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NEW QUESTION 24
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 bigger 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).

Answer: D

NEW QUESTION 25
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 the production environment. A recent security audit alerted your team that the code pushed to production could contain vulnerabilities and that the existing tooling around virtual machine (VM) vulnerabilities no longer applies to the containerized environment. You need to ensure the security and patch level of all code running through the pipeline. What should you do?

  • A. Set up Container Analysis to scan and report Common Vulnerabilities and Exposures.
  • B. Reconfigure the existing operating system vulnerability software to exist inside the container.
  • C. Implement static code analysis tooling against the Docker files used to create the containers.
  • D. Configure the containers in the build pipeline to always update themselves before release.

Answer: A

NEW QUESTION 26
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. 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.
  • 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. Buckelize Ihe request latencies into ranges, and then compute the percentile at 100 ms.

Answer: C

NEW QUESTION 27
You support a Node.js application running on Google Kubernetes Engine (GKE) in production. The application makes several HTTP requests to dependent applications. You want to anticipate which dependent applications might cause performance issues. What should you do?

  • A. Use Stackdriver Debugger to review the execution of logic within each application to instrument all applications.
  • B. Instrument all applications with Stackdriver Profiler.
  • C. Modify the Node.js application to log HTTP request and response times to dependent applications. Use Stackdriver Logging to find dependent applications that are performing poorly.
  • D. Instrument all applications with Stackdriver Trace and review inter-service HTTP requests.

Answer: D

NEW QUESTION 28
You have a set of applications running on a Google Kubernetes Engine (GKE) cluster, and you are using Stackdriver Kubernetes Engine Monitoring. You are bringing a new containerized application required by your company into production. This application is written by a third party and cannot be modified or reconfigured. The application writes its log information to /var/log/app_messages.log, and you want to send these log entries to Stackdriver Logging. What should you do?

  • A. Deploy a Fluentd daemonset to GKE. Then create a customized input and output configuration to tail the log file in the application's pods and write to Slackdriver Logging.
  • B. Write a script to tail the log file within the pod and write entries to standard output. Run the script as a sidecar container with the application's pod. Configure a shared volume between the containers to allow the script to have read access to /var/log in the application container.
  • C. Install Kubernetes on Google Compute Engine (GCE and redeploy your applications. Then customize the built-in Stackdriver Logging configuration to tail the log file in the application's pods and write to Stackdriver Logging.
  • D. Use the default Stackdriver Kubernetes Engine Monitoring agent configuration.

Answer: A

Explanation:
https://cloud.google.com/architecture/customizing-stackdriver-logs-fluentd Besides the list of default logs that the Logging agent streams by default, you can customize the Logging agent to send additional logs to Logging or to adjust agent settings by adding input configurations. The configuration definitions in these sections apply to the fluent-plugin-google-cloud output plugin only and specify how logs are transformed and ingested into Cloud Logging. https://cloud.google.com/logging/docs/agent/logging/configuration#configure

NEW QUESTION 29
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