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Google Professional-Cloud-Developer Exam Sample Questions

Question # 1

For this question, refer to the HipLocal case study. Which Google Cloud product addresses HipLocal’s business requirements for service level indicators and objectives?

A. Cloud Profiler

B. Cloud Monitoring

C. Cloud Trace

D. Cloud Logging

Answer

B. Cloud Monitoring

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Question # 2

You want to upload files from an on-premises virtual machine to Google Cloud Storage as part of a data migration. These files will be consumed by Cloud DataProc Hadoop cluster in a GCP environment. Which command should you use?

A. gsutil cp [LOCAL_OBJECT] gs://[DESTINATION_BUCKET_NAME]/

B. gcloud cp [LOCAL_OBJECT] gs://[DESTINATION_BUCKET_NAME]/

C. hadoop fs cp [LOCAL_OBJECT] gs://[DESTINATION_BUCKET_NAME]/

D. gcloud dataproc cp [LOCAL_OBJECT] gs://[DESTINATION_BUCKET_NAME]/

Answer

A. gsutil cp [LOCAL_OBJECT] gs://[DESTINATION_BUCKET_NAME]/

Explanation: The gsutil cp command allows you to copy data between your local file. storage. boto files generated by running "gsutil config"

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Question # 3

You have deployed a Java application to Cloud Run. Your application requires access to a database hosted on Cloud SQL Due to regulatory requirements: your connection to the Cloud SQL instance must use its internal IP address. How should you configure the connectivity while following Google-recommended best practices'?

A. Configure your Cloud Run service with a Cloud SQL connection.

B. Configure your Cloud Run service to use a Serverless VPC Access connector

C. Configure your application to use the Cloud SQL Java connector

D. Configure your application to connect to an instance of the Cloud SQL Auth proxy

Answer

A. Configure your Cloud Run service with a Cloud SQL connection.

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Question # 4

You deployed a new application to Google Kubernetes Engine and are experiencing some performance degradation. Your logs are being written to Cloud Logging, and you are using a Prometheus sidecar model for capturing metrics. You need to correlate the metrics and data from the logs to troubleshoot the performance issue and send real-time alerts while minimizing costs. What should you do?

A. Create custom metrics from the Cloud Logging logs, and use Prometheus to import the results using the Cloud Monitoring REST API.

B. Export the Cloud Logging logs and the Prometheus metrics to Cloud Bigtable. Run a query to join the results, and analyze in Google Data Studio.

C. Export the Cloud Logging logs and stream the Prometheus metrics to BigQuery. Run a recurring query to join the results, and send notifications using Cloud Tasks.

D. Export the Prometheus metrics and use Cloud Monitoring to view them as external metrics. Configure Cloud Monitoring to create log-based metrics from the logs, and correlate them with the Prometheus data.

Answer

D. Export the Prometheus metrics and use Cloud Monitoring to view them as external metrics. Configure Cloud Monitoring to create log-based metrics from the logs, and correlate them with the Prometheus data.

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Question # 5

You have an application running in App Engine. Your application is instrumented with Stackdriver Trace. The /product-details request reports details about four known unique products at /sku-details as shown below. You want to reduce the time it takes for the request to complete. What should you do?

A. Increase the size of the instance class

B. Change the Persistent Disk type to SSD.

C. Change /product-details to perform the requests in parallel.

D. Store the /sku-details information in a database, and replace the webservice call with a database query.

Answer

C. Change /product-details to perform the requests in parallel.

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