Quiz 2026 Google Pass-Sure Professional-Cloud-Database-Engineer: Google Cloud Certified - Professional Cloud Database Engineer Exam Simulator Online

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Google Professional-Cloud-Database-Engineer Exam Overview:

Certification Vendor:	Google Cloud
Exam Name:	Google Cloud Certified - Professional Cloud Database Engineer
Exam Number:	Professional-Cloud-Database-Engineer
Certificate Validity Period:	2 years
Exam Price:	$200 USD
Available Languages:	Japanese, English
Passing Score:	Not officially disclosed
Real Exam Qty:	50-60
Exam Format:	Multiple Choice, Multiple Select
Exam Duration:	120 minutes
Related Certifications:	Google Cloud Certified - Professional Cloud Architect Google Cloud Certified - Professional Data Engineer Google Cloud Certified - Associate Cloud Engineer
Sample Questions:	Google Professional-Cloud-Database-Engineer Sample Questions
Exam Way:	Online-proctored or onsite-proctored at a testing center
Pre Condition:	No formal prerequisites. Google recommends hands-on experience with Google Cloud database services and cloud architecture.
Official Syllabus URL:	https://cloud.google.com/learn/certification/cloud-database-engineer

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Google Professional-Cloud-Database-Engineer Certification Exam is a challenging exam that requires a solid understanding of cloud database solutions and their best practices. Candidates who pass the exam will receive a Google Cloud Certified - Professional Cloud Database Engineer certification, which is recognized by the industry and demonstrates their expertise in cloud-based database solutions. Google Cloud Certified - Professional Cloud Database Engineer certification can help professionals advance their career and increase their earning potential.

Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q32-Q37):

NEW QUESTION # 32
You manage a production MySQL database running on Cloud SQL at a retail company. You perform routine maintenance on Sunday at midnight when traffic is slow, but you want to skip routine maintenance during the year-end holiday shopping season. You need to ensure that your production system is available 24/7 during the holidays. What should you do?

A. Define a maintenance window on Sundays between 12 AM and 5 AM, and deny maintenance periods between November 1 and February 15.
B. Define a maintenance window on Sundays between 12 AM and 1 AM, and deny maintenance periods between November 1 and January 15.
C. Build a Cloud Composer job to start a maintenance window on Sundays between 12 AM and 1AM, and deny maintenance periods between November 1 and January 15.
D. Create a Cloud Scheduler job to start maintenance at 12 AM on Sundays. Pause the Cloud Scheduler job between November 1 and January 15.

Answer: B

Explanation:
"Deny maintenance period. A block of days in which Cloud SQL does not schedule maintenance. Deny maintenance periods can be up to 90 days long. " https://cloud.google.com/sql/docs/mysql/maintenance

NEW QUESTION # 33
You are a database administrator for a rapidly growing startup running on Google Cloud. As your company expands, the Cloud SQL for PostgreSQL database workload is increasing exponentially. You need to implement a proactive strategy to continuously assess and optimize the cost of your database solution while ensuring it meets performance requirements.
What should you do?

A. Set up budget alerts in Cloud Billing to notify you when spending exceeds predefined thresholds.
B. Use Query Insights to identify and address performance bottlenecks, then adjust instance sizes based on recommendations.
C. Review Cloud Billing reports every month, and adjust instance sizes based on observed usage patterns.
D. Implement a combination of automated scripts to analyze usage patterns and Cloud Monitoring custom metrics to track performance. Manage scaling based on defined thresholds.

Answer: B

Explanation:
Query Insights provides continuous visibility into slow queries, resource-intensive workloads, and performance bottlenecks in Cloud SQL for PostgreSQL, enabling data-driven optimization. Using these insights to right-size instances ensures performance requirements are met while proactively controlling and optimizing costs.

NEW QUESTION # 34
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 Error Reporting to monitor CPU and memory metrics and to configure SMS notification channels.
B. Use a Cloud Function to pull CPU and memory metrics from your Cloud SQL instance and to call a custom service to send alerts.
C. Use Cloud Monitoring to set up an alerting policy for CPU and memory metrics and to configure SMS notification channels.
D. 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.

Answer: C

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 # 35
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. Increase the amount of memory allocated to your instance.
C. Close idle connections or restart the instance before beginning the import operation.
D. Increase the number of CPUs for the instance to ensure that it can handle the additional import operation.

Answer: C

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

NEW QUESTION # 36
In Cloud SQL for MySQL, which deployment achieves high availability and disaster recovery while maintaining low read and write latency in the primary region?

A. Single zonal Cloud SQL instance
B. AlloyDB for PostgreSQL
C. Cloud SQL primary in one zone with same region read replica in another zone
D. Cloud SQL primary in one region with cross region read replica

Answer: C

Explanation:
This design keeps all traffic within the primary region so application read and write latency remains low. Placing the replica in a different zone provides resilience to zonal failures which delivers high availability. You can promote the replica quickly if the primary becomes unavailable which supports disaster recovery objectives without routing data across regions. Replication is asynchronous which limits write impact on the primary and it also adds local read capacity.

NEW QUESTION # 37
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