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Self-review: Configure data sources :Deploy and Maintain Power BI Assets and Capstone project (Microsoft Power BI Data Analyst Professional Certificate) Answers 2025

Question 1

What was the purpose of selecting the Whole Number data type for the OrderID column in the Tailwind Traders Sales data?

To ensure every OrderID is consistent and avoids any reporting error
❌ To allow OrderID to have decimal values for more granularity
❌ To convert the OrderID into a textual format for better readability

Explanation:
OrderID is an identifier, not a value for calculations. Setting it as a Whole Number ensures consistency, prevents invalid decimal values, and avoids reporting or relationship issues in Power BI.


Question 2

True or False: When configuring the Purchases dataset, ensuring the Valid percentage is less than 100% in the Column Quality pane indicated no errors or empty cells needed addressing in the ReturnStatus column.

True
False

Explanation:
A Valid percentage less than 100% means there are errors or empty (null) values in the column. If there were no issues, the Valid percentage would be 100%.


Question 3

What purpose did the Python script serve in the exercise?

❌ To ensure data consistency and integrity for datasets.
❌ To assist in the extraction of specific data elements from datasets.
To transform and refine the historical currency exchange data.

Explanation:
The Python script was used to process, clean, and refine historical currency exchange data, making it suitable for accurate analysis and conversion in the dataset.


🧾 Summary Table

Question Correct Answer Key Concept
Q1 Whole Number for OrderID Data type consistency
Q2 False Column Quality interpretation
Q3 Transform currency data Python data transformation