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

Question 49

- (Exam Topic 2)
You need to copy directory local-scripts and all of its contents from your local workstation to a Compute Engine virtual machine instance.
Which command should you use?

A. gsutil cp --project “my-gcp-project” -r ~/local-scripts/ gcp-instance-name:~/ server-scripts/ --zone “us-east1-b”

B. gsutil cp --project “my-gcp-project” -R ~/local-scripts/ gcp-instance-name:~/ server-scripts/ --zone “us-east1-b”

C. gcloud compute scp --project “my-gcp-project” --recurse ~/local-scripts/ gcpinstance- name:~/server-scripts/ --zone “us-east1-b”

D. gcloud compute mv --project “my-gcp-project” --recurse ~/local-scripts/ gcpinstance- name:~/server-scripts/ --zone “us-east1-b”

Correct Answer:C
Reference: https://cloud.google.com/sdk/gcloud/reference/compute/copy-files

Question 50

- (Exam Topic 1)
Which database should HipLocal use for storing user activity?

A. BigQuery

B. Cloud SQL

C. Cloud Spanner

D. Cloud Datastore

Correct Answer:A

Question 51

- (Exam Topic 2)
Your team is writing a backend application to implement the business logic for an interactive voice response (IVR) system that will support a payroll application. The IVR system has the following technical characteristics:
• Each customer phone call is associated with a unique IVR session.
• The IVR system creates a separate persistent gRPC connection to the backend for each session.
• If the connection is interrupted, the IVR system establishes a new connection, causing a slight latency for that call.
You need to determine which compute environment should be used to deploy the backend application. Using current call data, you determine that:
• Call duration ranges from 1 to 30 minutes.
• Calls are typically made during business hours.
• There are significant spikes of calls around certain known dates (e.g., pay days), or when large payroll changes occur.
You want to minimize cost, effort, and operational overhead. Where should you deploy the backend application?

A. Compute Engine

B. Google Kubernetes Engine cluster in Standard mode

C. Cloud Functions

D. Cloud Run

Correct Answer:D
This page shows Cloud Run-specific details for developers who want to use gRPC to connect a Cloud Run service with other services, for example, to provide simple, high performance communication between internal microservices. You can use all gRPC types, streaming or unary, with Cloud Run.
Possible use cases include:
Communication between internal microservices.
High loads of data (gRPC uses protocol buffers, which are up to seven times faster than REST calls). Only a simple service definition is needed, you don't want to write a full client library.
Use streaming gRPCs in your gRPC server to build more responsive applications and APIs. https://cloud.google.com/run/docs/tutorials/secure-services#:~:text=The backend service is priva

Question 52

- (Exam Topic 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?

A. Read application configuration and static data from the database on application startup.

B. Package application configuration and static data into the application image during build time.

C. Perform as much work as possible in the background after the response has been returned to the user.

D. Ensure that timeout exceptions and errors cause the Cloud Run instance to exit quickly so a replacement instance can be started.

Correct Answer:C

Question 53

- (Exam Topic 2)
Your analytics system executes queries against a BigQuery dataset. The SQL query is executed in batch and passes the contents of a SQL file to the BigQuery CLI. Then it redirects the BigQuery CLI output to another process. However, you are getting a permission error from the BigQuery CLI when the queries are executed. You want to resolve the issue. What should you do?

A. Grant the service account BigQuery Data Viewer and BigQuery Job User roles.

B. Grant the service account BigQuery Data Editor and BigQuery Data Viewer roles.

C. Create a view in BigQuery from the SQL query and SELECT* from the view in the CLI.

D. Create a new dataset in BigQuery, and copy the source table to the new dataset Query the new dataset and table from the CLI.

Correct Answer:B

Question 54

- (Exam Topic 2)
You are load testing your server application. During the first 30 seconds, you observe that a previously inactive Cloud Storage bucket is now servicing 2000 write requests per second and 7500 read requests per second. Your application is now receiving intermittent 5xx and 429 HTTP responses from the Cloud Storage JSON API as the demand escalates. You want to decrease the failed responses from the Cloud Storage API. What should you do?

A. Distribute the uploads across a large number of individual storage buckets.

B. Use the XML API instead of the JSON API for interfacing with Cloud Storage.

C. Pass the HTTP response codes back to clients that are invoking the uploads from your application.

D. Limit the upload rate from your application clients so that the dormant bucket's peak request rate is reached more gradually.

Correct Answer:A
Reference: https://cloud.google.com/storage/docs/request-rate

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