Google GOOGLE-PRO-DEVOPS Practice Questions

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Question 181

You need to run a business-critical workload on a fixed set of Compute Engine instances for several months. The workload is stable with the exact amount of resources allocated to it. You want to lower the costs for this workload without any performance implications. What should you do?

A. Purchase Committed Use Discounts.

B. Migrate the instances to a Managed Instance Group.

C. Convert the instances to preemptible virtual machines.

D. Create an Unmanaged Instance Group for the instances used to run the workload.

Question 182

Your organization recently adopted a container-based workflow for application development. Your team develops numerous applications that are deployed continuously through an automated build pipeline to a Kubernetes cluster in the production environment. The security auditor is concerned that developers or operators could circumvent automated testing and push code changes to production without approval. What should you do to enforce approvals?

A. Configure the build system with protected branches that require pull request approval.

B. Use an Admission Controller to verify that incoming requests originate from approved sources.

C. Leverage Kubernetes Role-Based Access Control (RBAC) to restrict access to only approved users.

D. Enable binary authorization inside the Kubernetes cluster and configure the build pipeline as an attestor.

Question 183

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 percentile at 100 ms.

B. Bucketize the request latencies into ranges, and then compute the median and 90th percentiles.

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 request that load in under 100 ms, and then divide by the total number of all web application requests.

Question 184

You encounter a large number of outages in the production systems you support. You receive alerts for all the outages that wake you up at night. The alerts are due to unhealthy systems that are automatically restarted within a minute. You want to set up a process that would prevent staff burnout while following Site Reliability Engineering practices. What should you do?

A. Eliminate unactionable alerts.

B. Create an incident report for each of the alerts.

C. Distribute the alerts to engineers in different time zones.

D. Redefine the related Service Level Objective so that the error budget is not exhausted.

Question 185

Your application images are built and pushed to Google Container Registry (GCR). You want to build an automated pipeline that deploys the application when the image is updated while minimizing the development effort. What should you do?

A. Use Cloud Build to trigger a Spinnaker pipeline.

B. Use Cloud Pub/Sub to trigger a Spinnaker pipeline.

C. Use a custom builder in Cloud Build to trigger Jenkins pipeline.

D. Use Cloud Pub/Sub to trigger a custom deployment service running in Google Kubernetes Engine (GKE).

Question 186

As the DevOps Engineer in charge of defining Infrastructure, it's your responsibility to create and modify the Terraform templates. To prevent any conflicts between you and the two new engineers working on the same code, you'll need to establish a process, and implement a tool to ensure the latest version captures all updates. What would be the best approach for this?

* Store your code in a Git-based version control system.

* Establish a process that allows developers to merge their own changes at the end of each day.

* Package and upload code to a versioned Cloud Storage basket as the latest master version.

* Store your code as text files in Google Drive in a defined folder structure that organizes the files.

* At the end of each day, confirm that all changes have been captured in the files within the folder structure.

* Rename the folder structure with a predefined naming convention that increments the version

* Store your code in a Git-based version control system.

* Establish a process that includes code reviews by peers and unit testing to ensure integrity and functionality before integration of code.

* Establish a process where the fully integrated code in the repository becomes the latest master version.

* Store your code as text files in Google Drive in a defined folder structure that organizes the files.

* At the end of each day, confirm that all changes have been captured in the files within the folder structure and create a new .zip archive with a predefined naming convention.

* Upload the .zip archive to a versioned Cloud Storage bucket and accept it as the latest version.

Question 187

Storing Virtual Machine (VM) utilization logs in Stackdriver, a Google Cloud Platform solution, you need to provide a shareable, interactive dashboard reflecting real-time updates and summarized on a quarterly basis. What is the best way to do this?

1. Export VM utilization logs from Stackdriver to Cloud Pub/Sub.

2. From Cloud Pub/Sub, send the logs to a Security Information and Event Management (SIEM) system.

3. Build the dashboards in the SIEM system and share with your stakeholders.

1. Export VM utilization logs from Stackdriver to BigQuery.

2. Create a dashboard in Data Studio.

3. Share the dashboard with your stakeholders.

1. Export VM utilization logs from Stackdriver to a Cloud Storage bucket.

2. Enable the Cloud Storage API to retrieve the logs programmatically.

3. Build a custom data visualization application.

4. Display the retrieved logs in a custom dashboard.

1. Export VM utilization logs from Stackdriver to BigQuery.

2. From BigQuery, export the logs to a CSV file.

3. Import the CSV file into Google Sheets.

4. Build a dashboard in Google Sheets and share it with your stakeholders.

Question 188

Supporting an application running on App Engine that is globally accessed from various device types, you need to know the number of connections. Utilizing Stackdriver Monitoring for App Engine, what metric should you use to get this information?

tcp_ssl_proxy/open_connections

tcp_ssl_proxy/established_connections

flex/connections/current

flex/instance/connections/current

Question 189

Adopting Site Reliability Engineering practices, what should you do to resolve the issue of your CI/CD pipeline, using Cloud Build for building new Docker images and Git for code versioning, not producing any artifacts after making a change in the YAML configuration?

Transfer the configuration YAML file to Cloud Storage and make use of Error Reporting to locate and address the problem.

Execute a Git compare between the current and former Cloud Build Configuration files to locate and fix the bug.

Modify the CI pipeline to push the artifacts to Container Registry in place of Docker Hub.

Turn off the CI pipeline and switch to constructing and pushing the artifacts manually.

Question 190

To visualize the frequency of cache misses for an application that stores product information in cached memory, one should use Stackdriver Logging to log each miss. By doing this, it is possible to see how often a cache miss occurs over time. What method is best for visualizing this data?

Connect Stackdriver Logging to Google Data Studio. Separate the logs according to cache misses.

Set up BigQuery as a sink for Stackdriver Logging. Develop a scheduled query to filter the cache miss logs and write them to a different table.

Establish Stackdriver Profiler to detect and illustrate when the cache misses occur based on the logs.

Create a logs-based metric in Stackdriver Logging and a dashboard for that metric in Stackdriver Monitoring.

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