Date table creation in Power BI - Practice Problems & Coding Challenges

Challenge - 5 Problems

❓ dax_lod_result

intermediate

Calculate the number of days in the Date table

Given a Date table created with the following DAX expression:

Date = CALENDAR(DATE(2023,1,1), DATE(2023,12,31))

What is the result of the measure:

DayCount = COUNTROWS(Date)

?

Power BI

Date = CALENDAR(DATE(2023,1,1), DATE(2023,12,31))
DayCount = COUNTROWS(Date)

A 0

B 364

C 366

D 365

💡 Hint

Remember that 2023 is not a leap year.

The CALENDAR function creates a table with all dates from January 1, 2023 to December 31, 2023 inclusive. Since 2023 is not a leap year, there are 365 days.

❓ data_modeling

intermediate

Identify the correct way to add a Month Name column to a Date table

You have a Date table with a column [Date]. You want to add a calculated column that shows the full month name (e.g., "January", "February"). Which DAX expression correctly creates this column?

A MonthName = FORMAT(Date[Date], "MMMM")

B MonthName = DAY(Date[Date])

C MonthName = YEAR(Date[Date])

D MonthName = MONTH(Date[Date])

💡 Hint

Use FORMAT to convert dates to text month names.

The FORMAT function with "MMMM" returns the full month name from a date. MONTH returns the month number, YEAR returns the year number, and DAY returns the day number.

❓ visualization

advanced

Best visualization to show sales trend by month using a Date table

You have a Date table with a Month column and a Sales table with daily sales. You want to create a report showing total sales trend by month over a year. Which visualization type is best suited for this?

A Stacked Bar Chart

B Line Chart

C Pie Chart

D Scatter Plot

💡 Hint

Think about showing trends over time.

A Line Chart is best to show trends over time such as monthly sales. Stacked Bar Charts are better for comparing categories, Pie Charts show proportions, and Scatter Plots show relationships between two numeric variables.

🎯 Scenario

advanced

Handling missing dates in a sales dataset using a Date table

Your sales data has missing dates for some days with no sales. You want to create a report that shows daily sales including zero sales for missing dates. How can a Date table help you achieve this?

A Create a calculated column in sales to fill missing dates with zeros.

B Filter the sales table to remove missing dates before creating the report.

C Use the Date table as the axis and create a relationship to sales; use a measure that returns zero for missing sales dates.

D Use only the sales table without a Date table to avoid missing dates.

💡 Hint

Think about how Date tables provide a continuous timeline.

Using a Date table with a relationship to sales allows the report to show all dates. Measures can return zero for dates with no sales, ensuring no gaps in the timeline.

🔧 Formula Fix

expert

Identify the error in this Date table creation DAX expression

You wrote this DAX to create a Date table:

Date = CALENDAR(DATE(2023,1,1), DATE(2023,12,32))

What error will Power BI show when you try to create this table?

Power BI

Date = CALENDAR(DATE(2023,1,1), DATE(2023,12,32))

A Error: The day value 32 is invalid for month 12.

B No error, table created with dates until December 31, 2023.

C Error: Missing closing parenthesis.

D Error: CALENDAR function requires text arguments.

💡 Hint

Check the date arguments carefully.

The DATE function requires valid day values. December has only 31 days, so day 32 is invalid and causes an error.