Free Access to Google.Professional-Cloud-DevOps-Engineer.v2025-01-09.q159 with Valid Practice Test (Page 22)

Question 101

Your company follows Site Reliability Engineering principles. You are writing a postmortem for an incident, triggered by a software change, that severely affected users. You want to prevent severe incidents from happening in the future. What should you do?

A.Identify engineers responsible for the incident and escalate to their senior management.
B.Ensure that test cases that catch errors of this type are run successfully before new software releases.
C.Follow up with the employees who reviewed the changes and prescribe practices they should follow in the future.
D.Design a policy that will require on-call teams to immediately call engineers and management to discuss a plan of action if an incident occurs.

Question 102

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.Create a Cloud Storage bucket and develop your application to send logs directly to the bucket.
D.Develop an App Engine application that pulls the logs from Stackdriver and saves them in BigQuery.

Question 103

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

Correct Answer: B

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

Question 104

Your application runs on Google Cloud Platform (GCP). You need to implement Jenkins for deploying application releases to GCP. You want to streamline the release process, lower operational toil, and keep user data secure. What should you do?

A.Implement Jenkins on Kubernetes on-premises
B.Implement Jenkins on Google Cloud Functions.
C.Implement Jenkins on Compute Engine virtual machines.
D.Implement Jenkins on local workstations.

Question 105

You support a high-traffic web application and want to ensure that the home page loads in a timely manner. As a first step, you decide to implement a Service Level Indicator (SLI) to represent home page request latency with an acceptable page load time set to 100 ms. What is the Google-recommended way of calculating this SLI?

A.Bucketize the request latencies into ranges, and then compute the median and 90th percentiles.
B.Buckelize Ihe request latencies into ranges, and then compute the percentile at 100 ms.
C.Count the number of home page requests that load in under 100 ms, and then divide by the total number of home page requests.
D.Count the number of home page requests that load in under 100 ms. and then divide by the total number of all web application requests.

Question 101

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Question 103

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Question 105

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