GCP DMS Test

This topic evaluates the candidate’s ability to manage schema conversion and data transformation between source and target databases. This involves converting and mapping database schemas, managing discrepancies in data types, and handling complex schema elements like stored procedures, triggers, views, and user-defined functions (UDFs). Candidates will also be tested on the use of schema conversion tools such as Database Migration Workbench to automate and streamline transformations.

Focuses on the configuration and management of continuous data replication and Change Data Capture (CDC) for minimal downtime database migrations. Candidates will need to demonstrate how to set up CDC to synchronize changes between the source and target databases during migration. They will also be evaluated on their ability to handle replication conflicts, ensure data consistency across distributed environments, and optimize replication performance during migration.

This topic assesses a candidate's ability to effectively monitor and troubleshoot migration processes using Google Cloud tools such as Cloud Monitoring, Cloud Logging, and Error Reporting. Key areas include setting up custom alerts, using logs to detect and address issues such as connectivity errors, performance degradation, schema conversion failures, and replication lags. Candidates will also be tested on identifying root causes and implementing proactive monitoring strategies.

This topic focuses on configuring secure and reliable network setups for database migration. It covers network architecture, including setting up VPNs, firewall rules, IAM roles, and configuring encryption for data in transit and at rest. At the advanced level, candidates will be expected to secure cross-region migrations and handle the complexities of multi-cloud network environments. Candidates will also be tested on implementing role-based access controls (RBAC) and ensuring regulatory compliance.

Evaluates the ability to optimize database performance during and post-migration. This includes fine-tuning queries, optimizing database indexing, applying partitioning, and managing database workloads for better performance in Google Cloud environments such as Cloud SQL or BigQuery. Advanced questions assess a candidate’s knowledge of query execution plans, performance bottlenecks, and techniques for reducing latency in large-scale, high-performance migrations.

Tests the ability to handle cross-region and multi-cloud database migrations. This involves planning and executing migrations between different regions or cloud providers (e.g., AWS to GCP). Candidates will need to manage latency, data consistency, and security policies across environments. Advanced topics include orchestrating multi-cloud migrations using custom automation and workflows, securing data in transit across cloud providers, and ensuring business continuity during complex migrations.

Focuses on strategies for ensuring business continuity during and after database migrations. Candidates will be tested on designing disaster recovery solutions, setting up failover mechanisms, and configuring backup and restore strategies to ensure minimal disruption to critical business operations. Advanced questions will cover the setup of high availability (HA) architectures, multi-zone and multi-region failover planning, and managing recovery time objectives (RTOs) and recovery point objectives (RPOs).

This topic focuses on leveraging GCP DMS APIs to automate migration processes and create custom workflows for large-scale database migrations. Candidates will be evaluated on their ability to integrate DMS with other Google Cloud services (e.g., Cloud Functions, Pub/Sub) to trigger automated tasks and manage migration stages. Advanced questions will involve using APIs to orchestrate multi-step migrations, custom error handling, and implementing performance monitoring via automated workflows.

Tests the candidate’s understanding of data compliance and governance during database migration. This includes ensuring that migration processes adhere to industry regulations (e.g., GDPR, HIPAA) and best practices for data handling, encryption, and access control. Advanced topics include audit logging, implementing robust data governance policies, and ensuring that sensitive data is encrypted both in transit and at rest throughout the migration process.