ASSOCIATE-CLOUD-ENGINEER ACCURATE PREP MATERIAL - LATEST ASSOCIATE-CLOUD-ENGINEER TEST CAMP

Associate-Cloud-Engineer Accurate Prep Material - Latest Associate-Cloud-Engineer Test Camp

Associate-Cloud-Engineer Accurate Prep Material - Latest Associate-Cloud-Engineer Test Camp

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Google Associate Cloud Engineer Exam Sample Questions (Q258-Q263):

NEW QUESTION # 258
You need to update a deployment in Deployment Manager without any resource downtime in the deployment. Which command should you use?

  • A. gcloud deployment-manager deployments update --config <deployment-config-path>
  • B. gcloud deployment-manager resources update --config <deployment-config-path>
  • C. gcloud deployment-manager resources create --config <deployment-config-path>
  • D. gcloud deployment-manager deployments create --config <deployment-config-path>

Answer: A


NEW QUESTION # 259
You have one GCP account running in your default region and zone and another account running in a non-default region and zone. You want to start a new Compute Engine instance in these two Google Cloud Platform accounts using the command line interface. What should you do?

  • A. Create two configurations using gcloud config configurations create [NAME]. Run gcloud config configurations activate [NAME] to switch between accounts when running the commands to start the Compute Engine instances.
  • B. Activate two configurations using gcloud configurations activate [NAME]. Run gcloud configurations list to start the Compute Engine instances.
  • C. Create two configurations using gcloud config configurations create [NAME]. Run gcloud configurations list to start the Compute Engine instances.
  • D. Activate two configurations using gcloud configurations activate [NAME]. Run gcloud config list to start the Compute Engine instances.

Answer: A

Explanation:
"Run gcloud configurations list to start the Compute Engine instances". How the heck are you expecting to
"start" GCE instances doing "configuration list".
Each gcloud configuration has a 1 to 1 relationship with the region (if a region is defined). Since we have two different regions, we would need to create two separate configurations using gcloud config configurations createRef: https://cloud.google.com/sdk/gcloud/reference/config/configurations/create Secondly, you can activate each configuration independently by running gcloud config configurations activate
[NAME]Ref: https://cloud.google.com/sdk/gcloud/reference/config/configurations/activate Finally, while each configuration is active, you can run the gcloud compute instances start [NAME] command to start the instance in the configurations region.https://cloud.google.com/sdk/gcloud/reference/compute/instances/start


NEW QUESTION # 260
You are building a multi-player gaming application that will store game information in a database. As the popularity of the application increases, you are concerned about delivering consistent performance. You need to ensure an optimal gaming performance for global users, without increasing the management complexity. What should you do?

  • A. Use BigQuery to store game statistics with a Redis on Memorystore instance in the front to provide global consistency.
  • B. Use Cloud Spanner to store user data mapped to the game statistics.
  • C. Store game statistics in a Bigtable database partitioned by username.
  • D. Use Cloud SQL database with cross-region replication to store game statistics in the EU, US, and APAC regions.

Answer: B


NEW QUESTION # 261
You are deploying an application to a Compute Engine VM in a managed instance group. The application must be running at all times, but only a single instance of the VM should run per GCP project. How should you configure the instance group?

  • A. Set autoscaling to Off, set the minimum number of instances to 1, and then set the maximum number of instances to 2.
  • B. Set autoscaling to On, set the minimum number of instances to 1, and then set the maximum number of instances to 2.
  • C. Set autoscaling to On, set the minimum number of instances to 1, and then set the maximum number of instances to 1.
  • D. Set autoscaling to Off, set the minimum number of instances to 1, and then set the maximum number of instances to 1.

Answer: C

Explanation:
https://cloud.google.com/compute/docs/autoscaler#specifications
Autoscaling works independently from autohealing. If you configure autohealing for your group and an instance fails the health check, the autohealer attempts to recreate the instance. Recreating an instance can cause the number of instances in the group to fall below the autoscaling threshold (minNumReplicas) that you specify.
Since we need the application running at all times, we need a minimum 1 instance.
Only a single instance of the VM should run, we need a maximum 1 instance.
We want the application running at all times. If the VM crashes due to any underlying hardware failure, we want another instance to be added to MIG so that application can continue to serve requests. We can achieve this by enabling autoscaling. The only option that satisfies these three is Set autoscaling to On, set the minimum number of instances to 1, and then set the maximum number of instances to 1.
Ref: https://cloud.google.com/compute/docs/autoscaler


NEW QUESTION # 262
Your company uses BigQuery to store and analyze data. 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

  • A. Search errors in Cloud Audit Logs to analyze the issue.
  • B. Use the information schema views to analyze the underlying issue.
  • C. Configure Cloud Trace to analyze the issue.
  • D. Use BigQuery Bl Engine to analyze the issue.
  • E. View errors in Cloud Monitoring to analyze the issue.

Answer: A,E

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 # 263
......

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