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

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

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q218-Q223):

NEW QUESTION # 218
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. 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.
B. 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.
C. 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.
D. 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.

Answer: C

NEW QUESTION # 219
You need to migrate existing databases from Microsoft SQL Server 2016 Standard Edition on a single Windows Server 2019 Datacenter Edition to a single Cloud SQL for SQL Server instance. During the discovery phase of your project, you notice that your on-premises server peaks at around 25,000 read IOPS. You need to ensure that your Cloud SQL instance is sized appropriately to maximize read performance. What should you do?

A. Create a SQL Server 2019 Standard on Standard machine type with 4 vCPUs, 15 GB of RAM, and 800 GB of solid-state drive (SSD).
B. Create a SQL Server 2019 Standard on High Memory machine type with at least 16 vCPUs, 104 GB of RAM, and 200 GB of SSD.
C. Create a SQL Server 2019 Enterprise on High Memory machine type with 16 vCPUs, 104 GB of RAM, and 500 GB of SSD.
D. Create a SQL Server 2019 Standard on High Memory machine type with 16 vCPUs, 104 GB of RAM, and 4 TB of SSD.

Answer: B

NEW QUESTION # 220
Your company is shutting down their data center and migrating several MySQL and PostgreSQL databases to Google Cloud. Your database operations team is severely constrained by ongoing production releases and the lack of capacity for additional on-premises backups. You want to ensure that the scheduled migrations happen with minimal downtime and that the Google Cloud databases stay in sync with the on-premises data changes until the applications can cut over. What should you do? (Choose two.)

A. Use Database Migration Service to migrate the databases to Cloud SQL.
B. Use a cross-region read replica to migrate the databases to Cloud SQL.
C. Use an external read replica to migrate the databases to Cloud SQL.
D. Use a read replica to migrate the databases to Cloud SQL.
E. Use replication from an external server to migrate the databases to Cloud SQL.

Answer: D,E

NEW QUESTION # 221
Your organization deployed a new version of a critical application that uses Cloud SQL for MySQL with high availability (HA) and binary logging enabled to store transactional information.
The latest release of the application had an error that caused massive data corruption in your Cloud SQL for MySQL database. You need to minimize data loss. What should you do?

A. Reload the Cloud SQL for MySQL database using the LOAD DATA command to load data from CSV files that were used to initialize the instance.
B. Perform a point-in-time recovery of your Cloud SQL for MySQL database, selecting a date and time before the data was corrupted.
C. Fail over to the Cloud SQL for MySQL HA instance. Use that instance to recover the transactions that occurred before the corruption.
D. Open the Google Cloud Console, navigate to SQL > Backups, and select the last version of the automated backup before the corruption.

Answer: B

NEW QUESTION # 222
You are migrating your critical production database from Amazon RDS for MySQL to Cloud SQL for MySQL by using Google Cloud's Database Migration Service. You want to keep disruption to your production database to a minimum and, at the same time, optimize migration performance.
What should you do-

A. Create a single Database Migration Service migration job with initial Load Parallelism configured to Maximum on the Amazon RDS for MySQL primary instance.
B. Create and start multiple Database Migration Service jobs to migrate your database to the target Cloud SQL for MySQL instance.
C. Upgrade the Amazon RDS for MySQL primary instance to an instance with more vCPUs and memory, and then run Google Cloud's Database Migration Service.
D. Create a single Database Migration Service migration job with initial load parallelism configured to maximum on the source Amazon RDS for MySQL read replica.

Answer: D

Explanation:
By pointing your single Database Migration Service job at an Amazon-RDS read replica and cranking initial-load parallelism to its maximum, you offload heavy full-load reads from production and ingest data faster into Cloud-SQL. This approach minimizes impact on your live primary instance while maximizing throughput during the initial load.

NEW QUESTION # 223
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