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Google Professional-Cloud-DevOps-Engineer certification exam is designed for professionals who want to demonstrate their expertise in the Google Cloud Platform (GCP) and DevOps practices. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification exam focuses on testing the candidate's ability to design, develop, and manage GCP solutions using DevOps principles. Professional-Cloud-DevOps-Engineer exam is intended for professionals who have experience in developing and managing applications on GCP and have a good understanding of DevOps practices and principles.

To earn the Google Professional-Cloud-DevOps-Engineer Certification, candidates must pass a rigorous exam that consists of multiple-choice and multiple-select questions. Professional-Cloud-DevOps-Engineer exam is designed to test the candidate's ability to apply their knowledge to real-world scenarios and use cases. Candidates must demonstrate their ability to design, develop, and deploy applications using GCP tools and services, as well as their ability to troubleshoot and optimize their applications for performance and scalability.

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q162-Q167):

NEW QUESTION # 162
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. Develop an App Engine application that pulls the logs from Stackdriver and saves them in BigQuery.
B. 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.
C. Create a Cloud Storage bucket and develop your application to send logs directly to the bucket.
D. Create an export in Stackdriver and configure Cloud Pub/Sub to store logs in permanent storage for seven years.

Answer: B

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

NEW QUESTION # 163
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. Analyze the web proxy logs only and capture response time of each request.
B. Use current and historic Request Logs to trace customer interaction with the application.
C. Create new synthetic clients to simulate a user journey using the application.
D. Modify the code to capture additional information for user interaction.
E. Review current application metrics and add new ones as needed.

Answer: C,D

NEW QUESTION # 164
Your team is building a service that performs compute-heavy processing on batches of data The data is processed faster based on the speed and number of CPUs on the machine These batches of data vary in size and may arrive at any time from multiple third-party sources You need to ensure that third partiesare able to upload their data securely. You want to minimize costs while ensuring that the data is processed as quickly as possible What should you do?

A. * Provide a Cloud Storage bucket so that third parties can upload batches of data, and provideappropriate Identity and Access Management (1AM) access to the bucket* Use a standard Google Kubernetes Engine (GKE) cluster and maintain two services one that processes the batches of data and one that monitors Cloud Storage for new batches of data* Stop the processing service when there are no batches of data to process
B. * Provide a Cloud Storage bucket so that third parties can upload batches of data, and provideappropriate Identity and Access Management (1AM) access to the bucket* Use Cloud Monitoring to detect new batches of data in the bucket and trigger a Cloud Function that processes the data* Set a Cloud Function to use the largest CPU possible to minimize the runtime of the processing
C. * Provide a Cloud Storage bucket so that third parties can upload batches of data, and provide appropriate identity and Access Management (1AM) access to the bucket* Create a Cloud Function with a google, storage, object .finalise Cloud Storage trigger Write code so that the function can scale up a Compute Engine autoscaling managed instance group* Use an image pre-loaded with the data processing software that terminates the instances when processing completes
D. * Provide a secure file transfer protocol (SFTP) server on a Compute Engine instance so that thirdparties can upload batches of data and provide appropriate credentials to the server* Create a Cloud Function with a google.storage, object, finalize Cloud Storage trigger Write code so that the function can scale up a Compute Engine autoscaling managed instance group* Use an image pre-loaded with the data processing software that terminates the instances when processing completes

Answer: C

NEW QUESTION # 165
You need to define SLOs for a high-traffic web application. Customers are currently happy with the application performance and availability. Based on current measurement, the 90th percentile Of latency is 160 ms and the 95th percentile of latency is 300 ms over a 28-day window. What latency SLO should you publish?

A. 90th percentile - 300 ms
95th percentile - 450 ms
B. 90th percentile - 150 ms
95th percentile - 290 ms
C. 90th percentile - 190 ms
95th percentile - 330 ms
D. 90th percentile - 160 ms
95th percentile - 300 ms

Answer: D

Explanation:
a latency SLO is a service level objective that specifies a target level of responsiveness for a web application1. A latency SLO can be expressed as a percentile of latency over a time window, such as the 90th percentile of latency over 28 days2. A percentile of latency is the maximum amount of time that a given percentage of requests take to complete. For example, the 90th percentile of latency is the maximum amount of time that 90% of requests take to complete3.
To define a latency SLO, you need to consider the following factors24:
The expectations and satisfaction of your customers. You want to set a latency SLO that reflects the level of performance that your customers are happy with and willing to pay for.
The current and historical measurements of your latency. You want to set a latency SLO that is based on data and realistic for your web application.
The trade-offs and costs of improving your latency. You want to set a latency SLO that balances the benefits of faster response times with the costs of engineering work, infrastructure, and complexity.
Based on these factors, the best option for defining a latency SLO for your web application is option B.
Option B sets the latency SLO to match the current measurement of your latency, which means that you are meeting the expectations and satisfaction of your customers. Option B also sets a realistic and achievable target for your web application, which means that you do not need to invest extra resources or effort to improve your latency. Option B also aligns with the best practice of setting conservative SLOs, which means that you have some buffer or margin for error in case your latency fluctuates or degrades5.

NEW QUESTION # 166
You are developing a strategy for monitoring your Google Cloud Platform (GCP) projects in production using Stackdriver Workspaces. One of the requirements is to be able to quickly identify and react to production environment issues without false alerts from development and staging projects. You want to ensure that you adhere to the principle of least privilege when providing relevant team members with access to Stackdriver Workspaces. What should you do?

A. Choose an existing GCP production project to host the monitoring workspace. Attach the production projects to this workspace. Grant relevant team members read access to the Stackdriver Workspace.
B. Grant relevant team members the Project Viewer IAM role on all GCP production projects. Create Slackdriver workspaces inside each project.
C. Grant relevant team members read access to all GCP production projects. Create Stackdriver workspaces inside each project.
D. Create a new GCP monitoring project, and create a Stackdriver Workspace inside it. Attach the production projects to this workspace. Grant relevant team members read access to the Stackdriver Workspace.

Answer: D

NEW QUESTION # 167
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