BEST PROFESSIONAL-CLOUD-DEVOPS-ENGINEER VALID EXAM TEST ALONG WITH REAL QUESTIONS

Best Professional-Cloud-DevOps-Engineer Valid Exam Test Along with Real Questions

Best Professional-Cloud-DevOps-Engineer Valid Exam Test Along with Real Questions

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The Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification is ideal for individuals with a strong background in IT operations, software development, and automation, who are looking to specialize in cloud-based DevOps engineering. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification exam covers a wide range of topics, including cloud architecture, CI/CD, containerization, security, and monitoring, among others.

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q56-Q61):

NEW QUESTION # 56
You are deploying a Cloud Build job that deploys Terraform code when a Git branch is updated. While testing, you noticed that the job fails. You see the following error in the build logs:
Initializing the backend. ..
Error: Failed to get existing workspaces : querying Cloud Storage failed: googleapi : Error
403
You need to resolve the issue by following Google-recommended practices. What should you do?

  • A. Create a storage bucket with the name specified in the Terraform configuration.
  • B. Change the Terraform code to use local state.
  • C. Grant the roles/ storage. objectAdmin Identity and Access Management (IAM) role to the Cloud Build service account on the state file bucket.
  • D. Grant the roles/ owner Identity and Access Management (IAM) role to the Cloud Build service account on the project.

Answer: C

Explanation:
The correct answer is D. Grant the roles/storage.objectAdmin Identity and Access Management (IAM) role to the Cloud Build service account on the state file bucket.
According to the Google Cloud documentation, Cloud Build is a service that executes your builds on Google Cloud Platform infrastructure1. Cloud Build uses a service account to execute your build steps and access resources, such as Cloud Storage buckets2. Terraform is an open-source tool that allows you to define and provision infrastructure as code3. Terraform uses a state file to store and track the state of your infrastructure4. You can configure Terraform to use a Cloud Storage bucket as a backend to store and share the state file across multiple users or environments5.
The error message indicates that Cloud Build failed to access the Cloud Storage bucket that contains the Terraform state file. This is likely because the Cloud Build service account does not have the necessary permissions to read and write objects in the bucket. To resolve this issue, you need to grant the roles/storage.
objectAdmin IAM role to the Cloud Build service account on the state file bucket. This role allows the service account to create, delete, and manage objects in the bucket6. You can use the gcloud command-line tool or the Google Cloud Console to grant this role.
The other options are incorrect because they do not follow Google-recommended practices. Option A is incorrect because it changes the Terraform code to use local state, which is not recommended for production or collaborative environments, as it can cause conflicts, data loss, or inconsistency. Option B is incorrect because it creates a new storage bucket with the name specified in the Terraform configuration, but it does not grant any permissions to the Cloud Build service account on the new bucket. Option C is incorrect because it grants the roles/owner IAM role to the Cloud Build service account on the project, which is too broad and violates the principle of least privilege. The roles/owner role grants full access to all resources in the project, which can pose a security risk if misused or compromised.


NEW QUESTION # 57
You support an application that stores product information in cached memory. For every cache miss, an entry is logged in Stackdriver Logging. You want to visualize how often a cache miss happens over time. What should you do?

  • A. Create a logs-based metric in Stackdriver Logging and a dashboard for that metric in Stackdriver Monitoring.
  • B. Link Stackdriver Logging as a source in Google Data Studio. Filler (he logs on the cache misses.
  • C. Configure Stackdriver Profiler to identify and visualize when the cache misses occur based on the logs.
  • D. Configure BigOuery as a sink for Stackdriver Logging. Create a scheduled query to filter the cache miss logs and write them to a separate table

Answer: A

Explanation:
Explanation
https://cloud.google.com/logging/docs/logs-based-metrics#counter-metric


NEW QUESTION # 58
Your company runs services by using multiple globally distributed Google Kubernetes Engine (GKE) clusters Your operations team has set up workload monitoring that uses Prometheus-based tooling for metrics alerts: and generating dashboards This setup does not provide a method to view metrics globally across all clusters You need to implement a scalable solution to support global Prometheus querying and minimize management overhead What should you do?

  • A. Configure Prometheus hierarchical federation for centralized data access
  • B. Configure workload metrics within Cloud Operations for GKE
  • C. Configure Google Cloud Managed Service for Prometheus
  • D. Configure Prometheus cross-service federation for centralized data access

Answer: C


NEW QUESTION # 59
You support a high-traffic web application with a microservice architecture. The home page of the application displays multiple widgets containing content such as the current weather, stock prices, and news headlines.
The main serving thread makes a call to a dedicated microservice for each widget and then lays out the homepage for the user. The microservices occasionally fail; when that happens, theserving thread serves the homepage with some missing content. Users of the application are unhappy if this degraded mode occurs too frequently, but they would rather have some content served instead of no content at all. You want to set a Service Level Objective (SLO) to ensure that the user experience does not degrade too much. What Service Level Indicator {SLI) should you use to measure this?

  • A. A latency SLI: the ratio of microservice calls that complete in under 100 ms to the total number of microservice calls
  • B. An availability SLI: the ratio of healthy microservices to the total number of microservices
  • C. A quality SLI: the ratio of non-degraded responses to total responses
  • D. A freshness SLI: the proportion of widgets that have been updated within the last 10 minutes

Answer: B

Explanation:
https://cloud.google.com/blog/products/gcp/available-or-not-that-is-the-question-cre-life-lessons


NEW QUESTION # 60
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 - 120ms
    95th percentile - 275ms
  • B. 90th percentile - 150ms
    95th percentile - 300ms
  • C. 90th percentile - 100ms
    95th percentile - 250ms
  • D. 90th percentile - 250ms
    95th percentile - 400ms

Answer: B

Explanation:
https://sre.google/sre-book/service-level-objectives/


NEW QUESTION # 61
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