100% Pass 2026 Google Professional-Cloud-Database-Engineer: Google Cloud Certified - Professional Cloud Database Engineer–The Best Reliable Test Dumps

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Google Professional-Cloud-Database-Engineer Exam Overview:

Certification Vendor:	Google Cloud
Exam Name:	Professional Cloud Database Engineer
Exam Number:	Professional-Cloud-Database-Engineer
Exam Duration:	120 minutes
Certificate Validity Period:	2 years
Exam Format:	Scenario-based questions, Multiple choice, Multiple select
Real Exam Qty:	50-60
Exam Price:	$200 USD (plus tax where applicable)
Related Certifications:	Google Cloud Certified - Professional Cloud Data Engineer Google Cloud Certified - Associate Cloud Engineer
Passing Score:	Not publicly disclosed (pass/fail scaled scoring)
Available Languages:	English
Recommended Training:	Google Cloud Skills Boost - Database Engineer Learning Path Google Cloud Database documentation
Exam Registration:	Cloud Database Engineer Certification Page Official Google Cloud Certification Portal
Sample Questions:	Google Professional-Cloud-Database-Engineer Sample Questions
Exam Way:	Online proctored or onsite test center exam
Pre Condition:	No formal prerequisites required. Recommended: ~5 years database/IT experience including ~2 years Google Cloud database experience.
Official Syllabus URL:	https://cloud.google.com/learn/certification/cloud-database-engineer

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Google Professional-Cloud-Database-Engineer Certification Exam is designed to test the knowledge and skills of individuals who want to become certified database engineers. Google Cloud Certified - Professional Cloud Database Engineer certification is offered by Google Cloud and is intended for individuals who have experience in designing, building, and maintaining databases on the Google Cloud Platform.

Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q93-Q98):

NEW QUESTION # 93
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 a Cloud Function to pull CPU and memory metrics from your Cloud SQL instance and to call a custom service to send alerts.
B. Use Error Reporting to monitor CPU and memory metrics and to configure SMS notification channels.
C. 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.
D. Use Cloud Monitoring to set up an alerting policy for CPU and memory metrics and to configure SMS notification channels.

Answer: B

NEW QUESTION # 94
Your organization has a security policy to ensure that all Cloud SQL for PostgreSQL databases are secure. You want to protect sensitive data by using a key that meets specific locality or residency requirements. Your organization needs to control the key's lifecycle activities. You need to ensure that data is encrypted at rest and in transit. What should you do?

A. Create the database persistent disk with customer-managed encryption keys.
B. Create the database persistent disk with Google-managed encryption keys.
C. Create the database with customer-managed encryption keys.
D. Create the database with Google-managed encryption keys.

Answer: C

NEW QUESTION # 95
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?

A. Increase the size of the read replica Instance and enable MA.
B. Enable HA on the current read replica.
C. Create a new MA Instance in a different region than the primary.
D. Create a new HA instance in the same zone db lie primary.

Answer: B

NEW QUESTION # 96
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. 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.
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 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.
D. 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.

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 # 97
You are building an application that allows users to customize their website and mobile experiences. The application will capture user information and preferences. User profiles have a dynamic schema, and users can add or delete information from their profile. You need to ensure that user changes automatically trigger updates to your downstream BigQuery data warehouse. What should you do?

A. Use Firestore in Native mode, and store user profile data as a document. Update the user profile with preferences specific to that user and use the user identifier to query.
B. Use Firestore in Datastore mode, and store user profile data as a document. Update the user profile with preferences specific to that user and use the user identifier to query.
C. Use Cloud SQL, and create different tables for user profile data and user preferences from your recommendations model. Use SQL to join the user profile data and preferences
D. Store your data in Bigtable, and use the user identifier as the key. Use one column family to store user profile data, and use another column family to store user preferences.

Answer: D

NEW QUESTION # 98
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