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| Section | Objectives |
|---|
| Ensure reliability, performance, and optimization | - Security and compliance
- 1. Encryption at rest and in transit
- 2. IAM roles and access control
- Performance optimization
- 1. Workload tuning across database services
- 2. Indexing, query optimization, and caching strategies
|
| Manage a database solution spanning multiple systems | - Operational database management
- 1. Backup and restore strategies
- 2. Monitoring and performance tuning
- 3. Capacity planning and scaling
|
| Design scalable and highly available database solutions | - Select appropriate database services (relational, NoSQL, analytical)
- 1. Firestore and document database patterns
- 2. Bigtable use cases and schema design
- 3. Cloud SQL vs AlloyDB vs Spanner selection criteria
- Design for high availability and disaster recovery
- 1. Replication strategies and failover design
- 2. Regional vs multi-regional architectures
|
| Migrate data solutions to Google Cloud | - Database migration strategies
- 1. Online vs offline migration tools (e.g., Database Migration Service)
- 2. Lift-and-shift vs re-platforming
|
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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q140-Q145):
NEW QUESTION # 140
You are managing a Cloud SQL for PostgreSQL instance in Google Cloud. You have a primary instance in region 1 and a read replica in region 2. After a failure of region 1, you need to make the Cloud SQL instance available again. You want to minimize data loss and follow Google-recommended practices. What should you do?
- A. Restore the Cloud SQL instance from the automatic backups in another zone in region 1.
- B. Restore the Cloud SQL instance from the automatic backups in region 3.
- C. Check "Lag Bytes" in the monitoring dashboard for the primary instance in the read replica instance. Check the replication status using pg_catalog.pg_last_wal_receive_lsn(). Then, fail over to region 2 by promoting the read replica instance.
- D. Check your instance operational log for the automatic failover status. Look for time, type, and status of the operations. If the failover operation is successful, no action is necessary. Otherwise, manually perform gcloud sql instances failover .
Answer: C
Explanation:
https://cloud.google.com/sql/docs/postgres/replication/cross-region-replicas#disaster_recovery
NEW QUESTION # 141
Your company is adopting AlloyDB for a business-critical application with the following requirements:
- RTO: Under 4 hours
- RPO: 6 hours (maximum data loss tolerance)
- Daily backups with a 7-day retention period
You need to design a solution to meet these requirements.
What should you do?
- A. Configure automatic backups and enable continuous backup and recovery.
- B. Make a daily backup and store on Cloud Storage.
- C. Set a longer retention period for automatic backups.
- D. Disable automatic backups and manually export data to Cloud Storage.
Answer: A
Explanation:
Configuring automatic backups with continuous backup and recovery in AlloyDB provides point- in-time recovery within the RPO window, fast restoration to meet the RTO requirement, and supports daily backups with retention policies, satisfying all recovery and data protection requirements simultaneously.
NEW QUESTION # 142
Which connection method should applications use to connect to a regional Cloud Memorystore for Redis instance to keep 99th percentile latency under 4 milliseconds while minimizing operational overhead?
- A. Use a regional load balancer in front of Redis
- B. Use the Redis private IP in the same VPC and region
- C. Private Service Connect
Answer: B
Explanation:
Connecting directly over the instance private address within the same network and region keeps the path short and predictable which helps keep the 99th percentile latency under four milliseconds. This direct approach has no extra proxies and no cross region hops and it also minimizes operational overhead because there is nothing to deploy or manage between your clients and the managed Redis endpoint.
NEW QUESTION # 143
You are building an Android game that needs to store data on a Google Cloud serverless database. The database will log user activity, store user preferences, and receive in-game updates. The target audience resides in developing countries that have intermittent internet connectivity. You need to ensure that the game can synchronize game data to the backend database whenever an internet network is available. What should you do?
- A. Use Cloud Spanner.
- B. Use Cloud SQL with an external (public) IP address.
- C. Use Firestore.
- D. Use an in-app embedded database.
Answer: C
Explanation:
https://firebase.google.com/docs/firestore
NEW QUESTION # 144
Your project is using Bigtable to store data that should not be accessed from the public internet under any circumstances, even if the requestor has a valid service account key. You need to secure access to this data.
What should you do?
- A. Use Google Cloud Armor to add IP addresses to an allowlist.
- B. Use customer-managed encryption keys (CMEK).
- C. Use VPC Service Controls to create a trusted network for the Bigtable service.
- D. Use Identity and Access Management (IAM) for Bigtable access control.
Answer: C
Explanation:
"Users can define a security perimeter around Google Cloud resources such as Cloud Storage buckets, Bigtable instances, and BigQuery datasets to constrain data within a VPC and control the flow of data."
https://cloud.google.com/vpc-service-controls
NEW QUESTION # 145
......
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