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Introduction to the Google Cloud Platform Architect Exam Prep Course
1. Course Introduction
So this course here is going to get you ramped up in Google Cloud Platform so that you can successfully take the GCP Cloud Architect exam and pass the first time. Now, one of the challenges as a technical trainer is to make sure that you provide enough information so that the students are able to pass the exam the first time. Now, one of the things I worked on when creating this course was cutting out all the fluff from the traditional courses that are publicly available and reducing them to about 50% of their normal content. So therefore, a three-day class is essentially a day and a half, or just less. This is the goal of this course. So basically, I took out the marketing fluff from the vendor content.
And basically, as an instructor, I also took out the busy work that's typically inserted into a course to keep the course going a little bit longer. So in reality, a lot of the technical courses that are three days could be cut down to two if you remove a lot of what I call "busy work," like exercises and demos that no one wants to watch. And so that's called busy work. So let's set expectations for this course. I went ahead and condensed the content and focused on getting you certified. Only I significantly reduced the certification preparation time.
I then went and took the 20-plus lectures covering every subject area in the JTA for the exam. I created a practice quiz after each of the technical lessons. Then I created a final exam that simulated the real questions on the exam. This is important. I then created a downloadable PDF file that condenses the content for you to review so you can print it out or keep it on your desktop. That way, you have a copy for future use. And lastly, you'll be provided with my contact info to ask any questions. I welcome your questions and I do want to how you doing the test. I want to thank you for considering this course and I look forward to working with you for the next eleven or 12 hours hopefully.
2. What this course will cover and What it won’t cover.
Okay, welcome back. So I wanted to clarify what we're going to be covering in this course and what we won't be covering. So the goal of this course, again, is to make sure that we teach you enough to take the Cloud Architect exam on the GCP platform and to be able to pass the exam. Again, the expectation is that you are familiar with the Google Cloud platform and have played around with it. You already have a free tier, and you've already started VMs in it and were able to configure storage or something and do a little bit of work in it. Now, you don't need to go out and take the GCP 100 course. That course, again, is essentially a one-day course. It's more like a seminar than anything, just to give you an overview of all the cloud platforms.
So again, we'll cover most of that anyways, and I'll make it very clear for folks what is advanced and what isn't. The goal of this course is Again, I'm going to cut all the fluff out of the architecture course—the three- and four-day courses—and make sure that you have just enough to pass the test. And I've also added some material that isn't in the course for the Cloud Architect to be able to understand how to migrate to the Google Cloud Platform, which was not covered at all. And I'm going to touch on the development areas that they test on, like Python, which I don't really think is appropriate, but again, they seem to think that it's important to them to know Python. So I'll leave it at that. Let's continue on to the next module here, and let's get you certified here, hopefully shortly.
3. What are the Google Cloud Platform Certifications? GCP Certified
So you want to become certified on Google? Well, let's go ahead and just make sure that you understand that there are several searches from Google, and right now there are only three cloud searches. So it's not like Lake, where you have a plethora of options, but they're very different, and it's critical that you understand the distinctions. So the cloud architect is going to be the one on whom you'll be focusing, especially if you're going to be focused on presales architecture or if you're going to be focused primarily on cloud administration, or more into design and migration, or maybe professional services. Now for the data engineer, this is a much harder exam than the architect in the sense that you're going to be really focused on understanding the machine, learning languages, and automated intelligence, or AI.
You'll also be focused on different methods of processing data. So basically, data processing And again, this is a little bit more of a niche area for people. And then the last one is the Google Cloud G suite. Administrator, and this one is primarily concerned with managing Google at WorkSuite, as it was formerly known. Now it's called G Suite. Right now? And so that's mainly managing user accounts and setting up email and Google Drive, et cetera. So again, those are the three certificates. The goal of getting certified is to get that recognition that you need to validate your experience and, hopefully, to advance yourself in your career. So, please, do understand the difference. Take a look and make sure that you choose the right certification path to advance your cloud skills.
4. What is a Google Cloud Platform Certified Architect?
Welcome back. So let's find out what exactly the Google Cloud Architect is. Now again, it's Google's definition, so don't expect too much clarity with it. And I don't mean that in a derogatory manner. It's just the exam; when you do take it, you'll see that it clearly wasn't written as well as the competitors would write an exam. So let me just clarify what Google is trying to tell you here. So, once again, a Google Certified Professional Cloud Architect views it differently than Amazon, Rackspace, or anyone else. So they of course want you to understand cloud architecture in Google technologies, but they also want you to understand development management and, of course, business objectives to drive those. So again, they want you to be proficient in a lot of different areas.
And also, if you go down here to basically the testable sections, they want you to know again about designing a solution. So again, they want solutions designed and a migration plan. And there will undoubtedly be questions on migrations on the test, which I will cover because, once again, if you take the CP 100 and CP 200 classes, or the exact acronym, it is not covered in the Cloud Architect course on migration, at all. So this is why I did this course: because I saw several weaknesses in the course content and am now envisioning future solutions. So, once again, being able to take a design and a solution and try to understand how it will meet those business needs or improve the processes that the customer is using. Section two covers a lot about network topology.
So definitely understand Google's networking capabilities. We'll talk more about that storage, as well as compute systems as well. So again, nothing spectacular there. You will need to know about chef puppets and carbonites, however, you say, not at a technical level but to know what they're for. You may see a question on one of those orchestration technologies; I won't tell you which one, but you should be able to identify it. Security Controls It was a little surprising that security did not appear to take up a large portion of the test area. I think I saw really important questions around identity management; that was really the scope, and then some security controls. I didn't see anything around this area, at least what I got. And then legal compliance—maybe a question about that? I don't recall anything significant about it. And then, as far as technical processes, you will get questions on SDLC. I definitely saw a couple of questions on that, as well as ITIL managing implementation as well. And then lastly there was a few questions on Java and Python and then section six actually lastly here would be around now they asked quite a bit about logging alerting, et cetera. They also talked quite a bit about, sorry about that, quite a bit about deployment and release management as well. As troubleshooting as well. So this section here, I swear, was tested pretty heavily as well. Again, they don't break down the percentage of each section, which I think they should do just because the competitors do. It would again lend some kind of credibility to the testing process, I think, as well. So that's pretty much what you can expect. I'm going to cover the case studies in a separate section because I think this needs some time spent on it appropriately, because again, you will see case studies. But let's go to the next section and I'll cover case studies. Let's go ahead and continue on.
5. The Technical Review - High Level -- before we start on specific topics.
Welcome back. So I want to do a quick little technical review before we actually get into the different sections of the exam prep boot camp. And the reason is because I wanted to make sure you had a solid idea of what we would be covering. Now, if you've taken the Cloud Architect course, a lot of this matches up, but then a lot of it doesn't. And especially like the migration area and around the development area, it just didn't cover it well.
So that's why I'm doing this. I wanted to make sure that I got out the right message and prepared you to be successful with this exam. Now there are case studies that we're going to go through, and I have a section just on the case studies, and that's at the end of the course. So I won't cover that per se at this point other than to say that I thought it was a pretty good idea to have case studies, and I did like the fact that they sort of disclosed them ahead of time. Compute Engine. I only really had two items or two questions on Compute Engine items. Basically, it was mainly focused on the different capabilities of Compute Engine. It was nothing spectacular. Hard containers basically just know what a container is and why you want to use a container, mainly for development, isolation of apps, et cetera. We'll cover that in the container section. Now, this is the area that I really felt didn't get covered well in the Cloud Architect course itself.
Now, the questions on Google App Engine were all over the map, basically from deploying it to migrating to it, to also knowing the different environments with Google App Engine, like standard, for example, and then also as far as what languages are available and what options you choose. and I'll cover all that. Again, it just seemed like they really wanted to focus on Google App Engine's cloud storage. And again, the storage is covered in all areas. You want to know what cloth storage is and the difference between airline and cold line, big data, regional, and standard storage. And I'm going to cover that in the storage section. Do you understand what "percent storage" is? And again, this is tested very heavily. So again, it was about ten questions. Dataproc, data flow, cloud data store, BigQuery, big tables—just knowing the data services was significant. And again, I didn't put the number of questions there, but it was probably around four to five. So I'm going to put four questions that I have seen on both the backup and recovery exams. Now again, you're looking at about two questions there.
There were actually questions on billing, and I was caught off guard. I remember at least one question for that too. Now, the questions on billing were interesting in the sense that you wanted to know not only how a Google virtual machine is billed, but also, for example, how disaster recovery areas are built like business continuity, etc. So we're going to talk about that. There were actually at least two questions on DevOps as well. Now, with DevOps, again, they didn't ask you about specific processes or workflows; they wanted you to know what DevOps is and why you want to use it. Again, these are fairly simple questions. Cloud Best Practices Now again, the best practises were really related to how you set up the Google Cloud Platform. So, just so you know, we'll cover projects in detail. Projects is really sort of the de facto starting point in Google Cloud; it's basically setup for billing and resource management, et cetera. We'll cover what a project is. Again, that was tested on API management. Now again, I'm going to cover what APIs are and how you would manage them with GCP performance and management as well. SQL, they want you to know the differences between them—not differences per se, significantly, but like, "What is my SQL?" "What is post-SQL?" "What is new SQL?" For example, know that SQL is relational, and no sequel is more non-relational.
Similar to the acid versus base debate found in any typical, essentially database course. And I'm going to cover what you need to know for this test. Container Management. Now, again, they didn't ask too much about containers per se; it was more about how to manage them. Now again, they really wanted you to know how to manage containers, monitor containers, and identify containers. So again, that was sort of important to them. Domain Name Service, so they want you to know DNS and know what a zone and what a record are.
Auto scaling and cloud load balancing So there were a couple of questions. There are like two questions on that as well. I won't give you the exact numbers just because I don't totally remember if it was one or two of these. Again, this was five questions. I put that down because it was significant. So, again, you know certain areas that are going to be tested heavily. So let's go ahead and cross that bridge. Before I go into the next year, I want to cover a few things. Now, one of the areas that was also tested on—and there were about two questions, but it doesn't appear in the exam guide—was actually around migration planning. So it is there, but it's not in detail. The majority of the questions I received concerned the integration of big data services or data services. So, for example, how do you migrate a SQL database to the Google Cloud Platform? And again, they wanted to know that. Another area that I had seen was the migration of storage and virtual machines. Now, I wanted to cover one more thing. Now, one of the things that you'll be tested on is the NOAA project. This is the project name. Now, you'll see here that there is a project ID and a project number. So I'm going to go over here to project settings, and you'll notice that you can change the project name, but the project number and the project ID can't change.
So if you want to identify your project in an easy-to-approach manner, that's up to you to name the proper project name. Now, you can also, for example, go over to Where Was I? Go back to your home here. So, again, I'm on the home dashboard. And so if you go over here, you'll notice that I can search projects. And again, if you want to search projects by an easy-to-use name, you need to change the name. You can't change the ID. Just be aware of that. that you may see again on the exam. Okay, one more thing. I just want to briefly cover billing. So if I go over to view the detail charges, you'll notice that there isn't too much here, and that's because I only have a single project and I'm not doing too much. But you can see that the product code, and I guess it's called product, but again, it tells you the product, and it tells you, for example, the credits that are applied. I'm running a $300 credit, and again, I'm using the free tier, so I'm not using a lot of resources. But again, if you wanted to identify areas of resource usage, the best way to do that, and let's say you want to do development and then production, human resources, or whoever, is to create a separate project for each of the departments. Again, I'm reiterating: create a separate project for each of the departments for billing purposes. So we're going to go ahead and talk more about projects. We're going to talk more about billing in the upcoming lessons. I just wanted to give you a brief overview to get you thinking and get you started. So let's go ahead and continue on to the next module.
6. Signup for a GCP Free Tier
Welcome back, folks. Let's go ahead and get started. Make sure you have a Google Cloud Platform free tier account. Now, I just want to clarify. A lot of the free tier eligibility is going to depend on your geography. It's not a problem if you're in North America; most of Asia, and so on. But it seems like Google does limit the free tier to specific countries, at least for personal use. So, if you're in Europe, my advice is that you may need to get a business account or sign up for a free account to use this. If you're visiting one of those countries where you can't sign up and do that and then use a remote, I had an old coworker that had done that as well.
So just to be sure, you need to again realize that not every location is going to work. Now, I think it's over here. I remember seeing, for example, yeah, right here. So it says again, if you're in Europe, can you select an individual account when registering? and the answer is no. Again, you need to be careful with this and just pay attention to confirm if you do qualify or not. I don't totally understand why, but I guess it has to do with the taxes or something of that nature. But again, I'll leave it up to you, since you're the expert on your own country, to figure out if you can use this or not. This explains how the Free Tier works. You get a $300 credit.
You can use this on any Google API or on the platform service itself. There are some limitations, of course. Take a look at that. Now, nothing we're going to do will go above and beyond the free tier. The goal is not to teach you everything about Google Cloud. The goal is to get you knowledgeable enough to pass the exam for the architect course. And take a look at that. The link is going to be there in the Resources tab. And let's go ahead and get started and talk about networking next.
Introduction to Google Cloud Platform (GCP)
1. Introduction to Google Cloud Platform
Welcome back. Let's go ahead and cover the GCP platform really quickly at a high level. Now, again, one of the sort of recommended areas in the discovery description was that you have some Google Cloud Platform knowledge. And so if you've taken, say, CP 100, that would be so much more helpful. But again, I don't know if that's totally necessary, but I think it would help with prepping for the course. So I'm going to do a quick overview of why you want to use GCP. So if you go to Google's website and then to the Google Cloud platform here, you'll see that they list all of their reasons again. They list why should you use the cloud platform, why it's different. And so this is essentially exactly where it came from. Now, as far as GCP is concerned, my personal thoughts are that there are two reasons to use Google Cloud Platform. The first reason is that if you're a developer looking to develop big data services or get into areas like machine language, those are clear differentiators for Google when it comes to those services.
Again, you can certainly deploy all other types of apps, such as Server less; this is a fantastic capability. But as far as using GCP for infrastructure as a service, I really do think they've got a little way to go before they catch up to Amazon. But anyway, those are some reasons. Some other reasons to use GCP is that their future proof infrastructure, very powerful analytics, server less, fully managed computing. So for example, you can use any number of Google Cloud services like Container Engine and not have to manage virtual machines or anything like that. It's certainly very friendly to developers' pricing. Now another interesting feature will be around pricing. I think they're definitely a little bit more flexible from what I've seen as well.
Now, GCP enables developers to build, test, and deploy applications on Google Cloud Platform. Now you notice that enabling this is actually straight from their page; it enables developers. So their target market is really—excuse me—really developers. Whether or not they want to admit it, they're still going towards developers. And that's great. There is definitely a huge market for that. I know a lot of customers look at GCP for possible infrastructure as a service. And again, I think you need to be cautious in some respects in that area. But again, it's a very solid platform for development, no question whatever. Now GCP's infrastructure, again, has been in the data center business for quite a while; there's no question. So they've got this network, a very large fiber optic network and it goes around from the different continents, literally. And they have submarine cables as well. So Google has the infrastructure to perform. As far as Google's infrastructure is concerned, they've got their data centers; they've got a backbone. In one of the previous modules, you saw that I had gone through the locations and the regions and everything as well.
They have plenty of points of presence and edge caching as well. So there's plenty of solid infrastructure. There's no question Google is the leader in infrastructure as well. So that's another benefit. Google is definitely committed to open APIs. I won't spend a lot of time on that. But again, Google has made investments in all of these areas, from Android to PHP to Tensor Flow—plenty of different capabilities. Another reason is around sub our billing. Google’s billing is now much more flexible than that of some of its competitors.
So for example, if you spin up a virtual machine, let's say a Compute instance, you're charged for the first ten minutes, and then you're not charged after that if you don't use it. So that's sub our billing. So it's ten minutes in increments of 1 minute, and that could be very flexible. So again, sustained use discount. So Google does reward users as well. If you're fully utilizing your resources, there are some substantial discounts. Google does have a robust library of Compute Engine machine types, and I'll show you a quick demo on that as well. So one of the things Google does is that they are clearly an application development organization, and they go out of their way to create interoperability at multiple layers of the stack.
So the application layer, the network layer, etcetera, as far as Kubernetes and GCE are concerned, they give the customer that capability to deploy those micro services that they may not be able to do as efficiently with another provider. Again, open APIs. Now, here's an interesting chart or diagram from GCP. You can see their infrastructure and previous plays, as well as how they're laid out. And so you have Compute Engine, which is more focused on infrastructure, and then App Engine, which is more focused on platform as a service. So, again, if you're more on the infrastructure side, compute engine over here, app engine over there, and this is essentially a managed service. And then here is a layout of most of the cloud platform solutions and applications that are out there. We're going to talk about most of these because you'll see most of these on the exam, and then the console definitely has some ease of use to it. I'm going to go ahead and show you the console in the next demo.
2. Demo - GCP Console
Welcome back. So I want to do a quick little "show and tell" in the console, especially for those folks that may not have any experience with the console or might not have used all the features. So again, as recommended in the course, the recommended experience area is that you do have some CP 100 training. Now again, CP 100 is basically a six-hour seminar. It's usually a one-day event or online training to give you an overview of what Google Cloud Platform is, as well as a walkthrough of the console and cloud platform features. So when you first log in, you're going to go ahead and log in, and it'll bring it to the dashboard. So the dashboard, as you can see, has many windows. Again, you can make them smaller, make them larger, or whatever you want to do. You go over there to customize. So you can see that you can turn it on and off. You can see I've got news off.
Then over there, maybe I don't need to get started anymore and I don't really care about, let's say, trace since I'm not using it, and I will leave everything else the same. So I go over to Don, and you can see that it updated my dashboard. So with the Google Cloud Platform, again, the flow is fairly simple. You go up here to where it says products and services. This is where you have the sidebar drop-down menu that will list the products that are available. So you have compute and storage, Stack driver monitoring, tools over here for big data, et cetera. I'll cover most of these in the upcoming sessions that we have. That way, you'll have a head start on taking the test and will know exactly what you'll be testing on. So that, again, is the dashboard. There were a couple other things I did want to show you before we moved on. You can see it up here. I have this. It says "GCP Professional Boot Camp." So I click here, and it basically brings up my projects.
Projects, as we'll see, are essentially a container for your billing and resources, among other things. Now I'll cover the difference between a project and an organization, et cetera. But for the time being, just know this is the project. So if you go select this one here, you'll see that the dashboard actually updates. And so this is a way you could have, for example, a master account and then have, for example, development and operations still using the same master account, but with separate projects for what they're doing. Again, there are many different things you could do with this. It's a very powerful feature that they have activity, which I call virtue activity. And this is just going to let me know what I have been doing with my resources—create a firewall, create this, et cetera. Et cetera, attach a disk. Basically, I set up a quota. You could see like a red alert there, saying that I had a quota issue, et cetera, et cetera. So back to the dashboard.
Okay, now we go up here to the search area. Now, let's say, for example, that now it's more than easy to find what you need here at a high level. But let's say, for example, one of the areas that's not totally obvious would be billing. So you go to billing, and it will bring you directly to billing. Assume, for example, that you want to find, say, BigQuery, but you're not sure what you need in BigQuery. You can see that it'll bring up additional areas like the API launcher solutions, for example, et cetera. So I go to the Big Data API, and it explains everything. If it's running, there's basically nothing really going on. It has been installed, and it has been enabled, but, again, I'm not actively using it as of yet. That's the search. very simple to do. Now over here, you can see that it says free trial, and the little gift is a free trial. So basically, it tells me the status of my free trial. I want to go ahead, and I can upgrade when I'm done with the free trial. Or I could just dismiss it. Then I go over here, where I could activate the Google Cloud Shell. So I click on that, and you'll see down at the bottom of the window here that it brings up the Cloud Shell. So this is the command-line utility to basically use the query to update whatever you're trying to do. same thing as what you do in the console, but you may have to use the command line to do what you have to do with Cloud Shell, for example.
And again, you go over here to launch the code editor. Also, go over here to do a Web preview. So, if you click there, you can point it to whatever you want if you're doing a Hello World app or something. If you go over here, you can see that you can go ahead and restart Cloud Shell. It tells you usage statistics. Could also upload a file so that let's say for example here, I want to upload a little script to copy in there. I could do that. And then this is to hide. It opens in a new window, so you can see it will open a new window. And this might make it easier for someone who is developing to use the service. So again, that's all that's done. Okay. Now I can go over here to send feedback. Now let's say, for example, you have a weird error on your screen. You could take a snapshot of it and upload it to Google for support. For example, if you need help on anything, click the help icon. This also lists, like, the most popular questions that apparently come up. This is basically telling you about notifications, the same thing you saw on the dashboard earlier. Essentially. Then, if I select here, I can then go over to view my Terms of his is basica You think you have a privacy icon there; you can go view project settings. You go to Support. You can go through a tutorial as well. Now if you click download, this is actually cool. It brings you right over to the tools and plugins. So for example, one of the first things we're going to do in the class is go through installing the Google Cloud SDK.
And again, you can see that it's got keyboard shortcuts here. So if you want to take any shortcuts, they're right here. So now you know, and then it shows me the account I logged in with. You could also add an account as well, and I could flip back and forth if I so chose, and you could update your picture. This is done. Now this part here you have to do via Gmail, basically, just so you know. And that is about all I can think of to walk through at a high level. So again, the best way to know the console is to play with the console. So again, my recommendation is, before you take the test, think in your head, I want to know what I'm going to use to be able to set up workflows." So workflows would probably be data flow, right? I want to go over here, for example, down to data flow. And again, cloud data flow provides pipelines for small and large jobs. And again, this is essentially a workflow solution. I could then go over here to DataPROC as well. And again, Data Proc tells you that it's a clustered service and tells you what it's for. So again, just play around with this. To be honest, the three major areas that I'm going to recommend that you get really good at are going to be these three for the time being. Number one, I am an administration go over here, understand about identity management. And again, we'll go through some demos on some of this.
I'm going to go through some slides on some of this. But again, in my opinion, I was tested pretty heavily. understand about identity management, federated management, quotas, etc. You know, again, a lot to worry about. The second area I would highly recommend you get into would be computing. Know the compute functions, know what they are, and know about networking as well under Compute because that's going to be tested quite a bit. There will be a lot of questions on, for example, "What was it?" Oh yeah, right here. So with VPC networks, you'll get questions on VPNs, clouds, and DNS routes as well. And Firewalls. On all of these, you're going to see a question or two on. So for example, they're going to ask you about firewall rules. My recommendation is as follows Create a firewall rule, go over here, and play around with this. Understand that firewall rules can be set up for ingress or egress. You get to allow or deny.
Now remember that there are some limitations based on what you're doing and some priorities as well. For example, you could set up priorities so that some rules override other rules. So pay attention to that target. Again, definitely play around with that. Now, one of the things about external IP addresses is that you're not going to tie an external IP address to a virtual machine. You need to bind the DHCP virtual machine address.
Essentially, it's called the internal IP address for the external IP address. So it's a little bit confusing there. But when we go through that, you'll figure it out pretty quickly and then DNS. So go over here. Here's really what I want you to do. Make sure you go over here, understand DNS, go over here to learn more, and read this page. Because again, if you don't and you don't know the difference between a DNS record, for example, and a DNS name prefix, then that could be a challenge for you to get that question right. And then also, they would like to see that you understand that there is a cloud DNS API. And I'll show you how you get there to the API's. And again, it just goes through some commands to list with G cloud. One of the things I like about this place is that they basically give you the commands to do what you need to do so you don't have to reinvent the wheel to figure it out. Go over here for an overview of cloud DNS. I'm going to post the link in the resources, understand how this all works, understand records, understand projects, and just take a few minutes. I got two questions on cloud DNS. I'm a little surprised that they tested on that. But again, do you understand what you need to know about DNS? And this page is really what you want to look at. Okay, let's go back to the dashboard here. Last year, I just wanted to sort of have you take a look at it. And again, everything is important. It's just a question of the weight. There are now numerous storage-related questions. So I'll be honest: I think I got six or eight questions just on storage. and that's out of 50 questions. So that's a big number to get in just one area. Now with cloud storage, here's the thing:
You want to know what type of storage goes with what type of service. For example, BigTable You want to know that a big table is not SQL. So again, if you're using a NoSQL database, you're going to be using the Big Table instances. So again, this is something to pay attention to. And then as far as setting up a storage bucket, so again, you want to go over the storage and create a bucket, play around with that, and then understand what SQL is as well. So again, this is the SQL storage and then Spanner. Now, Spanner is an interesting product.
Basically, this is another database service. It's managed. It is a SQL database. So again, you have to create specific instances for this to work. And so, do take some time. Now, Data Store is going to be more of an object-based storage system. So you go over your dashboard, create what's called an entity, and play around with it. I won't take up too much time on this at this point, but definitely do that. And then lastly, again, you'll get one question on Deployment Manager. You also get a question on the container registry as well. And then you'll get a question on endpoints. Now again, these are just one question each, so you're not going to get tested heavily. But again, if there are some areas that will take up your weekend, just try to make sure you understand why you want to use it, what it's going to work with, and how it goes together.
That's really sort of my thought on this. So again, just pay attention to that. And then again, just know these services and why you want to use these services. So take a few minutes to understand what goes with what and why you want to use this. And again, the big data questions You're going to see a lot of the case studies—what do you call them? —the case study scenarios that you're going to be getting. We'll be asking you to read the case study and then explain what the customer is looking for. Basically, they'll give you some idea of what the customer is looking for. And then you'll have to go in and read the case study, look at what they're trying to get out of you, and then basically match up the right service from a multiple choice perspective.
So again, if they're talking about messaging or no sequel, big data ingestion, or whatever, you have to know the right services to use. And again, the storage, like I was saying, match up the right storage to the right solution as well. And again, if you go over to, for example, storage over here, go over to the browser, you'll see that I have my buckets. Again, just play around with this. This is the only way to learn it, really. So with that said, I think you have a good starting point, especially for those that don't have hands-on experience with the console. Feel free to play around with it. Contact me if you have any questions on how to get started. Again, good luck, and we'll continue on.
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