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

Section	Weight	Objectives
Topic 1: CI/CD Pipeline Development	26%	- CI/CD best practices 1. Implementing shift-left testing 2. Configuring quality gates and code coverage 3. Managing secrets in CI/CD pipelines - Designing and implementing CI/CD pipelines 1. Configuring build caching strategies 2. Configuring build triggers and webhooks 3. Designing pipeline architecture (Cloud Build, Jenkins, GitLab CI, etc.) 4. Setting up artifact management with Artifact Registry 5. Implementing build automation scripts - Containerization and Docker 1. Managing container registries 2. Implementing container security best practices 3. Creating optimized Docker images (multi-stage builds)
Topic 2: Reliability and Site Reliability Engineering (SRE)	24%	- Incident management 1. Configuring automated incident response 2. Implementing on-call procedures 3. Post-incident reviews and blameless postmortems - Monitoring and observability 1. Configuring Cloud Monitoring and Logging 2. Creating dashboards for service health visibility 3. Setting up alerting policies and incident management 4. Implementing distributed tracing with Cloud Trace - SLOs, SLIs, and SLAs 1. Creating and interpreting Service Level Indicators 2. Setting appropriate Service Level Agreements 3. Error budget policies and management 4. Defining and implementing Service Level Objectives
Topic 3: Microservices Architecture	14%	- API management 1. Implementing API versioning strategies 2. Exposing APIs with Cloud Endpoints / Apigee - Service mesh and networking 1. Implementing service-to-service authentication 2. Implementing Anthos Service Mesh / Istio 3. Configuring traffic management and load balancing - Container orchestration with GKE 1. Configuring node pools and auto-scaling 2. Implementing workload deployment and scaling 3. Managing pod lifecycle and resource quotas 4. Designing Kubernetes cluster architectures
Topic 4: Monitoring, Logging, and Debugging	12%	- Debugging and troubleshooting 1. Debugging with Cloud Trace distributed tracing 2. Using Cloud Debugger and Error Reporting 3. Analyzing performance profiles with Cloud Profiler - Cloud Operations Suite 1. Implementing Cloud Logging with log sinks 2. Configuring Cloud Monitoring metrics 3. Creating uptime checks and alerts - Log management 1. Implementing log-based metrics 2. Structuring logs for efficient querying 3. Configuring log retention policies
Topic 5: Cloud Infrastructure Automation	24%	- Infrastructure as Code (IaC) 1. Implementing with Terraform 2. Implementing immutable infrastructure patterns 3. Managing infrastructure modules and state - Deployment strategies 1. Canary releases and progressive rollouts 2. Feature flags with Firebase Remote Config or LaunchDarkly 3. Blue-green deployments 4. Rolling updates with Kubernetes - Configuration management 1. Using Ansible for configuration management 2. Implementing configuration drift detection 3. Managing secrets with Secret Manager

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q196-Q201):

NEW QUESTION # 196
You manage your company's primary revenue-generating application. You have an error budget policy in place that freezes production deployments when the application is close to breaching its SLO. A number of issues have recently occurred, and the application has exhausted its error budget. You need to deploy a new release to the application that includes a feature urgently required by your largest customer. You have been told that the release has passed all unit tests. What should you do?

A. Delay the deployment of the feature until the error budget is replenished.
B. Deploy the feature to a subset of users, and gradually roll out to all users if there are no errors reported.
C. Re-run the unit tests, and start the deployment of the feature if the tests pass.
D. Start the deployment of the feature immediately.

Answer: B

NEW QUESTION # 197
You are working with a government agency that requires you to archive application logs for seven years. You need to configure Stackdriver to export and store the logs while minimizing costs of storage. What should you do?

A. Create a Cloud Storage bucket and develop your application to send logs directly to the bucket.
B. Create a sink in Stackdriver, name it, create a bucket on Cloud Storage for storing archived logs, and then select the bucket as the log export destination.
C. Create an export in Stackdriver and configure Cloud Pub/Sub to store logs in permanent storage for seven years.
D. Develop an App Engine application that pulls the logs from Stackdriver and saves them in BigQuery.

Answer: B

Explanation:
Explanation
https://cloud.google.com/logging/docs/routing/overview

NEW QUESTION # 198
You support a trading application written in Python and hosted on App Engine flexible environment. You want to customize the error information being sent to Stackdriver Error Reporting. What should you do?

A. Install the Stackdriver Error Reporting library for Python, and then run your code on a Compute Engine VM.
B. Use the Stackdriver Error Reporting API to write errors from your application to ReportedErrorEvent, and then generate log entries with properly formatted error messages in Stackdriver Logging.
C. Install the Stackdriver Error Reporting library for Python, and then run your code on Google Kubernetes Engine.
D. Install the Stackdriver Error Reporting library for Python, and then run your code on App Engine flexible environment.

Answer: B

NEW QUESTION # 199
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. Delegate the responding to internal stakeholder emails to another member of the Incident Response Team.
Focus on providing responses directly to customers.
C. Provide periodic updates to all stakeholders in a timely manner. Commit to a "next update" time in all communications.
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 # 200
You are using Terraform to manage infrastructure as code within a Cl/CD pipeline You notice that multiple copies of the entire infrastructure stack exist in your Google Cloud project, and a new copy is created each time a change to the existing infrastructure is made You need to optimize your cloud spend by ensuring that only a single instance of your infrastructure stack exists at a time. You want to follow Google-recommended practices What should you do?

A. Update the pipeline to remove any existing infrastructure before you apply the latest configuration
B. Verify that the pipeline is storing and retrieving the terrafom.tfstat* file from a source control
C. Create a new pipeline to delete old infrastructure stacks when they are no longer needed
D. Confirm that the pipeline is storing and retrieving the terraform. if state file from Cloud Storage with the Terraform gcs backend

Answer: D

Explanation:
Explanation
The best option for optimizing your cloud spend by ensuring that only a single instance of your infrastructure stack exists at a time is to confirm that the pipeline is storing and retrieving the terraform.tfstate file from Cloud Storage with the Terraform gcs backend. The terraform.tfstate file is a file that Terraform uses to store the current state of your infrastructure. The Terraform gcs backend is a backend type that allows you to store the terraform.tfstate file in a Cloud Storage bucket. By using the Terraform gcs backend, you can ensure that your pipeline has access to the latest state of your infrastructure and avoid creating multiple copies of the entire infrastructure stack.

NEW QUESTION # 201
......

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