Professional-Cloud-DevOps-Engineer専門トレーリング & Professional-Cloud-DevOps-Engineer専門知識訓練

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

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

>> Professional-Cloud-DevOps-Engineer専門トレーリング <<

素晴らしいProfessional-Cloud-DevOps-Engineer専門トレーリング & 合格スムーズProfessional-Cloud-DevOps-Engineer専門知識訓練 | 便利なProfessional-Cloud-DevOps-Engineer技術問題 Google Cloud Certified - Professional Cloud DevOps Engineer Exam

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam 認定 Professional-Cloud-DevOps-Engineer 試験問題 (Q124-Q129):

質問 # 124
Your team is designing a new application for deployment both inside and outside Google Cloud Platform (GCP). You need to collect detailed metrics such as system resource utilization. You want to use centralized GCP services while minimizing the amount of work required to set up this collection system. What should you do?

A. Install an Application Performance Monitoring (APM) tool in both locations, and configure an export to a central data storage location for analysis.
B. Instrument the code using a timing library, and publish the metrics via a health check endpoint that is scraped by Stackdriver.
C. Import the Stackdriver Debugger package, and configure the application to emit debug messages with timing information.
D. Import the Stackdriver Profiler package, and configure it to relay function timing data to Stackdriver for further analysis.

正解：A

質問 # 125
You support a web application that runs on App Engine and uses CloudSQL and Cloud Storage for data storage. After a short spike in website traffic, you notice a big increase in latency for all user requests, increase in CPU use, and the number of processes running the application. Initial troubleshooting reveals:
After the initial spike in traffic, load levels returned to normal but users still experience high latency.
Requests for content from the CloudSQL database and images from Cloud Storage show the same high latency.
No changes were made to the website around the time the latency increased.
There is no increase in the number of errors to the users.
You expect another spike in website traffic in the coming days and want to make sure users don't experience latency. What should you do?

A. Move the application from App Engine to Compute Engine.
B. Upgrade the GCS buckets to Multi-Regional.
C. Modify the App Engine configuration to have additional idle instances.
D. Enable high availability on the CloudSQL instances.

正解：D

質問 # 126
Your company wants to implement a CD pipeline in Cloud Deploy for a web service deployed to GKE. The web service currently does not have any automated testing. The Quality Assurance team must manually verify any new releases of the web service before any production traffic is processed. You need to design the CD pipeline. What should you do?

A. Create a single pipeline stage, and use a standard deployment strategy.
B. Create a single pipeline stage, and use a canary deployment strategy.
C. Create two pipeline stages, and use a canary deployment strategy.
D. Create two pipeline stages, and use a standard deployment strategy.

正解：D

解説：
To allow manual QA approval, you need separate pipeline stages (e.g., staging # production) and manual promotion between them.
"Cloud Deploy supports multi-stage pipelines where you can manually approve releases before promotion."
- Cloud Deploy Promotion
"Use a standard strategy when there are no automated tests or SLOs to support rollback decisions."
- Deployment Strategies
Canary is best used when automated health checks and metrics exist, which is not the case here.

質問 # 127
You are ready to deploy a new feature of a web-based application to production. You want to use Google Kubernetes Engine (GKE) to perform a phased rollout to half of the web server pods.
What should you do?

A. Use Node taints with NoExecute.
B. Use a partitioned rolling update.
C. Use a stateful set with parallel pod management policy.
D. Use a replica set in the deployment specification.

正解：B

質問 # 128
Your development team has created a new version of their service's API. You need to deploy the new versions of the API with the least disruption to third-party developers and end users of third-party installed applications. What should you do?

A. Announce deprecation of the old version of the API.
Contact remaining users on the old API.
Introduce the new version of the API.
Deprecate the old version of the API.
Provide best effort support to users of the old API.
Turn down the old version of the API.
B. Introduce the new version of the API.
Contact remaining users of the old API.
Announce deprecation of the old version of the API.
Deprecate the old version of the API.
Turn down the old version of the API.
Provide best effort support to users of the old API.
C. Announce deprecation of the old version of the API.
Introduce the new version of the API.
Contact remaining users on the old API.
Deprecate the old version of the API.
Turn down the old version of the API.
Provide best effort support to users of the old API.
D. Introduce the new version of the API.
Announce deprecation of the old version of the API.
Deprecate the old version of the API.
Contact remaining users of the old API.
Provide best effort support to users of the old API.
Turn down the old version of the API.

正解：C

質問 # 129
......

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Professional-Cloud-DevOps-Engineer専門知識訓練: https://www.jpexam.com/Professional-Cloud-DevOps-Engineer_exam.html

P.S.JpexamがGoogle Driveで共有している無料の2026 Google Professional-Cloud-DevOps-Engineerダンプ：https://drive.google.com/open?id=1wSeUioocalvWYBYXBllzIsQ1nDsxnkRf