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| Section | Objectives |
|---|
| Topic 1: Develop and implement CI/CD pipelines | - Automate build, test, and deployment processes
- 1. Release management practices
- 2. Deployment automation strategies
- Build and manage CI/CD pipelines using Google Cloud tools
- 1. Cloud Build pipeline design
- 2. Artifact repository management
|
| Topic 2: Optimize performance and continuous delivery | - System performance optimization
- 1. Scaling strategies and load handling
- Monitoring and observability
- 1. Performance tuning and feedback loops
- 2. Cloud Monitoring and Logging
|
| Topic 3: Implement security and compliance | - Secure CI/CD pipelines
- 1. Secret and credential management
- 2. IAM and least privilege access
- Compliance and governance
- 1. Audit logging and policy enforcement
|
| Topic 4: Implement site reliability engineering (SRE) practices | - Define and manage SLI, SLO, and SLA
- 1. Error budgets and monitoring strategies
- Incident management and postmortems
- 1. Alerting and on-call practices
|
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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q165-Q170):
NEW QUESTION # 165
You are creating a CI/CD pipeline to perform Terraform deployments of Google Cloud resources Your CI/CD tooling is running in Google Kubernetes Engine (GKE) and uses an ephemeral Pod for each pipeline run You must ensure that the pipelines that run in the Pods have the appropriate Identity and Access Management (1AM) permissions to perform the Terraform deployments You want to follow Google-recommended practices for identity management What should you do?
Choose 2 answers
- A. Assign the appropriate 1AM permissions to the Google service account associated with the Compute Engine VM instances that run the Pods
- B. Create a new JSON service account key for the Google service account store the key in the secret management store for the CI/CD tool and configure Terraform to use this key for authentication
- C. Create a new Kubernetes service account, and assign the service account to the Pods Use Workload Identity to authenticate as the Google service account
- D. Create a new JSON service account key for the Google service account store the key as a Kubernetes secret, inject the key into the Pods, and set the boogle_application_credentials environment variable
- E. Create a new Google service account, and assign the appropriate 1AM permissions
Answer: C,E
Explanation:
The best options for ensuring that the pipelines that run in the Pods have the appropriate IAM permissions to perform the Terraform deployments are to create a new Kubernetes service account and assign the service account to the Pods, and to use Workload Identity to authenticate as the Google service account. A Kubernetes service account is an identity that represents an application or a process running in a Pod. A Google service account is an identity that represents a Google Cloud resource or service. Workload Identity is a feature that allows you to bind Kubernetes service accounts to Google service accounts. By using Workload Identity, you can avoid creating and managing JSON service account keys, which are less secure and require more maintenance. You can also assign the appropriate IAM permissions to the Google service account that corresponds to the Kubernetes service account.
NEW QUESTION # 166
Your company stores a large volume of infrequently used data in Cloud Storage. The projects in your company's CustomerService folder access Cloud Storage frequently, but store very little data. You want to enable Data Access audit logging across the company to identify data usage patterns. You need to exclude the CustomerService folder projects from Data Access audit logging. What should you do?
- A. Enable Data Access audit logging for Cloud Storage for all projects and folders other than the CustomerService folder.
- B. Enable Data Access audit logging for Cloud Storage at the organization level, with no additional configuration.
- C. Enable Data Access audit logging for Cloud Storage at the organization level, and configure exempted principals to include users of the CustomerService folder.
- D. Enable Data Access audit logging for Cloud Storage for all projects and folders, and configure exempted principals to include users of the CustomerService folder.
Answer: C
Explanation:
To exclude a subset of users or projects from Data Access audit logging, you use the exempted principals configuration. This allows you to selectively disable logs for specific groups, such as developers in the CustomerService folder.
"You can configure exempted principals so that audit logs are not generated for certain users, service accounts, or groups."
- Configuring Audit Logs
"Data Access logs are disabled by default because of their high volume, and you can enable them at the organization, folder, or project level."
- Audit Logs Overview
Thus, enabling audit logging org-wide and exempting a specific set of users (i.e., CustomerService folder) meets the need.
NEW QUESTION # 167
As part of your company's initiative to shift left on security, the infoSec team is asking all teams to implement guard rails on all the Google Kubernetes Engine (GKE) clusters to only allow the deployment of trusted and approved images You need to determine how to satisfy the InfoSec teams goal of shifting left on security.
What should you do?
- A. Use Binary Authorization to attest images during your CI CD pipeline
- B. Deploy Falco or Twistlock on GKE to monitor for vulnerabilities on your running Pods
- C. Enable Container Analysis in Artifact Registry, and check for common vulnerabilities and exposures (CVEs) in your container images
- D. Configure Identity and Access Management (1AM) policies to create a least privilege model on your GKE clusters
Answer: A
Explanation:
The best option for implementing guard rails on all GKE clusters to only allow the deployment of trusted and approved images is to use Binary Authorization to attest images during your CI/CD pipeline. Binary Authorization is a feature that allows you to enforce signature-based validation when deploying container images. You can use Binary Authorization to create policies that specify which images are allowed or denied in your GKE clusters. You can also use Binary Authorization to attest images during your CI/CD pipeline by using tools such as Container Analysis or third-party integrations. An attestation is a digital signature that certifies that an image meets certain criteria, such as passing vulnerability scans or code reviews. By using Binary Authorization to attest images during your CI/CD pipeline, you can ensure that only trusted and approved images are deployed to your GKE clusters.
NEW QUESTION # 168
You need to run a business-critical workload on a fixed set of Compute Engine instances for several months. The workload is stable with the exact amount of resources allocated to it. You want to lower the costs for this workload without any performance implications. What should you do?
- A. Migrate the instances to a Managed Instance Group.
- B. Create an Unmanaged Instance Group for the instances used to run the workload.
- C. Purchase Committed Use Discounts.
- D. Convert the instances to preemptible virtual machines.
Answer: D
NEW QUESTION # 169
You are managing the production deployment to a set of Google Kubernetes Engine (GKE) clusters. You want to make sure only images which are successfully built by your trusted CI/CD pipeline are deployed to production. What should you do?
- A. Enable Vulnerability Analysis on the Container Registry.
- B. Set up the Kubernetes Engine clusters as private clusters.
- C. Set up the Kubernetes Engine clusters with Binary Authorization.
- D. Enable Cloud Security Scanner on the clusters.
Answer: C
Explanation:
Explanation
https://cloud.google.com/binary-authorization/docs/overview
NEW QUESTION # 170
......
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