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Professional-Cloud-DevOps-Engineer Examcollection Dumps Torrent Pass Certify | Latest Professional-Cloud-DevOps-Engineer Reliable Dumps Ppt: Google Cloud Certified - Professional Cloud DevOps Engineer Exam

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Google Professional-Cloud-DevOps-Engineer Exam is a performance-based exam that evaluates the candidate's practical skills in the real-world scenario. Professional-Cloud-DevOps-Engineer exam is conducted online, and the candidates are required to complete a set of tasks within a given time frame. Professional-Cloud-DevOps-Engineer exam is divided into two parts - a scenario-based section and a hands-on section. The scenario-based section tests the candidate's ability to analyze and solve complex problems, while the hands-on section evaluates the candidate's skills in implementing and managing GCP solutions.

Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q183-Q188):

NEW QUESTION # 183
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 cross-service federation for centralized data access
B. Configure Google Cloud Managed Service for Prometheus
C. Configure Prometheus hierarchical federation for centralized data access
D. Configure workload metrics within Cloud Operations for GKE

Answer: B

Explanation:
The best option for implementing a scalable solution to support global Prometheus querying and minimize management overhead is to use Google Cloud Managed Service for Prometheus. Google Cloud Managed Service for Prometheus is a fully managed service that allows you to collect, query, and visualize metrics from your GKE clusters using Prometheus-based tooling. You can use Google Cloud Managed Service for Prometheus to query metrics across multiple clusters and regions using a global view. You can also use Google Cloud Managed Service for Prometheus to integrate with other Google Cloud services, such as Cloud Monitoring, Cloud Logging, and BigQuery. By using Google Cloud ManagedService for Prometheus, you can avoid managing and scaling your own Prometheus servers and focus on your application performance.

NEW QUESTION # 184
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 Cloud Pub/Sub to trigger a Spinnaker pipeline.
C. Use a custom builder in Cloud Build to trigger a Jenkins pipeline.
D. Use Cloud Pub/Sub to trigger a custom deployment service running in Google Kubernetes Engine (GKE).

Answer: B

Explanation:
https://cloud.google.com/architecture/continuous-delivery-toolchain-spinnaker-cloud
https://spinnaker.io/guides/user/pipeline/triggers/pubsub/
The most efficient way to build an automated pipeline that deploys the application when the image is updated is to use Cloud Pub/Sub to trigger a Spinnaker pipeline. This way, you can leverage the built-in integration between GCR and Cloud Pub/Sub, and use Spinnaker as a continuous delivery platform for deploying your application .

NEW QUESTION # 185
Your team is designing a new application for deployment both inside and outside Google Cloud Platform (GCP). You need to collect detailed metrics such as system resource utilization. You want to use centralized GCP services while minimizing the amount of work required to set up this collection system. What should you do?

A. Import the Stackdriver Debugger package, and configure the application to emit debug messages with timing information.
B. Install an Application Performance Monitoring (APM) tool in both locations, and configure an export to a central data storage location for analysis.
C. Import the Stackdriver Profiler package, and configure it to relay function timing data to Stackdriver for further analysis.
D. Instrument the code using a timing library, and publish the metrics via a health check endpoint that is scraped by Stackdriver.

Answer: A

Explanation:
Explanation/Reference:

NEW QUESTION # 186
Your application services run in Google Kubernetes Engine (GKE). You want to make sure that only images from your centrally-managed Google Container Registry (GCR) image registry in the altostrat-images project can be deployed to the cluster while minimizing development time. What should you do?

A. Add a tag to each image in gcr.io/altostrat-images and check that this tag is present when the image is deployed.
B. Use a Binary Authorization policy that includes the whitelist name pattern gcr.io/altostrat-images/.
C. Create a custom builder for Cloud Build that will only push images to gcr.io/altostrat-images.
D. Add logic to the deployment pipeline to check that all manifests contain only images from gcr.io/altostrat- images.

Answer: A

NEW QUESTION # 187
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. tcp_ssl_proxy/open_connections
B. flex/connections/current
C. flex/instance/connections/current
D. tcp_ssl_proxy/new_connections

Answer: C

Explanation:
Explanation/Reference: https://cloud.google.com/monitoring/api/metrics_gcp

NEW QUESTION # 188
......

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