PASS GUARANTEED QUIZ 2025 GOOGLE PERFECT ASSOCIATE-CLOUD-ENGINEER LATEST LEARNING MATERIAL

Pass Guaranteed Quiz 2025 Google Perfect Associate-Cloud-Engineer Latest Learning Material

Pass Guaranteed Quiz 2025 Google Perfect Associate-Cloud-Engineer Latest Learning Material

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Google Associate Cloud Engineer Exam Sample Questions (Q51-Q56):

NEW QUESTION # 51
You've deployed a microservice called myapp1to a Google Kubernetes Engine cluster using the YAML file specified below:

You need to refactor this configuration so that the database password is not stored in plain text. You want to follow Google-recommended practices. What should you do?

  • A. Store the database password inside a ConfigMap object. Modify the YAML file to populate the DB_PASSWORD environment variable from the ConfigMap.
  • B. Store the database password in a file inside a Kubernetes persistent volume, and use a persistent volume claim to mount the volume to the container.
  • C. Store the database password inside the Docker image of the container, not in the YAML file.
  • D. Store the database password inside a Secret object. Modify the YAML file to populate the DB_PASSWORD environment variable from the Secret.

Answer: A


NEW QUESTION # 52
You recently deployed a new version of an application to App Engine and then discovered a bug in the release. You need to immediately revert to the prior version of the application. What should you do?

  • A. Run gcloud app restore.
  • B. On the App Engine Versions page of the GCP Console, route 100% of the traffic to the previous version.
  • C. On the App Engine page of the GCP Console, select the application that needs to be reverted and click Revert.
  • D. Deploy the original version as a separate application. Then go to App Engine settings and split traffic between applications so that the original version serves 100% of the requests.

Answer: B


NEW QUESTION # 53
You need to create a new billing account and then link it with an existing Google Cloud Platform project.
What should you do?

  • A. Verify that you are Project Billing Manager for the GCP project.
    Create a new billing account and link the new billing account to the existing project.
  • B. Verify that you are Project Billing Manager for the GCP project.
    Update the existing project to link it to the existing billing account.
  • C. Verify that you are Billing Administrator for the billing account.
    Update the existing project to link it to the existing billing account.
  • D. Verify that you are Billing Administrator for the billing account.
    Create a new project and link the new project to the existing billing account.

Answer: D


NEW QUESTION # 54
You are deploying an application to App Engine. You want the number of instances to scale based on request rate. You need at least 3 unoccupied instances at all times. Which scaling type should you use?

  • A. Automatic Scaling with min_idle_instances set to 3.
  • B. Basic Scaling with min_instances set to 3.
  • C. Manual Scaling with 3 instances.
  • D. Basic Scaling with max_instances set to 3.

Answer: A

Explanation:
Reference:
https://cloud.google.com/appengine/docs/standard/go/config/appref
"App Engine calculates the number of instances necessary to serve your current application traffic based on scaling settings such as target_cpu_utilization and target_throughput_utilization. Setting min_idle_instances specifies the number of instances to run in addition to this calculated number. For example, if App Engine calculates that 5 instances are necessary to serve traffic, and min_idle_instances is set to 2, App Engine will run 7 instances (5, calculated based on traffic, plus 2 additional per min_idle_instances)." Automatic scaling creates dynamic instances based on request rate, response latencies, and other application metrics. However, if you specify the number of minimum idle instances, that specified number of instances run as resident instances while any additional instances are dynamic.
Ref: https://cloud.google.com/appengine/docs/standard/python/how-instances-are-managed


NEW QUESTION # 55
You have an application that uses Cloud Spanner as a database backend to keep current state information about users. Cloud Bigtable logs all events triggered by users. You export Cloud Spanner data to Cloud Storage during daily backups. One of your analysts asks you to join data from Cloud Spanner and Cloud Bigtable for specific users. You want to complete this ad hoc request as efficiently as possible. What should you do?

  • A. Create a Cloud Dataproc cluster that runs a Spark job to extract data from Cloud Bigtable and Cloud Storage for specific users.
  • B. Create a dataflow job that copies data from Cloud Bigtable and Cloud Storage for specific users.
  • C. Create a dataflow job that copies data from Cloud Bigtable and Cloud Spanner for specific users.
  • D. Create two separate BigQuery external tables on Cloud Storage and Cloud Bigtable. Use the BigQuery console to join these tables through user fields, and apply appropriate filters.

Answer: C


NEW QUESTION # 56
......

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