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Google Professional-Cloud-DevOps-Engineer Exam Overview:
| Certification Vendor: | Google Cloud |
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| Exam Name: | Google Cloud Certified - Professional Cloud DevOps Engineer Exam |
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| Exam Number: | Professional-Cloud-DevOps-Engineer |
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| Available Languages: | Portuguese, English, Spanish, Japanese |
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| Certificate Validity Period: | 2 years |
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| Passing Score: | 70% |
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| Exam Duration: | 120 minutes |
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| Related Certifications: | Google Cloud Professional Cloud Developer Google Cloud Professional Cloud Architect Google Cloud Associate Cloud Engineer |
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| Exam Price: | $200 USD |
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| Exam Format: | Multiple Select, Multiple Choice |
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| Real Exam Qty: | 50 |
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| Sample Questions: | Google Professional-Cloud-DevOps-Engineer Sample Questions |
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| Exam Way: | Online proctored exam available through Pearson VUE or online proctoring. In-person testing at Kryterion test centers also available. |
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| Pre Condition: | Recommended: Associate Cloud Engineer certification and 3+ years industry experience including 1+ years Google Cloud experience. No mandatory prerequisites required. |
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| Official Syllabus URL: | https://cloud.google.com/certification/cloud-devops-engineer |
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What is the duration, language, and format of Google Professional Cloud DevOps Engineer Exam
- Format: Multiple choices, multiple select
- Language: English
- Passing score: 80%
- Length of Examination: 120 minutes
- Number of Questions: 50-60
Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q203-Q208):
NEW QUESTION # 203
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. 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.
- B. 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.
- C. Publish various metrics from the application directly to the Slackdriver Monitoring API, and then observe these custom metrics in Stackdriver.
- D. Install the Cloud Pub/Sub client libraries, push various metrics from the application to various topics, and then observe the aggregated metrics in Stackdriver.
Answer: C
Explanation:
https://cloud.google.com/kubernetes-engine/docs/concepts/custom-and-external-metrics#custom_metrics
https://github.com/GoogleCloudPlatform/k8s-stackdriver/blob/master/custom-metrics-stackdriver-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
NEW QUESTION # 204
Your company is developing applications that are deployed on Google Kubernetes Engine (GKE). Each team manages a different application. You need to create the development and production environments for each team, while minimizing costs. Different teams should not be able to access other teams' environments. What should you do?
- A. Create one GCP Project per team. In each project, create a cluster for Development and one for Production. Grant the teams IAM access to their respective clusters.
- B. Create one GCP Project per team. In each project, create a cluster with a Kubernetes namespace for Development and one for Production. Grant the teams IAM access to their respective clusters.
- C. Create a Development and a Production GKE cluster in separate projects. In each cluster, create a Kubernetes namespace per team, and then configure Identity Aware Proxy so that each team can only access its own namespace.
- D. Create a Development and a Production GKE cluster in separate projects. In each cluster, create a Kubernetes namespace per team, and then configure Kubernetes Role-based access control (RBAC) so that each team can only access its own namespace.
Answer: D
Explanation:
Explanation
https://cloud.google.com/architecture/prep-kubernetes-engine-for-prod#roles_and_groups
NEW QUESTION # 205
You support a production service that runs on a single Compute Engine instance. You regularly need to spend time on recreating the service by deleting the crashing instance and creating a new instance based on the relevant image. You want to reduce the time spent performing manual operations while following Site Reliability Engineering principles. What should you do?
- A. Create a Stackdriver Monitoring dashboard with SMS alerts to be able to start recreating the crashed instance promptly after it has crashed.
- B. File a bug with the development team so they can find the root cause of the crashing instance.
- C. Add a Load Balancer in front of the Compute Engine instance and use health checks to determine the system status.
- D. Create a Managed Instance Group with a single instance and use health checks to determine the system status.
Answer: B
NEW QUESTION # 206
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 Trace with distributed tracing to monitor the resource utilization of the application
- B. Use Cloud Profiler with Ops Agent to monitor the CPU and memory utilization of the application
- C. Use Cloud Ops to create logs-based metrics to monitor the resource utilization of the application
- D. Use Cloud Monitoring to monitor the container CPU and memory utilization of the application
Answer: A
NEW QUESTION # 207
You are writing a postmortem for an incident that severely affected users. You want to prevent similar incidents in the future. Which two of the following sections should you include in the postmortem? (Choose two.)
- A. A list of employees responsible for causing the incident
- B. An explanation of the root cause of the incident
- C. Your opinion of the incident's severity compared to past incidents
- D. Copies of the design documents for all the services impacted by the incident
- E. A list of action items to prevent a recurrence of the incident
Answer: B,E
NEW QUESTION # 208
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