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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.

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Google Professional-Cloud-Database-Engineer exam is a certification exam offered by Google Cloud that tests the individual's proficiency in designing, developing, and managing scalable, secure, and highly available database solutions. Professional-Cloud-Database-Engineer Exam is designed to evaluate the candidate's ability to design, plan, and manage cloud database solutions using Google Cloud Platform services such as Cloud SQL, Cloud Spanner, and Cloud Bigtable.

Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q219-Q224):

NEW QUESTION # 219
You work in the logistics department. Your data analysis team needs daily extracts from Cloud SQL for MySQL to train a machine learning model. The model will be used to optimize next-day routes. You need to export the data in CSV format. You want to follow Google-recommended practices. What should you do?

A. Use Cloud Composer to execute a select * from table(s) query and export results.
B. Use Cloud Scheduler to trigger a Cloud Function through Pub/Sub to call the cloudsql.instances.export API.
C. Use Cloud Composer to orchestrate an export by calling the cloudsql.instances.export API.
D. Use Cloud Scheduler to trigger a Cloud Function that will run a select * from table(s) query to call the cloudsql.instances.export API.

Answer: B

Explanation:
https://cloud.google.com/blog/topics/developers-practitioners/scheduling-cloud-sql-exports-using-cloud-functions-and-cloud-scheduler

NEW QUESTION # 220
Your ecommerce website captures user clickstream data to analyze customer traffic patterns in real time and support personalization features on your website. You plan to analyze this data using big data tools. You need a low-latency solution that can store 8 TB of data and can scale to millions of read and write requests per second. What should you do?

A. Deploy a Cloud SQL environment with read replicas for improved performance. Use Datastream to export data to Cloud Storage and analyze with Dataproc and the Cloud Storage connector.
B. Use Memorystore to handle your low-latency requirements and for real-time analytics.
C. Write your data into Bigtable and use Dataproc and the Apache Hbase libraries for analysis.
D. Stream your data into BigQuery and use Dataproc and the BigQuery Storage API to analyze large volumes of data.

Answer: C

NEW QUESTION # 221
Your company is shutting down their data center and migrating several MySQL and PostgreSQL databases to Google Cloud. Your database operations team is severely constrained by ongoing production releases and the lack of capacity for additional on-premises backups. You want to ensure that the scheduled migrations happen with minimal downtime and that the Google Cloud databases stay in sync with the on-premises data changes until the applications can cut over. What should you do? (Choose two.)

A. Use replication from an external server to migrate the databases to Cloud SQL.
B. Use an external read replica to migrate the databases to Cloud SQL.
C. Use a read replica to migrate the databases to Cloud SQL.
D. Use Database Migration Service to migrate the databases to Cloud SQL.
E. Use a cross-region read replica to migrate the databases to Cloud SQL.

Answer: A,C

NEW QUESTION # 222
Which Google Cloud database offers strongly consistent transactions, supports both relational and JSON data, and delivers globally distributed low latency across three continents?

A. Bigtable
B. Cloud Spanner multi region
C. AlloyDB for PostgreSQL
D. Cloud SQL for PostgreSQL

Answer: B

Explanation:
It delivers strongly consistent transactions, supports both relational schema and a JSON data type, and provides globally distributed low latency across continents.
This database offers true strong consistency with ACID transactions and synchronous replication, so reads and writes remain consistent even when distributed. It supports standard SQL with a relational model and includes native JSON support, which satisfies the requirement for both relational and JSON. Its multi region configuration replicates data across geographically separate regions to provide low latency access around the world while maintaining consistency.

NEW QUESTION # 223
You are migrating your company's critical ecommerce platform from an on-premises PostgreSQL database (utilizing PostgreSQL stored procedures) to a highly available solution on Google Cloud. The platform requires an extremely low downtime (Recovery Time Objective (RTO) - 5 minutes) and minimal data loss (Recovery Point Objective - 30 seconds). The platform serves a global customer base with peak traffic distributed across multiple continents, though the primary transactional data resides in a single geographic region for regulatory compliance. You need to design a cloud database solution that meets the RTO/RPO requirements while optimizing for global read access and local transactional integrity. What should you do-

A. Deploy an AlloyDB cluster in the primary region with a high-availability instance configuration, and establish cross-region read replicas in another region for global read scaling.
B. Deploy a single-region AlloyDB cluster with a primary instance and a read replica in the same zone.
C. Implement a single-instance Spanner deployment configured for multi-regional data replication.
D. Implement a multi-regional Cloud SQL for PostgreSQL deployment with read replicas in different regions, and configure asynchronous replication for cross-region data consistency.

Answer: A

Explanation:
AlloyDB is PostgreSQL-compatible (including stored procedures) and provides regional high availability with automatic failover that meets a 5-minute RTO. Cross-region read replicas use low-lag asynchronous replication suitable for a 30-second RPO while keeping writes in a single compliant region. This design delivers local transactional integrity and globally scaled reads with minimal downtime and data loss.

NEW QUESTION # 224
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