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

Section	Weight	Objectives
Topic 1: CI/CD Pipeline Development	26%	- Containerization and Docker 1. Creating optimized Docker images (multi-stage builds) 2. Managing container registries 3. Implementing container security best practices - CI/CD best practices 1. Configuring quality gates and code coverage 2. Implementing shift-left testing 3. Managing secrets in CI/CD pipelines - Designing and implementing CI/CD pipelines 1. Setting up artifact management with Artifact Registry 2. Configuring build triggers and webhooks 3. Configuring build caching strategies 4. Implementing build automation scripts 5. Designing pipeline architecture (Cloud Build, Jenkins, GitLab CI, etc.)
Topic 2: Cloud Infrastructure Automation	24%	- Deployment strategies 1. Canary releases and progressive rollouts 2. Feature flags with Firebase Remote Config or LaunchDarkly 3. Rolling updates with Kubernetes 4. Blue-green deployments - Configuration management 1. Using Ansible for configuration management 2. Implementing configuration drift detection 3. Managing secrets with Secret Manager - Infrastructure as Code (IaC) 1. Implementing immutable infrastructure patterns 2. Implementing with Terraform 3. Managing infrastructure modules and state
Topic 3: Reliability and Site Reliability Engineering (SRE)	24%	- Monitoring and observability 1. Configuring Cloud Monitoring and Logging 2. Creating dashboards for service health visibility 3. Implementing distributed tracing with Cloud Trace 4. Setting up alerting policies and incident management - Incident management 1. Implementing on-call procedures 2. Configuring automated incident response 3. Post-incident reviews and blameless postmortems - SLOs, SLIs, and SLAs 1. Defining and implementing Service Level Objectives 2. Setting appropriate Service Level Agreements 3. Creating and interpreting Service Level Indicators 4. Error budget policies and management
Topic 4: Microservices Architecture	14%	- Service mesh and networking 1. Configuring traffic management and load balancing 2. Implementing Anthos Service Mesh / Istio 3. Implementing service-to-service authentication - Container orchestration with GKE 1. Managing pod lifecycle and resource quotas 2. Configuring node pools and auto-scaling 3. Designing Kubernetes cluster architectures 4. Implementing workload deployment and scaling - API management 1. Exposing APIs with Cloud Endpoints / Apigee 2. Implementing API versioning strategies
Topic 5: Monitoring, Logging, and Debugging	12%	- Log management 1. Structuring logs for efficient querying 2. Implementing log-based metrics 3. Configuring log retention policies - 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 (Q84-Q89):

NEW QUESTION # 84
You have a pool of application servers running on Compute Engine. You need to provide a secure solution that requires the least amount of configuration and allows developers to easily access application logs for troubleshooting. How would you implement the solution on GCP?

A. * Deploy the Stackdriver monitoring agent to the application servers.
* Give the developers the IAM Monitoring Viewer role to access Stackdriver and view metrics.
B. * Install the gsutil command line tool on your application servers.
* Write a script using gsutil to upload your application log to a Cloud Storage bucket, and then schedule it to run via cron every 5 minutes.
* Give the developers the IAM Object Viewer access to view the logs in the specified bucket.
C. * Deploy the Stackdriver logging agent to the application servers.
* Give the developers the IAM Logs Private Logs Viewer role to access Stackdriver and view logs.
D. * Deploy the Stackdriver logging agent to the application servers.
* Give the developers the IAM Logs Viewer role to access Stackdriver and view logs.

Answer: C

NEW QUESTION # 85
Your team uses Cloud Build for all CI/CO pipelines. You want to use the kubectl builder for Cloud Build to deploy new images to Google Kubernetes Engine (GKE). You need to authenticate to GKE while minimizing development effort. What should you do?

A. Create a new service account with the Container Developer role and use it to run Cloud Build.
B. Create a separate step in Cloud Build to retrieve service account credentials and pass these to kubectl.
C. Assign the Container Developer role to the Cloud Build service account.
D. Specify the Container Developer role for Cloud Build in the cloudbuild.yaml file.

Answer: C

Explanation:
https://cloud.google.com/build/docs/deploying-builds/deploy-gke
https://cloud.google.com/build/docs/securing-builds/configure-user-specified-service-accounts

NEW QUESTION # 86
You are performing a semi-annual capacity planning exercise for your flagship service You expect a service user growth rate of 10% month-over-month for the next six months Your service is fully containerized and runs on a Google Kubemetes Engine (GKE) standard cluster across three zones with cluster autoscaling 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 o' as a result of zone failure while you avoid unnecessary costs How should you prepare to handle the predicted growth?

A. Verify the maximum node pool size enable a Horizontal Pod Autoscaler and then perform a load lest to verify your expected resource needs
B. Because you are only using 30% of deployed CPU capacity there is significant headroom and you do not need to add any additional capacity for this rate of growth
C. Because you deployed the service on GKE and are using a cluster autoscaler your GKE cluster will scale automatically regardless of growth rate
D. Proactively add 80% more node capacity to account for six months of 10% growth rate and then perform a load test to ensure that you have enough capacity

Answer: A

Explanation:
Explanation
The best option for preparing to handle the predicted growth is to verify the maximum node pool size, enable a Horizontal Pod Autoscaler, and then perform a load test to verify your expected resource needs. The maximum node pool size is a parameter that specifies the maximum number of nodes that can be added to a node pool by the cluster autoscaler. You should verify that the maximum node pool size is sufficient to accommodate your expected growth rate and avoid hitting any quota limits. The Horizontal Pod Autoscaler is a feature that automatically adjusts the number of Pods in a deployment or replica set based on observed CPU utilization or custom metrics. You should enable a Horizontal Pod Autoscaler for your application to ensure that it runs enough Pods to handle the load. A load test is a test that simulates high user traffic and measures the performance and reliability of your application. You should perform a load test to verify your expected resource needs and identify any bottlenecks or issues.

NEW QUESTION # 87
Your company follows Site Reliability Engineering practices. You are the person in charge of Communications for a large, ongoing incident affecting your customer-facing applications. There is still no estimated time for a resolution of the outage. You are receiving emails from internal stakeholders who want updates on the outage, as well as emails from customers who want to know what is happening. You want to efficiently provide updates to everyone affected by the outage. What should you do?

A. Provide periodic updates to all stakeholders in a timely manner. Commit to a "next update" time in all communications.
B. Provide all internal stakeholder emails to the Incident Commander, and allow them to manage internal communications. Focus on providing responses directly to customers.
C. Focus on responding to internal stakeholders at least every 30 minutes. Commit to "next update" times.
D. Delegate the responding to internal stakeholder emails to another member of the Incident Response Team.
Focus on providing responses directly to customers.

Answer: D

NEW QUESTION # 88
You want to share a Cloud Monitoring custom dashboard with a partner team What should you do?

A. Copy the Monitoring Query Language (MQL) query from the dashboard; and send the MQL query to the partner team
B. Export the metrics to BigQuery Use Looker Studio to create a dashboard, and share the dashboard with the partner team
C. Provide the partner team with the dashboard URL to enable the partner team to create a copy of the dashboard
D. Download the JSON definition of the dashboard, and send the JSON file to the partner team

Answer: C

Explanation:
Explanation
The best option for sharing a Cloud Monitoring custom dashboard with a partner team is to provide the partner team with the dashboard URL to enable the partner team to create a copy of the dashboard. A Cloud Monitoring custom dashboard is a dashboard that allows you to create and customize charts and widgets to display metrics, logs, and traces from your Google Cloud resources and applications. You can share a custom dashboard with a partner team by providing them with the dashboard URL, which is a link that allows them to view the dashboard in their browser. The partner team can then create a copy of the dashboard in their own project by using the Copy Dashboard option. This way, they can access and modify the dashboard without affecting the original one.

NEW QUESTION # 89
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