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

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

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q102-Q107):

NEW QUESTION # 102
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. Open the Google Cloud Console, navigate to SQL > Backups, and select the last version of the automated backup before the corruption.
B. Fail over to the Cloud SQL for MySQL HA instance. Use that instance to recover the transactions that occurred before the corruption.
C. 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.
D. Perform a point-in-time recovery of your Cloud SQL for MySQL database, selecting a date and time before the data was corrupted.

Answer: D

NEW QUESTION # 103
You are migrating a telehealth care company's on-premises data center to Google Cloud. The migration plan specifies:
PostgreSQL databases must be migrated to a multi-region backup configuration with cross-region replicas to allow restore and failover in multiple scenarios.
MySQL databases handle personally identifiable information (PII) and require data residency compliance at the regional level.
You want to set up the environment with minimal administrative effort. What should you do?

A. Set up Pub/Sub to ingest data from Cloud Logging, send an alert every time a new database instance is created, and manually validate the region.
B. Set up different projects for PostgreSQL and MySQL databases, and apply organizational policy constraints at a project level.
C. Set up Cloud Logging and Cloud Monitoring with Cloud Functions to send an alert every time a new database instance is created, and manually validate the region.
D. Set up different organizations for each database type, and apply policy constraints at the organization level.

Answer: D

NEW QUESTION # 104
You are the DBA of your organization. You provided a cloned instance from the production Cloud SQL for PostgreSQL database to the developers for testing purposes. After the creation of the clone, your developers notice missing data in one of the recently altered tables. What should you do to ensure that all data is included-

A. Clone the current production database, and restore it to an earlier point-in-time (PITR). Provide access to the cloned instance to the developers.
B. Check for missing roles and privileges in the cloned Cloud SQL instance. Grant missing privileges to the developers.
C. Dump the production database to a file. Modify the dumped file to ALTER TABLEto SET LOGGED on tables that were unlogged in production. Reload the data in the new Cloud SQL for PostgreSQL instance.
D. Take a back up of the production database, and restore it to another Cloud SQL for PostgreSQL instance. Provide access to the new instance to the developers.

Answer: C

Explanation:
Cloud SQL's instance-level backups, PITR, and clones do not include unlogged tables (since they bypass WAL). To capture that missing data you must perform a logical dump (pg_dump) of the entire database, convert the unlogged table definitions to logged in the dump file (so they'll persist), and then reload into the new Cloud SQL instance. This ensures all rows from those formerly unlogged tables are preserved.

NEW QUESTION # 105
You have deployed a Cloud SQL for SQL Server instance. In addition, you created a cross-region read replica for disaster recovery (DR) purposes. Your company requires you to maintain and monitor a recovery point objective (RPO) of less than 5 minutes. You need to verify that your cross-region read replica meets the allowed RPO. What should you do?

A. Use the Cloud Monitoring dashboard with available metrics from Cloud SQL.
B. Use the SQL Server Always On Availability Group dashboard.
C. Use Cloud SQL instance monitoring.
D. Use Cloud SQL logs.

Answer: B

Explanation:
Note, you cannot create a read replica in Cloud SQL for SQL Server unless you use an Enterprise Edition. Which is also a requirement for configuring SQL Server AG. That's not a coincidence. That's how Cloud SQL for SQL Server creates SQL Server read replicas. To find out about the replication, use the AG Dashboard in SSMS. https://cloud.google.com/sql/docs/sqlserver/replication/manage-replicas#promote-replica

NEW QUESTION # 106
You are running an instance of Cloud Spanner as the backend of your ecommerce website. You learn that the quality assurance (QA) team has doubled the number of their test cases. You need to create a copy of your Cloud Spanner database in a new test environment to accommodate the additional test cases. You want to follow Google-recommended practices. What should you do?

A. Use Dataflow to run the export in text format.
B. Use Cloud Functions to run the export in Avro format.
C. Use Dataflow to run the export in Avro format.
D. Use Cloud Functions to run the export in text format.

Answer: C

Explanation:
https://cloud.google.com/spanner/docs/import-export-overview#file-format

NEW QUESTION # 107
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