Google Cloud Certified - Professional Cloud DevOps Engineer Exam exam pdf guide & Professional-Cloud-DevOps-Engineer prep sure exam

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

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

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q185-Q190):

NEW QUESTION # 185
Your applications performance in Google Cloud has degraded since the last release You suspect that downstream dependencies might be causing some requests to take longer to complete You need to investigate the issue with your application to determine the cause What should you do?

A. Configure Error Reporting in your application
B. Configure Cloud Trace in your application
C. Configure Cloud Profiler in your application
D. Configure Google Cloud Managed Service for Prometheus in your application

Answer: B

NEW QUESTION # 186
You are the on-call Site Reliability Engineer for a microservice that is deployed to a Google Kubernetes Engine (GKE) Autopilot cluster. Your company runs an online store that publishes order messages to Pub/Sub and a microservice receives these messages and updates stock information in the warehousing system. A sales event caused an increase in orders, and the stock information is not being updated quickly enough. This is causing a large number of orders to be accepted for products that are out of stock You check the metrics for the microservice and compare them to typical levels.

You need to ensure that the warehouse system accurately reflects product inventory at the time orders are placed and minimize the impact on customers What should you do?

A. Add a virtual queue to the online store that allows typical traffic levels
B. Decrease the acknowledgment deadline on the subscription
C. Increase the Pod CPU and memory limits
D. Increase the number of Pod replicas

Answer: D

Explanation:
The best option for ensuring that the warehouse system accurately reflects product inventory at the time orders are placed and minimizing the impact on customers is to increase the number of Pod replicas. Increasing the number of Pod replicas will increase the scalability and availability of your microservice, which will allow it to handle more Pub/Sub messages and update stock information faster. This way, you can reduce the backlog of undelivered messages and oldest unacknowledged message age, which are causing delays in updating product inventory. You can use Horizontal Pod Autoscaler or Cloud Monitoring metrics-based autoscaling to automatically adjust the number of Pod replicas based on load or custom metrics.

NEW QUESTION # 187
Your CTO has asked you to implement a postmortem policy on every incident for internal use. You want to define what a good postmortem is to ensure that the policy is successful at your company. What should you do?
Choose 2 answers

A. Ensure that all postmortems include the severity of the incident, how to prevent a future occurrence of the incident. and what caused the incident without naming internal system components.
B. Ensure that all postmortems include what caused the incident, identify the person or team responsible for causing the incident. and how to prevent a future occurrence of the incident.
C. Ensure that all postmortems include how the incident was resolved and what caused the incident without naming customer information.
D. Ensure that all postmortems include what caused the incident, how the incident could have been worse, and how to prevent a future occurrence of the incident.
E. Ensure that all postmortems include all incident participants in postmortem authoring and share postmortems as widely as possible,

Answer: D,E

Explanation:
The correct answers are B and E.
A good postmortem should include what caused the incident, how the incident could have been worse, and how to prevent a future occurrence of the incident1. This helps to identify the root cause of the problem, the impact of the incident, and the actions to take to mitigate or eliminate the risk of recurrence.
A good postmortem should also include all incident participants in postmortem authoring and share postmortems as widely as possible2. This helps to foster a culture of learning and collaboration, as well as to increase the visibility and accountability of the incident response process.
Answer A is incorrect because it assigns blame to a person or team, which goes against the principle of blameless postmortems2. Blameless postmortems focus on finding solutions rather than pointing fingers, and encourage honest and constructive feedback without fear of punishment.
Answer C is incorrect because it omits how the incident could have been worse, which is an important factor to consider when evaluating the severity and impact of the incident1. It also avoids naming internal system components, which makes it harder to understand the technical details and root cause of the problem.
Answer D is incorrect because it omits how to prevent a future occurrence of the incident, which is the main goal of a postmortem1. It also avoids naming customer information, which may be relevant for understanding the impact and scope of the incident.

NEW QUESTION # 188
You have an application deployed to Cloud Run. A new version of the application has recently been deployed using the canary deployment strategy. Your Site Reliability Engineering (SRE) teammate informs you that an SLO has been exceeded for this application. You need to make the application healthy as quickly as possible.
What should you do first?

A. Create a new revision using the last known good version of the application.
B. Identify the cause of the latency by using Cloud Trace.
C. Configure traffic splitting to send 100% of the traffic to the latest revision.
D. Configure traffic splitting to send 100% of the traffic to the previous revision.

Answer: D

Explanation:
When a Service Level Objective (SLO) is violated in a canary deployment, the first recommended action is to roll back traffic to the last known good version.
"If your canary deployment results in errors or latency exceeding your SLOs, adjust the traffic splitting to route all traffic to a stable revision."
- Traffic Management in Cloud Run
This mitigates user impact immediately and aligns with SRE principles of error budget management and rapid remediation.

NEW QUESTION # 189
Your company recently migrated to Google Cloud. You need to design a fast, reliable, and repeatable solution for your company to provision new projects and basic resources in Google Cloud. What should you do?

A. Write a Terraform module and save it in your source control repository. Copy and run the apply command to create the new project.
B. Write a script by using the gcloud CLI that passes the appropriate parameters from the request. Save the script in a Git repository.
C. Use the Google Cloud console to create projects.
D. Use the Terraform repositories from the Cloud Foundation Toolkit. Apply the code with appropriate parameters to create the Google Cloud project and related resources.

Answer: D

Explanation:
Explanation
Terraform is an open-source tool that allows you to define and provision infrastructure as code1. Terraform can be used to create and manage Google Cloud resources, such as projects, networks, and services2. The Cloud Foundation Toolkit is a set of open-source Terraform modules and tools that provide best practices and guidance for deploying Google Cloud infrastructure3. The Cloud Foundation Toolkit includes Terraform repositories for creating Google Cloud projects and related resources, such as IAM policies, APIs, service accounts, and billing4. By using the Terraform repositories from the Cloud Foundation Toolkit, you can design a fast, reliable, and repeatable solution for your company to provision new projects and basic resources in Google Cloud. You can also customize the Terraform code to suit your specific needs and preferences.

NEW QUESTION # 190
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