Three Formats Of Latest Google Professional-Cloud-DevOps-Engineer Exam Questions

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The Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification exam consists of multiple-choice and scenario-based questions that test the candidate's practical experience and knowledge of DevOps practices on the Google Cloud Platform. Professional-Cloud-DevOps-Engineer Exam is available in several languages, including English, Japanese, and Spanish, and is delivered through a secure online platform.

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q60-Q65):

NEW QUESTION # 60
You are reviewing your deployment pipeline in Google Cloud Deploy You must reduce toil in the pipeline and you want to minimize the amount of time it takes to complete an end-to-end deployment What should you do?
Choose 2 answers

A. Create a trigger to notify the required team to complete the next step when manual intervention is required
B. Use a script to automate the creation of the deployment pipeline in Google Cloud Deploy
C. Divide the automation steps into smaller tasks
D. Add more engineers to finish the manual steps.
E. Automate promotion approvals from the development environment to the test environment

Answer: A,E

Explanation:
The best options for reducing toil in the pipeline and minimizing the amount of time it takes to complete an end-to-end deployment are to create a trigger to notify the required team to complete the next step when manual intervention is required and to automate promotion approvals from the development environment to the test environment. A trigger is a resource that initiates a deployment when an event occurs, such as a code change, a schedule, or a manual request. You can create a trigger to notify the required team to complete the next step when manual intervention is required by using Cloud Build or Cloud Functions. This way, you can reduce the waiting time and human errors in the pipeline. A promotion approval is a process that allows you to approve or reject a deployment from one environment to another, such as from development to test. You can automate promotion approvals from the development environment to the test environment by using Google Cloud Deploy or Cloud Build. This way, you can speed up the deployment process and avoid manual steps.

NEW QUESTION # 61
You are configuring Cloud Logging for a new application that runs on a Compute Engine instance with a public IP address. A user-managed service account is attached to the instance. You confirmed that the necessary agents are running on the instance but you cannot see any log entries from the instance in Cloud Logging. You want to resolve the issue by following Google-recommended practices. What should you do?

A. Enable Private Google Access on the subnet that the instance is in.
B. Update the instance to use the default Compute Engine service account.
C. Add the Logs Writer role to the service account.
D. Export the service account key and configure the agents to use the key.

Answer: C

NEW QUESTION # 62
You manage an application that runs in Google Kubernetes Engine (GKE) and uses the blue/green deployment methodology Extracts of the Kubernetes manifests are shown below:

The Deployment app-green was updated to use the new version of the application During post-deployment monitoring you notice that the majority of user requests are failing You did not observe this behavior in the testing environment You need to mitigate the incident impact on users and enable the developers to troubleshoot the issue What should you do?

A. Change the selector on the Service app-2vc to app: my-app.
B. Change the selector on the Service app-svc to app: my-app, version: blue
C. Update the Deployment app-blue to use the new version of the application
D. Update the Deployment ape-green to use the previous version of the application

Answer: A

Explanation:
The best option for mitigating the incident impact on users and enabling the developers to troubleshoot the issue is to change the selector on the Service app-svc to app: my-app, version: blue. A Service is a resource that defines how to access a set of Pods. A selector is a field that specifies which Pods are selected by the Service. By changing the selector on the Service app-svc to app: my-app, version: blue, you can ensure that the Service only routes traffic to the Pods that have both labels app: my-app and version: blue. These Pods belong to the Deployment app-blue, which uses the previous version of the application. This way, you can mitigate the incident impact on users by switching back to the working version of the application. You can also enable the developers to troubleshoot the issue with the new version of the application in the Deployment app-green without affecting users.

NEW QUESTION # 63
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 an availability metric for a request-based method of evaluation.
B. Select a latency metric for a request-based method of evaluation.
C. Select a latency metric for a window-based method of evaluation.
D. Select an availability metric for a window-based method Of evaluation.

Answer: B

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 thecloud.
googleapis.com/http/server/response_latenciesmetric 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.

NEW QUESTION # 64
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 - 190 ms
95th percentile - 330 ms
B. 90th percentile - 300 ms
95th percentile - 450 ms
C. 90th percentile - 150 ms
95th percentile - 290 ms
D. 90th percentile - 160 ms
95th percentile - 300 ms

Answer: D

Explanation:
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 # 65
......

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Three Formats Of Latest Google Professional-Cloud-DevOps-Engineer Exam Questions

New Professional-Cloud-DevOps-Engineer Exam Guide - Latest Professional-Cloud-DevOps-Engineer Exam Questions Vce

Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q60-Q65):

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