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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
Real Exam Qty:	50-60
Exam Duration:	120 minutes
Passing Score:	Not publicly disclosed
Certificate Validity Period:	2 years
Exam Format:	Multiple select, Multiple choice
Related Certifications:	Professional Cloud Security Engineer Professional Cloud Developer Professional Cloud Network Engineer Professional Cloud Architect
Available Languages:	Japanese, English
Exam Price:	$200 (plus tax where applicable)
Recommended Training:	Professional Cloud DevOps Engineer Learning Path Exam Guide
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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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.

Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q95-Q100):

NEW QUESTION # 95
Your company is developing applications that are deployed on Google Kubernetes Engine (GKE) Each team manages a different application You need to create the development and production environments for each team while you minimize costs Different teams should not be able to access other teams environments You want to follow Google-recommended practices What should you do?

A. Create a development and a production GKE cluster in separate projects In each cluster create a Kubernetes namespace per team and then configure Identity-Aware Proxy so that each team can only access its own namespace
B. Create one Google Cloud project per team In each project create a cluster for development and one for production Grant the teams Identity and Access Management (1AM) access to their respective clusters
C. Create one Google Cloud project per team In each project create a cluster with a Kubernetes namespace for development and one for production Grant the teams Identity and Access Management (1AM) access to their respective clusters.
D. Create a development and a production GKE cluster in separate projects In each cluster create a Kubernetes namespace per team and then configure Kubernetes role-based access control (RBAC) so that each team can only access its own namespace

Answer: D

Explanation:
Explanation
The best option for creating the development and production environments for each team while minimizing costs and ensuring isolation is to create a development and a production GKE cluster in separate projects, in each cluster create a Kubernetes namespace per team, and then configure Kubernetes role-based access control (RBAC) so that each team can only access its own namespace. This option allows you to use fewer clusters and projects than creating one project or cluster per team, which reduces costs and complexity. It also allows you to isolate each team's environment by using namespaces and RBAC, which prevents teams from accessing other teams' environments.

NEW QUESTION # 96
You support a large service with a well-defined Service Level Objective (SLO). The development team deploys new releases of the service multiple times a week. If a major incident causes the service to miss its SLO, you want the development team to shift its focus from working on features to improving service reliability. What should you do before a major incident occurs?

A. Develop an appropriate error budget policy in cooperation with all service stakeholders.
B. Add a plugin to your Jenkins pipeline that prevents new releases whenever your service is out of SLO.
C. Negotiate with the product team to always prioritize service reliability over releasing new features.
D. Negotiate with the development team to reduce the release frequency to no more than once a week.

Answer: A

NEW QUESTION # 97
Your company processes IOT data at scale by using Pub/Sub, App Engine standard environment, and an application written in GO. You noticed that the performance inconsistently degrades at peak load. You could not reproduce this issue on your workstation. You need to continuously monitor the application in production to identify slow paths in the code. You want to minimize performance impact and management overhead. What should you do?

A. Use Cloud Monitoring to assess the App Engine CPU utilization metric.
B. Install a continuous profiling tool into Compute Engine. Configure the application to send profiling data to the tool.
C. Configure Cloud Profiler, and initialize the cloud.go@gle.com/go/profiler library in the application.
D. Periodically run the go tool pprof command against the application instance. Analyze the results by using flame graphs.

Answer: C

NEW QUESTION # 98
You need to define Service Level Objectives (SLOs) for a high-traffic multi-region web application. Customers expect the application to always be available and have fast response times. Customers are currently happy with the application performance and availability. Based on current measurement, you observe that the 90th percentile of latency is 120ms and the 95th percentile of latency is 275ms over a 28-day window. What latency SLO would you recommend to the team to publish?

A. 90th percentile - 120ms
95th percentile - 275ms
B. 90th percentile - 100ms
95th percentile - 250ms
C. 90th percentile - 250ms
95th percentile - 400ms
D. 90th percentile - 150ms
95th percentile - 300ms

Answer: A

NEW QUESTION # 99
You support a trading application written in Python and hosted on App Engine flexible environment. You want to customize the error information being sent to Stackdriver Error Reporting. What should you do?

A. Use the Stackdriver Error Reporting API to write errors from your application to ReportedErrorEvent, and then generate log entries with properly formatted error messages in Stackdriver Logging.
B. Install the Stackdriver Error Reporting library for Python, and then run your code on a Compute Engine VM.
C. Install the Stackdriver Error Reporting library for Python, and then run your code on Google Kubernetes Engine.
D. Install the Stackdriver Error Reporting library for Python, and then run your code on App Engine flexible environment.

Answer: A

NEW QUESTION # 100
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