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

Section	Weight	Objectives
Topic 1: Applying site reliability engineering practices	18%	- Define reliability goals 1. Establish SLIs, SLOs, SLAs 2. Use error budgets to balance change and stability 3. Align reliability with business needs - Design for resilience 1. Test failure scenarios and recovery 2. Plan redundancy and fault tolerance 3. Automate remediation and self-healing - Manage incidents and outages 1. Implement improvements to prevent recurrence 2. Detect and respond to issues quickly 3. Perform postmortems and root cause analysis
Topic 2: Bootstrapping and maintaining a Google Cloud organization	20%	- Set up governance and compliance 1. Manage resource quotas and limits 2. Configure audit logging and monitoring 3. Implement organization policies - Design resource hierarchy 1. Organize resources by project/folder/application 2. Define IAM policies and access control 3. Plan shared networking and connectivity - Manage configuration and deployment 1. Automate resource provisioning 2. Enforce consistency across environments 3. Use Infrastructure as Code tools
Topic 3: Building and implementing CI/CD pipelines	25%	- Optimize and maintain pipelines 1. Handle rollbacks and versioning 2. Improve speed and reliability 3. Monitor pipeline performance - Design CI/CD pipelines 1. Plan pipelines for apps, infrastructure, ML workloads 2. Integrate artifact management 3. Support hybrid/multi-cloud deployment - Implement and secure pipelines 1. Automate build, test, and deployment stages 2. Manage pipeline secrets and credentials 3. Enforce security scanning and compliance checks
Topic 4: Optimizing performance and cost	17%	- Apply FinOps practices 1. Right-size resources and eliminate waste 2. Monitor and analyze cloud costs 3. Use spot instances and committed use discounts - Balance cost, performance, and reliability 1. Plan capacity and scaling 2. Make tradeoff decisions based on data 3. Optimize over time - Improve system performance 1. Use caching and content delivery 2. Tune applications and infrastructure 3. Optimize resource allocation
Topic 5: Implementing observability and troubleshooting	20%	- Troubleshoot complex issues 1. Trace requests end-to-end 2. Isolate problems across layers 3. Analyze performance and latency - Build monitoring and logging systems 1. Create dashboards and alerts 2. Use Cloud Monitoring, Cloud Logging, Cloud Trace 3. Collect and analyze metrics, logs, traces - Optimize observability strategy 1. Integrate observability into development 2. Reduce noise and prioritize signals 3. Scale monitoring for large environments

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q153-Q158):

NEW QUESTION # 153
Your application services run in Google Kubernetes Engine (GKE). You want to make sure that only images from your centrally-managed Google Container Registry (GCR) image registry in the altostrat-images project can be deployed to the cluster while minimizing development time. What should you do?

A. Add a tag to each image in gcr.io/altostrat-images and check that this tag is present when the image is deployed.
B. Use a Binary Authorization policy that includes the whitelist name pattern gcr.io/attostrat-images/.
C. Add logic to the deployment pipeline to check that all manifests contain only images from gcr.io/altostrat-images.
D. Create a custom builder for Cloud Build that will only push images to gcr.io/altostrat-images.

Answer: A

NEW QUESTION # 154
You are using Terraform to manage infrastructure as code within a Cl/CD pipeline You notice that multiple copies of the entire infrastructure stack exist in your Google Cloud project, and a new copy is created each time a change to the existing infrastructure is made You need to optimize your cloud spend by ensuring that only a single instance of your infrastructure stack exists at a time. You want to follow Google-recommended practices What should you do?

A. Update the pipeline to remove any existing infrastructure before you apply the latest configuration
B. Create a new pipeline to delete old infrastructure stacks when they are no longer needed
C. Verify that the pipeline is storing and retrieving the terrafom.tfstat* file from a source control
D. Confirm that the pipeline is storing and retrieving the terraform. if state file from Cloud Storage with the Terraform gcs backend

Answer: A

Explanation:
The best option for optimizing your cloud spend by ensuring that only a single instance of your infrastructure stack exists at a time is to confirm that the pipeline is storing and retrieving the terraform.tfstate file from Cloud Storage with the Terraform gcs backend. The terraform.tfstate file is a file that Terraform uses to store the current state of your infrastructure. The Terraform gcs backend is a backend type that allows you to store the terraform.tfstate file in a Cloud Storage bucket. By using the Terraform gcs backend, you can ensure that your pipeline has access to the latest state of your infrastructure and avoid creating multiple copies of the entire infrastructure stack.

NEW QUESTION # 155
Your company follows Site Reliability Engineering principles. You are writing a postmortem for an incident, triggered by a software change, that severely affected users. You want to prevent severe incidents from happening in the future. What should you do?

A. Follow up with the employees who reviewed the changes and prescribe practices they should follow in the future.
B. Design a policy that will require on-call teams to immediately call engineers and management to discuss a plan of action if an incident occurs.
C. Ensure that test cases that catch errors of this type are run successfully before new software releases.
D. Identify engineers responsible for the incident and escalate to their senior management.

Answer: A

NEW QUESTION # 156
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 Cloud Storage to cache intermediate artifacts.
B. Use multiple smaller build steps to minimize execution time.
C. Run multiple Jenkins agents to parallelize the build.
D. Use larger Cloud Build virtual machines (VMs) by using the machine-type option.

Answer: B

NEW QUESTION # 157
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 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. 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.
B. Verify the maximum node pool size, enable a horizontal pod autoscaler, and then perform a load test to verify your expected resource needs.
C. 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.
D. Because you are deployed on GKE and are using a cluster autoscaler, your GKE cluster will scale automatically regardless of growth rate.

Answer: D

NEW QUESTION # 158
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