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Google Professional-Cloud-DevOps-Engineer Dumps Vce & Professional-Cloud-DevOps-Engineer Exam Torrent

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q41-Q46):

NEW QUESTION # 41
You are managing the production deployment to a set of Google Kubernetes Engine (GKE) clusters. You want to make sure only images which are successfully built by your trusted CI/CD pipeline are deployed to production. What should you do?

A. Enable Vulnerability Analysis on the Container Registry.
B. Set up the Kubernetes Engine clusters as private clusters.
C. Set up the Kubernetes Engine clusters with Binary Authorization.
D. Enable Cloud Security Scanner on the clusters.

Answer: C

NEW QUESTION # 42
You support a Node.js application running on Google Kubernetes Engine (GKE) in production. The application makes several HTTP requests to dependent applications. You want to anticipate which dependent applications might cause performance issues. What should you do?

A. Instrument all applications with Stackdriver Profiler.
B. Modify the Node.js application to log HTTP request and response times to dependent applications. Use Stackdriver Logging to find dependent applications that are performing poorly.
C. Use Stackdriver Debugger to review the execution of logic within each application to instrument all applications.
D. Instrument all applications with Stackdriver Trace and review inter-service HTTP requests.

Answer: D

NEW QUESTION # 43
You are developing the deployment and testing strategies for your CI/CD pipeline in Google Cloud You must be able to
* Reduce the complexity of release deployments and minimize the duration of deployment rollbacks
* Test real production traffic with a gradual increase in the number of affected users You want to select a deployment and testing strategy that meets your requirements What should you do?

A. Blue/green deployment and canary testing
B. Rolling update deployment and shadow testing
C. Recreate deployment and canary testing
D. Rolling update deployment and A/B testing

Answer: A

Explanation:
Explanation
The best option for selecting a deployment and testing strategy that meets your requirements is to use blue/green deployment and canary testing. A blue/green deployment is a deployment strategy that involves creating two identical environments, one running the current version of the application (blue) and one running the new version of the application (green). The traffic is switched from blue to green after testing the new version, and if any issues are discovered, the traffic can be switched back to blue instantly. This way, you can reduce the complexity of release deployments and minimize the duration of deployment rollbacks. A canary testing is a testing strategy that involves releasing a new version of an application to a subset of users or servers and monitoring its performance and reliability. This way, you can test real production traffic with a gradual increase in the number of affected users.

NEW QUESTION # 44
You support an application running on App Engine. The application is used globally and accessed from various device types. You want to know the number of connections. You are using Stackdriver Monitoring for App Engine. What metric should you use?

A. flex/instance/connections/current
B. tcp_ssl_proxy/new_connections
C. tcp_ssl_proxy/open_connections
D. flex/connections/current

Answer: D

Explanation:
Explanation
https://cloud.google.com/monitoring/api/metrics_gcp#gcp-appengine

NEW QUESTION # 45
You are the on-call Site Reliability Engineer for a microservice that is deployed to a Google Kubernetes Engine (GKE) Autopilot cluster. Your company runs an online store that publishes order messages to Pub/Sub and a microservice receives these messages and updates stock information in the warehousing system. A sales event caused an increase in orders, and the stock information is not being updated quickly enough. This is causing a large number of orders to be accepted for products that are out of stock You check the metrics for the microservice and compare them to typical levels.

You need to ensure that the warehouse system accurately reflects product inventory at the time orders are placed and minimize the impact on customers What should you do?

A. Increase the Pod CPU and memory limits
B. Add a virtual queue to the online store that allows typical traffic levels
C. Decrease the acknowledgment deadline on the subscription
D. Increase the number of Pod replicas

Answer: D

Explanation:
Explanation
The best option for ensuring that the warehouse system accurately reflects product inventory at the time orders are placed and minimizing the impact on customers is to increase the number of Pod replicas. Increasing the number of Pod replicas will increase the scalability and availability of your microservice, which will allow it to handle more Pub/Sub messages and update stock information faster. This way, you can reduce the backlog of undelivered messages and oldest unacknowledged message age, which are causing delays in updating product inventory. You can use Horizontal Pod Autoscaler or Cloud Monitoring metrics-based autoscaling to automatically adjust the number of Pod replicas based on load or custom metrics.

NEW QUESTION # 46
......

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