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The Professional-Cloud-Database-Engineer Certification Exam is a challenging exam that requires a deep understanding of database management principles, as well as hands-on experience with database administration on the Google Cloud Platform. Professional-Cloud-Database-Engineer exam covers a range of topics, including database design, implementation, maintenance, and monitoring. Candidates must also be familiar with the various Google Cloud Platform services that are used for database management, such as Cloud SQL, Cloud Spanner, and Cloud Bigtable.

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Google Professional-Cloud-Database-Engineer certification exam is designed for professionals who want to validate their expertise in designing, developing, and managing cloud-based database solutions using Google Cloud Platform (GCP). Google Cloud Certified - Professional Cloud Database Engineer certification is part of the Google Cloud Certified program that offers a range of certifications for IT professionals. Google Cloud Certified - Professional Cloud Database Engineer certification exam evaluates the candidate's skills in cloud database administration, data modeling, security, scalability, and performance optimization.

Google Professional-Cloud-Database-Engineer Exam is one of the latest certification exams offered by Google Cloud. It is designed to validate the skills and knowledge of database engineers who have expertise in designing, developing, and managing databases on Google Cloud Platform. Google Cloud Certified - Professional Cloud Database Engineer certification exam is intended for database engineers, cloud architects, and database administrators who want to demonstrate their ability to design, develop, deploy, and maintain databases on Google Cloud Platform.

Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q195-Q200):

NEW QUESTION # 195
You are planning the migration of a large Oracle database to AlloyDB for PostgreSQL. The database contains a large amount of application logic written as stored procedures that needs to be migrated to the target database. You want to minimize both migration effort and downtime for the migration. What should you do-

Answer: C

Explanation:
By using Database Migration Service with a conversion workspace, you get built-in schema and PL/SQL-to-PL/pgSQL code conversion plus a migration job that handles both the one-time backfill and ongoing change-data-capture. That lets you migrate your stored procedures automatically and keep source and target in sync until cut-over, minimizing effort and downtime.


NEW QUESTION # 196
Your organization's databases are running in Cloud SQL. Due to data residency regulations, your organization mandates that backups are stored in a specific region. You are also required to make sure that the databases have monthly full backups, which are retained until your Cloud SQL instance is deleted, along with daily backups. What should you do-

Answer: C

Explanation:
Use Cloud SQL's built-in automated backups for your daily recovery window, and supplement them with on-demand (manual) full backups each month. Store those monthly backups in a customer-managed Cloud Storage bucket that you place in your required region - this satisfies the residency rule and keeps them until you explicitly delete the instance (on-demand backups aren't auto-purged). Automated backups handle the daily retention, and your manual monthly snapshots live as long as you need.


NEW QUESTION # 197
You are the DBA of your organization. You provided a cloned instance from the production Cloud SQL for PostgreSQL database to the developers for testing purposes. After the creation of the clone, your developers notice missing data in one of the recently altered tables. What should you do to ensure that all data is included-

Answer: B

Explanation:
Cloud SQL's instance-level backups, PITR, and clones do not include unlogged tables (since they bypass WAL). To capture that missing data you must perform a logical dump (pg_dump) of the entire database, convert the unlogged table definitions to logged in the dump file (so they'll persist), and then reload into the new Cloud SQL instance. This ensures all rows from those formerly unlogged tables are preserved.


NEW QUESTION # 198
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?

Answer: A

Explanation:
To troubleshoot high read latency, you can use SQL statements to analyze the SPANNER_SYS.
READ_STATS* tables. These tables contain statistics about read operations in Cloud Spanner, including the number of reads, read latency, and the number of read errors. By analyzing these tables, you can identify the cause of the high read latency and take appropriate action to resolve the issue. Other options, such as using query parameters to speed up frequently executed queries or changing the Cloud Spanner configuration from multi-region to single region, may not be directly related to the issue of high read latency. Similarly, analyzing the SPANNER_SYS.QUERY_STATS* tables, which contain statistics about query operations, may not be relevant to the issue of high read latency.


NEW QUESTION # 199
You are the primary DBA of a Cloud SQL for PostgreSQL database that supports 6 enterprise applications in production. You used Cloud SQL Insights to identify inefficient queries and now need to identify the application that is originating the inefficient queries. You want to follow Google-recommended practices. What should you do?

Answer: A


NEW QUESTION # 200
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