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How to book Google Professional Cloud DevOps Engineer Exams
The registration for the Google Professional Cloud DevOps Engineer exam follows the steps given below.
- Step 1: Visit the Google Cloud Webassessor Website
- Step 2: Sign-in or sign up to your Google Cloud Webassessor account
- Step 3: Search for the exam name Google Professional Cloud DevOps Engineer
- Step 4: Take the date of the exam, choose the exam center, and make further payment using payment methods like credit/debit, etc.
After registering for the exam, prepare from the Professional Cloud DevOps Engineer exam dumps and make sure to take Professional Cloud DevOps Engineer practice exam so you know the exam format in advance. This will give you an advantage over other candidates.
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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q33-Q38):
NEW QUESTION # 33
Your product is currently deployed in three Google Cloud Platform (GCP) zones with your users divided between the zones. You can fail over from one zone to another, but it causes a 10-minute service disruption for the affected users. You typically experience a database failure once per quarter and can detect it within five minutes. You are cataloging the reliability risks of a new real-time chat feature for your product. You catalog the following information for each risk:
* Mean Time to Detect (MUD} in minutes
* Mean Time to Repair (MTTR) in minutes
* Mean Time Between Failure (MTBF) in days
* User Impact Percentage
The chat feature requires a new database system that takes twice as long to successfully fail over between zones. You want to account for the risk of the new database failing in one zone. What would be the values for the risk of database failover with the new system?
- A. MTTD:5
MTTR: 20
MTBF: 90
Impact: 50% - B. MTTD:5
MTTR: 10
MTBF: 90
Impact 50% - C. MTTD: 5
MTTR: 10
MTBF: 90
Impact: 33% - D. MTTD:5
MTTR: 20
MTBF: 90
Impact: 33%
Answer: B
NEW QUESTION # 34
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. Publish various metrics from the application directly to the Slackdriver Monitoring API, and then observe these custom metrics in Stackdriver.
- C. Install the Cloud Pub/Sub client libraries, push various metrics from the application to various topics, and then observe the aggregated metrics in Stackdriver.
- D. 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.
Answer: B
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 # 35
You manage an application that is writing logs to Stackdriver Logging. You need to give some team members the ability to export logs. What should you do?
- A. Grant the team members the IAM role of logging.configWriter on Cloud IAM.
- B. Create an Organizational Policy in Cloud IAM to allow only these members to create log exports.
- C. Configure Access Context Manager to allow only these members to export logs.
- D. Create and grant a custom IAM role with the permissions logging.sinks.list and logging.sink.get.
Answer: A
Explanation:
Explanation/Reference: https://cloud.google.com/logging/docs/access-control
NEW QUESTION # 36
Your application images are built and pushed to Google Container Registry (GCR). You want to build an automated pipeline that deploys the application when the image is updated while minimizing the development effort. What should you do?
- A. Use Cloud Build to trigger a Spinnaker pipeline.
- B. Use a custom builder in Cloud Build to trigger Jenkins pipeline.
- C. Use Cloud Pub/Sub to trigger a custom deployment service running in Google Kubernetes Engine (GKE).
- D. Use Cloud Pub/Sub to bigger a Spinnaker pipeline.
Answer: C
NEW QUESTION # 37
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. Engineering Lead
- B. Communications Lead
- C. Operations Lead
- D. Customer Impact Assessor
- E. External Customer Communications Lead
Answer: C,D
NEW QUESTION # 38
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