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| Section | Weight | Objectives |
|---|
| CI/CD Pipeline Development | 26% | - Designing and implementing CI/CD pipelines
- 1. Setting up artifact management with Artifact Registry
- 2. Configuring build caching strategies
- 3. Implementing build automation scripts
- 4. Configuring build triggers and webhooks
- 5. Designing pipeline architecture (Cloud Build, Jenkins, GitLab CI, etc.)
- CI/CD best practices
- 1. Configuring quality gates and code coverage
- 2. Implementing shift-left testing
- 3. Managing secrets in CI/CD pipelines
- Containerization and Docker
- 1. Creating optimized Docker images (multi-stage builds)
- 2. Managing container registries
- 3. Implementing container security best practices
|
| Reliability and Site Reliability Engineering (SRE) | 24% | - Incident management
- 1. Post-incident reviews and blameless postmortems
- 2. Configuring automated incident response
- 3. Implementing on-call procedures
- SLOs, SLIs, and SLAs
- 1. Error budget policies and management
- 2. Setting appropriate Service Level Agreements
- 3. Creating and interpreting Service Level Indicators
- 4. Defining and implementing Service Level Objectives
- Monitoring and observability
- 1. Implementing distributed tracing with Cloud Trace
- 2. Setting up alerting policies and incident management
- 3. Creating dashboards for service health visibility
- 4. Configuring Cloud Monitoring and Logging
|
| Cloud Infrastructure Automation | 24% | - Infrastructure as Code (IaC)
- 1. Implementing with Terraform
- 2. Managing infrastructure modules and state
- 3. Implementing immutable infrastructure patterns
- Configuration management
- 1. Managing secrets with Secret Manager
- 2. Using Ansible for configuration management
- 3. Implementing configuration drift detection
- Deployment strategies
- 1. Feature flags with Firebase Remote Config or LaunchDarkly
- 2. Canary releases and progressive rollouts
- 3. Blue-green deployments
- 4. Rolling updates with Kubernetes
|
| Microservices Architecture | 14% | - API management
- 1. Implementing API versioning strategies
- 2. Exposing APIs with Cloud Endpoints / Apigee
- Container orchestration with GKE
- 1. Configuring node pools and auto-scaling
- 2. Managing pod lifecycle and resource quotas
- 3. Implementing workload deployment and scaling
- 4. Designing Kubernetes cluster architectures
- Service mesh and networking
- 1. Implementing Anthos Service Mesh / Istio
- 2. Configuring traffic management and load balancing
- 3. Implementing service-to-service authentication
|
| Monitoring, Logging, and Debugging | 12% | - Log management
- 1. Configuring log retention policies
- 2. Implementing log-based metrics
- 3. Structuring logs for efficient querying
- 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. Creating uptime checks and alerts
- 2. Configuring Cloud Monitoring metrics
- 3. Implementing Cloud Logging with log sinks
|
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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q187-Q192):
NEW QUESTION # 187
Your company follows Site Reliability Engineering practices. You are the Incident Commander for a new. customer-impacting incident. You need to immediately assign two incident management roles to assist you in an effective incident response. What roles should you assign?
Choose 2 answers
- A. Customer Impact Assessor
- B. Communications Lead
- C. External Customer Communications Lead
- D. Operations Lead
- E. Engineering Lead
Answer: B,D
Explanation:
https://sre.google/workbook/incident-response/
"The main roles in incident response are the Incident Commander (IC), Communications Lead (CL), and Operations or Ops Lead (OL)."
NEW QUESTION # 188
You are running an application in a virtual machine (VM) using a custom Debian image. The image has the Stackdriver Logging agent installed. The VM has the cloud-platform scope. The application is logging information via syslog. You want to use Stackdriver Logging in the Google Cloud Platform Console to visualize the logs. You notice that syslog is not showing up in the "All logs" dropdown list of the Logs Viewer. What is the first thing you should do?
- A. Look for the agent's test log entry in the Logs Viewer.
- B. SSH to the VM and execute the following commands on your VM: ps ax I grep fluentd
- C. Verify the VM service account access scope includes the monitoring.write scope.
- D. Install the most recent version of the Stackdriver agent.
Answer: B
Explanation:
https://cloud.google.com/compute/docs/access/service-accounts#associating_a_service_account_to_an_instance
NEW QUESTION # 189
You are managing an application that exposes an HTTP endpoint without using a load balancer. The latency of the HTTP responses is important for the user experience. You want to understand what HTTP latencies all of your users are experiencing. You use Stackdriver Monitoring. What should you do?
- A. * In your application, create a metric with a metricKind set to CUMULATIVE and a valueType set to DOUBLE.* In Stackdriver's Metrics Explorer, use a Line graph to visualize the metric.
- B. * In your application, create a metric with a metricKind set to DELTA and a valueType set to DOUBLE.* In Stackdriver's Metrics Explorer, use a Slacked Bar graph to visualize the metric.
- C. * In your application, create a metric with a metricKind. set toMETRlc_KIND_UNSPECIFIEDanda valueType set to INT64.* In Stackdriver's Metrics Explorer, use a Stacked Area graph to visualize the metric.
- D. * In your application, create a metric with a metricKind set to gauge and a valueType set to distribution.* In Stackdriver's Metrics Explorer, use a Heatmap graph to visualize the metric.
Answer: D
NEW QUESTION # 190
As part of your company's initiative to shift left on security, the infoSec team is asking all teams to implement guard rails on all the Google Kubernetes Engine (GKE) clusters to only allow the deployment of trusted and approved images You need to determine how to satisfy the InfoSec teams goal of shifting left on security. What should you do?
- A. Enable Container Analysis in Artifact Registry, and check for common vulnerabilities and exposures (CVEs) in your container images
- B. Deploy Falco or Twistlock on GKE to monitor for vulnerabilities on your running Pods
- C. Configure Identity and Access Management (1AM) policies to create a least privilege model on your GKE clusters
- D. Use Binary Authorization to attest images during your CI CD pipeline
Answer: D
Explanation:
The best option for implementing guard rails on all GKE clusters to only allow the deployment of trusted and approved images is to use Binary Authorization to attest images during your CI/CD pipeline. Binary Authorization is a feature that allows you to enforce signature-based validation when deploying container images. You can use Binary Authorization to create policies that specify which images are allowed or denied in your GKE clusters. You can also use Binary Authorization to attest images during your CI/CD pipeline by using tools such as Container Analysis or third-party integrations. An attestation is a digital signature that certifies that an image meets certain criteria, such as passing vulnerability scans or code reviews. By using Binary Authorization to attest images during your CI/CD pipeline, you can ensure that only trusted and approved images are deployed to your GKE clusters.
NEW QUESTION # 191
You are the Site Reliability Engineer responsible for managing your company's data services and products.
You regularly navigate operational challenges, such as unpredictable data volume and high cost, with your company's data ingestion processes. You recently learned that a new data ingestion product will be developed in Google Cloud. You need to collaborate with the product development team to provide operational input on the new product. What should you do?
- A. When the new product is used by at least one internal customer in production, share error logs and monitoring metrics with the product development team.
- B. Deploy the prototype product in a test environment, run a load test, and share the results with the product development team.
- C. Review the design of the product with the product development team to provide feedback early in the design phase.
- D. When the initial product version passes the quality assurance phase and compliance assessments, deploy the product to a staging environment. Share error logs and performance metrics with the product development team.
Answer: C
Explanation:
Explanation
The correct answer is D. Review the design of the product with the product development team to provide feedback early in the design phase.
According to the Google Cloud DevOps best practices, a Site Reliability Engineer (SRE) should collaborate with the product development team from the beginning of the product lifecycle, not just after the product is deployed or tested. This way, the SRE can provide operational input on the product design, such as scalability, reliability, security, and cost efficiency. The SRE can also help define service level objectives (SLOs) and service level indicators (SLIs) for the product, as well as monitoring and alerting strategies. By collaborating early and often, the SRE and the product development team can ensure that the product meets the operational requirements and expectations of the customers.
NEW QUESTION # 192
......
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