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Google Associate-Cloud-Engineer Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Planning and configuring a cloud solution	25%	- Configuring compute resources - Configuring storage and database solutions
Topic 2: Deploying and implementing a cloud solution	20%	- Implementing networking components - Deploying applications and services
Topic 3: Setting up a cloud solution environment	20%	- Managing billing and identity access - Setting up cloud projects and accounts
Topic 4: Configuring access and security	15%	- Securing data and services - Managing IAM roles and permissions
Topic 5: Ensuring successful operation of a cloud solution	20%	- Managing cloud resources - Monitoring and logging

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Google Associate Cloud Engineer Exam Sample Questions (Q281-Q286):

NEW QUESTION # 281
You manage three Google Cloud projects with the Cloud Monitoring API enabled. You want to follow Google-recommended practices to visualize CPU and network metrics for all three projects together. What should you do?

A. 1. Create a fourth Google Cloud project
2 Create a Cloud Workspace from the fourth project and add the other three projects
B. 1. Create a Cloud Monitoring Dashboard
2. Collect metrics and publish them into the Pub/Sub topics 3. Add CPU and network Charts (or each of (he three projects
C. 1 Create a Service Account and apply roles/viewer on the three projects
2. Collect metrics and publish them lo the Cloud Monitoring API
3. Add CPU and network Charts for each of the three projects.
D. 1. Create a Cloud Monitoring Dashboard.
2. Select the CPU and Network metrics from the three projects.
3. Add CPU and network Charts lot each of the three protects.

Answer: D

NEW QUESTION # 282
You have a Compute Engine instance hosting an application used between 9 AM and 6 PM on weekdays. You want to back up this instance daily for disaster recovery purposes. You want to keep the backups for 30 days.
You want the Google-recommended solution with the least management overhead and the least number of services. What should you do?

A. 1. Create a Cloud Function that creates a snapshot of your instance's disk.
2.Create a Cloud Function that deletes snapshots that are older than 30 days.
3.Use Cloud Scheduler to trigger both Cloud Functions daily at 1:00 AM.
B. 1. In the Cloud Console, go to the Compute Engine Disks page and select your instance's disk.
2. In the Snapshot Schedule section, select Create Schedule and configure the following parameters:
-Schedule frequency: Daily
-Start time: 1:00 AM - 2:00 AM
-Autodelete snapshots after 30 days
C. 1. Create a bash script in the instance that copies the content of the disk to Cloud Storage.
2.Create a bash script in the instance that deletes data older than 30 days in the backup Cloud Storage bucket.
3.Configure the instance's crontab to execute these scripts daily at 1:00 AM.
D. 1. Update your instances' metadata to add the following value: snapshot-schedule: 0 1 * * *
2. Update your instances' metadata to add the following value: snapshot-retention: 30

Answer: B

NEW QUESTION # 283
You are developing a financial trading application that will be used globally. Data is stored and queried using a relational structure, and clients from all over the world should get the exact identical state of the dat a. The application will be deployed in multiple regions to provide the lowest latency to end users. You need to select a storage option for the application data while minimizing latency. What should you do?

A. Use Cloud Spanner for data storage.
B. Use Firestore for data storage.
C. Use Cloud Bigtable for data storage.
D. Use Cloud SQL for data storage.

Answer: A

Explanation:
Keywords, Financial data (large data) used globally, data stored and queried using relational structure (SQL), clients should get exact identical copies(Strong Consistency), Multiple region, low latency to end user, select storage option to minimize latency.

NEW QUESTION # 284
You are developing an application that will be deployed on Google Cloud. The application will use a service account to retrieve data from BigQuery. Before you deploy your application, you want to test the permissions of this service account from your local machine to ensure there will be no authentication issues. You want to ensure that you use the most secure method while following Google-recommended practices. What should you do?

A. Configure the gcloud CLI to use service account impersonation. Issue a relevant BigQuery request through the gcloud CLI to test the access.
B. Generate a service account key, and configure the gcloud CLI to use this key. Issue a relevant BigQuery request through the gdoud CLI to test the access.
C. Configure the gcloud CLI with Application Default Credentials using your user account. Issue a relevant BigQuery request through the gcloud CLI to test the access.
D. Grant the service account the BigQuery Administrator IAM role to ensure the service account has all required access.

Answer: A

Explanation:
Configuring the gcloud CLI to use service account impersonation is the most secure method. It allows you to test the permissions of the service account without creating and managing a service account key. This approach follows Google-recommended best practices because it avoids the security risks associated with long-lived keys and ensures that you're verifying the exact permissions that the service account will have when the application is deployed.

NEW QUESTION # 285
Your company has multiple projects linked to a single billing account in Google Cloud. You need to visualize the costs with specific metrics that should be dynamically calculated based on company-specific criteria. You want to automate the process. What should you do?

A. In the Google Cloud console, visualize the costs related to the projects in the Cost breakdown section.
B. Configure Cloud Billing data export to BigQuery for the billing account. Create a Looker Studio dashboard on top of the BigQuery export.
C. In the Google Cloud console, use the export functionality of the Cost table. Create a Looker Studio dashboard on top of the CSV export.
D. In the Google Cloud console, visualize the costs related to the projects in the Reports section.

Answer: B

Explanation:
Cloud Billing export to BigQuery enables you to export detailed Google Cloud billing data (such as usage, cost estimates, and pricing data) automatically throughout the day to a BigQuery dataset that you specify. Then you can access your Cloud Billing data from BigQuery for detailed analysis, or use a tool like Looker Studio to visualize your data.
https://cloud.google.com/billing/docs/how-to/export-data-bigquery

NEW QUESTION # 286
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