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To pass the Professional-Cloud-Database-Engineer exam, candidates must demonstrate a deep understanding of GCP's database services, such as Cloud SQL, Cloud Spanner, and Cloud Bigtable. They must also have experience working with SQL, NoSQL, and other database technologies.
Google Professional-Cloud-Database-Engineer certification is a valuable credential for database professionals who are interested in advancing their careers and demonstrating their expertise in designing, developing, and managing secure and scalable database solutions on the Google Cloud Platform. By earning this certification, individuals can demonstrate to employers and clients that they have the skills and knowledge required to work with Google Cloud technology, making them more valuable in the job market.
Google Professional-Cloud-Database-Engineer Certification Exam is recognized globally as a mark of excellence in the field of cloud-based database management. It is an excellent way for professionals to demonstrate their expertise and commitment to their field, and to enhance their credibility with employers and clients. By earning this certification, professionals can position themselves as leaders in their industry and open up new opportunities for career growth and advancement.
Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q30-Q35):
NEW QUESTION # 30
You are designing a physician portal app in Node.js. This application will be used in hospitals and clinics that might have intermittent internet connectivity. If a connectivity failure occurs, the app should be able to query the cached dat a. You need to ensure that the application has scalability, strong consistency, and multi-region replication. What should you do?
- A. Use Memorystore for Memcached.
- B. Use Firestore and ensure that the PersistenceEnabled option is set to true.
- C. Use Table.read with the exactStaleness option to perform a read of rows in Cloud Spanner.
- D. Use Pub/Sub to synchronize the changes from the application to Cloud Spanner.
Answer: B
Explanation:
https://firebase.google.com/docs/firestore/manage-data/enable-offline
NEW QUESTION # 31
Your organization is migrating 50 TB Oracle databases to Bare Metal Solution for Oracle. Database backups must be available for quick restore. You also need to have backups available for 5 years. You need to design a cost-effective architecture that meets a recovery time objective (RTO) of 2 hours and recovery point objective (RPO) of 15 minutes. What should you do?
- A. Create the database on a Bare Metal Solution server with the database running on flash storage.
Keep a local backup copy on all flash storage.
Use the Oracle Recovery Manager (RMAN) backup utility to move backups older than one day to an Archive Storage bucket. - B. Create the database on a Bare Metal Solution server with the database running on flash storage.
Keep a local backup copy on standard storage.
Use the Oracle Recovery Manager (RMAN) backup utility to move backups older than one day to a Coldline Storage bucket. - C. Create the database on a Bare Metal Solution server with the database running on flash storage.
Keep a local backup copy on all flash storage.
Keep backups older than one day stored in Actifio OnVault storage. - D. Create the database on a Bare Metal Solution server with the database running on flash storage.
Keep a local backup copy on standard storage.
Keep backups older than one day stored in Actifio OnVault storage.
Answer: D
Explanation:
This answer meets the RTO and RPO requirements by using flash storage for the database and standard storage for the local backup copy. It also meets the cost-effectiveness requirement by using Actifio OnVault storage, which is a low-cost, high-performance, and scalable storage solution that integrates with Google Cloud Backup and DR Service1.
NEW QUESTION # 32
You are migrating an on-premises application to Google Cloud. The application requires a high availability (HA) PostgreSQL database to support business-critical functions. Your company's disaster recovery strategy requires a recovery time objective (RTO) and recovery point objective (RPO) within 30 minutes of failure.
You plan to use a Google Cloud managed service. What should you do to maximize uptime for your application?
- A. Migrate the PostgreSQL database to multi-regional Cloud Spanner so that a single region outage will not affect your application. Update the schema to support Cloud Spanner data types, and refactor the application.
- B. Deploy Cloud SQL for PostgreSQL in a regional configuration. Create a read replica in a different zone in the same region and a read replica in another region for disaster recovery.
- C. Deploy Cloud SQL for PostgreSQL in a regional configuration with HA enabled. Create a cross-region read replica, and promote the read replica as the primary node for disaster recovery.
- D. Deploy Cloud SQL for PostgreSQL in a regional configuration with HA enabled. Take periodic backups, and use this backup to restore to a new Cloud SQL for PostgreSQL instance in another region during a disaster recovery event.
Answer: C
Explanation:
The best answer is deploy an HA configuration and have a read replica you could promote to the primary in a different region
NEW QUESTION # 33
You are a DBA on a Cloud Spanner instance with multiple databases. You need to assign these privileges to all members of the application development team on a specific database:
Can read tables, views, and DDL
Can write rows to the tables
Can add columns and indexes
Cannot drop the database
What should you do?
- A. Assign the Cloud Spanner Database Admin role.
- B. Assign the Cloud Spanner Admin role.
- C. Assign the Cloud Spanner Database Reader and Cloud Spanner Backup Writer roles.
- D. Assign the Cloud Spanner Database User role.
Answer: D
NEW QUESTION # 34
Your organization stores marketing data such as customer preferences and purchase history on Bigtable. The consumers of this database are predominantly data analysts and operations users. You receive a service ticket from the database operations department citing poor database performance between 9 AM-10 AM every day. The application team has confirmed no latency from their logs. A new cohort of pilot users that is testing a dataset loaded from a third-party data provider is experiencing poor database performance. Other users are not affected. You need to troubleshoot the issue. What should you do?
- A. Use Key Visualizer for Bigtable.
- B. Add more nodes to the Bigtable cluster.
- C. Isolate the data analysts and operations user groups to use different Bigtable instances.
- D. Check the Cloud Monitoring table/bytes_used metric from Bigtable.
Answer: D
NEW QUESTION # 35
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