Google Professional Data Engineer Question 59
Select 4Google Cloud PlatformYou are tasked with migrating a large-scale data processing application from an on-premises data center to Google Cloud. To ensure the migration is successful, you need to design a robust migration validation strategy. Which steps should you include in your strategy to validate the migration effectively?
- A
Define clear acceptance criteria for data consistency and performance before starting the migration.
- B
Perform a one-time data load into Google Cloud without validation to speed up the migration process.
- C
Use parallel processing to validate data integrity between the source and target systems during migration.
- D
Implement monitoring and logging to track data pipeline performance before, during, and after migration.
- E
Test the migrated system with simulated workloads to analyze performance and scalability.
Show answer and explanation
Correct answers: A, C, D, E
Explanation
A comprehensive migration validation strategy involves steps to ensure data consistency, integrity, and system performance. Clear acceptance criteria define the success parameters for the migration. Validating data integrity and monitoring pipelines ensure that the migration process is reliable and traceable. Finally, testing the migrated system with simulated workloads ensures that it performs well in production scenarios. Skipping validation, however, poses significant risks and should be avoided.
- A. Correct.
Defining clear acceptance criteria for data consistency and performance is crucial to ensure that the migrated data meets business requirements and is validated effectively.
- B. Incorrect.
Skipping validation to speed up the migration process is not recommended, as it can lead to undetected data corruption or inconsistencies.
- C. Correct.
Using parallel processing to validate data integrity ensures that data in the source and target systems match during migration, which is an essential part of the validation strategy.
- D. Correct.
Monitoring and logging provide visibility into data pipeline performance and help identify any issues before they impact the migrated system.
- E. Correct.
Testing with simulated workloads helps verify that the migrated system performs as expected under real-world scenarios, ensuring scalability and reliability.