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To be eligible for the exam, candidates should have at least three years of experience in database administration or development, as well as experience with Google Cloud Platform. Candidates should also have a strong understanding of SQL, database design principles, and data modeling concepts.

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Google Professional-Cloud-Database-Engineer Questions 2026 - All Subjects Covered

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Google Professional-Cloud-Database-Engineer certification is a valuable certification for professionals who want to demonstrate their expertise in designing, developing, and managing GCP databases. Google Cloud Certified - Professional Cloud Database Engineer certification is highly valued in the industry, and it provides the candidate with a competitive edge in the job market. Professional-Cloud-Database-Engineer Exam Tests the candidate’s ability to design, develop, and administer GCP databases, and it requires a thorough understanding of GCP database services.

Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q161-Q166):

NEW QUESTION # 161
You are running a large, highly transactional application on Oracle Real Application Cluster (RAC) that is multi-tenant and uses shared storage. You need a solution that ensures high- performance throughput and a low-latency connection between applications and databases. The solution must also support existing Oracle features and provide ease of migration to Google Cloud. What should you do?

A. Migrate to Compute Engine.
B. Migrate to Google Cloud VMware Engine
C. Migrate to Bare Metal Solution for Oracle.
D. Migrate to Google Kubernetes Engine (GKE)

Answer: C

NEW QUESTION # 162
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?

A. Use SQL statements to analyze SPANNER_SYS.QUERY_STATS* tables.
B. Use query parameters to speed up frequently executed queries.
C. Change the Cloud Spanner configuration from multi-region to single region.
D. Use SQL statements to analyze SPANNER_SYS.READ_STATS* tables.

Answer: C

NEW QUESTION # 163
You are starting a large CSV import into a Cloud SQL for MySQL instance that has many open connections.
You checked memory and CPU usage, and sufficient resources are available. You want to follow Google- recommended practices to ensure that the import will not time out. What should you do?

A. Ensure that the service account has the Storage Admin role.
B. Close idle connections or restart the instance before beginning the import operation.
C. Increase the number of CPUs for the instance to ensure that it can handle the additional import operation.
D. Increase the amount of memory allocated to your instance.

Answer: B

Explanation:
https://cloud.google.com/sql/docs/mysql/import-export#troubleshooting

NEW QUESTION # 164
You have a Cloud SQL for MySQL instance with a table of product information including a column of product descriptions. Your application development team is building a customer facing chatbot and would like to find the product that most closely matches a freeform text description provided by the customer. How should you enable this functionality-

A. Create and populate a column of product description embeddings on the product table and perform an approximate nearest neighbor search using the customer's search text.
B. Use the LIKEoperator to match the customer's search text to the product description and return similar rows.
C. Create a SQL script that compares the product description and the customer's search text by using the SOUNDEXfunction.
D. Create a stored procedure that uses a regular expression to match the customer's search text to values in the product description column.

Answer: A

Explanation:
By precomputing embeddings for each product description and storing them in your table, you can turn a freeform customer query into an embedding and then run an approximate nearest- neighbor search to find the semantically closest products. This approach delivers much more relevant matches than regex, LIKE, or SOUNDEX without overloading the database with expensive text-processing on every query.

NEW QUESTION # 165
Your company is migrating one of its monolithic applications to a microservices architecture on Google Cloud. The new architecture involves a user authentication service that runs on Google Kubernetes Engine (GKE) and needs to access Cloud SQL for PostgreSQL instances. Your developers need to access the databases for local development and debugging purposes. You need to design a centralized, secure, and scalable database connectivity and access management strategy for both application service interfaces and developers. What should you do-

A. Configure the GKE and Compute Engine applications to use the Cloud SQL Auth Proxy for all database connections. Instruct developers to use their local clients with database-native user/password authentication.
B. For GKE and Compute Engine services, create and grant dedicated IAM service accounts with least-privilege roles for Cloud SQL resources, and configure applications to use workload identity account credentials. For developers, use IAM authentication with Cloud SQL Auth Proxy for secure access.
C. For all service interfaces and developers, create unique database-native user and password credentials directly on each database instance, and store the credentials in a centralized secret management tool.
D. Enable public IP addresses for all database instances and configure firewall rules to restrict access based on the source IP addresses of the GKE cluster, Compute Engine VMs, and developers' machines.

Answer: B

Explanation:
The recommended approach for Cloud SQL connectivity is to use IAM-based authentication with the Cloud SQL Auth Proxy. For applications (GKE, Compute Engine), you assign dedicated IAM service accounts with least-privilege roles and use Workload Identity for secure, scalable credential management. For developers, IAM authentication through the Cloud SQL Auth Proxy provides secure access without exposing database-native credentials. This ensures centralized, secure, and scalable database access management for both services and developers.

NEW QUESTION # 166
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