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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q93-Q98):
NEW QUESTION # 93
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 reporting backend PD throughout capacity compared to a known-good threshold
- B. As the I/O wait times aggregated across all report generation backends
- C. As the application's report generation queue size compared to a known-good threshold
- D. As the proportion of report generation requests that result in a successful response
Answer: D
NEW QUESTION # 94
You are designing a new Google Cloud organization for a client. Your client is concerned with the risks associated with long-lived credentials created in Google Cloud. You need to design a solution to completely eliminate the risks associated with the use of JSON service account keys while minimizing operational overhead. What should you do?
- A. Grant the roles/ iam.serviceAccountKeyAdmin IAM role to organization administrators only.
- B. Use custom versions of predefined roles to exclude all iam.serviceAccountKeys. * service account role permissions.
- C. Apply the constraints/iam.disableserviceAccountKeycreation constraint to the organization.
- D. Apply the constraints/iam.disableServiceAccountKeyUp10ad constraint to the organization.
Answer: C
Explanation:
Explanation
The correct answer is B. Apply the constraints/iam.disableServiceAccountKeyCreation constraint to the organization.
According to the Google Cloud documentation, the constraints/iam.disableServiceAccountKeyCreation constraint is an organization policy constraint that prevents the creation of user-managed service account keys1. User-managed service account keys are long-lived credentials that can be downloaded as JSON or P12 files and used to authenticate as a service account2. These keys pose severe security risks if they are leaked, stolen, or misused by unauthorized entities34. By applying this constraint to the organization, you can completely eliminate the risks associated with the use of JSON service account keys and enforce a more secure alternative for authentication, such as Workload Identity or short-lived access tokens12. This also minimizes operational overhead by avoiding the need to manage, rotate, or revoke user-managed service account keys.
The other options are incorrect because they do not completely eliminate the risks associated with the use of JSON service account keys. Option A is incorrect because it only restricts the IAM permissions to create, list, get, delete, or sign service account keys, but it does not prevent existing keys from being used or leaked.
Option C is incorrect because it only disables the upload of user-managed service account keys, but it does not prevent the creation or download of such keys. Option D is incorrect because it only limits the IAM role that can create and manage service account keys, but it does not prevent the keys from being distributed or exposed to unauthorized entities.
NEW QUESTION # 95
Your product is currently deployed in three Google Cloud Platform (GCP) zones with your users divided between the zones. You can fail over from one zone to another, but it causes a 10-minute service disruption for the affected users. You typically experience a database failure once per quarter and can detect it within five minutes. You are cataloging the reliability risks of a new real-time chat feature for your product. You catalog the following information for each risk:
* Mean Time to Detect (MUD} in minutes
* Mean Time to Repair (MTTR) in minutes
* Mean Time Between Failure (MTBF) in days
* User Impact Percentage
The chat feature requires a new database system that takes twice as long to successfully fail over between zones. You want to account for the risk of the new database failing in one zone. What would be the values for the risk of database failover with the new system?
- A. MTTD:5MTTR: 10MTBF: 90Impact 50%
- B. MTTD:5MTTR: 20MTBF: 90Impact: 33%
- C. MTTD:5MTTR: 20MTBF: 90Impact: 50%
- D. MTTD: 5MTTR: 10MTBF: 90Impact: 33%
Answer: B
Explanation:
https://www.atlassian.com/incident-management/kpis/common-metrics
https://linkedin.github.io/school-of-sre/
NEW QUESTION # 96
Some of your production services are running in Google Kubernetes Engine (GKE) in the eu-west-1 region.
Your build system runs in the us-west-1 region. You want to push the container images from your build system to a scalable registry to maximize the bandwidth for transferring the images to the cluster. What should you do?
- A. Push the images to Google Container Registry (GCR) using the us.gcr.io hostname.
- B. Push the images to Google Container Registry (GCR) using the eu.gcr.io hostname.
- C. Push the images to Google Container Registry (GCR) using the gcr.io hostname.
- D. Push the images to a private image registry running on a Compute Engine instance in the eu-west-1 region.
Answer: B
Explanation:
Explanation
Hostname Storage location gcr.io Stores images in data centers in the United States asia.gcr.io Stores images in data centers in Asia eu.gcr.io Stores images in data centers within member states of the European Union us.gcr.io Stores images in data centers in the United States
NEW QUESTION # 97
Your organization recently adopted a container-based workflow for application development. Your team develops numerous applications that are deployed continuously through an automated build pipeline to a Kubernetes cluster in the production environment. The security auditor is concerned that developers or operators could circumvent automated testing and push code changes to production without approval. What should you do to enforce approvals?
- A. Enable binary authorization inside the Kubernetes cluster and configure the build pipeline as an attestor.
- B. Configure the build system with protected branches that require pull request approval.
- C. Use an Admission Controller to verify that incoming requests originate from approved sources.
- D. Leverage Kubernetes Role-Based Access Control (RBAC) to restrict access to only approved users.
Answer: A
Explanation:
The keywords here is "developers or operators". Option A the operators could push images to production without approval (operators could touch the cluster directly and the cluster cannot do any action against them). Rest same as francisco_guerra.
NEW QUESTION # 98
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