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The benefit of obtaining the Google Professional Cloud DevOps Engineer Exam Certification
- Google Professional Cloud DevOps Engineer certification has more useful and relevant DevOps that help them in setting career goals for themselves. Google Professional Cloud DevOps Engineer DevOps provide them with the correct career guidance that non-certified generally are unable to get.
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Introduction to Google Professional Cloud DevOps Engineer Exam
Google Professional Cloud DevOps Engineer Exam is a certification exam that is conducted by Google to validates candidate knowledge and skills of working as a Professional Cloud DevOps engineer in the IT industry.
After passing this Professional Cloud DevOps Engineer Exam test, candidates get a certificate from Google that helps them to demonstrate their proficiency in Google Professional Cloud DevOps Engineer to their clients and employers.
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The Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification exam covers a wide range of topics, including cloud computing fundamentals, GCP architecture, infrastructure and platform services, DevOps principles, and best practices for deploying and maintaining applications on GCP. Professional-Cloud-DevOps-Engineer Exam consists of multiple-choice questions and requires candidates to demonstrate their knowledge and understanding of these topics.
Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q105-Q110):
NEW QUESTION # 105
You deployed an application into a large Standard Google Kubernetes Engine (GKE) cluster. The application is stateless and multiple pods run at the same time. Your application receives inconsistent traffic. You need to ensure that the user experience remains consistent regardless of changes in traffic. and that the resource usage of the cluster is optimized.
What should you do?
- A. Configure cluster autoscaling on the node pool.
- B. Configure a cron job to scale the deployment on a schedule.
- C. Configure a Vertical Pod Autoscaler.
- D. Configure a Horizontal Pod Autoscaler.
Answer: D
NEW QUESTION # 106
You want to share a Cloud Monitoring custom dashboard with a partner team What should you do?
- A. Export the metrics to BigQuery Use Looker Studio to create a dashboard, and share the dashboard with the partner team
- B. Copy the Monitoring Query Language (MQL) query from the dashboard; and send the MQL query to the partner team
- C. Download the JSON definition of the dashboard, and send the JSON file to the partner team
- D. Provide the partner team with the dashboard URL to enable the partner team to create a copy of the dashboard
Answer: D
Explanation:
The best option for sharing a Cloud Monitoring custom dashboard with a partner team is to provide the partner team with the dashboard URL to enable the partner team to create a copy of the dashboard. A Cloud Monitoring custom dashboard is a dashboard that allows you to create and customize charts and widgets to display metrics, logs, and traces from your Google Cloud resources and applications. You can share a custom dashboard with a partner team by providing them with the dashboard URL, which is a link that allows them to view the dashboard in their browser. The partner team can then create a copy of the dashboard in their own project by using the Copy Dashboard option. This way, they can access and modify the dashboard without affecting the original one.
NEW QUESTION # 107
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. disableServiceAccountKeyUp10ad constraint to the organization.
- D. Apply the constraints/iam.disableserviceAccountKeycreation constraint to the organization.
Answer: D
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.
Reference:
Disable user-managed service account key creation, Disable user-managed service account key creation. Service accounts, User-managed service accounts. Help keep your Google Cloud service account keys safe, Help keep your Google Cloud service account keys safe. Stop Downloading Google Cloud Service Account Keys!, Stop Downloading Google Cloud Service Account Keys! [Service Account Keys], Service Account Keys. [Disable user-managed service account key upload], Disable user-managed service account key upload. [Granting roles to service accounts], Granting roles to service accounts.
NEW QUESTION # 108
You are developing a strategy for monitoring your Google Cloud Platform (GCP) projects in production using Stackdriver Workspaces. One of the requirements is to be able to quickly identify and react to production environment issues without false alerts from development and staging projects. You want to ensure that you adhere to the principle of least privilege when providing relevant team members with access to Stackdriver Workspaces. What should you do?
- A. Create a new GCP monitoring project, and create a Stackdriver Workspace inside it. Attach the production projects to this workspace. Grant relevant team members read access to the Stackdriver Workspace.
- B. Grant relevant team members the Project Viewer IAM role on all GCP production projects. Create Slackdriver workspaces inside each project.
- C. Grant relevant team members read access to all GCP production projects. Create Stackdriver workspaces inside each project.
- D. Choose an existing GCP production project to host the monitoring workspace. Attach the production projects to this workspace. Grant relevant team members read access to the Stackdriver Workspace.
Answer: C
NEW QUESTION # 109
You are designing a new multi-tenant Google Kubernetes Engine (GKE) cluster for a customer. Your customer is concerned with the risks associated with long-lived credentials use. The customer requires that each GKE workload has the minimum Identity and Access Management (IAM) permissions set following the principle of least privilege (PoLP). You need to design an IAM impersonation solution while following Google-recommended practices. What should you do?
- A. Create a Google service account.
Create a node pool without taints, and set the Google service account as the default identity.
Grant IAM permissions to the Google service account. - B. Create a Google service account.
Create a node pool, and set the Google service account as the default identity.
Ensure that workloads can only run on the designated node pool by using node selectors, taints, and tolerations.
Repeat for each workload. - C. Create a Google service account.
Create a service account key for the Google service account.
Create a Kubernetes secret with a service account key.
Ensure that workload mounts the secret and set the GOOGLE_APPLICATION_CREDENTIALS environment variable to point at the mount path.
Repeat for each workload. - D. Create a Google service account.
Create a Kubernetes service account in a Workload Identity-enabled cluster.
Link the Google service account with the Kubernetes service account by using the roles/iam.
workloadIdentityUser role and iam.gke.io/gcp-service-account annotation.
Map the Kubernetes service account to the workload.
Repeat for each workload.
Answer: D
Explanation:
Google Workload Identity is the recommended method to allow GKE workloads to securely access Google Cloud APIs using short-lived credentials without managing keys.
"Workload Identity is the recommended way to access Google Cloud services from GKE. It replaces the older method of using service account keys."
- Workload Identity Overview
"You can configure a Kubernetes service account to impersonate a Google Cloud service account by granting the roles/iam.workloadIdentityUser role and using the iam.gke.io/gcp-service-account annotation."
- Configure Workload Identity
This satisfies the customer's requirement for PoLP and avoids long-lived keys.
NEW QUESTION # 110
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