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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%	- Design for backup and recovery 1. Backup strategies 2. RTO and RPO design 3. Data import/export planning - Design for security and compliance 1. Access control and IAM 2. Data encryption 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. Solution sizing based on workload and requirements 2. Evaluate performance and cost tradeoffs 3. Size compute and storage resources
Topic 2: Migrate data solutions	14%	- Design migration strategies 1. Fall-back planning 2. Downtime requirements analysis - Validate and cut over migration 1. Data integrity verification 2. Cutover procedures - Implement migration and replication 1. Schema conversion 2. Data replication methods 3. Migration tool selection
Topic 3: 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 - Automate deployment and scaling 1. Auto-scaling setup 2. Infrastructure as Code - Configure monitoring and alerting 1. Performance dashboards 2. Health checks and alerts
Topic 4: Manage a solution that spans multiple database technologies	25%	- Determine connectivity and access management 1. User authentication and authorization 2. IAM policies and permissions - Manage database operations and maintenance 1. Index management 2. Updates and upgrades 3. Data lifecycle management - Optimize cost and performance 1. Scaling strategies 2. Automate operational tasks 3. Cost optimization - Configure monitoring and troubleshooting 1. Query optimization 2. Troubleshoot common issues 3. Performance monitoring

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q184-Q189):

NEW QUESTION # 184
You use Python scripts to generate weekly SQL reports to assess the state of your databases and determine whether you need to reorganize tables or run statistics. You want to automate this report but need to minimize operational costs and overhead. What should you do?

A. Create a Cloud Function, and call the Cloud Function from a Cloud Tasks queue.
B. Create a VM in Compute Engine, and run a cron job.
C. Create a Cloud Composer instance, and create a directed acyclic graph (DAG).
D. Create a Cloud Function, and call the Cloud Function using Cloud Scheduler.

Answer: D

NEW QUESTION # 185
Your hotel booking company is expanding into Country A, where personally identifiable information (PII) must comply with regional data residency requirements and audits. You need to isolate customer data in Country A from the rest of the customer data. You want to design a multi- tenancy strategy to efficiently manage costs and operations. What should you do?

A. Apply a table data management pattern.
B. Apply a schema data management pattern.
C. Apply a database data management pattern.
D. Apply an instance data management pattern.

Answer: D

Explanation:
https://cloud.google.com/solutions/implementing-multi-tenancy-cloud-spanner#multi-tenancy-data-management-patterns

NEW QUESTION # 186
You released a popular mobile game and are using a 50 TB Cloud Spanner instance to store game data in a PITR-enabled production environment. When you analyzed the game statistics, you realized that some players are exploiting a loophole to gather more points to get on the leaderboard. Another DBA accidentally ran an emergency bugfix script that corrupted some of the data in the production environment. You need to determine the extent of the data corruption and restore the production environment. What should you do?
(Choose two.)

A. If the corruption is insignificant, use backup and restore, and specify a recovery timestamp.
B. If the corruption is significant, use backup and restore, and specify a recovery timestamp.
C. If the corruption is significant, perform a stale read and specify a recovery timestamp. Write the results back.
D. If the corruption is insignificant, perform a stale read and specify a recovery timestamp. Write the results back.
E. If the corruption is significant, use import and export.

Answer: B,D

Explanation:
https://cloud.google.com/spanner/docs/pitr#ways-to-recover
To recover the entire database, backup or export the database specifying a timestamp in the past and then restore or import it to a new database. This is typically used to recover from data corruption issues when you have to revert the entire database to a point-in-time before the corruption occurred.
This part describes significant corruption - A
To recover a portion of the database, perform a stale read specifying a query-condition and timestamp in the past, and then write the results back into the live database. This is typically used for surgical operations on a live database. For example, if you accidentally delete a particular row or incorrectly update a subset of data, you can recover it with this method.
This describes insignificant corruption case - E
https://cloud.google.com/spanner/docs/pitrhttps://cloud.google.com/spanner/docs/backup/restore-backup

NEW QUESTION # 187
You are planning connectivity for a global retail analytics service that runs in multiple Google Cloud regions and must reach a Cloud Spanner database with very low latency, strong security, and high reliability. Which connection approach should the application adopt to satisfy these requirements?

A. Access Cloud Spanner through the REST API from the app and add a cache layer to improve response time
B. Use the Cloud Spanner client libraries with a regional instance and enable connection pooling
C. Use the Cloud Spanner client libraries against a multi-region instance and configure connection pooling
D. Connect to a fixed public IP address on the Cloud Spanner instance and enable SSL

Answer: C

Explanation:
A multi-region Cloud Spanner instance provides globally distributed replicas with strong consistency and very high availability, which aligns with the needs of a global application. The client libraries use efficient gRPC connections and integrate with IAM for strong authentication and authorization. Connection pooling minimizes session and channel creation overhead, which improves throughput and tail latency while increasing reliability through automatic retries and health checks.

NEW QUESTION # 188
Your organization is migrating 50 TB Oracle databases to Bare Metal Solution for Oracle.
Database backups must be available for quick restore. You also need to have backups available for 5 years. You need to design a cost-effective architecture that meets a recovery time objective (RTO) of 2 hours and recovery point objective (RPO) of 15 minutes. What should you do?

A. 1. Create the database on a Bare Metal Solution server with the database running on flash storage.
2. Keep a local backup copy on standard storage.
3. Use the Oracle Recovery Manager (RMAN) backup utility to move backups older than one day to a Coldline Storage bucket.
B. 1. Create the database on a Bare Metal Solution server with the database running on flash storage.
2. Keep a local backup copy on all flash storage.
3. Use the Oracle Recovery Manager (RMAN) backup utility to move backups older than one day to an Archive Storage bucket.
C. 1 Create the database on a Bare Metal Solution server with the database running on flash storage.
2. Keep a local backup copy on all flash storage.
3. Keep backups older than one day stored in Actifio OnVault storage.
D. 1 Create the database on a Bare Metal Solution server with the database running on flash storage.
2. Keep a local backup copy on standard storage.
3. Keep backups older than one day stored in Actifio OnVault storage.

Answer: D

Explanation:
https://cloud.google.com/backup-disaster-recovery/docs/concepts/backupdr-for-oracle#oracle_backup_apis

NEW QUESTION # 189
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