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Certification Professional-Cloud-DevOps-Engineer Exam - Free PDF Professional-Cloud-DevOps-Engineer - Google Cloud Certified - Professional Cloud DevOps Engineer Exam First-grade Latest Braindumps Ppt

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Google Professional-Cloud-DevOps-Engineer certification is highly valued in the industry and is recognized as a mark of excellence in the field of cloud-based DevOps. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification is ideal for professionals who are looking to advance their careers in DevOps and cloud computing, and who are interested in working with Google Cloud technologies. By earning this certification, professionals can demonstrate their ability to design, implement, and manage DevOps workflows on Google Cloud, and can enhance their credibility with employers and clients alike.

Google Professional-Cloud-DevOps-Engineer Exam is a certification offered by Google Cloud that focuses on validating the skills and knowledge of professionals in the field of cloud-based DevOps. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification is intended for individuals who have a strong understanding of cloud-based infrastructure, continuous integration and delivery, automation, and collaboration. Professional-Cloud-DevOps-Engineer exam is designed to assess a candidate’s ability to design, implement, and manage DevOps workflows on Google Cloud.

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Latest Braindumps Professional-Cloud-DevOps-Engineer Ppt & Professional-Cloud-DevOps-Engineer Test Answers

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q157-Q162):

NEW QUESTION # 157
You are designing a deployment technique for your applications on Google Cloud. As part Of your deployment planning, you want to use live traffic to gather performance metrics for new versions Ofyour applications. You need to test against the full production load before your applications are launched. What should you do?

A. Use canary testing with rolling updates deployment,
B. Use shadow testing with continuous deployment.
C. Use canary testing with continuous deployment.
D. Use A/B testing with blue/green deployment.

Answer: B

Explanation:
The correct answer is B. Use shadow testing with continuous deployment.
Shadow testing is a deployment technique that involves routing a copy of the live traffic to a new version of the application, without affecting the production environment. This way, you can gather performance metrics and compare them with the current version, without exposing the new version to the users. Shadow testing can help you test against the full production load and identify any issues or bottlenecks before launching the new version. You can use continuous deployment to automate the process of deploying the new version after it passes the shadow testing.

NEW QUESTION # 158
You need to create a Cloud Monitoring SLO for a service that will be published soon. You want to verify that requests to the service will be addressed in fewer than 300 ms at least 90% Of the time per calendar month. You need to identify the metric and evaluation method to use. What should you do?

A. Select a latency metric for a window-based method of evaluation.
B. Select an availability metric for a request-based method of evaluation.
C. Select a latency metric for a request-based method of evaluation.
D. Select an availability metric for a window-based method Of evaluation.

Answer: C

Explanation:
The correct answer is
A, Select a latency metric for a request-based method of evaluation.
A latency metric measures how responsive your service is to users. For example, you can use the cloud.googleapis.com/http/server/response_latencies metric to measure the latency of HTTP requests to your service1. A request-based method of evaluation counts the number of successful requests that meet a certain criterion, such as being below a latency threshold, and compares it to the number of all requests. For example, you can define an SLI as the ratio of requests with latency below 300 ms to all requests2. A request-based method of evaluation is suitable for measuring performance over time, such as per calendar month. You can set an SLO for the SLI to be at least 90%, which means that you expect 90% of the requests to have latency below 300 ms in a month3.
Reference:
Creating an SLO | Operations Suite | Google Cloud, Choosing a metric, Latency metric. Concepts in service monitoring | Operations Suite | Google Cloud, Service-level indicators, Request-based SLIs. Learn how to set SLOs - SRE tips | Google Cloud Blog, Setting SLOs.

NEW QUESTION # 159
You are running an application on Compute Engine and collecting logs through Stackdriver. You discover that some personally identifiable information (PII) is leaking into certain log entry fields. All PII entries begin with the text userinfo. You want to capture these log entries in a secure location for later review and prevent them from leaking to Stackdriver Logging. What should you do?

A. Use a Fluentd filter plugin with the Stackdriver Agent to remove log entries containing userinfo, and then copy the entries to a Cloud Storage bucket.
B. Use a Fluentd filter plugin with the Stackdriver Agent to remove log entries containing userinfo, create an advanced log filter matching userinfo, and then configure a log export in the Stackdriver console with Cloud Storage as a sink.
C. Create an advanced log filter matching userinfo, configure a log export in the Stackdriver console with Cloud Storage as a sink, and then configure a log exclusion with userinfo as a filter.
D. Create a basic log filter matching userinfo, and then configure a log export in the Stackdriver console with Cloud Storage as a sink.

Answer: D

NEW QUESTION # 160
You support a high-traffic web application that runs on Google Cloud Platform (GCP). You need measure application reliability from a user perspective without making any engineering changes to it. What should you do? (Choose two.)

A. Use current and historic Request Logs to trace customer interaction with the application.
B. Analyze the web proxy logs only and capture response time of each request.
C. Create new synthetic clients to simulate a user journey using the application.
D. Review current application metrics and add new ones as needed.
E. Modify the code to capture additional information for user interaction.

Answer: C,E

NEW QUESTION # 161
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?

A. * 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.
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 logging agent to the application servers.
* Give the developers the IAM Logs Viewer role to access Stackdriver and view logs.
D. * Deploy the Stackdriver monitoring agent to the application servers.
* Give the developers the IAM Monitoring Viewer role to access Stackdriver and view metrics.

Answer: C

Explanation:
https://cloud.google.com/logging/docs/audit#access-control

NEW QUESTION # 162
......

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