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Google Professional-Cloud-Database-Engineer Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Deploy scalable and highly available databases in Google Cloud	20%	- Automate deployment and scaling 1. Auto-scaling setup 2. Infrastructure as Code - Configure monitoring and alerting 1. Performance dashboards 2. Health checks and alerts - Implement high availability solutions 1. Read replicas deployment 2. Multi-region replication 3. Provision HA configurations
Topic 2: Migrate data solutions	14%	- Validate and cut over migration 1. Cutover procedures 2. Data integrity verification - Implement migration and replication 1. Schema conversion 2. Migration tool selection 3. Data replication methods - Design migration strategies 1. Downtime requirements analysis 2. Fall-back planning
Topic 3: Design innovative, scalable, and highly available cloud database solutions	32%	- Design for security and compliance 1. Data encryption 2. Access control and IAM 3. Compliance requirements - Design for high availability and reliability 1. Replication strategies 2. Disaster recovery planning 3. High availability configurations - Analyze variables for capacity and usage planning 1. Size compute and storage resources 2. Solution sizing based on workload and requirements 3. Evaluate performance and cost tradeoffs - Design for backup and recovery 1. Backup strategies 2. Data import/export planning 3. RTO and RPO design
Topic 4: Manage a solution that spans multiple database technologies	25%	- Optimize cost and performance 1. Automate operational tasks 2. Cost optimization 3. Scaling strategies - Configure monitoring and troubleshooting 1. Troubleshoot common issues 2. Performance monitoring 3. Query optimization - Determine connectivity and access management 1. User authentication and authorization 2. IAM policies and permissions - Manage database operations and maintenance 1. Updates and upgrades 2. Data lifecycle management 3. Index management

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q146-Q151):

NEW QUESTION # 146
Your retail company is currently using DynamoDB to store product catalog data. Due to increasing data volumes and the need for better scalability, cost efficiency, and AI features; you have decided to migrate your data to Bigtable. You want a cost-effective migration, with minimal downtime and minimal effort, while ensuring data consistency between the two databases. What should you do-

A. Create a Dataflow pipeline using the DynamoDBIO and BigtableIO connectors to stream data from DynamoDB to Bigtable in near real time.
B. Export the DynamoDB data to CSV files, upload them to Cloud Storage, and use the cbtCLI to import the data into Bigtable.
C. Use Dataproc to export the data from DynamoDB and load it into Bigtable.
D. Develop a custom script using the DynamoDB and Bigtable APIs to directly transfer data between the two databases.

Answer: A

Explanation:
The most efficient, low-downtime migration approach is to use a Dataflow pipeline with DynamoDBIO and BigtableIO connectors. This enables near real-time streaming replication from DynamoDB to Bigtable, ensuring ongoing consistency during migration. Once the pipeline is in place and synchronized, you can cut over with minimal downtime, making it cost-effective and requiring minimal manual effort compared to custom scripts or batch exports.

NEW QUESTION # 147
You are writing an application that will run on Cloud Run and require a database running in the Cloud SQL managed service. You want to secure this instance so that it only receives connections from applications running in your VPC environment in Google Cloud. What should you do?

A. 1. Create your instance with a specified external (public) IP address.
2. Choose the VPC and create firewall rules to allow only connections from Cloud Run into your instance.
3. Use Cloud SQL Auth proxy to connect to the instance.
B. 1. Create your instance with a specified internal (private) IP address.
2. Choose the VPC with private service connection configured.
3. Configure the Serverless VPC Access connector in the same VPC network as your Cloud SQL instance.
4. Use Cloud SQL Auth proxy to connect to the instance.
C. 1. Create your instance with a specified external (public) IP address.
2. Choose the VPC and create firewall rules to allow only connections from Cloud Run into your instance.
3. Connect to the instance using a connection pool to best manage connections to the instance.
D. 1. Create your instance with a specified internal (private) IP address.
2. Choose the VPC with private service connection configured.
3. Configure the Serverless VPC Access connector in the same VPC network as your Cloud SQL instance.
4. Connect to the instance using a connection pool to best manage connections to the instance.

Answer: D

Explanation:
https://cloud.google.com/sql/docs/mysql/connect-run#configurehttps://cloud.google.com/sql/docs/mysql
/connect-run#connection-pools

NEW QUESTION # 148
Your company is migrating all legacy applications to Google Cloud. All on-premises applications are using legacy Oracle 12c databases with Oracle Real Application Cluster (RAC) for high availability (HA) and Oracle Data Guard for disaster recovery. You need a solution that requires minimal code changes, provides the same high availability you have today on-premises, and supports a low latency network for migrated legacy applications. What should you do?

A. Migrate the databases to Cloud SQL, and enable a standby database.
B. Migrate the databases to Bare Metal Solution for Oracle.
C. Migrate the databases to Compute Engine using regional persistent disks.
D. Migrate the databases to Cloud Spanner.

Answer: B

NEW QUESTION # 149
You are the primary DBA of a Cloud SQL for PostgreSQL database that supports 6 enterprise applications in production. You used Cloud SQL Insights to identify inefficient queries and now need to identify the application that is originating the inefficient queries. You want to follow Google-recommended practices. What should you do?

A. Use query tags to add application-centric database monitoring.
B. Shut down and restart each application.
C. Write a utility to scan application logs.
D. Write a utility to scan database query logs.

Answer: A

NEW QUESTION # 150
You are the primary DBA of a Cloud SQL for PostgreSQL database that supports 6 enterprise applications in production. You used Cloud SQL Insights to identify inefficient queries and now need to identify the application that is originating the inefficient queries. You want to follow Google-recommended practices. What should you do?

A. Write a utility to scan database query logs.
B. Shut down and restart each application.
C. Write a utility to scan application logs.
D. Use query tags to add application-centric database monitoring.

Answer: A

NEW QUESTION # 151
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