1) You are conducting an ETL test on customer survey data that will be used for sentiment analysis. Which of the following is critical to validate?
2) In an ETL process for a retail company, daily transaction data is aggregated into monthly reports. Which test would you use to ensure accurate monthly aggregation?
3) During a data migration project, you notice discrepancies in numerical data precision between the source and target databases. What would you focus on in your ETL testing?
4) A retail client’s ETL project integrates data from e-commerce, in-store, and mobile sales channels into one database. What is the key focus for your testing?
5) In an ETL job, data from multiple departments with overlapping data points is consolidated into a data warehouse. What should your testing focus on?
6) A marketing ETL pipeline generates a daily report on campaign effectiveness. Sometimes, the data sources are not updated daily. What test would ensure the report only uses the latest available data?
7) In an ETL pipeline, customer data from multiple regions is ingested in various formats (e.g., JSON, CSV). What would you test to ensure successful ingestion?
8) Your ETL project involves a change in the data storage structure, shifting from a star schema to a snowflake schema. Which area would you focus on during testing?
9) A large ETL job processes clickstream data to analyze website traffic. Data from the ETL must match the source clickstream logs exactly. What type of validation test should you prioritize?
10) In a project, a data warehouse must handle ETL processes with data from multiple time zones and sources with different refresh intervals. What is essential to test in this scenario?
11) In a data warehouse ETL process, a new business rule is added to filter out inactive customer records. How would you validate this change?
12) During a data migration ETL project, you are tasked with testing data transformations involving currency conversions across multiple countries. Which is the best way to ensure accuracy?
13) You are implementing an ETL job that aggregates hourly transaction data into daily summaries. What is essential to test?
14) In an ETL process that loads stock price data, new data should be appended daily without overwriting historical records. Which testing would confirm this functionality?
15) A banking ETL project requires all transaction data to be loaded in sequential order. How would you ensure this during testing?
16) In a product ETL pipeline, data from multiple sources are merged, but duplicates are causing issues in reporting. What testing should you focus on?
17) You are validating an ETL job that integrates data from multiple sales channels with differing data formats. What should be a priority?
18) A healthcare ETL pipeline masks patient data before loading it into a data warehouse. Which test type should you prioritize?
19) Your ETL project includes a data transformation that converts timestamps to a specific timezone. What validation is critical?
20) An ETL process handles real-time data for an e-commerce platform. Which factor is critical in testing the data pipeline?
