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Google Associate-Cloud-Engineer Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Setting up a cloud solution environment	20%	- Setting up cloud projects and accounts 1. Manage quotas and limits 2. Create resource hierarchy 3. Manage users and groups 4. Enable APIs 5. Manage IAM roles and permissions 6. Apply organizational policies - Managing billing configuration 1. Configure billing exports 2. Set budgets and alerts 3. Create and manage billing accounts 4. Link projects to billing accounts
Topic 2: Planning and configuring a cloud solution	17.5%	- Planning and configuring compute resources 1. Plan data storage solutions 2. Select compute options 3. Choose storage options 4. Plan instance configuration - Planning and configuring network resources 1. Design VPC networks 2. Plan firewall rules 3. Choose load balancing options 4. Plan hybrid connectivity - Planning and configuring storage resources 1. Plan data durability and availability 2. Select storage classes
Topic 3: Ensuring successful operation of a cloud solution	20%	- Managing cost and performance 1. Analyze cost reports 2. Optimize resource usage - Monitoring and logging 1. Set up alerts 2. Use Cloud Monitoring 3. Use Cloud Logging - Managing resources 1. Scale resources 2. Update configurations 3. Troubleshoot common issues
Topic 4: Deploying and implementing a cloud solution	25%	- Deploying and implementing data solutions 1. Set up data processing pipelines 2. Provision databases - Deploying and implementing serverless resources 1. Deploy Cloud Run services 2. Create Cloud Functions - Deploying and implementing Compute Engine resources 1. Create managed instance groups 2. Launch virtual machines 3. Configure access and security 4. Manage images and snapshots - Deploying and implementing Google Kubernetes Engine resources 1. Configure networking for GKE 2. Create and manage clusters 3. Deploy workloads
Topic 5: Configuring access and security	17.5%	- Configuring network security 1. Manage security controls 2. Secure VPC networks 3. Configure private access - Managing data security 1. Enable encryption 2. Manage access to data - Managing IAM 1. Manage service accounts 2. Implement least privilege access 3. Define roles and permissions

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Google Associate Cloud Engineer Exam Sample Questions (Q299-Q304):

NEW QUESTION # 299
You want to deploy an application on Cloud Run that processes messages from a Cloud Pub/Sub topic. You want to follow Google-recommended practices. What should you do?

A. 1. Create a service account.2. Give the Cloud Run Invoker role to that service account for your Cloud Run application.3. Create a Cloud Pub/Sub subscription that uses that service account and uses your Cloud Run application as the push endpoint.
B. 1. Grant the Pub/Sub Subscriber role to the service account used by Cloud Run.2. Create a Cloud Pub
/Sub subscription for that topic.3. Make your application pull messages from that subscription.
C. 1. Create a Cloud Function that uses a Cloud Pub/Sub trigger on that topic.2. Call your application on Cloud Run from the Cloud Function for every message.
D. 1. Deploy your application on Cloud Run on GKE with the connectivity set to Internal.2. Create a Cloud Pub/Sub subscription for that topic.3. In the same Google Kubernetes Engine cluster as your application, deploy a container that takes the messages and sends them to your application.

Answer: A

Explanation:
https://cloud.google.com/run/docs/tutorials/pubsub#integrating-pubsub
1. Create a service account. 2. Give the Cloud Run Invoker role to that service account for your Cloud Run application. 3. Create a Cloud Pub/Sub subscription that uses that service account and uses your Cloud Run application as the push endpoint.

NEW QUESTION # 300
Your company is running a three-tier web application on virtual machines that use a MySQL database. You need to create an estimated total cost of cloud infrastructure to run this application on Google Cloud instances and Cloud SQL. What should you do?

A. Implement a similar architecture on Google Cloud, and run a reasonable load test on a smaller scale. Check the billing information, and calculate the estimated costs based on the real load your system usually handles.
B. Use the Google Cloud Pricing Calculator to determine the cost of every Google Cloud resource you expect to use.
Use similar size instances for the web server, and use your current on-premises machines as a comparison for Cloud SQL.
C. Create a Google spreadsheet with multiple Google Cloud resource combinations. On a separate sheet, import the current Google Cloud prices and use these prices for the calculations within formulas.
D. Use the Google Cloud Pricing Calculator and select the Cloud Operations template to define your web application with as much detail as possible.

Answer: B

Explanation:
The Google Cloud Pricing Calculator is a tool that allows you to estimate the cost of using Google Cloud products and services based on your specific needs and preferences. You can add various Google Cloud resources to your estimate, such as Compute Engine instances, Cloud SQL instances, network services, storage options, and more. You can also adjust the parameters of each resource, such as the region, zone, machine type, disk size, network egress, and usage hours. The Google Cloud Pricing Calculator will show you the monthly and hourly cost of each resource, as well as the total cost of your estimate. You can also save, share, or export your estimate for future reference.
To create an estimated total cost of cloud infrastructure to run your three-tier web application on Google Cloud instances and Cloud SQL, you should use the Google Cloud Pricing Calculator to determine the cost of every Google Cloud resource you expect to use. You should use similar size instances for the web server, such as n1-standard-1 or n1-standard-2, depending on your application's CPU and memory requirements. You should also use your current on-premises machines as a comparison for Cloud SQL, such as MySQL 5.7 or MySQL 8.0, depending on your database version. You should also consider the network and storage costs associated with your application, such as the network egress, persistent disk, and Cloud Storage.
The other options are not correct because they either do not use the Google Cloud Pricing Calculator, or they do not provide a reliable or accurate estimate of the cloud infrastructure cost. Option B is not correct because creating a Google spreadsheet with multiple Google Cloud resource combinations is a manual and tedious process that may not reflect the current Google Cloud prices or discounts. Option C is not correct because implementing a similar architecture on Google Cloud, and running a reasonable load test on a smaller scale, is a time-consuming and costly process that may not represent the actual load or performance of your application. Option D is not correct because using the Google Cloud Pricing Calculator and selecting the Cloud Operations template will not define your web application with as much detail as possible, as the Cloud Operations template is designed for estimating the cost of monitoring and logging services, not the compute, database, network, and storage services.
Reference:
Google Cloud Pricing Calculator
Compute Engine pricing
Cloud SQL pricing

NEW QUESTION # 301
You are building an application that stores relational data from users. Users across the globe will use this application. Your CTO is concerned about the scaling requirements because the size of the user base is unknown. You need to implement a database solution that can scale with your user growth with minimum configuration changes. Which storage solution should you use?

A. Cloud Spanner
B. Cloud SQL
C. Cloud Firestore
D. Cloud Datastore

Answer: A

Explanation:
Cloud Spanner is a relational database and is highly scalable. Cloud Spanner is a highly scalable, enterprise-grade, globally-distributed, and strongly consistent database service built for the cloud specifically to combine the benefits of relational database structure with a non-relational horizontal scale. This combination delivers high-performance transactions and strong consistency across rows, regions, and continents with an industry-leading 99.999% availability SLA, no planned downtime, and enterprise-grade security Ref: https://cloud.google.com/spanner

NEW QUESTION # 302
You want to configure 10 Compute Engine instances for availability when maintenance occurs.
Your requirements state that these instances should attempt to automatically restart if they crash.
Also, the instances should be highly available including during system maintenance. What should you do?

A. Create an instance template for the instances.
`Automatic Restart' to off. Set `On-host maintenance' to Terminate VM instances.
Add the instance template to an instance group.
B. Create an instance group for the instances.
Set the `Autohealing' health check to healthy (HTTP).
C. Create an instance group for the instance.
Verify that the `Advanced creation options' setting for `do not retry machine creation' is set to off.
D. Create an instance template for the instances.
Set the `Automatic Restart' to on. Set the `On-host maintenance' to Migrate VM instance.
Add the instance template to an intsance group.

Answer: D

Explanation:
Configure an instance's maintenance behavior and automatic restart setting using the onHostMaintenance and automaticRestart properties. All instances are configured with default values unless you explicitly specify otherwise.
onHostMaintenance: Determines the behavior when a maintenance event occurs that might cause your instance to reboot.
[Default] migrate, which causes Compute Engine to live migrate an instance when there is a maintenance event.
terminate, which terminates an instance instead of migrating it.

NEW QUESTION # 303
You're about to deploy your team's App Engine application. They're using the Go runtime with a Standard Environment. Which command should you use to deploy the application?

A. gcloud app deploy app.yaml
B. gcloud app-engine apply app.yaml
C. gcloud app-engine deploy app.yaml
D. gcloud app apply app.yaml

Answer: A

NEW QUESTION # 304
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