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Google Professional-Cloud-DevOps-Engineer Dumps

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Professional-Cloud-DevOps-Engineer
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Google Cloud Certified - Professional Cloud DevOps Engineer Exam
Last Update: Dec 11, 2024
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Professional-Cloud-DevOps-Engineer FAQs

The Google Professional-Cloud-DevOps-Engineer Exam evaluates practices like continuous integration and deployment (CI/CD), site reliability engineering principles, monitoring and logging, and efficient incident management, focusing on their application in Google Cloud environments.

The exam assesses skills in cloud-native technologies by testing knowledge of Google Cloud services, containerization with Kubernetes, microservices architecture, and serverless solutions. It emphasizes practical application and optimization of these technologies in real-world cloud environments.

For the exam, a comprehensive understanding of Kubernetes and containerization is required. This includes deploying, managing, and scaling containerized applications using Kubernetes on Google Cloud, alongside knowledge of container orchestration principles and best practices in a cloud environment.

In the Google Cloud DevOps Engineer exam, expect scenario-based questions that simulate real-world challenges, such as setting up CI/CD pipelines, managing cloud infrastructure, implementing security best practices, and troubleshooting deployment issues within the Google Cloud ecosystem.

The Google Cloud DevOps Engineer exam focuses on the Google Cloud Platform, while the AWS DevOps Engineer exam is centered around AWS. Both cover similar DevOps principles, but with cloud-specific tools and services.

While both exams focus on Google Cloud, the Cloud Architect exam emphasizes designing cloud solutions, whereas the Cloud DevOps Engineer exam focuses on automating processes, managing cloud infrastructure, and improving operational efficiency.

After certification, you can pursue roles such as Cloud DevOps Engineer, Site Reliability Engineer (SRE), Cloud Engineer, or DevOps Consultant, specializing in Google Cloud environments.

Certified Google Cloud DevOps Engineers typically earn between $110,000 and $150,000 annually, depending on experience, location, and the size of the organization.

The Google Cloud DevOps Engineer certification focuses on managing cloud infrastructure with GCP and applying DevOps principles, while the Certified Kubernetes Administrator (CKA) and Certified Kubernetes Application Developer (CKAD) focus specifically on managing and developing with Kubernetes, which can also be part of a DevOps toolchain.

This certification enhances your career by validating your expertise in Google Cloud and DevOps practices, making you more attractive to employers looking for professionals who can optimize cloud infrastructure for performance and reliability.

Preparation time varies depending on your experience, but typically takes 2 to 4 months, including hands-on practice, reviewing study materials, and taking practice exams.

Both roles focus on operational efficiency and system reliability, but an SRE typically focuses on maintaining system uptime and responding to incidents, while a DevOps Engineer focuses on automating processes, improving development cycles, and enabling faster deployments.

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Questions and Answers

Questions 1

You need to introduce postmortems into your organization during the holiday shopping season. You are expecting your web application to receive a large volume of traffic in a short period. You need to prepare your application for potential failures during the event What should you do?

Choose 2 answers

Options:

A.

Monitor latency of your services for average percentile latency.

B.

Review your increased capacity requirements and plan for the required quota management.

C.

Create alerts in Cloud Monitoring for all common failures that your application experiences.

D.

Ensure that relevant system metrics are being captured with Cloud Monitoring and create alerts at levels of interest.

E.

Configure Anthos Service Mesh on the application to identify issues on the topology map.

Questions 2

Your application services run in Google Kubernetes Engine (GKE). You want to make sure that only images from your centrally-managed Google Container Registry (GCR) image registry in the altostrat-images project can be deployed to the cluster while minimizing development time. What should you do?

Options:

A.

Create a custom builder for Cloud Build that will only push images to gcr.io/altostrat-images.

B.

Use a Binary Authorization policy that includes the whitelist name pattern gcr.io/attostrat-images/.

C.

Add logic to the deployment pipeline to check that all manifests contain only images from gcr.io/altostrat-images.

D.

Add a tag to each image in gcr.io/altostrat-images and check that this tag is present when the image is deployed.

Questions 3

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?

Options:

A.

• Deploy the Stackdriver logging agent to the application servers.

• Give the developers the IAM Logs Viewer role to access Stackdriver and view logs.

B.

• Deploy the Stackdriver logging agent to the application servers.

• Give the developers the IAM Logs Private Logs Viewer role to access Stackdriver and view logs.

C.

• Deploy the Stackdriver monitoring agent to the application servers.

• Give the developers the IAM Monitoring Viewer role to access Stackdriver and view metrics.

D.

• Install the gsutil command line tool on your application servers.

• Write a script using gsutil to upload your application log to a Cloud Storage bucket, and then schedule it to run via cron every 5 minutes.

• Give the developers IAM Object Viewer access to view the logs in the specified bucket.

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