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Google Associate Cloud Engineer Exam Sample Questions (Q237-Q242):

NEW QUESTION # 237
Your team is building a website that handles votes from a large user population. The incoming votes will arrive at various rates. You want to optimize the storage and processing of the votes. What should you do?

  • A. Save the incoming votes to Firestore. Use Cloud Scheduler to trigger a Cloud Functions instance to periodically process the votes.
  • B. Save the incoming votes to a JSON file on Cloud Storage. Process the votes in a batch at the end of the day.
  • C. Use a dedicated instance to process the incoming votes. Send the votes directly to this instance.
  • D. Save the incoming votes to Pub/Sub. Use the Pub/Sub topic to trigger a Cloud Functions instance to process the votes.

Answer: D

Explanation:
Pub/Sub is a scalable and reliable messaging service that can handle large volumes of data from different sources at different rates. It allows you to decouple the producers and consumers of the data, and provides a durable and persistent storage for the messages until they are delivered. Cloud Functions is a serverless platform that can execute code in response to events, such as messages published to a Pub/Sub topic. It can scale automatically based on the load, and you only pay for the resources you use. By using Pub/Sub and Cloud Functions, you can optimize the storage and processing of the votes, as you can handle the variable rates of incoming votes, process them in real time or near real time, and avoid managing servers or VMs. References:
* Pub/Sub documentation
* Cloud Functions documentation
* Choosing a messaging service for Google Cloud


NEW QUESTION # 238
You have deployed an application on a single Compute Engine instance. The application writes logs to disk. Users start reporting errors with the application. You want to diagnose the problem. What should you do?

  • A. Navigate to Cloud Logging and view the application logs.
  • B. Connect to the instance's serial console and read the application logs.
  • C. Install and configure the Cloud Logging Agent and view the logs from Cloud Logging.
  • D. Configure a Health Check on the instance and set a Low Healthy Threshold value.

Answer: C

Explanation:
Reference:
Cloud Loging knows nothing about applications installed on the system without an agent collecting logs. Using the serial console is not a best-practice and is impractical on a large scale.
The VM images for Compute Engine and Amazon Elastic Compute Cloud (EC2) don't include the Logging agent, so you must complete these steps to install it on those instances. The agent runs under both Linux and Windows. Source: https://cloud.google.com/logging/docs/agent/logging/installation


NEW QUESTION # 239
You recently discovered that your developers are using many service account keys during their development process. While you work on a long term improvement, you need to quickly implement a process to enforce short-lived service account credentials in your company. You have the following requirements:
* All service accounts that require a key should be created in a centralized project called pj-sa.
* Service account keys should only be valid for one day.
You need a Google-recommended solution that minimizes cost. What should you do?

  • A. Implement a Cloud Run job to rotate all service account keys periodically in pj-sa. Enforce an org policy to deny service account key creation with an exception to pj-sa.
  • B. Implement a Kubernetes Cronjob to rotate all service account keys periodically. Disable attachment of service accounts to resources in all projects with an exception to pj-sa.
  • C. Enforce a DENY org policy constraint over the lifetime of service account keys for 24 hours. Disable attachment of service accounts to resources in all projects with an exception to pj-sa.
  • D. Enforce an org policy constraint allowing the lifetime of service account keys to be 24 hours. Enforce an org policy constraint denying service account key creation with an exception on pj-sa.

Answer: D

Explanation:
According to the Google Cloud documentation, you can use organization policy constraints to control the creation and expiration of service account keys. The constraints are:
* constraints/iam.allowServiceAccountKeyCreation: This constraint allows you to specify which projects or folders can create service account keys. You can set the value to true or false, or use a condition to apply the constraint to specific service accounts. By setting this constraint to false for the organization and adding an exception for the pj-sa project, you can prevent developers from creating service account keys in other projects.
* constraints/iam.serviceAccountKeyMaxLifetime: This constraint allows you to specify the maximum lifetime of service account keys. You can set the value to a duration in seconds, such as 86400 for one day. By setting this constraint to 86400 for the organization, you can ensure that all service account keys
* expire after one day.
These constraints are recommended by Google Cloud as best practices to minimize the risk of service account key misuse or compromise. They also help you reduce the cost of managing service account keys, as you do not need to implement a custom solution to rotate or delete them.
References:
* 1: Associate Cloud Engineer Certification Exam Guide | Learn - Google Cloud
* 5: Create and delete service account keys - Google Cloud
* Organization policy constraints for service accounts


NEW QUESTION # 240
You work for a retail company that has a busy online store. As you are approaching New Year, you find that your e-store is getting more and more traffic. You ensure that your web servers are behind a managed instance group. However, you notice that the web tier is frequently scaling, sometimes multiple times in an hour. You need to keep instance group from scaling up and down so rapidly. Which of the following options would help you to achieve this?

  • A. Increase the cool down period.
  • B. Reduce the number of maximum instance count.
  • C. Associate a health check with instance group.
  • D. Change the auto scaling metric to use multiple metrics instead of just one metric.

Answer: A


NEW QUESTION # 241
You are the team lead of a group of 10 developers. You provided each developer with an individual Google Cloud Project that they can use as their personal sandbox to experiment with different Google Cloud solutions.
You want to be notified if any of the developers are spending above $500 per month on their sandbox environment. What should you do?

  • A. Create a separate billing account per sandbox project and enable BigQuery billing exports. Create a Data Studio dashboard to plot the spending per billing account.
  • B. Create a single budget for all projects and configure budget alerts on this budget.
  • C. Create a single billing account for all sandbox projects and enable BigQuery billing exports. Create a Data Studio dashboard to plot the spending per project.
  • D. Create a budget per project and configure budget alerts on all of these budgets.

Answer: D


NEW QUESTION # 242
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