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Itcertkr는 자격증 응시자에게Google Professional-Cloud-DevOps-Engineer 시험 준비를 위한 현재 그리고 가장 최근의 자료들을 제공하는 이 산업 영역의 리더입니다. Itcertkr는Google Professional-Cloud-DevOps-Engineer덤프를 시험문제변경에 따라 계속 갱신하여 고객님께서 받은 것이Google Professional-Cloud-DevOps-Engineer 시험의 가장 최신 기출문제임을 보증해드립니다.

Google Professional-Cloud-DevOps-Engineer는 클라우드 기반 DevOps 엔지니어링 전문가의 기술과 지식을 검증하기 위해 설계된 자격증 시험입니다. 이 시험은 Google Cloud Platform (GCP)에서 애플리케이션을 관리하고 배포하는 경험이 있는 개인을 대상으로 합니다. 이 자격증 시험은 GCP 서비스 및 도구를 사용하여 견고한 클라우드 기반 DevOps 환경을 설계, 개발 및 관리할 수 있는 능력을 평가합니다.

최신 Cloud DevOps Engineer Professional-Cloud-DevOps-Engineer 무료샘플문제 (Q94-Q99):

질문 # 94
You are building an application that runs on Cloud Run The application needs to access a third-party API by using an API key You need to determine a secure way to store and use the API key in your application by following Google-recommended practices What should you do?

A. Save the API key in Secret Manager as a secret Reference the secret as an environment variable in the Cloud Run application
B. Save the API key in Cloud Key Management Service (Cloud KMS) as a key Reference the key as an environment variable in the Cloud Run application
C. Save the API key in Secret Manager as a secret key Mount the secret key under the /sys/api_key directory and decrypt the key in the Cloud Run application
D. Encrypt the API key by using Cloud Key Management Service (Cloud KMS) and pass the key to Cloud Run as an environment variable Decrypt and use the key in Cloud Run

정답：A

질문 # 95
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. Use an Admission Controller to verify that incoming requests originate from approved sources.
B. Enable binary authorization inside the Kubernetes cluster and configure the build pipeline as an attestor.
C. Configure the build system with protected branches that require pull request approval.
D. Leverage Kubernetes Role-Based Access Control (RBAC) to restrict access to only approved users.

정답：B

질문 # 96
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?

A. Use Stackdriver Monitoring to check for a spike in CPU or memory usage for the affected region.
B. Use Stackdriver Logging to filter on the clusters in the affected region, and inspect error messages in the logs.
C. Reroute the user traffic from the affected region to other regions that don't report issues.
D. Add an extra node pool that consists of high memory and high CPU machine type instances to the cluster.

정답：C

설명：
Explanation
Google always aims to first stop the impact of an incident, and then find the root cause (unless the root cause just happens to be identified early on).

질문 # 97
Your team has recently deployed an NGINX-based application into Google Kubernetes Engine (GKE) and has exposed it to the public via an HTTP Google Cloud Load Balancer (GCLB) ingress. You want to scale the deployment of the application's frontend using an appropriate Service Level Indicator (SLI). What should you do?

A. Configure the horizontal pod autoscaler to use the average response time from the Liveness and Readiness probes.
B. Install the Stackdriver custom metrics adapter and configure a horizontal pod autoscaler to use the number of requests provided by the GCLB.
C. Configure the vertical pod autoscaler in GKE and enable the cluster autoscaler to scale the cluster as pods expand.
D. Expose the NGINX stats endpoint and configure the horizontal pod autoscaler to use the request metrics exposed by the NGINX deployment.

정답：B

질문 # 98
You built a serverless application by using Cloud Run and deployed the application to your production environment You want to identify the resource utilization of the application for cost optimization What should you do?

A. Use Cloud Profiler with Ops Agent to monitor the CPU and memory utilization of the application
B. Use Cloud Monitoring to monitor the container CPU and memory utilization of the application
C. Use Cloud Trace with distributed tracing to monitor the resource utilization of the application
D. Use Cloud Ops to create logs-based metrics to monitor the resource utilization of the application

정답：C

설명：
Explanation
The best option for giving developers the ability to test the latest revisions of the service before the service is exposed to customers is to run the gcloud run deploy booking-engine --no-traffic --tag dev command and use the https://dev----booking-engine-abcdef.a.run.app URL for testing. The gcloud run deploy command is a command that deploys a new revision of your service or updates an existing service. By using the --no-traffic flag, you can prevent any traffic from being sent to the new revision. By using the --tag flag, you can assign a tag to the new revision, such as dev. This way, you can create a new revision of your service without affecting your customers. You can also use the tag-based URL (e.g., https://dev----booking-engine-abcdef.a.run.app) to access and test the new revision.

질문 # 99
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