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Google Professional-Cloud-DevOps-Engineer Exam Overview:

Certification Vendor:	Google Cloud
Exam Name:	Google Cloud Certified - Professional Cloud DevOps Engineer Exam
Exam Number:	Professional-Cloud-DevOps-Engineer
Certificate Validity Period:	2 years
Passing Score:	Not publicly disclosed
Related Certifications:	Professional Cloud Architect Professional Cloud Security Engineer Professional Cloud Developer Professional Cloud Network Engineer
Exam Format:	Multiple choice, Multiple select
Exam Price:	$200 (plus tax where applicable)
Exam Duration:	120 minutes
Available Languages:	Japanese, English
Real Exam Qty:	50-60
Recommended Training:	Exam Guide Professional Cloud DevOps Engineer Learning Path
Exam Registration:	Google Cloud Certification Registration
Sample Questions:	Google Professional-Cloud-DevOps-Engineer Sample Questions
Exam Way:	Online proctored (remote) or onsite proctored (testing center)
Pre Condition:	No mandatory prerequisites; recommended: 3+ years industry experience, 1+ year managing production systems on Google Cloud
Official Syllabus URL:	https://cloud.google.com/learn/certification/cloud-devops-engineer

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q102-Q107):

NEW QUESTION # 102
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. Enable Container Analysis in Artifact Registry, and check for common vulnerabilities and exposures (CVEs) in your container images
C. Configure Identity and Access Management (1AM) policies to create a least privilege model on your GKE clusters
D. Deploy Falco or Twistlock on GKE to monitor for vulnerabilities on your running Pods

Answer: A

Explanation:
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 # 103
You support an application running on App Engine. The application is used globally and accessed from various device types. You want to know the number of connections. You are using Stackdriver Monitoring for App Engine. What metric should you use?

A. tcp_ssl_proxy/new_connections
B. flex/connections/current
C. tcp_ssl_proxy/open_connections
D. flex/instance/connections/current

Answer: D

Explanation:
Explanation/Reference: https://cloud.google.com/monitoring/api/metrics_gcp

NEW QUESTION # 104
You need to enforce several constraint templates across your Google Kubernetes Engine (GKE) clusters. The constraints include policy parameters, such as restricting the Kubernetes API. You must ensure that the policy parameters are stored in a GitHub repository and automatically applied when changes occur. What should you do?

A. Configure Config Connector with the GitHub repository. When there is a change in the repository, use Config Connector to apply the change.
B. Configure Anthos Config Management with the GitHub repository. When there is a change in the repository, use Anthos Config Management to apply the change.
C. When there is a change in GitHub, use a web hook to send a request to Anthos Service Mesh, and apply the change.
D. Set up a GitHub action to trigger Cloud Build when there is a parameter change. In Cloud Build, run a gcloud CLI command to apply the change.

Answer: B

NEW QUESTION # 105
Your application runs on Google Cloud Platform (GCP). You need to implement Jenkins for deploying application releases to GCP. You want to streamline the release process, lower operational toil, and keep user data secure. What should you do?

A. Implement Jenkins on Kubernetes on-premises
B. Implement Jenkins on local workstations.
C. Implement Jenkins on Google Cloud Functions.
D. Implement Jenkins on Compute Engine virtual machines.

Answer: D

Explanation:
Explanation
Your application runs on Google Cloud Platform (GCP). You need to implement Jenkins for deploying application releases to GCP. You want to streamline the release process, lower operational toil, and keep user data secure. What should you do?
https://plugins.jenkins.io/google-compute-engine/

NEW QUESTION # 106
You currently store the virtual machine (VM) utilization logs in Stackdriver. You need to provide an easy-to- share interactive VM utilization dashboard that is updated in real time and contains information aggregated on a quarterly basis. You want to use Google Cloud Platform solutions. What should you do?

A. 1. Export VM utilization logs from Stackdriver to Cloud Pub/Sub.
2. From Cloud Pub/Sub, send the logs to a Security Information and Event Management (SIEM) system.
3. Build the dashboards in the SIEM system and share with your stakeholders.
B. 1. Export VM utilization logs from Stackdriver to a Cloud Storage bucket.
2. Enable the Cloud Storage API to pull the logs programmatically.
3. Build a custom data visualization application.
4. Display the pulled logs in a custom dashboard.
C. 1. Export VM utilization logs from Stackdriver to BigQuery.
2. From BigQuery, export the logs to a CSV file.
3. Import the CSV file into Google Sheets.
4. Build a dashboard in Google Sheets and share it with your stakeholders.
D. 1. Export VM utilization logs from Stackdriver to BigQuery.
2. Create a dashboard in Data Studio.
3. Share the dashboard with your stakeholders.

Answer: D

NEW QUESTION # 107
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