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

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

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q32-Q37):

NEW QUESTION # 32
Your team has recently deployed an NGINX-based application into Google Kubernetes Engine (GKE) and has exposed it to the public via an HTTP Google Cloud Load Balancer (GCLB) ingress. You want to scale the deployment of the application's frontend using an appropriate Service Level Indicator (SLI). What should you do?

A. Configure the horizontal pod autoscaler to use the average response time from the Liveness and Readiness probes.
B. Expose the NGINX stats endpoint and configure the horizontal pod autoscaler to use the request metrics exposed by the NGINX deployment.
C. Install the Stackdriver custom metrics adapter and configure a horizontal pod autoscaler to use the number of requests provided by the GCLB.
D. Configure the vertical pod autoscaler in GKE and enable the cluster autoscaler to scale the cluster as pods expand.

Answer: C

Explanation:
https://cloud.google.com/kubernetes-engine/docs/tutorials/autoscaling-metrics

NEW QUESTION # 33
You are building an application that runs on Cloud Run The application needs to access a third-party API by using an API key You need to determine a secure way to store and use the API key in your application by following Google-recommended practices What should you do?

A. Save the API key in Cloud Key Management Service (Cloud KMS) as a key Reference the key as an environment variable in the Cloud Run application
B. Save the API key in Secret Manager as a secret key Mount the secret key under the /sys/api_key directory and decrypt the key in the Cloud Run application
C. Save the API key in Secret Manager as a secret Reference the secret as an environment variable in the Cloud Run application
D. Encrypt the API key by using Cloud Key Management Service (Cloud KMS) and pass the key to Cloud Run as an environment variable Decrypt and use the key in Cloud Run

Answer: C

Explanation:
Explanation
The best option for storing and using the API key in your application by following Google-recommended practices is to save the API key in Secret Manager as a secret and reference the secret as an environment variable in the Cloud Run application. Secret Manager is a service that allows you to store and manage sensitive data, such as API keys, passwords, and certificates, in Google Cloud. A secret is a resource that represents a logical secret, such as an API key. You can save the API key in Secret Manager as a secret and use IAM policies to control who can access it. You can also reference the secret as an environment variable in the Cloud Run application by using the ${SECRET_NAME} syntax. This way, you can securely store and use the API key in your application without exposing it in your code or configuration files.

NEW QUESTION # 34
A third-party application needs to have a service account key to work properly When you try to export the key from your cloud project you receive an error "The organization policy constraint larn.
disableServiceAccountKeyCreation is enforcedM You need to make the third-party application work while following Google-recommended security practices What should you do?

A. Remove the iam.disableServiceAccountKeyCreation policy at the organization level, and create a key.
B. Enable the default service account key. and download the key
C. Add a rule to set the iam.disableServiceAccountKeyCreation policy to off in your project and create a key.
D. Disable the service account key creation policy at the project's folder, and download the default key

Answer: C

Explanation:
The best option for making the third-party application work while following Google-recommended security practices is to add a rule to set the iam.disableServiceAccountKeyCreation policy to off in your project and create a key. The iam.disableServiceAccountKeyCreation policy is an organization policy that controls whether service account keys can be created in a project or organization. By default, this policy is set to on, which means that service account keys cannot be created. However, you can override this policy at a lower level, such as a project, by adding a rule to set it to off. This way, you can create a service account key for your project without affecting other projects or organizations. You should also follow the best practices for managing service account keys, such as rotating them regularly, storing them securely, and deleting them when they are no longer needed.

NEW QUESTION # 35
You are responsible for the reliability of a high-volume enterprise application. A large number of users report that an important subset of the application's functionality - a data intensive reporting feature - is consistently failing with an HTTP 500 error. When you investigate your application's dashboards, you notice a strong correlation between the failures and a metric that represents the size of an internal queue used for generating reports. You trace the failures to a reporting backend that is experiencing high I/O wait times. You quickly fix the issue by resizing the backend's persistent disk (PD). How you need to create an availability Service Level Indicator (SLI) for the report generation feature. How would you define it?

A. As the I/O wait times aggregated across all report generation backends
B. As the application's report generation queue size compared to a known-good threshold
C. As the reporting backend PD throughout capacity compared to a known-good threshold
D. As the proportion of report generation requests that result in a successful response

Answer: B

NEW QUESTION # 36
You are deploying an application that needs to access sensitive information. You need to ensure that this information is encrypted and the risk of exposure is minimal if a breach occurs. What should you do?

A. Inject the secret at the time of instance creation via an encrypted configuration management system.
B. Integrate the application with a Single sign-on (SSO) system and do not expose secrets to the application
C. Store the encryption keys in Cloud Key Management Service (KMS) and rotate the keys frequently
D. Leverage a continuous build pipeline that produces multiple versions of the secret for each instance of the application.

Answer: C

NEW QUESTION # 37
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