Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution. After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen. You have a data source that contains a column. The column contains case sensitive data. You have a Power BI semantic model in DirectQuery mode. You connect to the model and discover that it contains undefined values and errors. You need to resolve the issue. Solution: You implicitly convert the values into the required type. Does this meet the goal?

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B. No Implicit conversion generally applies to data type mismatches where the system tries to automatically adjust the type, but it does not address issues arising from case sensitivity in string comparisons or data integrity problems leading to undefined values or errors. Case sensitivity problems require explicit normalization of casing or exact matching logic.

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A. Yes Implicit conversion does not resolve data quality issues like undefined values or errors stemming from case sensitivity, as it operates on data types rather than data content or comparison logic.

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might…

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