Google Professional-Cloud-Developer Professional Cloud Developer Exam Exam Practice Test Questions

• Question 1

  You are deploying your application to a Compute Engine virtual machine instance with the StackdriverMonitoring Agent installed. Your application is a unix process on the instance. You want to be alerted if the unix process has not run for at least 5 minutes. You are not able to change the application to generate metrics or logs.Which alert condition should you configure?

  • Uptime check
  • Process health
  • Metric absence
  • Metric threshold

  Show Answer Answer: B Next

• Question 2

  Users are complaining that your Cloud Run-hosted website responds too slowly during traffic spikes. You want to provide a better user experience during traffic peaks. What should you do?

  • Read application configuration and static data from the database on application startup.
  • Package application configuration and static data into the application image during build time.
  • Perform as much work as possible in the background after the response has been returned to the user.
  • Ensure that timeout exceptions and errors cause the Cloud Run instance to exit quickly so a replacement instance can be started.

  Show Answer Answer: C Next

• Question 3

  HipLocal's data science team wants to analyze user reviews.How should they prepare the data?

  • Use the Cloud Data Loss Prevention API for redaction of the review dataset.
  • Use the Cloud Data Loss Prevention API for de-identification of the review dataset.
  • Use the Cloud Natural Language Processing API for redaction of the review dataset.
  • Use the Cloud Natural Language Processing API for de-identification of the review dataset.

  Show Answer Answer: B Next

• 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?

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

  Show Answer Answer: D Next

• Question 5

  Your company needs a database solution that stores customer purchase history and meets the following requirements:Customers can query their purchase immediately after submission.Purchases can be sorted on a variety of fields.Distinct record formats can be stored at the same time.Which storage option satisfies these requirements?

  • Firestore in Native mode
  • Cloud Storage using an object read
  • Cloud SQL using a SQL SELECT statement
  • Firestore in Datastore mode using a global query

  Show Answer Answer: A Next