Google Professional Cloud DevOps Engineer Exam Practice Test Instant Access

Question 1

[Building and implementing CI/CD pipelines for a service]

You are configuring your CI/CD pipeline natively on Google Cloud. You want builds in a pre-production Google Kubernetes Engine (GKE) environment to be automatically load-tested before being promoted to the production GKE environment. You need to ensure that only builds that have passed this test are deployed to production. You want to follow Google-recommended practices. How should you configure this pipeline with Binary Authorization?

ACreate an attestation for the builds that pass the load test by requiring the lead quality assurance engineer to sign the attestation by using a key stored in Cloud Key Management Service (Cloud KMS).

BCreate an attestation for the builds that pass the load test by using a private key stored in Cloud Key Management Service (Cloud KMS) authenticated through Workload Identity.

CCreate an attestation for the builds that pass the load test by using a private key stored in Cloud Key Management Service (Cloud KMS) with a service account JSON key stored as a Kubernetes Secret.

DCreate an attestation for the builds that pass the load test by requiring the lead quality assurance engineer to sign the attestation by using their personal private key.

Answer : B

Question 2

[Applying Site Reliability Engineering (SRE) principles to a service]

You support a popular mobile game application deployed on Google Kubernetes Engine (GKE) across several Google Cloud regions. Each region has multiple Kubernetes clusters. You receive a report that none of the users in a specific region can connect to the application. You want to resolve the incident while following Site Reliability Engineering practices. What should you do first?

AReroute the user traffic from the affected region to other regions that don't report issues.

BUse Stackdriver Monitoring to check for a spike in CPU or memory usage for the affected region.

CAdd an extra node pool that consists of high memory and high CPU machine type instances to the cluster.

DUse Stackdriver Logging to filter on the clusters in the affected region, and inspect error messages in the logs.

Answer : A

Question 3

[Building and implementing CI/CD pipelines for a service]

You recently created a Cloud Build pipeline for deploying Terraform code stored in a GitHub repository. You make Terraform code changes in short-lived branches and sometimes use tags during development. You tag releases with a semantic version when they are ready for deployment. You require your pipeline to apply the Terraform code whenever there is a new release, and you need to minimize operational overhead. What should you do?

ACreate a build trigger with the * branch pattern.

BCreate a build trigger with the \d+\.\d+\.\d* tag pattern.

CCreate a build trigger with the .* tag pattern.

DCreate a build trigger with the \d*\.\d+\.\d* branch pattern.

Answer : B

Question 4

[Optimizing service performance]

Your company runs an ecommerce website built with JVM-based applications and microservice architecture in Google Kubernetes Engine (GKE) The application load increases during the day and decreases during the night Your operations team has configured the application to run enough Pods to handle the evening peak load You want to automate scaling by only running enough Pods and nodes for the load What should you do?

AConfigure the Vertical Pod Autoscaler but keep the node pool size static

BConfigure the Vertical Pod Autoscaler and enable the cluster autoscaler

CConfigure the Horizontal Pod Autoscaler but keep the node pool size static

DConfigure the Horizontal Pod Autoscaler and enable the cluster autoscaler

Answer : D

Question 5

[Optimizing service performance]

You are the Site Reliability Engineer responsible for managing your company's data services and products. You regularly navigate operational challenges, such as unpredictable data volume and high cost, with your company's data ingestion processes. You recently learned that a new data ingestion product will be developed in Google Cloud. You need to collaborate with the product development team to provide operational input on the new product. What should you do?

ADeploy the prototype product in a test environment, run a load test, and share the results with the product development team.

BWhen the initial product version passes the quality assurance phase and compliance assessments, deploy the product to a staging environment. Share error logs and performancemetrics with the product development team.

CWhen the new product is used by at least one internal customer in production, share error logs and monitoring metrics with the product development team.

DReview the design of the product with the product development team to provide feedback early in the design phase.

Answer : D

Question 6

[Applying Site Reliability Engineering (SRE) principles to a service]

Your organization wants to implement Site Reliability Engineering (SRE) culture and principles. Recently, a service that you support had a limited outage. A manager on another team asks you to provide a formal explanation of what happened so they can action remediations. What should you do?

ADevelop a postmortem that includes the root causes, resolution, lessons learned, and a prioritized list of action items. Share it with the manager only.

BDevelop a postmortem that includes the root causes, resolution, lessons learned, and a prioritized list of action items. Share it on the engineering organization's document portal.

CDevelop a postmortem that includes the root causes, resolution, lessons learned, the list of people responsible, and a list of action items for each person. Share it with the manager only.

DDevelop a postmortem that includes the root causes, resolution, lessons learned, the list of people responsible, and a list of action items for each person. Share it on the engineering organization's document portal.

Answer : B

Question 7

[Building and implementing service monitoring strategies]

Your Cloud Run application writes unstructured logs as text strings to Cloud Logging. You want to convert the unstructured logs to JSON-based structured logs. What should you do?

AA Install a Fluent Bit sidecar container, and use a JSON parser.

BInstall the log agent in the Cloud Run container image, and use the log agent to forward logs to Cloud Logging.

CConfigure the log agent to convert log text payload to JSON payload.

DModify the application to use Cloud Logging software development kit (SDK), and send log entries with a jsonPay10ad field.

Answer : D