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Google Professional-Cloud-Database-Engineer Certification Exam is designed to test the skills and knowledge of professionals who work with databases on the Google Cloud Platform. It is intended for individuals who have experience in designing, developing, and managing databases, as well as those who are skilled in using Google Cloud's database services.

In order to earn the certification, candidates must pass a rigorous exam that consists of multiple-choice and scenario-based questions. They must demonstrate their ability to design, develop, and manage databases on the Google Cloud Platform, as well as their proficiency in using various Google Cloud database services. Once they have earned the certification, they must maintain it through ongoing professional development and continuing education.

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Google Professional-Cloud-Database-Engineer Certification Exam is a challenging and in-depth exam that requires a deep understanding of foundational database concepts, as well as advanced knowledge of Google Cloud Platform's database services. Candidates who successfully complete the Google Cloud Certified - Professional Cloud Database Engineer exam demonstrate their expertise in designing, implementing, and managing databases on the Google Cloud Platform.

Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q107-Q112):

NEW QUESTION # 107
Your organization needs to migrate a critical, on-premises MySQL database to Cloud SQL for MySQL. The on-premises database is on a version of MySQL that is supported by Cloud SQL and uses the InnoDB storage engine. You need to migrate the database while preserving transactions and minimizing downtime. What should you do?

A. 1. Pause the on-premises applications.
2. Use the mysqldump utility to dump the database content in compressed format.
3. Run gsutil -m to move the dump file to Cloud Storage.
4. Use the Cloud SQL for MySQL import option.
5. After the import operation is complete, re-point the applications to the Cloud SQL for MySQL instance.
B. 1. Use Database Migration Service to connect to your on-premises database, and choose continuous replication.
2. After the on-premises database is migrated, promote the Cloud SQL for MySQL instance, and connect applications to your Cloud SQL instance.
C. 1. Build a Cloud Data Fusion pipeline for each table to migrate data from the on-premises MySQL database to Cloud SQL for MySQL.
2. Schedule downtime to run each Cloud Data Fusion pipeline.
3. Verify that the migration was successful.
4. Re-point the applications to the Cloud SQL for MySQL instance.
D. 1 Pause the on-premises applications.
2. Use the mysqldump utility to dump the database content in CSV format.
3. Run gsutil -m to move the dump file to Cloud Storage.
4. Use the Cloud SQL for MySQL import option.
5. After the import operation is complete, re-point the applications to the Cloud SQL for MySQL instance.

Answer: B

Explanation:
https://cloud.google.com/database-migration/docs/mysql/configure-source-database

NEW QUESTION # 108
Your organization has strict policies on tracking rollouts to production and periodically shares this information with external auditors to meet compliance requirements. You need to enable auditing on several Cloud Spanner databases. What should you do?

A. Use Liquibase to roll out changes to higher environments.
B. Manually capture detailed DBA audit logs when changes are rolled out to higher environments.
C. Use backup and restore to roll out changes to higher environments.
D. Use replication to roll out changes to higher environments.

Answer: C

NEW QUESTION # 109
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. Ensure that pglogical is installed on the source PostgreSQL database.
B. Disable all foreign key constraints on the source PostgreSQL database.
C. Drop or disable all users except database administration users.
D. Ensure that all PostgreSQL tables have a primary key.
E. Shut down the database before the Data Migration Service task is started.

Answer: A,B

NEW QUESTION # 110
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. Place the bulk of the read and write workloads closer to the default leader region.
B. Keep the total CPU utilization under 45% in each region.
C. Use staleness of at least 15 seconds.
D. Add more read-write replicas.

Answer: D

NEW QUESTION # 111
Your company uses Bigtable for a user-facing application that displays a low-latency real-time dashboard. You need to recommend the optimal storage type for this read-intensive database.
What should you do?

A. Recommend hard disk drives (HDD).
B. Recommend mixed storage types.
C. Recommend solid-state drives (SSD).
D. Recommend splitting the Bigtable instance into two instances in order to load balance the concurrent reads.

Answer: C

Explanation:
https://cloud.google.com/bigtable/docs/choosing-ssd-hdd

NEW QUESTION # 112
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