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Google Associate-Cloud-Engineer Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Planning and configuring a cloud solution17.5%- Planning and configuring compute resources
  • 1. Plan data storage solutions
  • 2. Select compute options
  • 3. Plan instance configuration
  • 4. Choose storage options
- Planning and configuring storage resources
  • 1. Plan data durability and availability
  • 2. Select storage classes
- Planning and configuring network resources
  • 1. Design VPC networks
  • 2. Plan firewall rules
  • 3. Plan hybrid connectivity
  • 4. Choose load balancing options
Topic 2: Deploying and implementing a cloud solution25%- Deploying and implementing Google Kubernetes Engine resources
  • 1. Configure networking for GKE
  • 2. Create and manage clusters
  • 3. Deploy workloads
- 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. Configure access and security
  • 2. Launch virtual machines
  • 3. Create managed instance groups
  • 4. Manage images and snapshots
Topic 3: Configuring access and security17.5%- Managing data security
  • 1. Enable encryption
  • 2. Manage access to data
- Managing IAM
  • 1. Implement least privilege access
  • 2. Define roles and permissions
  • 3. Manage service accounts
- Configuring network security
  • 1. Secure VPC networks
  • 2. Configure private access
  • 3. Manage security controls
Topic 4: Ensuring successful operation of a cloud solution20%- Managing cost and performance
  • 1. Analyze cost reports
  • 2. Optimize resource usage
- Monitoring and logging
  • 1. Use Cloud Logging
  • 2. Set up alerts
  • 3. Use Cloud Monitoring
- Managing resources
  • 1. Update configurations
  • 2. Troubleshoot common issues
  • 3. Scale resources
Topic 5: Setting up a cloud solution environment20%- Setting up cloud projects and accounts
  • 1. Enable APIs
  • 2. Apply organizational policies
  • 3. Manage IAM roles and permissions
  • 4. Manage quotas and limits
  • 5. Manage users and groups
  • 6. Create resource hierarchy
- Managing billing configuration
  • 1. Configure billing exports
  • 2. Create and manage billing accounts
  • 3. Set budgets and alerts
  • 4. Link projects to billing accounts

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Google Associate Cloud Engineer Exam Sample Questions (Q184-Q189):

NEW QUESTION # 184
A colleague handed over a Google Cloud Platform project for you to maintain. As part of a security checkup, you want to review who has been granted the Project Owner role. What should you do?

Answer: A


NEW QUESTION # 185
Your company uses BigQuery to store and analyze dat
a. Upon submitting your query in BigQuery, the query fails with a quotaExceeded error. You need to diagnose the issue causing the error. What should you do?
Choose 2 answers

Answer: B,D

Explanation:
When encountering a quotaExceeded error in BigQuery, you should follow these steps to diagnose and mitigate the issue:
Understand the Error:
The error message indicates that a quota was exceeded (either a short-term rate limit or a longer-term limit).
The response payload contains information about which quota was reached.
Quotas can fall into two categories:
rateLimitExceeded: Short-term limits. Retry the operation after a few seconds using exponential backoff.
quotaExceeded: Longer-term limits. Wait 10 minutes or longer before retrying the operation.
Search Errors in Cloud Audit Logs (Option A):
Cloud Audit Logs provide detailed information about API requests and responses.
By searching the logs, you can identify the specific API call that triggered the quotaExceeded error.
This helps you understand which resource or operation exceeded the quota.
View Errors in Cloud Monitoring (Option C):
Cloud Monitoring (formerly known as Stackdriver) provides insights into your Google Cloud resources.
Check the monitoring dashboard for any alerts related to BigQuery quotas.
You can set up custom monitoring rules to track specific quotas and receive notifications.
Other Options:
B . Configure Cloud Trace: Cloud Trace is used for performance analysis and latency tracking. It's not directly related to quota issues.
D . Use Information Schema Views: Information schema views provide metadata about your datasets and tables but won't help diagnose quota errors.
E . Use BigQuery Bl Engine: There is no such tool called "BigQuery Bl Engine." This option is invalid.
Remember that some quotas replenish incrementally over a 24-hour period, so you don't always need to wait a full 24 hours after reaching the limit. If you consistently hit longer-term quotas, consider workload optimization or requesting a quota increase


NEW QUESTION # 186
You want to send and consume Cloud Pub/Sub messages from your App Engine application. The Cloud Pub
/Sub API is currently disabled. You will use a service account to authenticate your application to the API.
You want to make sure your application can use Cloud Pub/Sub. What should you do?

Answer: D

Explanation:
Quickstart: using the Google Cloud Console
This page shows you how to perform basic tasks in Pub/Sub using the Google Cloud Console.
Note: If you are new to Pub/Sub, we recommend that you start with the interactive tutorial.
Before you begin
Set up a Cloud Console project.
Set up a project
Click to:
Create or select a project.
Enable the Pub/Sub API for that project.
You can view and manage these resources at any time in the Cloud Console.
Install and initialize the Cloud SDK.
Note: You can run the gcloud tool in the Cloud Console without installing the Cloud SDK. To run the gcloud tool in the Cloud Console, use Cloud Shell .
https://cloud.google.com/pubsub/docs/quickstart-console


NEW QUESTION # 187
You are hosting an application from Compute Engine virtual machines (VMs) in us-central1-a. You want to adjust your design to support the failure of a single Compute Engine zone, eliminate downtime, and minimize cost. What should you do?

Answer: B

Explanation:
Reference:
https://github.com/GoogleCloudPlatform/puppet-google-compute


NEW QUESTION # 188
You need to manage multiple Google Cloud Platform (GCP) projects in the fewest steps possible. You want to configure the Google Cloud SDK command line interface (CLI) so that you can easily manage multiple GCP projects. What should you?

Answer: A


NEW QUESTION # 189
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