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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q48-Q53):
NEW QUESTION # 48
You are starting a large CSV import into a Cloud SQL for MySQL instance that has many open connections. You checked memory and CPU usage, and sufficient resources are available. You want to follow Google-recommended practices to ensure that the import will not time out. What should you do?
- A. Increase the amount of memory allocated to your instance.
- B. Close idle connections or restart the instance before beginning the import operation.
- C. Increase the number of CPUs for the instance to ensure that it can handle the additional import operation.
- D. Ensure that the service account has the Storage Admin role.
Answer: B
Explanation:
https://cloud.google.com/sql/docs/mysql/import-export#troubleshooting
NEW QUESTION # 49
You want to migrate an existing on-premises application to Google Cloud. Your application supports semi-structured data ingested from 100,000 sensors, and each sensor sends 10 readings per second from manufacturing plants. You need to make this data available for real-time monitoring and analysis. What should you do?
- A. Use BigQuery, and load data in batches.
- B. Deploy the database using Cloud Spanner.
- C. Deploy the database using Cloud SQL.
- D. C.Deploy the database using Bigtable.
Answer: D
Explanation:
Bigtable is a scalable, fully managed, and high-performance NoSQL database service that can handle semi-structured data and support real-time monitoring and analysis. Cloud SQL is a relational database service that does not support semi-structured dat a. BigQuery is a data warehouse service that is optimized for batch processing and analytics, not real-time monitoring. Cloud Spanner is a relational database service that supports semi-structured data with JSON data type, but it is more expensive and complex than Bigtable for this use case.
NEW QUESTION # 50
You are writing an application that will run on Cloud Run and require a database running in the Cloud SQL managed service. You want to secure this instance so that it only receives connections from applications running in your VPC environment in Google Cloud. What should you do?
- A. 1. Create your instance with a specified external (public) IP address.
2. Choose the VPC and create firewall rules to allow only connections from Cloud Run into your instance.
3. Connect to the instance using a connection pool to best manage connections to the instance. - B. 1. Create your instance with a specified internal (private) IP address.
2. Choose the VPC with private service connection configured.
3. Configure the Serverless VPC Access connector in the same VPC network as your Cloud SQL instance.
4. Use Cloud SQL Auth proxy to connect to the instance. - C. 1. Create your instance with a specified external (public) IP address.
2. Choose the VPC and create firewall rules to allow only connections from Cloud Run into your instance.
3. Use Cloud SQL Auth proxy to connect to the instance. - D. 1. Create your instance with a specified internal (private) IP address.
2. Choose the VPC with private service connection configured.
3. Configure the Serverless VPC Access connector in the same VPC network as your Cloud SQL instance.
4. Connect to the instance using a connection pool to best manage connections to the instance.
Answer: D
Explanation:
https://cloud.google.com/sql/docs/mysql/connect-run#configure https://cloud.google.com/sql/docs/mysql/connect-run#connection-pools
NEW QUESTION # 51
You are choosing a new database backend for an existing application. The current database is running PostgreSQL on an on-premises VM and is managed by a database administrator and operations team. The application data is relational and has light traffic. You want to minimize costs and the migration effort for this application. What should you do?
- A. Migrate the existing database to Cloud SQL for PostgreSQL.
- B. Migrate the existing database to Firestore.
- C. Migrate the existing database to Cloud Spanner.
- D. Migrate the existing database to PostgreSQL running on Compute Engine.
Answer: A
Explanation:
You could migrate to Spanner leveraging the PostgreSQL dialect, but costs need to be minimized so that wouldn't be the cheapest option. Especially since the load doesn't justify Spanner. Again, you could migrate like-for-like to a GCE VM, but that defeats minimizing the migration effort. The cheapest and easiest way to migrate would be Database Migration Service to Cloud SQL for PostgreSQL.
NEW QUESTION # 52
You are the DBA of an online tutoring application that runs on a Cloud SQL for PostgreSQL database. You are testing the implementation of the cross-regional failover configuration. The database in region R1 fails over successfully to region R2, and the database becomes available for the application to process dat a. During testing, certain scenarios of the application work as expected in region R2, but a few scenarios fail with database errors. The application-related database queries, when executed in isolation from Cloud SQL for PostgreSQL in region R2, work as expected. The application performs completely as expected when the database fails back to region R1. You need to identify the cause of the database errors in region R2. What should you do?
- A. Determine whether the database patches of Cloud SQI for PostgreSQL in regions R1 and R2 are different.
- B. Determine whether the versions of Cloud SQL for PostgreSQL in regions R1 and R2 are different.
- C. Determine whether the failover of Cloud SQL for PostgreSQL from region R1 to region R2 is in progress or has completed successfully.
- D. Determine whether Cloud SQL for PostgreSQL in region R2 is a near-real-time copy of region R1 but not an exact copy.
Answer: A
NEW QUESTION # 53
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