Ideal Google Professional-Cloud-Database-Engineer Exam Questions For Quick Success Updated 2026

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To earn the Professional-Cloud-Database-Engineer certification, candidates must pass a rigorous exam that assesses their knowledge and skills in various areas, including database design and implementation, data migration, backup and recovery, performance optimization, and security. Professional-Cloud-Database-Engineer Exam consists of multiple-choice and multiple-select questions, and candidates have two hours to complete it. The passing score for the exam is 70%.

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In order to earn the certification, candidates must pass a rigorous exam that consists of multiple-choice and scenario-based questions. They must demonstrate their ability to design, develop, and manage databases on the Google Cloud Platform, as well as their proficiency in using various Google Cloud database services. Once they have earned the certification, they must maintain it through ongoing professional development and continuing education.

Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q37-Q42):

NEW QUESTION # 37
You are configuring a brand new Cloud SQL for PostgreSQL database instance in Google Cloud. Your application team wants you to deploy one primary instance, one standby instance, and one read replica instance. You need to ensure that you are following Google-recommended practices for high availability. What should you do?

A. Configure the primary and standby instances in zone A and the read replica in zone B, all in the same region.
B. Configure the primary instance in one region, the standby instance in a second region, and the read replica in a third region.
C. Configure the primary instance in zone A, the standby instance in zone C, and the read replica in zone B, all in the same region.
D. Configure the primary, standby, and read replica instances in zone A, all in the same region.

Answer: C

Explanation:
https://cloud.google.com/sql/docs/postgres/high-availability#failover-overview

NEW QUESTION # 38
Your company is migrating their MySQL database to Cloud SQL and cannot afford any planned downtime during the month of December. The company is also concerned with cost, so you need the most cost-effective solution. What should you do?

A. Create MySQL read replicas in different zones so that, if any downtime occurs, the read replicas will act as the primary instance during the month of December.
B. Open a support ticket in Google Cloud to prevent any maintenance in that MySQL instance during the month of December.
C. Use Cloud SQL maintenance settings to prevent any maintenance during the month of December.
D. Create a MySQL regional instance so that, if any downtime occurs, the standby instance will act as the primary instance during the month of December.

Answer: C

Explanation:
https://cloud.google.com/sql/docs/mysql/maintenance?hl=fr

NEW QUESTION # 39
Your ecommerce application connecting to your Cloud SQL for SQL Server is expected to have additional traffic due to the holiday weekend. You want to follow Google-recommended practices to set up alerts for CPU and memory metrics so you can be notified by text message at the first sign of potential issues. What should you do?

A. Use Cloud Monitoring to set up an alerting policy for CPU and memory metrics and to configure SMS notification channels.
B. Use Cloud Logging to set up a log sink for CPU and memory metrics and to configure a sink destination to send a message to Pub/Sub.
C. Use Error Reporting to monitor CPU and memory metrics and to configure SMS notification channels.
D. Use a Cloud Function to pull CPU and memory metrics from your Cloud SQL instance and to call a custom service to send alerts.

Answer: A

Explanation:
Cloud Monitoring collects metrics, events, and metadata from Google Cloud, Amazon Web Services (AWS), hosted uptime probes, and application instrumentation. Using the BindPlane service, you can also collect this data from over 150 common application components, on-premise systems, and hybrid cloud systems.

NEW QUESTION # 40
You are evaluating Cloud SQL for PostgreSQL as a possible destination for your on-premises PostgreSQL instances. Geography is becoming increasingly relevant to customer privacy worldwide. Your solution must support data residency requirements and include a strategy to:
configure where data is stored control where the encryption keys are stored govern the access to data What should you do?

A. Allow application access to data only if the users are in the same region as the Google Cloud region for the Cloud SQL for PostgreSQL database.
B. Replicate Cloud SQL databases across different zones.
C. Create a Cloud SQL for PostgreSQL instance on Google Cloud for the data that does not need to adhere to data residency requirements. Keep the data that must adhere to data residency requirements on-premises. Make application changes to support both databases.
D. Use features like customer-managed encryption keys (CMEK), VPC Service Controls, and Identity and Access Management (IAM) policies.

Answer: D

Explanation:
https://cloud.google.com/blog/products/identity-security/meet-data-residency-requirements-with-google-cloud

NEW QUESTION # 41
Which connection method should applications use to connect to a regional Cloud Memorystore for Redis instance to keep 99th percentile latency under 4 milliseconds while minimizing operational overhead?

A. Use the Redis private IP in the same VPC and region
B. Private Service Connect
C. Use a regional load balancer in front of Redis

Answer: A

Explanation:
Connecting directly over the instance private address within the same network and region keeps the path short and predictable which helps keep the 99th percentile latency under four milliseconds. This direct approach has no extra proxies and no cross region hops and it also minimizes operational overhead because there is nothing to deploy or manage between your clients and the managed Redis endpoint.

NEW QUESTION # 42
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