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

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

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q114-Q119):

NEW QUESTION # 114
You support a popular mobile game application deployed on Google Kubernetes Engine (GKE) across several Google Cloud regions. Each region has multiple Kubernetes clusters. You receive a report that none of the users in a specific region can connect to the application. You want to resolve the incident while following Site Reliability Engineering practices. What should you do first?

A. Reroute the user traffic from the affected region to other regions that don't report issues.
B. Add an extra node pool that consists of high memory and high CPU machine type instances to the cluster.
C. Use Stackdriver Monitoring to check for a spike in CPU or memory usage for the affected region.
D. Use Stackdriver Logging to filter on the clusters in the affected region, and inspect error messages in the logs.

Answer: A

Explanation:
Explanation
Google always aims to first stop the impact of an incident, and then find the root cause (unless the root cause just happens to be identified early on).

NEW QUESTION # 115
You support a multi-region web service running on Google Kubernetes Engine (GKE) behind a Global HTTP'S Cloud Load Balancer (CLB). For legacy reasons, user requests first go through a third-party Content Delivery Network (CDN). which then routes traffic to the CLB. You have already implemented an availability Service Level Indicator (SLI) at the CLB level. However, you want to increase coverage in case of a potential load balancer misconfiguration. CDN failure, or other global networking catastrophe. Where should you measure this new SLI?
Choose 2 answers

A. GKE health checks for your application servers
B. Your application servers' logs
C. Instrumentation coded directly in the client
D. Metrics exported from the application servers
E. A synthetic client that periodically sends simulated user requests

Answer: A,D

NEW QUESTION # 116
Your team of Infrastructure DevOps Engineers is growing, and you are starting to use Terraform to manage infrastructure. You need a way to implement code versioning and to share code with other team members.
What should you do?

A. Store the Terraform code in a Cloud Storage bucket using object versioning. Give access to the bucket to every team member so they can download the files.
B. Store the Terraform code in a shared Google Drive folder so it syncs automatically to every team member's computer. Organize files with a naming convention that identifies each new version.
C. Store the Terraform code in a version-control system. Establish procedures for pushing new versions and merging with the master.
D. Store the Terraform code in a network shared folder with child folders for each version release. Ensure that everyone works on different files.

Answer: C

Explanation:
Explanation
https://www.terraform.io/docs/cloud/guides/recommended-practices/part3.3.html

NEW QUESTION # 117
You are deploying an application that needs to access sensitive information. You need to ensure that this information is encrypted and the risk of exposure is minimal if a breach occurs. What should you do?

A. Integrate the application with a Single sign-on (SSO) system and do not expose secrets to the application
B. Store the encryption keys in Cloud Key Management Service (KMS) and rotate the keys frequently
C. Leverage a continuous build pipeline that produces multiple versions of the secret for each instance of the application.
D. Inject the secret at the time of instance creation via an encrypted configuration management system.

Answer: B

Explanation:
https://cloud.google.com/security-key-management

NEW QUESTION # 118
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 gauge and a valueType set to distribution.
* In Stackdriver's Metrics Explorer, use a Heatmap graph to visualize the metric.
B. * 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.
C. * 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.
D. * 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.

Answer: C

NEW QUESTION # 119
......

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