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To prepare for the exam, Google recommends that you have hands-on experience with the Google Cloud Platform and have completed the Professional Cloud Architect certification. Additionally, you should have experience with database technologies and be familiar with database design and management principles. By passing the Google Professional-Cloud-Database-Engineer exam, you will join a community of certified professionals who have demonstrated their expertise in managing databases on the Google Cloud Platform.

Google Professional-Cloud-Database-Engineer Certification Exam is designed for professionals who specialize in database management on the Google Cloud Platform. Google Cloud Certified - Professional Cloud Database Engineer certification is ideal for individuals who have experience in designing, developing, and managing cloud-native database solutions. Professional-Cloud-Database-Engineer exam aims to evaluate the candidate's proficiency in database concepts, cloud-native database services, data security, and data migration.

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q31-Q36):

NEW QUESTION # 31
You need to migrate a 1 TB PostgreSQL database from a Compute Engine VM to Cloud SQL for PostgreSQL. You want to ensure that there is minimal downtime during the migration. What should you do?

A. Use Database Migration Service to complete the migration.
B. Export the data from the existing database, and load the data into a new Cloud SQL database.
C. Use Migrate for Compute Engine to complete the migration.
D. Use Datastream to complete the migration.

Answer: B

NEW QUESTION # 32
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. Create your instance with a specified external (public) IP address.
Choose the VPC and create firewall rules to allow only connections from Cloud Run into your instance.
Connect to the instance using a connection pool to best manage connections to the instance.
B. Create your instance with a specified internal (private) IP address.
Choose the VPC with private service connection configured.
Configure the Serverless VPC Access connector in the same VPC network as your Cloud SQL instance.
Use Cloud SQL Auth proxy to connect to the instance.
C. Create your instance with a specified external (public) IP address.
Choose the VPC and create firewall rules to allow only connections from Cloud Run into your instance.
Use Cloud SQL Auth proxy to connect to the instance.
D. Create your instance with a specified internal (private) IP address.
Choose the VPC with private service connection configured.
Configure the Serverless VPC Access connector in the same VPC network as your Cloud SQL instance.
Connect to the instance using a connection pool to best manage connections to the instance.

Answer: B

NEW QUESTION # 33
You support a consumer inventory application that runs on a multi-region instance of Cloud Spanner. A customer opened a support ticket to complain about slow response times. You notice a Cloud Monitoring alert about high CPU utilization. You want to follow Google-recommended practices to address the CPU performance issue. What should you do first?

A. Modify the database schema, and add additional indexes.
B. Decrease the number of processing units.
C. Increase the number of processing units.
D. Shard data required by the application into multiple instances.

Answer: C

NEW QUESTION # 34
You are designing for a write-heavy application. During testing, you discover that the write workloads are performant in a regional Cloud Spanner instance but slow down by an order of magnitude in a multi-regional instance. You want to make the write workloads faster in a multi-regional instance. What should you do?

A. Add more read-write replicas.
B. Use staleness of at least 15 seconds.
C. Keep the total CPU utilization under 45% in each region.
D. Place the bulk of the read and write workloads closer to the default leader region.

Answer: A

NEW QUESTION # 35
Your team is building an application that stores and analyzes streaming time series financial dat a. You need a database solution that can perform time series-based scans with sub-second latency. The solution must scale into the hundreds of terabytes and be able to write up to 10k records per second and read up to 200 MB per second. What should you do?

A. Use Bigtable
B. Use Firestore.
C. Use BigQuery.
D. Use Cloud Spanner.

Answer: A

Explanation:
Financial data, such as transaction histories, stock prices, and currency exchange rates.
https://cloud.google.com/bigtable/docs/overview#what-its-good-for
With SSD:
Reads - up to 10,000 rows per second
Writes - up to 10,000 rows per second
Scans - up to 220 MB/s
https://cloud.google.com/bigtable/docs/performance#typical-workloads

NEW QUESTION # 36
......

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Ian Brown Ian Brown

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