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Google Professional-Cloud-DevOps-Engineer Exam Syllabus Topics:

Section	Objectives
Implement site reliability engineering (SRE) practices	- Incident management and postmortems 1. Alerting and on-call practices - Define and manage SLI, SLO, and SLA 1. Error budgets and monitoring strategies
Develop and implement CI/CD pipelines	- Build and manage CI/CD pipelines using Google Cloud tools 1. Cloud Build pipeline design 2. Artifact repository management - Automate build, test, and deployment processes 1. Release management practices 2. Deployment automation strategies
Implement security and compliance	- Secure CI/CD pipelines 1. Secret and credential management 2. IAM and least privilege access - Compliance and governance 1. Audit logging and policy enforcement
Optimize performance and continuous delivery	- Monitoring and observability 1. Cloud Monitoring and Logging 2. Performance tuning and feedback loops - System performance optimization 1. Scaling strategies and load handling

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q42-Q47):

NEW QUESTION # 42
You are managing the production deployment to a set of Google Kubernetes Engine (GKE) clusters. You want to make sure only images which are successfully built by your trusted CI/CD pipeline are deployed to production. What should you do?

A. Set up the Kubernetes Engine clusters as private clusters.
B. Enable Cloud Security Scanner on the clusters.
C. Set up the Kubernetes Engine clusters with Binary Authorization.
D. Enable Vulnerability Analysis on the Container Registry.

Answer: D

NEW QUESTION # 43
You support an application running on GCP and want to configure SMS notifications to your team for the most critical alerts in Stackdriver Monitoring. You have already identified the alerting policies you want to configure this for. What should you do?

A. Configure a Slack notification for each alerting policy. Set up a Slack-to-SMS integration to send SMS messages when Slack messages are received. Ensure that your team members add their SMS/phone numbers to the external integration.
B. Download and configure a third-party integration between Stackdriver Monitoring and an SMS gateway. Ensure that your team members add their SMS/phone numbers to the external tool.
C. Ensure that your team members set their SMS/phone numbers in their Stackdriver Profile. Select the SMS notification option for each alerting policy and then select the appropriate SMS/phone numbers from the list.
D. Select the Webhook notifications option for each alerting policy, and configure it to use a third-party integration tool. Ensure that your team members add their SMS/phone numbers to the external tool.

Answer: A

NEW QUESTION # 44
You recently migrated an ecommerce application to Google Cloud. You now need to prepare the application for the upcoming peak traffic season. You want to follow Google-recommended practices. What should you do first to prepare for the busy season?

A. Migrate the application to Cloud Run, and use autoscaling.
B. Create a Terraform configuration for the application's underlying infrastructure to quickly deploy to additional regions.
C. Pre-provision the additional compute power that was used last season, and expect growth.
D. Load test the application to profile its performance for scaling.

Answer: D

Explanation:
The first thing you should do to prepare your ecommerce application for the upcoming peak traffic season is to load test the application to profile its performance for scaling. Load testing is a process of simulating high traffic or user demand on your application and measuring how it responds. Load testing can help you identify any bottlenecks, errors, or performance issues that might affect your application during the busy season1. Load testing can also help you determine the optimal scaling strategy for your application, such as horizontal scaling (adding more instances) or vertical scaling (adding more resources to each instance)2.
There are different tools and methods for load testing your ecommerce application on Google Cloud, depending on the type and complexity of your application. For example, you can use Cloud Load Balancing to distribute traffic across multiple instances of your application, and use Cloud Monitoring to measure the latency, throughput, and error rate of your application3. You can also use Cloud Functions or Cloud Run to create serverless load generators that can simulate user requests and send them to your application4. Alternatively, you can use third-party tools such as Apache JMeter or Locust to create and run load tests on your application.
By load testing your ecommerce application before the peak traffic season, you can ensure that your application is ready to handle the expected load and provide a good user experience. You can also use the results of your load tests to plan and implement other steps to prepare your application for the busy season, such as migrating to a more scalable platform, creating a Terraform configuration for deploying to additional regions, or pre-provisioning additional compute power.
Reference:
1: Load Testing 101: How To Test Website Performance | BlazeMeter
2: Scaling applications | Google Cloud
3: Load testing using Google Cloud | Solutions | Google Cloud
4: Serverless load testing using Cloud Functions | Solutions | Google Cloud

NEW QUESTION # 45
You deploy a new release of an internal application during a weekend maintenance window when there is minimal user traffic. After the window ends, you learn that one of the new features isn't working as expected in the production environment. After an extended outage, you roll back the new release and deploy a fix. You want to modify your release process to reduce the mean time to recovery so you can avoid extended outages in the future. What should you do?
Choose 2 answers

A. Require developers to run automated integration tests on their local development environments before release.
B. Adopt the blue/green deployment strategy when releasing new code via a CD server.
C. Before merging new code, require 2 different peers to review the code changes.
D. Configure a CI server. Add a suite of unit tests to your code and have your CI server run them on commit and verify any changes.
E. Integrate a code linting tool to validate coding standards before any code is accepted into the repository.

Answer: B,D

NEW QUESTION # 46
You are deploying an application to Cloud Run. The application requires a password to start. Your organization requires that all passwords are rotated every 24 hours, and your application must have the latest password. You need to deploy the application with no downtime. What should you do?

A. Store the password in Secret Manager and send the secret to the application by using environment variables.
B. Store the password in Secret Manager and mount the secret as a volume within the application.
C. Store the password directly in the code. Use Cloud Build to rebuild and deploy the application each time the password changes.
D. Use Cloud Build to add your password into the application container at build time. Ensure that Artifact Registry is secured from public access.

Answer: B

NEW QUESTION # 47
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