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The Google Professional-Cloud-Database-Engineer exam covers a wide range of topics related to database management, including database design, data modeling, database administration, data backup and recovery, and performance tuning. Candidates are also tested on their ability to use various Google Cloud tools and services, such as Cloud SQL, Cloud Spanner, and Bigtable.

Google Professional-Cloud-Database-Engineer certification exam measures the candidate's ability to perform essential database engineer tasks such as configuring database systems, ensuring data availability, optimizing database performance, and managing database security. Professional-Cloud-Database-Engineer Exam also evaluates the candidate's ability to design and implement database solutions that meet specific business requirements. Professional-Cloud-Database-Engineer exam consists of multiple-choice and scenario-based questions that assess the candidate's practical skills and knowledge of Google Cloud Platform's database services. Passing Professional-Cloud-Database-Engineer exam demonstrates that the candidate has the skills and knowledge required to excel in a database engineering role on Google Cloud Platform.

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Google Professional-Cloud-Database-Engineer Exam Dumps - Latest Preparation Material [2026]

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The Google Professional-Cloud-Database-Engineer Exam consists of multiple-choice and multiple-select questions, and candidates are given two hours to complete it. Professional-Cloud-Database-Engineer exam covers a wide range of topics, including database design, data modeling, data migration, data security, and performance optimization. Candidates who successfully pass the exam earn the Google Cloud Certified - Professional Cloud Database Engineer certification, which is globally recognized as a validation of their expertise in cloud database management.

Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q206-Q211):

NEW QUESTION # 206
You are managing a Cloud SQL for PostgreSQL instance in Google Cloud. You have a primary instance in region 1 and a read replica in region 2. After a failure of region 1, you need to make the Cloud SQL instance available again. You want to minimize data loss and follow Google-recommended practices. What should you do?

A. Restore the Cloud SQL instance from the automatic backups in another zone in region 1.
B. Restore the Cloud SQL instance from the automatic backups in region 3.
C. Check your instance operational log for the automatic failover status. Look for time, type, and status of the operations. If the failover operation is successful, no action is necessary. Otherwise, manually perform gcloud sql instances failover .
D. Check "Lag Bytes" in the monitoring dashboard for the primary instance in the read replica instance.
Check the replication status usingpg_catalog.pg_last_wal_receive_lsn(). Then, fail over to region 2 by promoting the read replica instance.

Answer: D

Explanation:
https://cloud.google.com/sql/docs/postgres/replication/cross-region-replicas#disaster_recovery

NEW QUESTION # 207
You are managing multiple applications connecting to a database on Cloud SQL for PostgreSQL. You need to be able to monitor database performance to easily identify applications with long-running and resource-intensive queries. What should you do?

A. Use Query Insights for Cloud SQL.
B. Use Cloud SQL instance monitoring in the Google Cloud Console.
C. Use the Cloud Monitoring dashboard with available metrics from Cloud SQL.
D. Use log messages produced by Cloud SQL.

Answer: A

Explanation:
https://cloud.google.com/sql/docs/mysql/using-query-insights#introduction

NEW QUESTION # 208
Your company uses a custom application to service thousands of users. The application is running on a Compute Engine and a Cloud SQL for PostgreSQL database. The company requires database passwords to be changed every 60-days. You need to ensure that the credentials used by the web application to connect to the database are managed securely. What should you do-

A. 1. Store the credentials to the database in Secret Manager.
2. Modify the application to retrieve the credentials from Secret Manager on startup.
3. Configure the rotation interval to 60-days.
B. 1. Configure IAM database authentication for the application to connect to the database.
2. Create an IAM user and map it to a separate database user for each application user.
C. 1. Store the credentials in a text file in a Cloud Storage bucket.
2. Modify the application to download the text file and retrieve the credentials on startup.
3. Update the text file every 60-days.
D. 1. Store the credentials in an encrypted text file in the application.
2. Use Cloud Key Management Service (Cloud KMS) to store the key for decrypting the text file.
3. Modify the application to decrypt the text file and retrieve the credentials on startup.
4. Update the text file every 60-days.

Answer: A

Explanation:
Secret Manager is the managed, secure store for your database credentials. By placing the Cloud SQL username and password there, configuring a 60-day rotation policy, and modifying your app to fetch them at startup, you get automatic credential rotation and audit logging with minimal code changes.

NEW QUESTION # 209
You support a consumer inventory application that runs on a multi-region instance of Cloud Spanner. A customer opened a support ticket to complain about slow response times. You notice a Cloud Monitoring alert about high CPU utilization. You want to follow Google-recommended practices to address the CPU performance issue. What should you do first?

A. Decrease the number of processing units.
B. Shard data required by the application into multiple instances.
C. Increase the number of processing units.
D. Modify the database schema, and add additional indexes.

Answer: C

Explanation:
In case of high CPU utilization like, mentioned in question, refer: https://cloud.google.com/spanner/docs
/identify-latency-point#:~:text=Check%20the%20CPU%20utilization%20of%20the%20instance.%20If%
20the%20CPU%20utilization%20of%20the%20instance%20is%20above%20the%20recommended%
20level%2C%20you%20should%20manually%20add%20more%20nodes%2C%20or%20set%20up%
20auto%20scaling. "Check the CPU utilization of the instance. If the CPU utilization of the instance is above the recommended level, you should manually add more nodes, or set up auto scaling." Indexes and schema are reviewed post identifying query with slow performance.Refer :https://cloud.google.com/spanner/docs
/troubleshooting-performance-regressions#review-schema

NEW QUESTION # 210
Your company is launching a new globally distributed application with strict requirements for low latency, strong consistency, zero downtime, and high availability (HA). You need to configure a scalable database solution to support anticipated rapid growth and optimal application performance. What should you do?

A. Create an AlloyDB instance in HA mode with a cross-region read replica.
B. Create a Cloud SQL instance in HA mode with a cross-region read replica.
C. Create a spanner instance across regions for optimal performance.
D. Implement Bigtable with replication across multiple regions and configure to prioritize data accuracy.

Answer: C

NEW QUESTION # 211
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