Validate Reporting Accuracy DA0-001 Practice Questions (Page 2)

Questions 6–10

1. 6application · medium

   A data analyst is creating a report on employee productivity. The analyst plans to use data from a time-tracking application that was implemented last month. Before using this data, what should the analyst do to ensure the report is accurate?

   • AVerify that the time-tracking data aligns with known employee work schedules
   • BAsk employees to self-report their productivity instead
   • CInclude a disclaimer in the report about potential inaccuracies
   • DUse the data as-is because it comes from an official application
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2. 7application · medium

   A data analyst has developed a complex validation process for a monthly sales report. The process involves multiple SQL queries, Excel formulas, and manual checks. The analyst is about to go on leave for two weeks. What should the analyst do to ensure the validation process can be repeated accurately by a colleague?

   • AVerbally explain the process to a colleague before leaving
   • BCreate a detailed document describing each step, the purpose, and the expected outcomes
   • CLeave the files on the shared drive with no explanation
   • DAsk the colleague to wait until the analyst returns
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4. 8application · medium

   A regional sales report shows a 15% increase in sales for the Northeast region, but the national report shows only a 5% increase overall. The regional report was generated from a local database, while the national report uses a centralized data warehouse. What is the MOST likely cause of this discrepancy?

   • AThe regional database contains data that was not yet synced to the central warehouse
   • BThe regional report used a different currency conversion rate
   • CThe national report is using a different time zone for the date range
   • DThe national report is intentionally excluding the Northeast region
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5. 9application · medium

   A data team is responsible for validating a large dataset before it is used in a regulatory report. The validation process includes checking for missing values, duplicates, and data type consistency. The team wants to ensure the process is consistent and repeatable every month. What is the BEST way to achieve this?

   • ADocument the process but perform the checks manually each month
   • BDevelop a validation script and schedule it to run automatically before each report generation
   • CUse a random sample of the data for validation each month
   • DHave a different team member perform the validation each month to get fresh perspectives
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6. 10foundation · easy

   Why is data validation a critical step before publishing a report?

   • AIt verifies that the data in the report is accurate, complete, and consistent with source data.
   • BIt guarantees that the report will be accepted by all stakeholders without question.
   • CIt speeds up the data collection process by removing unnecessary fields.
   • DIt ensures the report is visually appealing to stakeholders.
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