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

Section	Weight	Objectives
Topic 1: Cloud Infrastructure Automation	24%	- Configuration management 1. Managing secrets with Secret Manager 2. Using Ansible for configuration management 3. Implementing configuration drift detection - Infrastructure as Code (IaC) 1. Managing infrastructure modules and state 2. Implementing immutable infrastructure patterns 3. Implementing with Terraform - Deployment strategies 1. Rolling updates with Kubernetes 2. Canary releases and progressive rollouts 3. Feature flags with Firebase Remote Config or LaunchDarkly 4. Blue-green deployments
Topic 2: 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. Defining and implementing Service Level Objectives 4. Error budget policies and management - Incident management 1. Post-incident reviews and blameless postmortems 2. Configuring automated incident response 3. Implementing on-call procedures - Monitoring and observability 1. Implementing distributed tracing with Cloud Trace 2. Creating dashboards for service health visibility 3. Configuring Cloud Monitoring and Logging 4. Setting up alerting policies and incident management
Topic 3: Monitoring, Logging, and Debugging	12%	- Log management 1. Implementing log-based metrics 2. Structuring logs for efficient querying 3. Configuring log retention policies - Debugging and troubleshooting 1. Analyzing performance profiles with Cloud Profiler 2. Debugging with Cloud Trace distributed tracing 3. Using Cloud Debugger and Error Reporting - Cloud Operations Suite 1. Implementing Cloud Logging with log sinks 2. Creating uptime checks and alerts 3. Configuring Cloud Monitoring metrics
Topic 4: CI/CD Pipeline Development	26%	- Containerization and Docker 1. Implementing container security best practices 2. Creating optimized Docker images (multi-stage builds) 3. Managing container registries - 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 triggers and webhooks 2. Designing pipeline architecture (Cloud Build, Jenkins, GitLab CI, etc.) 3. Implementing build automation scripts 4. Configuring build caching strategies 5. Setting up artifact management with Artifact Registry
Topic 5: Microservices Architecture	14%	- Container orchestration with GKE 1. Implementing workload deployment and scaling 2. Configuring node pools and auto-scaling 3. Managing pod lifecycle and resource quotas 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 - 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 (Q55-Q60):

NEW QUESTION # 55
You use Cloud Build to build your application. You want to reduce the build time while minimizing cost and development effort. What should you do?

A. Use larger Cloud Build virtual machines (VMs) by using the machine-type option.
B. Use Cloud Storage to cache intermediate artifacts.
C. Use multiple smaller build steps to minimize execution time.
D. Run multiple Jenkins agents to parallelize the build.

Answer: C

NEW QUESTION # 56
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. Install the Stackdriver Error Reporting library for Python, and then run your code on App Engine flexible environment.
C. Install the Stackdriver Error Reporting library for Python, and then run your code on Google Kubernetes Engine.
D. 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.

Answer: D

Explanation:
https://cloud.google.com/error-reporting/docs/formatting-error-messages
https://cloud.google.com/error-reporting/docs/reference/libraries#client-libraries-install-python no need to install error reporting library on App Engine Flex.

NEW QUESTION # 57
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. 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.
B. 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.
C. 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.
D. 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.

Answer: A

NEW QUESTION # 58
You are performing a semiannual capacity planning exercise for your flagship service. You expect a service user growth rate of 10% month-over-month over the next six months. Your service is fully containerized and runs on Google Cloud Platform (GCP). using a Google Kubernetes Engine (GKE) Standard regional cluster on three zones with cluster autoscaler enabled. You currently consume about 30% of your total deployed CPU capacity, and you require resilience against the failure of a zone. You want to ensure that your users experience minimal negative impact as a result of this growth or as a result of zone failure, while avoiding unnecessary costs. How should you prepare to handle the predicted growth?

A. Because you are at only 30% utilization, you have significant headroom and you won't need to add any additional capacity for this rate of growth.
B. Because you are deployed on GKE and are using a cluster autoscaler. your GKE cluster will scale automatically, regardless of growth rate.
C. Verity the maximum node pool size, enable a horizontal pod autoscaler, and then perform a load test to verity your expected resource needs.
D. Proactively add 60% more node capacity to account for six months of 10% growth rate, and then perform a load test to make sure you have enough capacity.

Answer: C

Explanation:
Explanation
https://cloud.google.com/kubernetes-engine/docs/concepts/horizontalpodautoscaler The Horizontal Pod Autoscaler changes the shape of your Kubernetes workload by automatically increasing or decreasing the number of Pods in response to the workload's CPU or memory consumption

NEW QUESTION # 59
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. Decrease the acknowledgment deadline on the subscription
B. Add a virtual queue to the online store that allows typical traffic levels
C. Increase the number of Pod replicas
D. Increase the Pod CPU and memory limits

Answer: C

NEW QUESTION # 60
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