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| Section | Weight | Objectives |
|---|---|---|
| CI/CD Pipeline Development | 26% | - CI/CD best practices
|
| Reliability and Site Reliability Engineering (SRE) | 24% | - Incident management
|
| Microservices Architecture | 14% | - API management
|
| Cloud Infrastructure Automation | 24% | - Infrastructure as Code (IaC)
|
| Monitoring, Logging, and Debugging | 12% | - Debugging and troubleshooting
|
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NEW QUESTION # 47
Your company allows teams to self-manage Google Cloud projects, including project-level Identity and Access Management (IAM). You are concerned that the team responsible for the Shared VPC project might accidentally delete the project, so a lien has been placed on the project. You need to design a solution to restrict Shared VPC project deletion to those with the resourcemanager.projects.updateLiens permission at the organization level. What should you do?
Answer: C
Explanation:
Comprehensive and Detailed Explanation From General Google Cloud IAM and Organization Policy Knowledge:
The core requirement is to prevent accidental deletion of a Shared VPC host project, even by project owners, by ensuring that only users with a specific permission at the organization level can remove the lien that protects the project.
A lien (resourcemanager.projects.delete) has already been placed on the project. This prevents its deletion.
The challenge is to prevent the removal of this lien by project-level administrators.
The permission to remove a lien is resourcemanager.projectLiens.update (or resourcemanager.projects.
updateLiens as stated in the question, which implies a broader update capability including liens).
Option A (Enable VPC Service Controls for the container.googleapis.com API service): VPC Service Controls are for data exfiltration prevention by creating service perimeters. They do not directly control IAM permissions for lien management or project deletion.
Option B (Revoke the resourcemanager.projects.updateLiens permission from all users associated with the project): While this would prevent project-level users from removing the lien, it doesn't enforce therequirement that only users with this permission at the organization level can remove it. A project owner could potentially re-grant themselves this permission at the project level if not otherwise restricted. The goal is a stronger, centrally enforced restriction.
Option C (Enable the compute.restrictXpnProjectLienRemoval organization policy constraint): This is specifically designed for the scenario described.Organization Policies allow centralized control over resource configurations across the organization.
The compute.restrictXpnProjectLienRemoval constraint, when enforced (set to True), restricts the removal of liens on Shared VPC host projects. Only users who have the resourcemanager.projectLiens.update permission (or resourcemanager.projects.updateLiens) granted at the organization level can then remove such liens. This prevents project owners or other project-level principals from removing the lien unless they also have this specific permission at the org level.
Option D (Instruct teams to only perform IAM permission management as code with Terraform): While Infrastructure as Code (IaC) is a good practice for managing IAM, it's an operational guideline and doesn't technically enforce the restriction on lien removal. A user with sufficient project-level IAM permissions could still manually remove the lien via the console or gcloud if not prevented by an organization policy.
Therefore, enabling the compute.restrictXpnProjectLienRemoval organization policy is the direct and most effective way to meet the requirement.
Reference (Based on Google Cloud Organization Policy and Shared VPC documentation):
Google Cloud documentation on Resource Manager Liens: https://cloud.google.com/resource-manager/docs
/project-liens
Google Cloud documentation on Organization Policy Constraints: https://cloud.google.com/resource-manager
/docs/organization-policy/org-policy-constraints
Specifically, the compute.restrictXpnProjectLienRemoval constraint: "When set to true, liens on Shared VPC host projects can only be removed by users that have resourcemanager.projectLiens.update permission on the organization." (or similar wording indicating org-level permission is required). This constraint ensures that the protection afforded by the lien on a critical Shared VPC host project cannot be easily circumvented at the project level.
NEW QUESTION # 48
You are using Stackdriver to monitor applications hosted on Google Cloud Platform (GCP). You recently deployed a new application, but its logs are not appearing on the Stackdriver dashboard.
You need to troubleshoot the issue. What should you do?
Answer: C
Explanation:
https://cloud.google.com/monitoring/agent/monitoring/troubleshooting#checklist
NEW QUESTION # 49
Your team is running microservices in Google Kubernetes Engine (GKE) You want to detect consumption of an error budget to protect customers and define release policies What should you do?
Answer: B
Explanation:
Explanation
The best option for detecting consumption of an error budget to protect customers and define release policies is to create a service level objective (SLO) and create an alert policy on select_slo_burn_rate. A SLO is a target value or range of values for a service level indicator (SLI) that measures some aspect of the service quality, such as availability or latency. An error budget is the amount of time or number of errors that a service can tolerate while still meeting its SLO. A select_slo_burn_rate is a metric that indicates how fast the error budget is being consumed by the service. By creating an alert policy on select_slo_burn_rate, you can trigger notifications or actions when the error budget consumption exceeds a certain threshold. This way, you can balance change, velocity, and reliability of the service by adjusting the release policies based on the error budget status.
NEW QUESTION # 50
Your company runs services by using multiple globally distributed Google Kubernetes Engine (GKE) clusters Your operations team has set up workload monitoring that uses Prometheus-based tooling for metrics alerts:
and generating dashboards This setup does not provide a method to view metrics globally across all clusters You need to implement a scalable solution to support global Prometheus querying and minimize management overhead What should you do?
Answer: B
Explanation:
The best option for implementing a scalable solution to support global Prometheus querying and minimize management overhead is to use Google Cloud Managed Service for Prometheus. Google Cloud Managed Service for Prometheus is a fully managed service that allows you to collect, query, and visualize metrics from your GKE clusters using Prometheus-based tooling. You can use Google Cloud Managed Service for Prometheus to query metrics across multiple clusters and regions using a global view. You can also use Google Cloud Managed Service for Prometheus to integrate with other Google Cloud services, such as Cloud Monitoring, Cloud Logging, and BigQuery. By using Google Cloud ManagedService for Prometheus, you can avoid managing and scaling your own Prometheus servers and focus on your application performance.
NEW QUESTION # 51
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?
Answer: C
Explanation:
https://cloud.google.com/logging/docs/audit#access-control
NEW QUESTION # 52
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