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New Cloud DevOps Engineer Professional-Cloud-DevOps-Engineer Exam Practice Questions

Total 162 Questions

Last Updated On: 20-Nov-2024

Question # 1

Your application images are built using Cloud Build and pushed to Google Container Registry (GCR). You want to be able to specify a particular version of your application for deployment based on the release version tagged in source control. What should you do when you push the image?
A. Reference the image digest in the source control tag.
B. Supply the source control tag as a parameter within the image name.
C. Use Cloud Build to include the release version tag in the application image.
D. Use GCR digest versioning to match the image to the tag in source control.

Supply the source control tag as a parameter within the image name.

Explanation: https://cloud.google.com/container-registry/docs/pushing-and-pulling

Question # 2

Your team is designing a new application for deployment into Google Kubernetes Engine (GKE). You need to set up monitoring to collect and aggregate various application-level metrics in a centralized location. You want to use Google Cloud Platform services while minimizing the amount of work required to set up monitoring. What should you do?
A. Publish various metrics from the application directly to the Slackdriver Monitoring API, and then observe these custom metrics in Stackdriver.
B. Install the Cloud Pub/Sub client libraries, push various metrics from the application to various topics, and then observe the aggregated metrics in Stackdriver.
C. Install the OpenTelemetry client libraries in the application, configure Stackdriver as the export destination for the metrics, and then observe the application's metrics in Stackdriver.
D. Emit all metrics in the form of application-specific log messages, pass these messages from the containers to the Stackdriver logging collector, and then observe metrics in Stackdriver.

Publish various metrics from the application directly to the Slackdriver Monitoring API,
and then observe these custom metrics in Stackdriver.

Explanation: https://cloud.google.com/kubernetes-engine/docs/concepts/custom-andexternal-
metrics#custom_metrics
https://github.com/GoogleCloudPlatform/k8s-stackdriver/blob/master/custom-metricsstackdriver-
adapter/README.md
Your application can report a custom metric to Cloud Monitoring. You can configure
Kubernetes to respond to these metrics and scale your workload automatically. For
example, you can scale your application based on metrics such as queries per second,
writes per second, network performance, latency when communicating with a different
application, or other metrics that make sense for your workload.
https://cloud.google.com/kubernetes-engine/docs/concepts/custom-and-external-metrics

Question # 3

You support a web application that runs on App Engine and uses CloudSQL and Cloud Storage for data storage. After a short spike in website traffic, you notice a big increase in latency for all user requests, increase in CPU use, and the number of processes running the application. Initial troubleshooting reveals: After the initial spike in traffic, load levels returned to normal but users still experience high latency. Requests for content from the CloudSQL database and images from Cloud Storage show the same high latency No changes were made to the website around the time the latency increased. There is no increase in the number of errors to the users. You expect another spike in website traffic in the coming days and want to make sure users don’t experience latency. What should you do?
A. the GCS buckets to Multi-Regional.
B. Enable high availability on the CloudSQL instances.
C. Move the application from App Engine to Compute Engine.
D. Modify the App Engine configuration to have additional idle instances.

Enable high availability on the CloudSQL instances.

Question # 4

You are deploying an application that needs to access sensitive information. You need to ensure that this information is encrypted and the risk of exposure is minimal if a breach occurs. What should you do?
A. Store the encryption keys in Cloud Key Management Service (KMS) and rotate the keys frequently
B. Inject the secret at the time of instance creation via an encrypted configuration management system.
C. Integrate the application with a Single sign-on (SSO) system and do not expose secrets to the application
D. Leverage a continuous build pipeline that produces multiple versions of the secret for each instance of the application.

Store the encryption keys in Cloud Key Management Service (KMS) and rotate the keys
frequently

Question # 5

Your company follows Site Reliability Engineering practices. You are the Incident Commander for a new. customer-impacting incident. You need to immediately assign two incident management roles to assist you in an effective incident response. What roles should you assign? Choose 2 answers
A. Operations Lead
B. Engineering Lead
C. Communications Lead
D. Customer Impact Assessor
E. External Customer Communications Lead

Operations Lead

Communications Lead

Explanation: https://sre.google/workbook/incident-response/ "The main roles in incident response are the Incident Commander (IC), Communications
Lead (CL), and Operations or Ops Lead (OL)."

Question # 6

You need to define Service Level Objectives (SLOs) for a high-traffic multi-region web application. Customers expect the application to always be available and have fast response times. Customers are currently happy with the application performance and availability. Based on current measurement, you observe that the 90th percentile of latency is 120ms and the 95th percentile of latency is 275ms over a 28-day window. What latency SLO would you recommend to the team to publish?
A. 90th percentile – 100ms 95th percentile – 250ms
B. 90th percentile – 120ms 95th percentile – 275ms
C. 90th percentile – 150ms 95th percentile – 300ms
D. 90th percentile – 250ms 95th percentile – 400ms

90th percentile – 120ms
95th percentile – 275ms

Question # 7

You have migrated an e-commerce application to Google Cloud Platform (GCP). You want to prepare the application for the upcoming busy season. What should you do first to prepare for the busy season?
A. Load teat the application to profile its performance for scaling.
B. Enable AutoScaling on the production clusters, in case there is growth.
C. Pre-provision double the compute power used last season, expecting growth.
D. Create a runbook on inflating the disaster recovery (DR) environment if there is growth

Enable AutoScaling on the production clusters, in case there is growth.

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