A team is migrating an on-premises application to Google Cloud. The application writes data to a relational database. They want to use Cloud SQL for MySQL. The application uses a single database connection for all operations. What is the best practice for the migration?

Use a connection pool to manage multiple connections efficiently

Keep the single connection to minimize changes to the application code

Use a Cloud SQL proxy to manage connections

Use a serverless database like Firestore instead of Cloud SQL

A company has a large dataset stored in Cloud Storage. They need to process the data and write the results to Firestore. The dataset is too large to fit in memory. They want to use a serverless approach. What is the best option?

Use a Cloud Function to read the entire dataset and write to Firestore

Use Cloud Dataflow to read from Cloud Storage, process, and write to Firestore

Use a Compute Engine VM to process the dataset

Use Cloud Run to process the dataset in chunks

A company has a Cloud SQL instance that stores customer data. They want to migrate the data to Firestore. The data is relational and has many relationships. They want to minimize the effort required for the migration. What is the best approach?

Use Cloud Spanner instead of Firestore to maintain relational capabilities

Use a one-to-one mapping of tables to Firestore collections

Use a Cloud SQL proxy to connect to Firestore

Use a denormalized data model in Firestore to reduce the need for joins

A logistics company has a microservice that publishes order updates to a Pub/Sub topic. The service occasionally fails to publish because the Pub/Sub service is temporarily unavailable. They want to ensure no messages are lost. What should they implement?

Use a synchronous publish call and block the application until the publish succeeds

Use a synchronous publish call and if it fails, log the error and discard the message

Use a separate Pub/Sub topic for each order update to avoid contention

Use a retry policy with exponential backoff and, if it still fails, store the message in a local queue for later retry

A company stores large media files in Cloud Storage. They have a web application that allows users to download these files. The application currently downloads the file to memory and then sends it to the client, causing memory issues for large files. What is the best approach to handle this?

Increase the memory of the application server

Use the Cloud Storage API to stream the file in chunks to the client

Use the Cloud Storage client library to download the file to a temporary file and then serve it

Use a signed URL to allow the client to download the file directly from Cloud Storage

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Domain 4Objective 1

4.1 Integrating Applications with Data and Storage Services PROFESSIONAL-CLOUD-DEVELOPER Practice Questions (Page 1)

Part of the Integrating applications with Google Cloud services domain, which accounts for ~21% of the PROFESSIONAL-CLOUD-DEVELOPER exam.

21questions here

5free pages

5concepts

~21%of the exam

Questions 1–5

1application · medium
A team is migrating an on-premises application to Google Cloud. The application writes data to a relational database. They want to use Cloud SQL for MySQL. The application uses a single database connection for all operations. What is the best practice for the migration?
Select an answer first
2expert · hard
A company has a large dataset stored in Cloud Storage. They need to process the data and write the results to Firestore. The dataset is too large to fit in memory. They want to use a serverless approach. What is the best option?
Select an answer first
3expert · hard
A company has a Cloud SQL instance that stores customer data. They want to migrate the data to Firestore. The data is relational and has many relationships. They want to minimize the effort required for the migration. What is the best approach?
Select an answer first
4application · medium
A logistics company has a microservice that publishes order updates to a Pub/Sub topic. The service occasionally fails to publish because the Pub/Sub service is temporarily unavailable. They want to ensure no messages are lost. What should they implement?
Select an answer first
5application · medium
A company stores large media files in Cloud Storage. They have a web application that allows users to download these files. The application currently downloads the file to memory and then sends it to the client, causing memory issues for large files. What is the best approach to handle this?
Select an answer first

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