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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q117-Q122):

NEW QUESTION # 117
You are creating a CI/CD pipeline to perform Terraform deployments of Google Cloud resources Your CI/CD tooling is running in Google Kubernetes Engine (GKE) and uses an ephemeral Pod for each pipeline run You must ensure that the pipelines that run in the Pods have the appropriate Identity and Access Management (1AM) permissions to perform the Terraform deployments You want to follow Google-recommended practices for identity management What should you do?
Choose 2 answers

A. Create a new JSON service account key for the Google service account store the key as a Kubernetes secret, inject the key into the Pods, and set the boogle_application_credentials environment variable
B. Assign the appropriate 1AM permissions to the Google service account associated with the Compute Engine VM instances that run the Pods
C. Create a new Kubernetes service account, and assign the service account to the Pods Use Workload Identity to authenticate as the Google service account
D. Create a new Google service account, and assign the appropriate 1AM permissions
E. Create a new JSON service account key for the Google service account store the key in the secret management store for the CI/CD tool and configure Terraform to use this key for authentication

Answer: C,D

Explanation:
Explanation
The best options for ensuring that the pipelines that run in the Pods have the appropriate IAM permissions to perform the Terraform deployments are to create a new Kubernetes service account and assign the service account to the Pods, and to use Workload Identity to authenticate as the Google service account. A Kubernetes service account is an identity that represents an application or a process running in a Pod. A Google service account is an identity that represents a Google Cloud resource or service. Workload Identity is a feature that allows you to bind Kubernetes service accounts to Google service accounts. By using Workload Identity, you can avoid creating and managing JSON service account keys, which are less secure and require more maintenance. You can also assign the appropriate IAM permissions to the Google service account that corresponds to the Kubernetes service account.

NEW QUESTION # 118
You are investigating issues in your production application that runs on Google Kubernetes Engine (GKE). You determined that the source Of the issue is a recently updated container image, although the exact change in code was not identified. The deployment is currently pointing to the latest tag. You need to update your cluster to run a version of the container that functions as intended. What should you do?

A. Apply the latest tag to the previous container image, and do a rolling update on the deployment.
B. Build a new container from a previous Git tag, and do a rolling update on the deployment to the new container.
C. Alter the deployment to point to the sha2 56 digest of the previously working container.
D. Create a new tag called stable that points to the previously working container, and change the deployment to point to the new tag.

Answer: C

NEW QUESTION # 119
Your company experiences bugs, outages, and slowness in its production systems. Developers use the production environment for new feature development and bug fixes. Configuration and experiments are done in the production environment, causing outages for users. Testers use the production environment for load testing, which often slows the production systems. You need to redesign the environment to reduce the number of bugs and outages in production and to enable testers to load test new features. What should you do?

A. Create an automated testing script in production to detect failures as soon as they occur.
B. Create a development environment for writing code and a test environment for configurations, experiments, and load testing.
C. Create a development environment with smaller server capacity and give access only to developers and testers.
D. Secure the production environment to ensure that developers can't change it and set up one controlled update per year.

Answer: B

Explanation:
Creating a development environment for writing code and a test environment for configurations, experiments, and load testing is the best practice to reduce the number of bugs and outages in production and to enable testers to load test new features. This way, the production environment is isolated from changes that could affect its stability and performance.

NEW QUESTION # 120
Your team is designing a new application for deployment both inside and outside Google Cloud Platform (GCP). You need to collect detailed metrics such as system resource utilization. You want to use centralized GCP services while minimizing the amount of work required to set up this collection system. What should you do?

A. Import the Stackdriver Profiler package, and configure it to relay function timing data to Stackdriver for further analysis.
B. Install an Application Performance Monitoring (APM) tool in both locations, and configure an export to a central data storage location for analysis.
C. Import the Stackdriver Debugger package, and configure the application to emit debug messages with timing information.
D. Instrument the code using a timing library, and publish the metrics via a health check endpoint that is scraped by Stackdriver.

Answer: C

NEW QUESTION # 121
You use Spinnaker to deploy your application and have created a canary deployment stage in the pipeline. Your application has an in-memory cache that loads objects at start time. You want to automate the comparison of the canary version against the production version. How should you configure the canary analysis?

A. Compare the canary with a new deployment of the current production version.
B. Compare the canary with the existing deployment of the current production version.
C. Compare the canary with a new deployment of the previous production version.
D. Compare the canary with the average performance of a sliding window of previous production versions.

Answer: A

Explanation:
https://cloud.google.com/architecture/automated-canary-analysis-kubernetes-engine-spinnaker
https://spinnaker.io/guides/user/canary/best-practices/#compare-canary-against-baseline-not-against-production

NEW QUESTION # 122
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