Question 1

What is the primary purpose of the HASONEVALUE function in DAX?

Accepted Answer

A. To check if a specific value exists within a single column

Answer

B. To ensure a single context is used for evaluation within a DAX formula

Answer

C. To identify duplicate values within a column and flag them

Answer

D. To compare values between two different tables in a DAX expression

Question 2

When using HASONEVALUE within a DAX measure, how does it handle situations where multiple rows in the filter context share the same value for the evaluated column?

Accepted Answer

A. It will return an error indicating ambiguity

Answer

C. It will return FALSE as there's not a single unique value

Answer

B. It will return TRUE regardless of multiple matching values

Answer

D. The behavior depends on how the measure is written

Question 3

How can you leverage HASONEVALUE with other DAX functions to create advanced calculations?

Accepted Answer

A. By nesting HASONEVALUE within another function like SUM or AVERAGE to restrict filter context

Answer

D. It can only be used in standalone calculations and not within formulas

Answer

C. HASONEVALUE itself cannot be combined with other DAX functions

Answer

B. By using HASONEVALUE as a filter argument within other DAX functions

Question 4

Which of the following scenarios is LEAST likely to benefit from using HASONEVALUE in a DAX expression?

Accepted Answer

A. Calculating the total sales for a specific product when multiple product IDs might exist in the filter context

Answer

B. Identifying the unique customer count within a specific sales territory

Answer

C. Checking if a particular date exists in a date table used for time intelligence calculations

Answer

D. Validating data quality by ensuring a product name has a corresponding product code

Question 5

When working with complex DAX expressions that involve multiple filters, how can HASONEVALUE help ensure accurate results?

Accepted Answer

A. It guarantees a single row is evaluated regardless of filter interactions

Answer

D. HASONEVALUE itself doesn't directly address filter interactions

Answer

C. It simplifies writing complex DAX by reducing the need for nested filters

Answer

B. It helps identify potential errors caused by bi-directional filtering

Question 6

The video likely covers advanced applications of HASONEVALUE. Which of the following is an unlikely scenario?

Accepted Answer

A. Creating a DAX measure that dynamically calculates the profit margin based on a user-selected product category, ensuring a single category is considered

Answer

C. Building a DAX time intelligence calculation that considers year-to-date sales but ensures only the current year's data is used

Answer

B. Developing a calculated column that flags rows where a customer record has multiple email addresses (using HASONEVALUE to check uniqueness)

Answer

D. Using HASONEVALUE to format a table header based on a single value from another table, regardless of potential multiple matching values

Question 7

Assuming the video dives into best practices for HASONEVALUE, which of the following is likely NOT recommended?

Accepted Answer

A. Using HASONEVALUE together with ALLSELECTED function for granular control over filter context

Answer

D. Documenting within the DAX code the purpose of using HASONEVALUE for better code clarity

Answer

B. Overusing HASONEVALUE in every DAX expression to avoid potential context ambiguity

Answer

C. Combining HASONEVALUE with DAX logical operators (AND, OR) for complex filtering conditions

Question 8

When troubleshooting errors related to filter context in DAX expressions, how can HASONEVALUE be helpful?

Accepted Answer

A. It can directly identify the source of the error by highlighting conflicting filters

Answer

C. HASONEVALUE itself doesn't have debugging capabilities, but its functionality can aid in error analysis

Answer

B. By analyzing the return value of HASONEVALUE, you can diagnose unexpected filter behavior

Answer

D. It's recommended to replace HASONEVALUE with alternative functions for easier error identification

Question 9

The title suggests the video might explore creative uses of HASONEVALUE. Which of the following is an unlikely application?

Accepted Answer

A. Developing a DAX measure that calculates the average sales price for a product, ensuring only active products are considered (based on a flag column)

Answer

B. Building a DAX calculation to identify the first date of sale for each customer, leveraging HASONEVALUE to ensure only the earliest date is considered

Answer

C. Creating a conditional formatting rule in a Power BI table that highlights rows where a specific product attribute value is missing (using HASONEVALUE to check for blanks)

Answer

D. Using HASONEVALUE to restrict a slicer visualization in Power BI to a single selection, even if multiple options are available

Question 10