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Google Professional-Cloud-Database-Engineer Exam Overview:

Certification Vendor:	Google Cloud
Exam Name:	Professional Cloud Database Engineer Exam
Exam Number:	Professional-Cloud-Database-Engineer
Exam Duration:	120 minutes
Exam Price:	$200 USD (plus tax where applicable)
Available Languages:	Japanese, English
Exam Format:	Multiple choice, Multiple select
Related Certifications:	Google Cloud Certified - Professional Data Engineer Google Cloud Certified - Professional Cloud Architect
Real Exam Qty:	50-60
Certificate Validity Period:	2 years
Passing Score:	Not publicly disclosed
Recommended Training:	Google Cloud Professional Cloud Database Engineer Learning Path
Exam Registration:	Google Cloud Certification Registration
Sample Questions:	Google Professional-Cloud-Database-Engineer Sample Questions
Exam Way:	Online proctored (remote) or onsite proctored (testing center)
Pre Condition:	No mandatory prerequisites; recommended: 5+ years of overall database and IT experience, including 2 years of hands-on experience with Google Cloud database solutions
Official Syllabus URL:	https://cloud.google.com/learn/certification/cloud-database-engineer

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The Professional-Cloud-Database-Engineer Exam is intended for individuals who have experience working with databases on the Google Cloud Platform. Professional-Cloud-Database-Engineer exam covers a wide range of topics, including database design, data modeling, data warehousing, data migration, database security, and database optimization. It also covers topics related to managing databases in a cloud environment, such as scalability, availability, and disaster recovery.

Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q34-Q39):

NEW QUESTION # 34
Your company is migrating the existing infrastructure for a highly transactional application to Google Cloud. You have several databases in a MySQL database instance and need to decide how to transfer the data to Cloud SQL. You need to minimize the downtime for the migration of your 500 GB instance. What should you do?

A. 1. Use the mysqldump utility to manually initiate a backup of MySQL during the application maintenance window.
2. Move the files to Cloud Storage, and import each database into your Cloud SQL instance.
3. Continue to dump each database until all the databases are migrated.
4. Update your application connections to the new instance.
B. 1. Create a Cloud SQL for MySQL instance for your databases, and configure Datastream to stream your database changes to Cloud SQL.
2. Select the Backfill historical data check box on your stream configuration to initiate Datastream to backfill any data that is out of sync between the source and destination.
3. Delete your stream when all changes are moved to Cloud SQL for MySQL, and update your application to use the new instance.
C. 1. Create migration job using Database Migration Service.
2. Set the migration job type to One-time, and perform this migration during a maintenance window.
3. Stop all write workloads to the source database and initiate the dump. Wait for the dump to be loaded into the Cloud SQL destination database and the destination database to be promoted to the primary database.
4. Update your application connections to the new instance.
D. 1. Create migration job using Database Migration Service.
2. Set the migration job type to Continuous, and allow the databases to complete the full dump phase and start sending data in change data capture (CDC) mode.
3. Wait for the replication delay to minimize, initiate a promotion of the new Cloud SQL instance, and wait for the migration job to complete.
4. Update your application connections to the new instance.

Answer: D

NEW QUESTION # 35
You plan to use Database Migration Service to migrate data from a PostgreSQL on-premises instance to Cloud SQL. You need to identify the prerequisites for creating and automating the task. What should you do? (Choose two.)

A. Disable all foreign key constraints on the source PostgreSQL database.
B. Ensure that all PostgreSQL tables have a primary key.
C. Drop or disable all users except database administration users.
D. Shut down the database before the Data Migration Service task is started.
E. Ensure that pglogical is installed on the source PostgreSQL database.

Answer: B,E

Explanation:
https://cloud.google.com/database-migration/docs/postgres/faq

NEW QUESTION # 36
Your company is launching a new globally distributed application with strict requirements for low latency, strong consistency, zero downtime, and high availability (HA). You need to configure a scalable database solution to support anticipated rapid growth and optimal application performance. What should you do?

A. Create a Cloud SQL instance in HA mode with a cross-region read replica.
B. Implement Bigtable with replication across multiple regions and configure to prioritize data accuracy.
C. Create a spanner instance across regions for optimal performance.
D. Create an AlloyDB instance in HA mode with a cross-region read replica.

Answer: C

NEW QUESTION # 37
Your customer has a global chat application that uses a multi-regional Cloud Spanner instance. The application has recently experienced degraded performance after a new version of the application was launched. Your customer asked you for assistance. During initial troubleshooting, you observed high read latency. What should you do?

A. Use SQL statements to analyze SPANNER_SYS.READ_STATS* tables.
B. Use query parameters to speed up frequently executed queries.
C. Use SQL statements to analyze SPANNER_SYS.QUERY_STATS* tables.
D. Change the Cloud Spanner configuration from multi-region to single region.

Answer: D

NEW QUESTION # 38
You are responsible for designing a new database for an airline ticketing application in Google Cloud. This application must be able to:
Work with transactions and offer strong consistency.
Work with structured and semi-structured (JSON) data.
Scale transparently to multiple regions globally as the operation grows.
You need a Google Cloud database that meets all the requirements of the application. What should you do?

A. Use Firestore in Datastore mode.
B. Use Cloud Spanner in a multi-region configuration.
C. Use Cloud SQL for PostgreSQL with both cross-region read replicas.
D. Use a Bigtable instance with clusters in multiple regions.

Answer: B

Explanation:
https://cloud.google.com/blog/products/databases/manage-semi-structured-data-in-cloud-spanner-with-json

NEW QUESTION # 39
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