1) When testing for data truncation in ETL, what would be the primary focus?
2) An ETL process involves loading data from multiple systems, and you need to validate that all sources were loaded correctly. What would you check?
3) Which of the following is an example of a data transformation that needs special validation when testing an ETL pipeline?
4) If an ETL process has been modified to improve performance, which test case should be prioritized?
5) During ETL testing, you observe that rows with specific column values are not getting loaded into the target table. What could be the probable cause?
6) Which validation step is necessary to confirm that an ETL process is accurately handling referential integrity constraints?
7) During data validation, you encounter a discrepancy between the number of rows in the source and target tables. Which approach would best identify the issue?
8) To validate that the ETL process maintains data accuracy after adding a new transformation, which approach would be most effective?
9) When testing ETL processes with sensitive data, which security measure should be prioritized?
10) A new ETL pipeline involves aggregating data from daily source loads into a monthly summary. Which test case would ensure data accuracy?
11) In ETL Testing, what would you prioritize when dealing with high-volume data migration?
12) An ETL process populates several target tables with data from different sources. What would ensure that all tables receive data without omission?
13) If a column transformation rule states that negative values should be converted to NULL in the target, what test would you implement?
14) When verifying the ETL pipeline that captures time zone conversions, what is critical to test?
15) A data quality rule requires that address fields have consistent format. How would you validate this in ETL testing?
16) You are testing an ETL pipeline that migrates customer data from a legacy system to a cloud data warehouse. Which of the following should be a priority in your test cases?
17) In a healthcare ETL project, you need to ensure patient data is anonymized before it reaches the data warehouse. What type of testing should be emphasized to verify compliance?
18) A financial services ETL project requires daily incremental loading to process transactions without reloading the entire data set. What test should you perform to ensure only incremental data is loaded?
19) Your ETL pipeline processes sales data from different geographies with varying time zones. What would you primarily focus on during testing?
20) In a real-time data integration project, latency must not exceed 5 minutes between the data source and the report output. Which testing approach should you prioritize?
