secur by default or you have the ability to configure access down to the

granular level so you have a lot of security controls that you would have that you you would normally not have or

you'd have to build out on pram now the cloud is also known for being reliable so you can have data backups

disaster recovery and data replication and fault tolerance uh the cloud is also scalable you can increase or decrease

your resources and services based on the demand uh the cloud is also elastic so you can automate scaling during spikes

and and drop the demand when uh there is no longer the demand for that stuff uh and it's also current so the underlying

Hardware in manage software is patch upgraded and replaced by the cloud provider without interruption to you uh

and I mean the last one there is cases of interruption but generally fewer interruptions than you would have on

Prem so there you [Music] go hey this is Andrew Brown from exam

Pro and we are looking at the different types of cloud computing and we have this nice pyramid on the left hand side

to help us understand um how each type builds off the other starting at the top of our pyramid we have software as a

service also known as SAS and this is a product that is run and managed by the service provider you don't worry about

how the service is maintained and it just works and remains available so you might not be aware of this but you

probably already are using a SAS product so examples of that could be Salesforce or Gmail or Office

365 so those are those are things that would be considered SAS and these are really for customers so it's just you

wanting to use uh software um like General software on your computer but in the cloud

the next category we have is platform as a service abbreviated as pass and so here we focus on um development and

management of your applications uh and so you don't worry about provisioning configuring or understanding the

hardware or Os and this is really for people that are building apps but they don't but they don't think about any of

the infrastructure underneath services like this would be elastic beanock on AWS or Roku which is very popular

amongst um Junior developers which is a thirdparty service um for launching web apps and then you have uh the Google app

engine so those are three examples there and these are really for developers so platform of service makes it easy for

developers to uh build apps on the cloud without worrying about all the stuff underneath and at the bottom we have

infrastructure as a service IAS um and this is the basic building blocks of cloud it so provide access to

networking features computers and data storage space don't worry about the about it staff data centers and hardware

and this is the true Focus focus of our course here is focusing on this layer but um the thing is again on this

pyramid is that I um the infrastructure service can have platform as a service and software as service on top of it and

so examples of infrastructure service would be Microsoft Azure uh AWS or even Oracle cloud and so this is really

intended for administrators um so that is the three types of cloud computing and there you

[Music] go hey this is this is Andrew Brown from exam Pro and we were looking at the

types of cloud computing responsibility so we saw the three categories there um but we don't really understand what it

is that we're responsible for and what is the cloud service provider responsible for so let's uh lay out our

categories and we're going to include on premise uh into this because technically on- premise could be uh a private cloud

and should be in the category here so we have on premise infrastructure is a service platform is a service and

software is a service so when we're looking at applications um it's going to be the

customers's responsibility um for on pram uh infrastructure pass but when we have software of service um the cloud

service provider is responsible for that when looking at the data level it's going to be the same for software as of

service uh the cloud service provider is going to be uh responsible but the for the rest it's going to be the customer

and then on the next level for the runtime uh it's going to be uh responsible on the cloud service

provider for the platform is a service and software is a service for middleware it's going to be the same for the OS

like the operating system that is running on the service it's going to be the same then when we get to

virtualization now it's uh the uh virtualization is responsible um with the cloud service provider and above and

then for storage it's or sorry servers it's the same uh for storage it's the same and for networking it's the same so

you can see that on premise you're responsible for everything and the the farther we move up the types of cloud

computing the less respons responsibility you [Music]

have hey this is Andrew Brown from exam Pro and we were looking at azure's deployment models and the first model

we're going to talk about is public cloud and that's where everything is built on the cloud service provider

you're not using anything on Prem or in your own data centers everything is running within Azure uh and generally

this is known as Cloud native um but for some reason Azure calls it public Cloud so that's what we're going to use in the

terminology here and so here I have an architectural diagram where we have a network uh on Azure and within that

Network we have a virtual machine running and a database running so that would be an example of public Cloud then

we have private cloud and so this is where everything is built on the company's data centers also known as on

premise because it's within the premises of the organization uh like their physical location and uh it could an

organiz organization could technically be operating their own cloud but it would be private cloud and they

could be running some open-source Cloud software that mimics what um Azure would do such as open stack so it looks very

similar uh but you just uh put an open stack in there and it's running a virtual machine or a server and it's

also running a database and the last on our list here is hybrid so with hybrid uh you are using both on premise and the

cloud service provider and they're connected together and so there's a lot of different networking services that

you can use that will facilitate the connection between the two uh in this case we're using express route Express

rout is a dedicated uh connection it's like having a fiber optic Line running from your on premise data center to the

Azure Network so just one of the ways you can connect and if we wanted to understand like the pros and cons I have

this nice little table here we'll just quickly go through it so if you're using public uh Cloud uh it's more cost

effective security um it it's uh it sced controls are stronger by default but some people might not find the cloud

will meet all their security requirements because of government and Regulatory um uh regulatory reasons not

because the the cloud is not secure but it's just those uh those policies uh for level of configuration it's going to be

limited based on what the cloud service provider exposes to you um still there's a lot of configuration there it's just

that if you're if you have your own servers uh you obviously can do anything and everything with them for technical

knowledge you don't need to have as much in-depth knowledge of the underlying infrastructure because you're not

physically setting up uh or that networking everything else now coming down to private Cloud private

cloud is the most expensive option on our list um so you're going to be paying uh a lot of money there uh for security

uh there is no guarantee that is 100% secure because you just don't have the same kind of visibility that you would

have with a cloud service provider with all those dashboards it's just so hard to build out all that software but you

could meet your security compliance requirements um depending on your situation U but this is becoming uh less

and less as um more governments and larger organizations move over to the cloud uh you can configure

infrastructure exactly how you like because you literally have uh bought the hardware and can do anything you want

with it uh and the technical knowledge you'll have to have a serious amount of technical knowledge you might even have

a really hard time finding the resources to uh to maintain all that stuff then uh down below we have the hybrid model so

this could be more cost- effective based on uh what you offload to the cloud and also the cost of actually moving data

back and forth uh for security uh you know you have more to secure but uh technically uh some things are easier to

secure on the cloud than it is in uh private so maybe you have a boost in security you're going to get the best of

both worlds in terms of configuration uh and for technical knowledge you're going to need to know both the cloud and and

uh like how to set things up on premise so that's the most work there and just one more deployment model here I just

want to talk about cross Cloud this isn't something that is listed on the actual exam but it's something that you

should understand and know and so cross cloud is when you're using multiple Cloud providers sometimes people refer

this as multicloud or hybrid cloud and so I just have an example here so um uh there's a service called Azure Arc and

what Azure Arc does it extends your control plane so you can run um containers kubernetes containers on

different platforms and so you could have AWS on the left hand side with eks and gcp kubernetes engine and so you can

be running virtual machines and they're all treated like they're on the same network so cross cloud is coming uh very

popular with extremely large organizations where they they have uh very unique requirements but I I

definitely want you to know what that is because it just gets left out uh and it's definitely something that is uh

part of the industry so there you [Music] go hey this is Andrew Brown from exam

Pro and we are looking at the concept of total cost of ownership tcco so what is the difference between on premise so

having your own data centers and then using Azure and you'll notice above it it says KAC and Opex we're going to talk

about that in the next slide but for the time for the time being we're going to focus on the total cost of ownership so

to really make sense of this uh I always use this graphic here uh and if you're wondering what that is those are

icebergs people sometimes think they look like teeth and so just to make this drawing a little bit more clear I've

added some penguins and a whale so there's no mistaking it and the reason we're using this as a representation is

because we have the top of the iceberg which are the cloths that we're generally concerned about but then we

have those hidden cloths those CLS that we're not really think about that is underneath the water and if you know

icebergs they can be really big underneath you don't know so um on the left hand side the cost that we

generally think of is the software license fees uh and then uh for the cloud service provider we look at the

subscription fees and so when you're comparing these two sometimes the subscription fees can cost more than the

software license fees so you'd think well we should really just use uh um on Prem because it's more cost effective

but when we Tak in the total cost of ownership all the costs involved we're going to see a very different picture so

on the left hand side if you uh are on premise you have to deal with the implementation the configuration and the

training but you also have to deal with the physical security of your building you have to pay for the hardware you

have to pay for the IT personnel you have to uh deal with maintenance now on the right hand side on the cloud you

still have to do implementation and configuration and training but that's about it so um there's a big difference

in terms of what you have to do and you might ask okay well what is the amount of savings well generally people find

that when they move from on Prem to the cloud they save 75% that's a lot of money okay 75% of

what you generally would spend and so now all this stuff on the left- hand side is now azure's responsibility you

don't take care of those anymore Azure is going to take care of it for you so that's total cost of

[Music] ownership hey this is Andrew Brown from exam Pro and we are looking at Capital

versus operational expenditure so on the Le hand side we have capex so Capital expenditures on the right hand side we

have operational expenditures Opex and so looking on the left- hand side capital expenditure is spending money

upfront on physical infrastructure so deducting the expenses from your tax bill over time a lot of companies larger

companies are used to dealing with capital expenses and they know how to work their tax bill and so that's why a

lot of people are afraid to move over the cloud because they're used to this uh this this way of operating but let's

talk about some of the things that would be considered a capital expanse so again it's anything that's physical and then

you're buying it with money UPF front so computers so that would be your server costs if you were to buy hard drives

that' be your storage cost if you bought routers cables and switches for your network if you were uh purchasing things

for backup and archive costs if you had disaster recovery so like an un uninterruptible power supply would be an

example of that uh you have your data center cost so that's your rent cooling physical security your technical

personnel so you're hiring people to to do things for you and so with capital expenses you have to guess upfront what

you plan to spend um now let's look at operational expenditure so operational expenditure is the cost Associated when

an on-premise data center has put has shifted that cost of the service provider so here in this case it's the

cloud service provider and the customer only has to be concerned with nonphysical costs so what's examples of

opec's cost well leasing software and customizing features training employ emplo in cloud services paying for cloud

support um building based on the cloud metrics so compute usage and storage usage uh and the advantage here is that

with operational expenses you can try a product or service without investing equipment so we have flexibility of uh

investment and we also from the previous slide we saw that we have a huge reduction cost so there's two reasons

really good reasons to use the [Music] cloud let's take a look at Cloud

architecture terminologies before we do let's talk about some of the roles that are around uh doing Cloud architecture

so the first is Solutions architect this is a role in a technical organization that Architects a technical solution

using multiple systems via researching documentation and experimentation and then you have the cloud architect this

is a Solutions architect that is focused solely on architecting Technical Solutions using cloud services

understand that in the uh actual Marketplace a lot of times Solutions architect is used to describe both a

cloud architect and a Solutions architect and you know these are going to highly vary based on your locality

and how companies want to use these terms but this is just me broadly defining them here so just don't take

them as a perfect word in terms of what they're representing so a cloud architect needs to understand the

following terms and factors uh and Factor them into their designed architecture based on the business

requirements so we have the idea of availability your ability to ensure service remains available scalability

your ability to grow rapidly or unimpeded elasticity your ability to shrink and grow to meet the demand fault

tolerance your ability to prevent a failure Disaster Recovery your ability to recover from a failure and there are

a couple other things that uh that should be considered they're not terminologies but they're definitely

important to a Solutions architector Cloud architect and uh these are things you always need to consider uh as well

and this is just me talking to my Solutions architect friends where they'll always ask me these two

questions after presentation they'll say how secure is the solution and how much is this going to cost all right and so

for the terminologies up here we're going to Define these right away and we're going to figure these out

throughout the course we have two giant sections just on cost and security alone uh so there we

[Music] go hey this is Andrew Brown from exam Pro and we are looking at the concept of

high availability so this is your ability for your service to remain available by ensuring there is no single

point of failure or ensure a certain level of performance so here I have a technical architectural diagram that is

describing High availability so the idea behind this is that if you have a server which runs your web application if you

were to run redundant versions of your server if anything happened to a single server traffic could always be red to

those other servers and that way your service would remain available now having multiple servers is great but

even what's better is having multiple servers in multiple data centers because something could happen to a data center

it could become unavailable of a networking issue so by being able to Route traffic or uh that way you're

going to remain highly available and and uh running a workload across multiple availability zones and availability

zones is what Azure calls their data centers ensures that if one or two data center becomes unavailable your service

will remain available very very common to run uh at least three servers across three data centers now how would you

distribute the traffic or manage the traffic to all three and that's where an Azure load bouncer comes into play that

green triangle with the arrows that is the representation of a load bouncer so load balcer allows you to evenly

distribute traffic to multiple servers in one or more data center and if a data center or server becomes unavailable so

unhealthy the load balancer will rote the traffic to only available data centers with servers so there you go

that is high [Music] availability hey this is Andrew Brown

from exam Pro and we are looking at the concept of high scalability and this is your ability to increase your capacity

based on the increasing demand of traffic memory and computing power if you are a growing company you're going

to have to scale up you're going to have to get bigger and better servers but the uh there are different types of scaling

and the first type is vertical scaling this is the the the most obvious one people are going to think of and it's

called scaling up and what we do is we just upgrade to bigger servers we need bigger hard drives faster computers

that's vertical scaling but there's another kind of kind of scaling called horizontal scaling and horizontal

scaling is is described as scaling out and what you're doing is you're just adding additional servers because we saw

with the high availability we have a load balcer we can distribute traffic to multiple servers and three servers can

equal the same thing as one big server so um horizontal scaling is when we add more servers of the same

[Music] size hey this is Andrew Brown from exam Pro and we're looking at the concept of

High elasticity and this is your ability to automatically increase or decrease Your Capacity based on this the current

uh demand of traffic memory and computing power so this sounds a lot like high scalability but the key

difference is that it's automatic and you can decrease the demand not just increase it and so the way we would do

that is that we would have a virtual uh virtual machine or server and if we needed more servers we would add more

servers and if we need less servers we would remove less servers and so this is going to be accomplished using

horizontal scaling so when we say we're scaling out this means we're adding more servers of the same size when we're

scaling in this means we're removing more servers of the same size and generally you're not going to use

vertical scaling for high elasticity it's just extremely difficult to um uh uh to vertically scale because if you H

if you have to increase let's say your storage Drive um and then you decrease it you could lose data so it's not a

good idea or or even feasible to do vertical scaling with high elasticity now how would you accomplish uh being

elastic on Azure uh well You' use azure's VM scale set so scale sets automatically increase or decrease in

the response to demand uh uh b or based on a defined schedule and we'll talk about those in Greater detail later in

this course uh and then we have SQL Server uh or server stretch database these dynamically stretch warm and cold

trans transactional data from Microsoft SQL Server 2016 to Microsoft Azure not something we're going to cover but it's

generally the same concept that skill sets uh do so there you go that's high [Music]

elasticity hey this is Andrew Brown from exam Pro and we're looking at the concept of being highly fa tolerant and

this is your ability for your service to ensure there is no single point of failure preventing the chance of failure

so when we looked at high availability we had also said that it was no point of failure but when we really talk about

that we're really talking about being highly fault tolerant because there is the word failure in the word and that is

what being fa tolerant is and so how do we prevent failure well we use the concept of failovers so failovers is

when you have a plan to shift traffic to a redundant system in the case a primary system fails and so I have a Graphic

here that represents um a primary database failing over to a secondary database and I have a bit of a

description here so the idea is that we have um a copy of our production database we're going to call that a

secondary system uh and the idea here is that every time something is ritten to our primary database it's going to be

synced so it's going to be sent over to our secondary database so it's up to date with the latest database and then

if uh the primary database uh happens to fail for whatever reason whether it's Hardware or otherwise something's going

to detect that there's something wrong with the primary and it's going to fail over to the secondary and the secondary

is going to be promoted to being the primary instance and the key thing to understand is that that that secondary

is standby it's not in actual use uh it's only in use when the failover occurs so what would you use an Azure to

uh build out a highly fa tolerant system that's where aure traffic manager comes into play um so with this uh and this

works with a DNS level um and so the idea here is that you can uh fail over from a primary system of the DNS level

to a standby this is really great if you have Regional failures you could probably also use a load balancer but

this is the case that I'm showing here but there you [Music]

go hey this is Andrew Brown from exam Pro and we are looking at the concept of high durability so this is your ability

to recover from a disaster and to prevent the loss of data um so this could be solution that recover from a

disaster is known as Disaster Recovery Dr uh and so I'm just going to ask you a bunch of questions to help you think

about how how to be highly durable so one question would be like do you have a backup so do you have a backup in place

how fast can you restore your backup does your backup still work how how do you ensure Uh current live data is not

corrupt so that is the concept of high durability there's a variety of services to implement it so it's not just a

single service um but there you go that is is the full list of cloud architecture

[Music] terminologies so to understand Disaster Recovery we need to know more about uh

things around it like business continuity plans BCPS and RTO and rpos so a BCP is a document that outlines how

a business will continue operating during an unplanned disruption in services so it's basically the plan that

you're going to execute uh if that happens and so here we have a disaster and you can see that there's a chance of

data loss and downtime and these two um uh factors as RPO and RTO are going to define the length of these durations so

recovery Point objective is the maximum acceptable amount of data loss after an unplanned data loss incident Express

this amount of time so how much data are you willing to lose and then recovery time objective so the maximum amount of

downtime your business can tolerate without inuring a significant financial loss so how much time you're willing to

go go down okay so those are the two there and now let's go take a look at the disaster recovery options that we

can use to define in our our [Music] BCP so now let's take a look at our

disaster recovery options uh and based on what you choose they're going to be a trade of cost versus time to recover

based on the rpos your RTO of course and so sometimes this is rep represented vertically like a a thermostat or you

can do it horizontally here um both valid ways of displaying this information but I just have it

horizontally here today and so we have low or high or you could say um even though I don't have it written here this

could be cold or this could be hot okay so um on the left hand side we got backup and restore pilot light warm

standby multiactive sight notice we're using the like the words like pilot light warm things that are relating to

temperature so again cold and hot all right so let's just walk through what each of these things as conceptually do

uh in terms of architecture so when you're doing a backup and restore you're back you basically back up your data and

uh at the time of Disaster Recovery you're just going to restore it to New infrastructure uh for a pilot light the

data is replicated to another region with the minimal Services running to keep on replicating that data and so you

might have some core Services running a warm standby is a scaled down copy of your infrastructure so you basically

have everything that you would absolutely need to run an application but the idea is it's not at scale and so

at any time when there's an incident you're going to scale up to the capacity that you need and then you have

multi-site active active where you you have a scaled up copy of your infrastructure in another region so

basically everything you have identically in another region and so in terms of the rpos and the rtos for back

and restore you're looking at hours uh with the pilot light you're looking at 10 minutes with a warm standby you're

looking at minutes and multi sight uh active active you're looking at uh real time so you know hopefully that gives

you an idea of you know the the difference in terms of scale but let's just look at more detail so for a backup

and restore this is for low priority use cases restore data after events deploy resources after an event and it's very

cost effective uh for pilot light this is where you have less stringent RTO and rpos so you're going to be just running

your core Services uh you're going to start and scale resources after the event and this is a little bit more

expensive this is uh very good for warm standby is good for business critical services so you scale resources after

the event uh and it's uh almost very it's very it's costly but it's not as expensive as

a multi-site active active so you get zero down time near zero loss uh you have it's great for Mission critical

services and it's just as expensive as your original uh infrastructure so you're basically doubling the cost there

[Music] okay hey this is Andrew Brown from exam Pro and we are looking at the evolution

of computing and this is going to really help you to understand the different layers of compute uh and so we're going

to start from uh on the left hand side to dedicated and work our way all the way to functions so what I want you to

know is that uh when we're talking about dedicated this is a physical server wholly utilized by a single customer and

so the idea is that this customer has purchased uh this dedicated piece of Hardware um but the thing with this is

that you have to guess your capacity So when you buy it it's like a capital cost or you're purchasing uh uh for for like

the whole like you have to plan how you're going to fully utilize it so you're going to overpay uh and you're

going to have underutilized servers and the reason why is that when you first launch your app it might be small and

then you're expected to grow into that space But you're just not using that space until you grow into it so it's

considered wasted um if you want to upgrade Beyond Your Capacity this is going to be slow and expensive you

literally would have to buy a new server that's larger and then move everything over you're going to be limited by your

operating system so whatever operating system is installed uh that's what you're going to have uh you're going to

have multiple apps uh if you do install multiple apps onto a dedicated server you might have conflicts in resource

sharing but generally it's recommended to only have a single primary application on a dedicated server uh you

are going to have a guarantee of security privacy and full utility of the underlying resources because that is

what that's the whole purpose of having a dedicated server is sometimes dedicated servers where you have full

control of everything is called bare metal and that's basically mimics what it was like to have a server on Primus

or back in the day and they still exist so that is dedicated we'll move on to VMS so now we're moving on to Virtual

machines also known as VMS and so the idea here is that if you had a physical server and you had the capability of

running virtual machines that's like running a machine within a machine and so now you're able to run multiple

applications on a single machine uh the technology that's used to actually run VMS is known as hypervisor there there

are some other kinds but the ones we need to know uh is hypervisor so just know that that's the software that makes

virtual machines work um you are now sharing the physical server with multiple customers that is generally a

good thing because you are paying a fraction of the server cost you don't have to buy that server outright um you

are still going to be uh uh overpaying for under underutilized uh uh the underutilization of a virtual machine

because it still has an issue of wasted space because you have to choose a particular size of virtual machine it's

not going to be perfectly fit for your application uh you are going to be limited by your guest operating system

so whatever OS that you've chosen that's what you get um uh so that's that's what you have there if you want to run

multiple apps on a single virtual machine they can still result in Conflict uh resource sharing but now uh

customers that are isolated from you aren't going to conflict with you so you can run you could run uh if you had

three apps you could run them as three virtual machines so you're not going to have that issue but if they're on the