Data warehousing Scenario-Based Questions

1. A client has requested you to create a data warehouse that consolidates data from multiple sources, including a legacy system that is known to have inconsistent data formats. How would you approach this project to ensure data integrity?

2. During a routine audit, you discover that the data warehouse contains duplicate records which are affecting report accuracy. How would you identify and resolve this issue without disrupting current operations?

3. You are tasked with optimizing the performance of a data warehouse that has seen a significant increase in load times during peak usage. What steps would you take to analyze and improve overall performance?

4. A user reports that a critical report is returning incomplete data due to a recent change in the data model. How would you investigate the issue and communicate the findings to both technical and non-technical stakeholders?

5. You were informed that a data migration from an on-premises warehouse to the cloud resulted in performance degradations and increased costs. What strategies would you implement to mitigate these problems moving forward?

6. Your organization is experiencing rapid growth, and the data warehouse needs to scale accordingly. What considerations would you take into account when designing a scalable architecture for the future?

7. You notice that data quality issues are becoming more frequent in your data warehouse as new sources are integrated. How do you implement a robust data governance strategy to handle this challenge?

8. A critical business team is unhappy with the sluggish performance of their analytics tools connected to the data warehouse. Describe how you would identify the root cause and present a plan for improvement.

9. You receive feedback that the ETL process used to load data into the warehouse is taking too long, affecting data freshness. What techniques would you employ to optimize the ETL processes?

10. There has been a breach of sensitive data and you are required to assess the impact on the data warehouse. What steps will you take to correct security vulnerabilities and improve data protection moving forward?