GOOGLE PROFESSIONAL-CLOUD-DEVOPS-ENGINEER STUDY CENTER | VALID PROFESSIONAL-CLOUD-DEVOPS-ENGINEER EXAM PASS4SURE

Google Professional-Cloud-DevOps-Engineer Study Center | Valid Professional-Cloud-DevOps-Engineer Exam Pass4sure

Google Professional-Cloud-DevOps-Engineer Study Center | Valid Professional-Cloud-DevOps-Engineer Exam Pass4sure

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Google Professional-Cloud-DevOps-Engineer exam is designed to validate the skills and expertise of professionals in the field of cloud DevOps engineering. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification is intended for individuals who are responsible for designing, building, and managing scalable and reliable cloud infrastructure and applications. Professional-Cloud-DevOps-Engineer exam covers a wide range of topics, including continuous integration and delivery, monitoring and logging, security, and compliance. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification is intended for professionals who work with Google Cloud Platform and have experience with one or more of the programming languages such as Python, Java or Ruby.

The Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification exam consists of multiple-choice questions, scenario-based questions, and hands-on tasks. Professional-Cloud-DevOps-Engineer Exam Duration is two hours, and the passing score is 70%. Professional-Cloud-DevOps-Engineer exam fee is $200 USD, and it is available in multiple languages, including English, Japanese, and Spanish. Candidates can take the exam online or at a test center.

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q156-Q161):

NEW QUESTION # 156
Your application images are built using Cloud Build and pushed to Google Container Registry (GCR). You want to be able to specify a particular version of your application for deployment based on the release version tagged in source control. What should you do when you push the image?

  • A. Supply the source control tag as a parameter within the image name.
  • B. Reference the image digest in the source control tag.
  • C. Use GCR digest versioning to match the image to the tag in source control.
  • D. Use Cloud Build to include the release version tag in the application image.

Answer: A


NEW QUESTION # 157
You recently migrated an ecommerce application to Google Cloud. You now need to prepare the application for the upcoming peak traffic season. You want to follow Google-recommended practices. What should you do first to prepare for the busy season?

  • A. Pre-provision the additional compute power that was used last season, and expect growth.
  • B. Migrate the application to Cloud Run, and use autoscaling.
  • C. Create a Terraform configuration for the application's underlying infrastructure to quickly deploy to additional regions.
  • D. Load test the application to profile its performance for scaling.

Answer: D

Explanation:
Explanation
The first thing you should do to prepare your ecommerce application for the upcoming peak traffic season is to load test the application to profile its performance for scaling. Load testing is a process of simulating high traffic or user demand on your application and measuring how it responds. Load testing can help you identify any bottlenecks, errors, or performance issues that might affect your application during the busy season1. Load testing can also help you determine the optimal scaling strategy for your application, such as horizontal scaling (adding more instances) or vertical scaling (adding more resources to each instance)2.
There are different tools and methods for load testing your ecommerce application on Google Cloud, depending on the type and complexity of your application. For example, you can use Cloud Load Balancing to distribute traffic across multiple instances of your application, and use Cloud Monitoring to measure the latency, throughput, and error rate of your application3. You can also use Cloud Functions or Cloud Run to create serverless load generators that can simulate user requests and send them to your application4.
Alternatively, you can use third-party tools such as Apache JMeter or Locust to create and run load tests on your application.
By load testing your ecommerce application before the peak traffic season, you can ensure that your application is ready to handle the expected load and provide a good user experience. You can also use the results of your load tests to plan and implement other steps to prepare your application for the busy season, such as migrating to a more scalable platform, creating a Terraform configuration for deploying to additional regions, or pre-provisioning additional compute power.
References:
1: Load Testing 101: How To Test Website Performance | BlazeMeter
2: Scaling applications | Google Cloud
3: Load testing using Google Cloud | Solutions | Google Cloud
4: Serverless load testing using Cloud Functions | Solutions | Google Cloud


NEW QUESTION # 158
You are working with a government agency that requires you to archive application logs for seven years. You need to configure Stackdriver to export and store the logs while minimizing costs of storage. What should you do?

  • A. Create a sink in Stackdriver, name it, create a bucket on Cloud Storage for storing archived logs, and then select the bucket as the log export destination.
  • B. Create an export in Stackdriver and configure Cloud Pub/Sub to store logs in permanent storage for seven years.
  • C. Develop an App Engine application that pulls the logs from Stackdriver and saves them in BigQuery.
  • D. Create a Cloud Storage bucket and develop your application to send logs directly to the bucket.

Answer: A

Explanation:
Explanation
https://cloud.google.com/logging/docs/routing/overview


NEW QUESTION # 159
Your company experiences bugs, outages, and slowness in its production systems. Developers use the production environment for new feature development and bug fixes. Configuration and experiments are done in the production environment, causing outages for users. Testers use the production environment for load testing, which often slows the production systems. You need to redesign the environment to reduce the number of bugs and outages in production and to enable testers to toad test new features. What should you do?

  • A. Secure the production environment to ensure that developers can't change it and set up one controlled update per year.
  • B. Create a development environment for writing code and a test environment for configurations, experiments, and load testing.
  • C. Create a development environment with smaller server capacity and give access only to developers and testers.
  • D. Create an automated testing script in production to detect failures as soon as they occur.

Answer: D


NEW QUESTION # 160
Your company wants to implement a CD pipeline in Cloud Deploy for a web service deployed to GKE. The web service currently does not have any automated testing. The Quality Assurance team must manually verify any new releases of the web service before any production traffic is processed. You need to design the CD pipeline. What should you do?

  • A. Create a single pipeline stage, and use a standard deployment strategy.
  • B. Create two pipeline stages, and use a standard deployment strategy.
  • C. Create a single pipeline stage, and use a canary deployment strategy.
  • D. Create two pipeline stages, and use a canary deployment strategy.

Answer: B

Explanation:
To allow manual QA approval, you need separate pipeline stages (e.g., staging # production) and manual promotion between them.
"Cloud Deploy supports multi-stage pipelines where you can manually approve releases before promotion."
- Cloud Deploy Promotion
"Use a standard strategy when there are no automated tests or SLOs to support rollback decisions."
- Deployment Strategies
Canary is best used when automated health checks and metrics exist, which is not the case here.


NEW QUESTION # 161
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