Online Access Free Google.Professional-Cloud-Developer.v2026-03-19.q199 Practice Test (Page 40)

Professional-Cloud-Developer Exam Question 191

You are using the Cloud Client Library to upload an image in your application to Cloud Storage.
Users of the application report that occasionally the upload does not complete and the client library reports an HTTP 504 Gateway Timeout error. You want to make the application more resilient to errors. What changes to the application should you make?

A.Write an exponential backoff process around the client library call.

B.Write a one-second wait time backoff process around the client library call.

C.Design a retry button in the application and ask users to click if the error occurs.

D.Create a queue for the object and inform the users that the application will try again in 10 minutes.

Professional-Cloud-Developer Exam Question 192

You have an analytics application that runs hundreds of queries on BigQuery every few minutes using BigQuery API. You want to find out how much time these queries take to execute.
What should you do?

A.Use Stackdriver Monitoring to plot slot usage.

B.Use Stackdriver Trace to plot API execution time.

C.Use Stackdriver Trace to plot query execution time.

D.Use Stackdriver Monitoring to plot query execution times.

Professional-Cloud-Developer Exam Question 193

You recently developed an application that will be hosted on Cloud Run. You need to conduct a load test. You want to analyze the load test logs second by second to understand your Cloud Run service's response to rapid traffic spikes. You want to minimize effort. How should you analyze the logs?

A.Use estimation to extrapolate performance from summary monitoring charts.

B.Analyze the log data in BigQuery by configuring a BigQuery log sink with the appropriate inclusion filter for your application.

C.Use Cloud Monitoring's default log console for analysis.

D.Analyze the log data in Cloud SQL for PostgreSQL by pushing logs to a Pub/Sub topic. Use Dataflow to process and ingest the logs.

Professional-Cloud-Developer Exam Question 194

You support an application that uses the Cloud Storage API. You review the logs and discover multiple HTTP 503 Service Unavailable error responses from the API. Your application logs the error and does not take any further action. You want to implement Google-recommended retry logic to improve success rates.
Which approach should you take?

A.Retry the failures in batch after a set number of failures is logged.

B.Retry each failure at a set time interval up to a maximum number of times.

C.Retry each failure at increasing time intervals up to a maximum number of tries.

D.Retry each failure at decreasing time intervals up to a maximum number of tries.

Professional-Cloud-Developer Exam Question 195

You are developing an online gaming platform as a microservices application on Google Kubernetes Engine (GKE). Users on social media are complaining about long loading times for certain URL requests to the application. You need to investigate performance bottlenecks in the application and identify which HTTP requests have a significantly high latency span in user requests. What should you do?

A.Configure GKE workload metrics using kubectl. Select all Pods to send their metrics to Cloud Monitoring. Create a custom dashboard of application metrics in Cloud Monitoring to determine performance bottlenecks of your GKE cluster.

B.Update your microservices to log HTTP request methods and URL paths to STDOUT. Use the logs router to send container logs to Cloud Logging. Create filters in Cloud Logging to evaluate the latency of user requests across different methods and URL paths.

C.Instrument your microservices by installing the OpenTelemetry tracing package. Update your application code to send traces to Trace for inspection and analysis. Create an analysis report on Trace to analyze user requests.

D.Install tcpdump on your GKE nodes. Run tcpdump to capture network traffic over an extended period of time to collect data. Analyze the data files using Wireshark to determine the cause of high latency.

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Professional-Cloud-Developer Exam Question 191

Professional-Cloud-Developer Exam Question 192

Professional-Cloud-Developer Exam Question 193

Professional-Cloud-Developer Exam Question 194

Professional-Cloud-Developer Exam Question 195

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