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Professional-Cloud-Database-Engineer VCE Dumps & Professional-Cloud-Database-Engineer Vce Files

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Google Professional-Cloud-Database-Engineer exam comprises of multiple choice and scenario-based questions, and it requires a thorough understanding of GCP database services. Professional-Cloud-Database-Engineer exam is designed to test the candidate’s ability to design, develop, and administer GCP databases in a real-world scenario. Professional-Cloud-Database-Engineer exam is conducted online, and the candidates are given a time limit of 2 hours to complete it. The passing score for the exam is 70%, and the certification is valid for two years.

Achieving the Google Professional-Cloud-Database-Engineer Certification demonstrates to employers and clients that you have the knowledge and skills needed to design, develop, and manage cloud-based database solutions using Google Cloud. It can also open up new career opportunities and increase earning potential.

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q96-Q101):

NEW QUESTION # 96
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. 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.
B. 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.
C. 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.
D. 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.

Answer: D

NEW QUESTION # 97
You are choosing a new database backend for an existing application. The current database is running PostgreSQL on an on-premises VM and is managed by a database administrator and operations team. The application data is relational and has light traffic. You want to minimize costs and the migration effort for this application. What should you do?

A. Migrate the existing database to Cloud SQL for PostgreSQL.
B. Migrate the existing database to PostgreSQL running on Compute Engine.
C. Migrate the existing database to Cloud Spanner.
D. Migrate the existing database to Firestore.

Answer: A

NEW QUESTION # 98
Your DevOps team is using Terraform to deploy applications and Cloud SQL databases. After every new application change is rolled out, the environment is torn down and recreated, and the persistent database layer is lost. You need to prevent the database from being dropped. What should you do?

A. Set Terraform deletion_protection to true.
B. Use point-in-time-recovery (PITR) to recover the database.
C. Create a read replica.
D. Rerun terraform apply.

Answer: A

Explanation:
. From Google's documentation, "For stateful resources, such as databases, ensure that deletion protection is enabled. The syntax is: lifecycle { prevent_destroy = true } https://cloud.google.com/docs/terraform/best-practices-for-terraform#stateful-resources

NEW QUESTION # 99
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.
Theapplication 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. Check the Cloud Monitoring table/bytes_used metric from Bigtable.
D. Isolate the data analysts and operations user groups to use different Bigtable instances.

Answer: A

Explanation:
https://cloud.google.com/bigtable/docs/performance#troubleshooting

NEW QUESTION # 100
Your company uses Cloud Spanner for a mission-critical inventory management system that is globally available. You recently loaded stock keeping unit (SKU) and product catalog data from a company acquisition and observed hot-spots in the Cloud Spanner database. You want to follow Google-recommended schema design practices to avoid performance degradation. What should you do? (Choose two.)

A. Promote high-cardinality attributes in multi-attribute primary keys.
B. Promote low-cardinality attributes in multi-attribute primary keys.
C. Use an auto-incrementing value as the primary key.
D. Normalize the data model.
E. Use bit-reverse sequential value as the primary key.

Answer: A,E

Explanation:
https://cloud.google.com/spanner/docs/schema-design D because high cardinality means you have more unique values in the collumn. That's a good thing for a hot-spotting issue. E because Spanner specifically has this feature to reduce hot spotting. Basically, it generates unique values https://cloud.google.com/spanner/docs/schema-design#bit_reverse_primary_key D) Promote high-cardinality attributes in multi-attribute primary keys.
This is a correct answer because promoting high-cardinality attributes in multi-attribute primary keys can help avoid hotspots in Cloud Spanner. High-cardinality attributes are those that have many distinct values, such as UUIDs, email addresses, or timestamps1. By placing high-cardinality attributes first in the primary key, you can ensure that the rows are distributed more evenly across the key space, and avoid having too many requests sent to the same server2.
E) Use bit-reverse sequential value as the primary key.
This is a correct answer because using bit-reverse sequential value as the primary key can help avoid hotspots in Cloud Spanner. Bit-reverse sequential value is a technique that reverses the bits of a monotonically increasing value, such as a timestamp or an auto-incrementing ID1. By reversing the bits, you can create a pseudo-random value that spreads the writes across the key space, and avoid having all the inserts occurring at the end of the table2.

NEW QUESTION # 101
......

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Lily Scott Lily Scott

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