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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.

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To prepare for the Google Professional-Cloud-Database-Engineer Certification Exam, candidates should have experience in designing and managing databases. They should also have a deep understanding of database concepts such as data modeling, normalization, indexing, and optimization. Candidates must also have experience in using Google Cloud Platform services such as Cloud SQL, Cloud Spanner, and Cloud Bigtable.

Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q148-Q153):

NEW QUESTION # 148
You are deploying a new Cloud SQL instance on Google Cloud using the Cloud SQL Auth proxy.
You have identified snippets of application code that need to access the new Cloud SQL instance. The snippets reside and execute on an application server running on a Compute Engine machine. You want to follow Google-recommended practices to set up Identity and Access Management (IAM) as quickly and securely as possible. What should you do?

A. For the application server, set up a service account.
B. For each application code, set up a common shared user account.
C. For each application code, set up a dedicated user account.
D. For the application server, set up a common shared user account.

Answer: A

Explanation:
https://cloud.google.com/sql/docs/mysql/sql-proxy#using-a-service-account

NEW QUESTION # 149
During a migration from a monolith to microservices on Google Cloud, which database strategy minimizes downtime while preserving the option to adopt service specific data stores later?

A. Migrate to Cloud Spanner now and split schemas by service
B. Add a data access layer service that proxies all database calls
C. Refactor into microservices while all services keep using the single database for now
D. Create one database per service and cut over all services in one release

Answer: C

Explanation:
This approach allows teams to migrate incrementally. You can preserve existing transactions and consistency guarantees while extracting services. As each service stabilizes you can introduce service owned tables or new data stores and migrate data with techniques such as change data capture or controlled backfills. This sequence reduces operational risk since you avoid changing application architecture and database architecture at the same time.

NEW QUESTION # 150
You are managing a mission-critical Cloud SQL for PostgreSQL instance. Your application team is running important transactions on the database when another DBA starts an on-demand backup. You want to verify the status of the backup. What should you do?

A. Perform the gcloud sql operations list command.
B. Check the cloudsql.googleapis.com/postgres.log instance log.
C. Use Cloud Audit Logs to verify the status.
D. Use the Google Cloud Console.

Answer: A

Explanation:
https://cloud.google.com/sql/docs/postgres/backup-recovery/backups#troubleshooting-backups Under Troubleshooting: Issue: "You can't see the current operation's status." The Google Cloud console reports only success or failure when the operation is done. It isn't designed to show warnings or other updates. Run the gcloud sql operations list command to list all operations for the given Cloud SQL instance.

NEW QUESTION # 151
You are migrating your critical production database from Amazon RDS for MySQL to Cloud SQL for MySQL by using Google Cloud's Database Migration Service. You want to keep disruption to your production database to a minimum and, at the same time, optimize migration performance.
What should you do-

A. Create and start multiple Database Migration Service jobs to migrate your database to the target Cloud SQL for MySQL instance.
B. Create a single Database Migration Service migration job with initial Load Parallelism configured to Maximum on the Amazon RDS for MySQL primary instance.
C. Upgrade the Amazon RDS for MySQL primary instance to an instance with more vCPUs and memory, and then run Google Cloud's Database Migration Service.
D. Create a single Database Migration Service migration job with initial load parallelism configured to maximum on the source Amazon RDS for MySQL read replica.

Answer: D

Explanation:
By pointing your single Database Migration Service job at an Amazon-RDS read replica and cranking initial-load parallelism to its maximum, you offload heavy full-load reads from production and ingest data faster into Cloud-SQL. This approach minimizes impact on your live primary instance while maximizing throughput during the initial load.

NEW QUESTION # 152
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 with HA enabled. Create a cross-region read replica, and promote the read replica as the primary node for disaster recovery.
C. 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.
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: B

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 # 153
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