[NEW] Google Cloud Professional Cloud Database Engineer

Manage Multi-Database Solutions (20%): Mastering regional vs. multi-regional deployments, maintenance scheduling, and auditing policies.

Migrate Data Solutions (16%): Selecting the right Google Cloud database service (relational vs. NoSQL) and analyzing total cost of ownership (TCO).

Deploy High Availability and Disaster Recovery (32%): Implementing and testing DR strategies and provisioning highly available managed services.

B. Cloud Spanner

C. Cloud Bigtable

D. Firestore in Native mode

E. Bare Metal Solution for Oracle

F. Memorystore for Redis

Correct Answer: B

Explanation:

A (Incorrect): Cloud SQL is primarily a regional service and does not offer global horizontal write scaling.

C (Incorrect): Bigtable is a NoSQL service, not relational.

D (Incorrect): While Firestore is global and NoSQL, the requirement specifically asks for a relational database.

E (Incorrect): This is for lifting and shifting legacy workloads, not a native scalable cloud-relational solution.

F (Incorrect): Memorystore is an in-memory data store used for caching, not persistent global relational storage.

Question 2: Which strategy provides the lowest Recovery Time Objective (RTO) for a Cloud SQL instance in the event of a total zonal failure?

B. Manually creating a new instance and importing a CSV file.

C. Enabling High Availability (HA) with a regional configuration and automatic failover.

D. Using a cross-region read replica and manually promoting it.

E. Point-in-time recovery (PITR) using write-ahead logs.

F. Exporting data to Cloud Storage and re-importing it.

Correct Answer: C

Explanation:

A (Incorrect): Restoring from a backup is slow and results in high RTO and RPO.

B (Incorrect): Manual imports are the slowest possible recovery method.

D (Incorrect): While useful for regional failure, it is slower than the automatic zonal failover provided by HA.

E (Incorrect): PITR is for data corruption or accidental deletion, not for immediate infrastructure failover.

F (Incorrect): This is a migration or backup strategy, not a high-availability solution.

Question 3: A team needs to store large amounts of analytical data with sub-10ms latency for a real-time dashboard. The data is non-relational and follows a time-series pattern. Which solution is most cost-effective?

B. BigQuery with frequent streaming inserts

C. Cloud Bigtable

D. Cloud SQL with a very large disk

E. Firestore in Datastore mode

F. Persistent Disk attached to a GCE instance

Correct Answer: C

Explanation:

A (Incorrect): Coldline is for archival storage, not real-time, low-latency access.

B (Incorrect): While BigQuery is great for analytics, it doesn't typically provide sub-10ms latency for frequent individual row lookups.

D (Incorrect): Cloud SQL is relational and would struggle with the scale and latency requirements of high-throughput time-series data.

E (Incorrect): Firestore is better for document-style data rather than massive analytical time-series workloads.

F (Incorrect): Managing your own database on GCE is less cost-effective and harder to scale than using the managed Bigtable service.

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