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

Section	Objectives
Migrating data solutions	- Plan and execute migrations 1. Use Database Migration Service 2. Migrate on-premises databases to Google Cloud 3. Validate migrated workloads
Optimizing database performance	- Improve database efficiency 1. Optimize storage and compute resources 2. Troubleshoot performance bottlenecks 3. Tune queries and indexes
Designing scalable and highly available cloud database solutions	- Select appropriate database services 1. Design globally distributed architectures 2. Choose relational and non-relational databases 3. Plan scalability and availability strategies
Securing and ensuring compliance of database solutions	- Implement security best practices 1. Configure IAM and access controls 2. Enable encryption and auditing 3. Ensure compliance and governance
Managing database solutions	- Deploy and administer databases 1. Implement monitoring and alerting 2. Configure backups and recovery 3. Manage maintenance and upgrades

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q111-Q116):

NEW QUESTION # 111
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. Fail over to the Cloud SQL for MySQL HA instance. Use that instance to recover the transactions that occurred before the corruption.
C. Open the Google Cloud Console, navigate to SQL > Backups, and select the last version of the automated backup before the corruption.
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

Explanation:
Binary Logging enabled, with that you can identify the point of time the data was good and recover from that point time. https://cloud.google.com/sql/docs/mysql/backup-recovery/pitr#perform_the_point-in-time_recovery_using_binary_log_positions

NEW QUESTION # 112
Your online delivery business that primarily serves retail customers uses Cloud SQL for MySQL for its inventory and scheduling application. The required recovery time objective (RTO) and recovery point objective (RPO) must be in minutes rather than hours as a part of your high availability and disaster recovery design. You need a high availability configuration that can recover without data loss during a zonal or a regional failure. What should you do?

A. Set up read replicas in different zones of the same region as the primary instance with asynchronous replication, and set up read replicas in different regions with synchronous replication.
B. Set up all read replicas in the same region as the primary instance with synchronous replication.
C. Set up all read replicas in a different region using asynchronous replication.
D. Set up read replicas in different zones of the same region as the primary instance with synchronous replication, and set up read replicas in different regions with asynchronous replication.

Answer: D

Explanation:
This answer meets the RTO and RPO requirements by using synchronous replication within the same region, which ensures that all writes made to the primary instance are replicated to disks in both zones before a transaction is reported as committed1. This minimizes data loss and downtime in case of a zonal or an instance failure, and allows for a quick failover to the standby instance1.
This answer also meets the high availability and disaster recovery requirements by using asynchronous replication across different regions, which ensures that the data changes made to the primary instance are replicated to the read replicas in other regions with minimal delay2. This provides additional redundancy and backup in case of a regional failure, and allows for a manual failover to the read replica in another region2.

NEW QUESTION # 113
In Cloud SQL for MySQL, which deployment achieves high availability and disaster recovery while maintaining low read and write latency in the primary region?

A. Single zonal Cloud SQL instance
B. Cloud SQL primary in one region with cross region read replica
C. AlloyDB for PostgreSQL
D. Cloud SQL primary in one zone with same region read replica in another zone

Answer: D

Explanation:
This design keeps all traffic within the primary region so application read and write latency remains low. Placing the replica in a different zone provides resilience to zonal failures which delivers high availability. You can promote the replica quickly if the primary becomes unavailable which supports disaster recovery objectives without routing data across regions. Replication is asynchronous which limits write impact on the primary and it also adds local read capacity.

NEW QUESTION # 114
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 a spanner instance across regions for optimal performance.
B. Implement Bigtable with replication across multiple regions and configure to prioritize data accuracy.
C. Create a Cloud SQL instance in HA mode with a cross-region read replica.
D. Create an AlloyDB instance in HA mode with a cross-region read replica.

Answer: A

NEW QUESTION # 115
Your organization deploys a high-volume, low-latency sensor data ingestion system. Resilience is crucial, and the workload is expected to grow significantly over time. You need to design a database tier on Google Cloud to ensure faster performance and high availability, while following Google-recommended practices. What should you do-

A. Deploy multiple Bigtable clusters, shard data manually across them, and set up the application logic for fault tolerance.
B. Deploy a single-region Bigtable instance and increase the nodes to maximize data durability.
C. Provision a multi-zone Bigtable cluster, configure replication, perform an application stress-test, and set up performance monitoring.
D. Deploy a single-zone Bigtable cluster and optimize the application code for maximum write throughput.

Answer: C

Explanation:
Provisioning a multi-zone Cloud Bigtable cluster gives you zonal failover for high availability and lets Bigtable's built-in replication optimize throughput and latency as ingest load grows.
Performing an application stress test validates cluster sizing under peak writes, and ongoing performance monitoring ensures you can scale nodes proactively - all matching Google's best practices.

NEW QUESTION # 116
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