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| Section | Weight | Objectives |
|---|
| Topic 1: Migrate data solutions | 14% | - Implement migration and replication
- 1. Migration tool selection
- 2. Data replication methods
- 3. Schema conversion
- Validate and cut over migration
- 1. Cutover procedures
- 2. Data integrity verification
- Design migration strategies
- 1. Fall-back planning
- 2. Downtime requirements analysis
|
| Topic 2: Design innovative, scalable, and highly available cloud database solutions | 32% | - Design for high availability and reliability
- 1. Replication strategies
- 2. Disaster recovery planning
- 3. High availability configurations
- Design for backup and recovery
- 1. Data import/export planning
- 2. RTO and RPO design
- 3. Backup strategies
- Design for security and compliance
- 1. Access control and IAM
- 2. Data encryption
- 3. Compliance requirements
- 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
|
| Topic 3: Deploy scalable and highly available databases in Google Cloud | 20% | - Implement high availability solutions
- 1. Read replicas deployment
- 2. Provision HA configurations
- 3. Multi-region replication
- Configure monitoring and alerting
- 1. Performance dashboards
- 2. Health checks and alerts
- Automate deployment and scaling
- 1. Auto-scaling setup
- 2. Infrastructure as Code
|
| 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. Data lifecycle management
- 3. Updates and upgrades
- Configure monitoring and troubleshooting
- 1. Performance monitoring
- 2. Troubleshoot common issues
- 3. Query optimization
- Optimize cost and performance
- 1. Scaling strategies
- 2. Automate operational tasks
- 3. Cost optimization
|
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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q66-Q71):
NEW QUESTION # 66
Your company wants to migrate an Oracle-based application to Google Cloud. The application team currently uses Oracle Recovery Manager (RMAN) to back up the database to tape for long-term retention (LTR). You need a cost-effective backup and restore solution that meets a 2-hour recovery time objective (RTO) and a 15-minute recovery point objective (RPO). What should you do?
- A. Migrate the Oracle databases to Bare Metal Solution for Oracle, and store backups on tapes on-premises.
- B. Migrate the Oracle databases to Compute Engine, and store backups on tapes on-premises.
- C. Migrate the Oracle databases to Bare Metal Solution for Oracle, and back up the Oracle databases to Cloud Storage using the Standard Storage class.
- D. Migrate the Oracle databases to Bare Metal Solution for Oracle, and use Actifio to store backup files on Cloud Storage using the Nearline Storage class.
Answer: D
Explanation:
https://www.actifio.com/solutions/cloud/google/
NEW QUESTION # 67
Which Google Cloud pairing offers a fully managed MongoDB service with live migration that supports continuous schema changes, data validation, rapid rollback, and cutover in under 20 minutes?
- A. Cloud Dataflow with MongoDB connector and Firestore in Native mode
- B. Database Migration Service and AlloyDB for PostgreSQL
- C. MongoDB Atlas Live Migration and MongoDB Atlas on Google Cloud
Answer: C
Explanation:
MongoDB Atlas provides a fully managed MongoDB service on Google Cloud with automated operations, scaling, and high availability. Atlas Live Migration performs an initial sync then continuously replicates changes from the source, which allows you to keep applications online while you validate data and adjust schemas. It supports data validation and enables a quick cutover with the ability to roll back by directing traffic back to the source if needed.
NEW QUESTION # 68
You are migrating your company's critical ecommerce platform from an on-premises PostgreSQL database (utilizing PostgreSQL stored procedures) to a highly available solution on Google Cloud. The platform requires an extremely low downtime (Recovery Time Objective (RTO) - 5 minutes) and minimal data loss (Recovery Point Objective - 30 seconds). The platform serves a global customer base with peak traffic distributed across multiple continents, though the primary transactional data resides in a single geographic region for regulatory compliance. You need to design a cloud database solution that meets the RTO/RPO requirements while optimizing for global read access and local transactional integrity. What should you do-
- A. Deploy an AlloyDB cluster in the primary region with a high-availability instance configuration, and establish cross-region read replicas in another region for global read scaling.
- B. Deploy a single-region AlloyDB cluster with a primary instance and a read replica in the same zone.
- C. Implement a single-instance Spanner deployment configured for multi-regional data replication.
- D. Implement a multi-regional Cloud SQL for PostgreSQL deployment with read replicas in different regions, and configure asynchronous replication for cross-region data consistency.
Answer: A
Explanation:
AlloyDB is PostgreSQL-compatible (including stored procedures) and provides regional high availability with automatic failover that meets a 5-minute RTO. Cross-region read replicas use low-lag asynchronous replication suitable for a 30-second RPO while keeping writes in a single compliant region. This design delivers local transactional integrity and globally scaled reads with minimal downtime and data loss.
NEW QUESTION # 69
You have an application that sends banking events to Bigtable cluster-a in us-east. You decide to add cluster-b in us-central1. Cluster-a replicates data to cluster-b. You need to ensure that Bigtable continues to accept read and write requests if one of the clusters becomes unavailable and that requests are routed automatically to the other cluster. What deployment strategy should you use?
- A. Use the default app profile with single-cluster routing.
- B. Create a custom app profile with multi-cluster routing.
- C. Create a custom app profile with single-cluster routing.
- D. Use the default app profile with multi-cluster routing.
Answer: B
Explanation:
https://cloud.google.com/bigtable/docs/app-profiles#default-app-profile The question states that a single cluster existed first, then a second cluster was added. Google's documentation states, "if you created the instance with one cluster, the default app profile uses single-cluster routing. This ensures that adding additional clusters later does not change the behavior of your existing applications". Simply adding a second cluster does not change the default profile from single-cluster routing to multi-cluster routing. Since you need multi-cluster routing, you're going to need a custom app profile. So C is correct. https://cloud.google.com/bigtable/docs/app-profiles#default-app-profile
NEW QUESTION # 70
You are configuring a new application that has access to an existing Cloud Spanner database.
The new application reads from this database to gather statistics for a dashboard. You want to follow Google-recommended practices when granting Identity and Access Management (IAM) permissions. What should you do?
- A. Create a new service account, and grant it the Cloud Spanner Database Reader role.
- B. Create a new service account, and grant it the Cloud Spanner Database Admin role.
- C. Create a new service account, and grant it the spanner.databases.select permission.
- D. Reuse the existing service account that populates this database.
Answer: A
Explanation:
spanner.database.select is not enough, you also need a spanner.database.read which is included in Cloud Spanner Database Reader role.
NEW QUESTION # 71
......
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