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Google Professional-Cloud-Database-Engineer exam is a certification offered to professionals who have the expertise in designing, developing, and managing Google Cloud Platform (GCP) databases. Google Cloud Certified - Professional Cloud Database Engineer certification is aimed towards individuals who have a deep understanding of database architecture, data modeling, and data management using GCP services. Professional-Cloud-Database-Engineer Exam Tests the candidate’s ability to design, develop, and administer GCP databases, as well as their knowledge of GCP database services such as Cloud SQL, Cloud Spanner, and Cloud Bigtable.

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To become a Google Cloud Certified Professional-Cloud-Database-Engineer, candidates must pass a two-hour computer-based exam that consists of multiple-choice and multiple-response questions. Professional-Cloud-Database-Engineer exam is designed to test a candidate's ability to design, develop, and manage cloud-based databases on Google Cloud Platform. Candidates must have a strong understanding of database management, database security, and database performance tuning.

To become a Google Cloud Certified - Professional Cloud Database Engineer, candidates must pass a two-hour exam that consists of multiple-choice and multiple-select questions. Professional-Cloud-Database-Engineer Exam covers a wide range of topics, including database architecture, data modeling, data processing, data security, database migration, and performance tuning. Candidates are required to have hands-on experience with Google Cloud Platform and database technologies, as well as a deep understanding of SQL and NoSQL databases. Google Cloud Certified - Professional Cloud Database Engineer certification is ideal for individuals who work as database administrators, database engineers, or data architects and want to demonstrate their proficiency in managing database solutions on Google Cloud.

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

NEW QUESTION # 34
You are deploying a Cloud SOL for MySQL database to serve a non-critical application. The database size is
10 GB and will be updated every night with data stored in a Cloud Storage bucket. The database serves read- only traffic from the application during the day. The data locally requirement of This application mandates that data must reside in a single region. You want to minimize the cost of running this database while maintaining an RTO of 1 day. What should you do?

Answer: C


NEW QUESTION # 35
Your organization deployed a new version of a critical application that uses Cloud SQL for MySQL with high availability (HA) and binary logging enabled to store transactional information. The latest release of the application had an error that caused massive data corruption in your Cloud SQL for MySQL database. You need to minimize data loss. What should you do?

Answer: D


NEW QUESTION # 36
You support a consumer inventory application that runs on a multi-region instance of Cloud Spanner. A customer opened a support ticket to complain about slow response times. You notice a Cloud Monitoring alert about high CPU utilization. You want to follow Google-recommended practices to address the CPU performance issue. What should you do first?

Answer: C

Explanation:
In case of high CPU utilization like, mentioned in question, refer: https://cloud.google.com/spanner/docs
/identify-latency-point#:~:text=Check%20the%20CPU%20utilization%20of%20the%20instance.%20If%
20the%20CPU%20utilization%20of%20the%20instance%20is%20above%20the%20recommended%
20level%2C%20you%20should%20manually%20add%20more%20nodes%2C%20or%20set%20up%
20auto%20scaling. "Check the CPU utilization of the instance. If the CPU utilization of the instance is above the recommended level, you should manually add more nodes, or set up auto scaling." Indexes and schema are reviewed post identifying query with slow performance.Refer :https://cloud.google.com/spanner/docs
/troubleshooting-performance-regressions#review-schema


NEW QUESTION # 37
You are a DBA at a retail company. The production databases are running in Cloud SQL for MySQL Enterprise Plus edition, version 8.0.34, in the us-centrallregion. You need to set up and test disaster recovery (DR) with zero data loss in the us-west1region. What should you do-

Answer: D

Explanation:
You need to use Cloud SQL's Advanced DR feature (available on Enterprise-Plus) to get true zero-data-loss drills and failovers. That means:
1. Create a direct cross-region read replica in us-west1 using the same MySQL major-&-minor version (8.0.34) as your primary (zero data-loss switchover requires identical versions and Enterprise-Plus)
2. Designate that replica as your DR replica (the "failover DR replica" in the docs).
3. Test DR by running the built-in switchover, e.g.: gcloud sql instances switchover DR_REPLICA_NAMEwhich reverses roles with zero data loss


NEW QUESTION # 38
You currently have a MySQL database running on Cloud SQL with a read replica in a different zone for non-mission critical analytics workloads. You want to enable high availability (HA) for the analytic workloads while keeping costs low. What should you do-

Answer: B

Explanation:
Cloud SQL HA is only supported on primary instances (which are configured with a regional failover replica), not on read replicas. To give your analytics workloads HA at minimal extra cost, spin up a new Cloud SQL MySQL instance in HA mode in the same region (and therefore same zone locality) as your primary. This gives you automatic failover for analytics without incurring the higher networking and egress charges of a cross-region deployment.


NEW QUESTION # 39
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