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

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

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q160-Q165):

NEW QUESTION # 160
Your company follows Site Reliability Engineering practices. You are the person in charge of Communications for a large, ongoing incident affecting your customer-facing applications. There is still no estimated time for a resolution of the outage. You are receiving emails from internal stakeholders who want updates on the outage, as well as emails from customers who want to know what is happening. You want to efficiently provide updates to everyone affected by the outage. What should you do?

A. Focus on responding to internal stakeholders at least every 30 minutes. Commit to "next update" times.
B. Provide periodic updates to all stakeholders in a timely manner. Commit to a "next update" time in all communications.
C. Delegate the responding to internal stakeholder emails to another member of the Incident Response Team. Focus on providing responses directly to customers.
D. Provide all internal stakeholder emails to the Incident Commander, and allow them to manage internal communications. Focus on providing responses directly to customers.

Answer: B

NEW QUESTION # 161
Your company uses a CI/CD pipeline with Cloud Build and Artifact Registry to deploy container images to Google Kubernetes Engine (GKE). Images are tagged with the latest commit hash and promoted to production after successful testing in the development and pre-production environments. A recent production deployment caused the application to fail due to untested integration functionality, requiring a disruptive manual rollback.
During the rollback, you noticed many old and unused container images accumulating in Artifact Registry.
You need to improve rollout and rollback management and clean up the old container images. What should you do?

A. Deploy Cloud Service Mesh across the GKE clusters, and manually clean up Artifact Registry images.
B. Adopt Cloud Deploy for managing deployments, and schedule a Cloud Build job for container image cleanup.
C. Adopt Cloud Deploy for managing deployments, and implement an Artifact Registry cleanup policy.
D. Set up a rollback pipeline in Cloud Build, and implement an Artifact Registry cleanup policy.

Answer: C

Explanation:
Comprehensive and Detailed Explanation:
Cloud Deploy is a GCP-native managed CI/CD tool for reliable and automated releases across environments.
Artifact Registry Cleanup Policy automates image retention and deletion of old images, reducing storage costs and avoiding clutter.
Rollback and rollback policies should be handled by Cloud Deploy, not manual interventions.
#Why not other options?
A## Cloud Build jobs for cleanup are not scalable or automated compared to Artifact Registry policies.
B## Cloud Service Mesh is not related to deployment rollbacks or image cleanup.
D## Cloud Deploy provides better rollback management than a custom rollback pipeline.
#Official Reference:
Google Cloud Deploy Overview
Artifact Registry Cleanup Policy

NEW QUESTION # 162
Your company follows Site Reliability Engineering practices. You are the person in charge of Communications for a large, ongoing incident affecting your customer-facing applications. There is still no estimated time for a resolution of the outage. You are receiving emails from internal stakeholders who want updates on the outage, as well as emails from customers who want to know what is happening. You want to efficiently provide updates to everyone affected by the outage. What should you do?

A. Focus on responding to internal stakeholders at least every 30 minutes. Commit to "next update" times.
B. Provide periodic updates to all stakeholders in a timely manner. Commit to a "next update" time in all communications.
C. Delegate the responding to internal stakeholder emails to another member of the Incident Response Team. Focus on providing responses directly to customers.
D. Provide all internal stakeholder emails to the Incident Commander, and allow them to manage internal communications. Focus on providing responses directly to customers.

Answer: B

Explanation:
Explanation
When disaster strikes, the person who declares the incident typically steps into the IC role and directs the high-level state of the incident. The IC concentrates on the 3Cs and does the following: Commands and coordinates the incident response, delegating roles as needed. By default, the IC assumes all roles that have not been delegated yet. Communicates effectively. Stays in control of the incident response. Works with other responders to resolve the incident. https://sre.google/workbook/incident-response/

NEW QUESTION # 163
The new version of your containerized application has been tested and is ready to be deployed to production on Google Kubernetes Engine (GKE) You could not fully load-test the new version in your pre-production environment and you need to ensure that the application does not have performance problems after deployment Your deployment must be automated What should you do?

A. Deploy the application through a continuous delivery pipeline by using blue/green deployments Migrate traffic to the new version of the application and use Cloud Monitoring to look for performance issues
B. Deploy the application by using kubectl and use Config Connector to slowly ramp up traffic between versions. Use Cloud Monitoring to look for performance issues
C. Deploy the application through a continuous delivery pipeline by using canary deployments Use Cloud Monitoring to look for performance issues, and ramp up traffic as supported by the metrics
D. Deploy the application by using kubectl and set the spec. updatestrategy. type field to RollingUpdate Use Cloud Monitoring to look for performance issues, and run the kubectl rollback command if there are any issues.

Answer: C

Explanation:
Explanation
The best option for deploying a new version of your containerized application to production on GKE and ensuring that the application does not have performance problems after deployment is to deploy the application through a continuous delivery pipeline by using canary deployments, use Cloud Monitoring to look for performance issues, and ramp up traffic as supported by the metrics. A canary deployment is a deployment strategy that involves releasing a new version of an application to a subset of users or servers and monitoring its performance and reliability. This way, you can test the new version in the production environment with real traffic and load, and gradually increase the traffic as the metrics indicate. You can use Cloud Monitoring to collect and analyze metrics from your application and GKE cluster, such as latency, error rate, CPU utilization, and memory usage. You can also use Cloud Monitoring to set up alerts and dashboards to track the performance of your application.

NEW QUESTION # 164
You support an application running on App Engine. The application is used globally and accessed from various device types. You want to know the number of connections. You are using Stackdriver Monitoring for App Engine. What metric should you use?

A. flex/instance/connections/current
B. tcp_ssl_proxy/new_connections
C. flex/connections/current
D. tcp_ssl_proxy/open_connections

Answer: C

Explanation:
Explanation
https://cloud.google.com/monitoring/api/metrics_gcp#gcp-appengine

NEW QUESTION # 165
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