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Microsoft PL-300 Bundle

Exam Code: PL-300

Exam Name Microsoft Power BI Data Analyst

Certification Provider: Microsoft

Corresponding Certification: Microsoft Certified: Power BI Data Analyst Associate

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Microsoft PL-300 Practice Test 25

Question 240

A visual contains a SUM measure inside a calculated column expression with row context, and conversion to filter context is required. What does CALCULATE do without extra filters?

  1. Use REMOVEFILTERS on ProductCategory inside CALCULATE for the denominator.
  2. Apply REMOVEFILTERS to StoreID specifically within CALCULATE.
  3. Wrap the ProductColor filter inside KEEPFILTERS in CALCULATE.
  4. Use CALCULATE to perform context transition from row context.

Explanation

Correct Answer

D:

Use CALCULATE to perform context transition from row context. CALCULATE can turn an existing row context into filter context for an expression.

Incorrect Answers

A:

Removing that category filter exposes the relevant all-category total. It serves “measure needs a denominator unaffected by ProductCategory filtering”, not “context, and conversion to filter context is required”.

B:

Apply REMOVEFILTERS to StoreID specifically within CALCULATE. The present requirement is “context, and conversion to filter context is required”; “only StoreID filters, keeping Date and Region selections” is a distinct situation.

C:

KEEPFILTERS intersects filters on the same column rather than overwriting them. That matters for “condition while respecting an existing color slicer intersection” rather than the condition “context, and conversion to filter context is required”.

Question 241

The Amount column stores price after discounts, but net revenue must multiply each line's Quantity by that amount. What measure works?

  1. Replace SUM of an expression with SUMX over the transaction table.
  2. Use SUMX over line rows multiplying Quantity by discounted unit amount.
  3. Use MAXX on the fact rows with a margin expression.
  4. Use AVERAGEX over distinct orders evaluating each order's sales measure.

Explanation

Correct Answer

B:

Use SUMX over line rows multiplying Quantity by discounted unit amount. An iterator respects row-specific operands before aggregation.

Incorrect Answers

A:

SUMX accepts a per-row expression whereas SUM accepts a column reference. The boundary it addresses is “SUM expects one column”, while this case concerns “Use SUMX over line rows multiplying Quantity by”.

C:

MAXX finds the maximum of a row-evaluated expression. The deciding difference is “margin rather than the maximum stored margin column” versus “Use SUMX over line rows multiplying Quantity by”.

D:

Averaging order-level totals differs from averaging per-line amounts. Its application is “total across orders, not average individual line amounts”, not the need “Use SUMX over line rows multiplying Quantity by”.

Question 242

A measure calculates average order total across orders, not average individual line amounts. Which pattern helps?

  1. Use SUMX over line rows multiplying Quantity by discounted unit amount.
  2. Use MAXX on the fact rows with a margin expression.
  3. Use COUNTROWS over a FILTER expression with the predicate.
  4. Use AVERAGEX over distinct orders evaluating each order's sales measure.

Explanation

Correct Answer

D:

Use AVERAGEX over distinct orders evaluating each order's sales measure. Averaging order-level totals differs from averaging per-line amounts.

Incorrect Answers

A:

An iterator respects row-specific operands before aggregation. Its application is “Use SUMX over line rows multiplying Quantity by”, not the need “total across orders, not average individual line amounts”.

B:

MAXX finds the maximum of a row-evaluated expression. That is a different operating condition from “total across orders, not average individual line amounts”: “margin rather than the maximum stored margin column”.

C:

FILTER returns matching rows for COUNTROWS to count. It serves “cannot be expressed as a simple equality filter”, not “total across orders, not average individual line amounts”.

Question 243

A model needs the maximum calculated line margin rather than the maximum stored margin column. What fits?

  1. Use AVERAGEX over distinct orders evaluating each order's sales measure.
  2. Use MAXX on the fact rows with a margin expression.
  3. Use COUNTROWS over a FILTER expression with the predicate.
  4. Use SUMX over line rows multiplying Quantity by discounted unit amount.

Explanation

Correct Answer

B:

Use MAXX on the fact rows with a margin expression. MAXX finds the maximum of a row-evaluated expression.

Incorrect Answers

A:

Averaging order-level totals differs from averaging per-line amounts. The present requirement is “margin rather than the maximum stored margin column”; “total across orders, not average individual line amounts” is a distinct situation.

C:

FILTER returns matching rows for COUNTROWS to count. The boundary it addresses is “cannot be expressed as a simple equality filter”, while this case concerns “margin rather than the maximum stored margin column”.

D:

An iterator respects row-specific operands before aggregation. This solves “Use SUMX over line rows multiplying Quantity by”; the stated issue is “margin rather than the maximum stored margin column”.

Question 244

A report must count filtered rows satisfying a complex predicate that cannot be expressed as a simple equality filter. Which pattern fits?

  1. Use MAXX on the fact rows with a margin expression.
  2. Use COUNTROWS over a FILTER expression with the predicate.
  3. Use AVERAGEX over distinct orders evaluating each order's sales measure.
  4. Use SUMX over line rows multiplying Quantity by discounted unit amount.

Explanation

Correct Answer

B:

Use COUNTROWS over a FILTER expression with the predicate. FILTER returns matching rows for COUNTROWS to count.

Incorrect Answers

A:

MAXX finds the maximum of a row-evaluated expression. This solves “margin rather than the maximum stored margin column”; the stated issue is “cannot be expressed as a simple equality filter”.

C:

Averaging order-level totals differs from averaging per-line amounts. Its application is “total across orders, not average individual line amounts”, not the need “cannot be expressed as a simple equality filter”.

D:

An iterator respects row-specific operands before aggregation. That is a different operating condition from “cannot be expressed as a simple equality filter”: “Use SUMX over line rows multiplying Quantity by”.

Question 245

A developer writes SUM(Quantity * UnitPrice) and the expression is rejected because SUM expects one column. What fix fits?

  1. Use SUMX over line rows multiplying Quantity by discounted unit amount.
  2. Use MAXX on the fact rows with a margin expression.
  3. Replace SUM of an expression with SUMX over the transaction table.
  4. Use COUNTROWS over a FILTER expression with the predicate.

Explanation

Correct Answer

C:

Replace SUM of an expression with SUMX over the transaction table. SUMX accepts a per-row expression whereas SUM accepts a column reference.

Incorrect Answers

A:

An iterator respects row-specific operands before aggregation. That is a different operating condition from “SUM expects one column”: “Use SUMX over line rows multiplying Quantity by”.

B:

MAXX finds the maximum of a row-evaluated expression. It serves “margin rather than the maximum stored margin column”, not “SUM expects one column”.

D:

FILTER returns matching rows for COUNTROWS to count. That matters for “cannot be expressed as a simple equality filter” rather than the condition “SUM expects one column”.

Question 246

A report needs year-to-date sales respecting the selected calendar year. Which established DAX pattern fits?

  1. Use CALCULATE with DATEADD over the Date column and minus one month.
  2. Use CALCULATE with a rolling DATESINPERIOD window.
  3. Use CALCULATE with SAMEPERIODLASTYEAR on the Date column.
  4. Use TOTALYTD or CALCULATE with DATESYTD on the marked Date table.

Explanation

Correct Answer

D:

Use TOTALYTD or CALCULATE with DATESYTD on the marked Date table. Year-to-date time intelligence accumulates within the current year.

Incorrect Answers

A:

DATEADD shifts the relevant date context by a calendar interval. That matters for “month's comparable value for an active Date table” rather than the condition “needs year-to-date sales respecting the selected calendar year”.

B:

DATESINPERIOD can define a trailing time window for aggregation. The boundary it addresses is “30-day sales total ending on the selected date”, while this case concerns “needs year-to-date sales respecting the selected calendar year”.

C:

SAMEPERIODLASTYEAR shifts the current date window back one year. This solves “with the same period in the previous year”; the stated issue is “needs year-to-date sales respecting the selected calendar year”.

Question 247

A report must compare current sales with the same period in the previous year. Which pattern fits?

  1. Use TOTALYTD or CALCULATE with DATESYTD on the marked Date table.
  2. Use CALCULATE with DATEADD over the Date column and minus one month.
  3. Use CALCULATE with SAMEPERIODLASTYEAR on the Date column.
  4. Configure the time-intelligence year-end or fiscal-calendar logic explicitly.

Explanation

Correct Answer

C:

Use CALCULATE with SAMEPERIODLASTYEAR on the Date column. SAMEPERIODLASTYEAR shifts the current date window back one year.

Incorrect Answers

A:

Year-to-date time intelligence accumulates within the current year. The deciding difference is “needs year-to-date sales respecting the selected calendar year” versus “with the same period in the previous year”.

B:

DATEADD shifts the relevant date context by a calendar interval. Its application is “month's comparable value for an active Date table”, not the need “with the same period in the previous year”.

D:

Fiscal YTD boundaries differ from default calendar-year boundaries. It serves “a fiscal year ending June rather than December”, not “with the same period in the previous year”.

Question 248

A visual must show a moving 30-day sales total ending on the selected date. What pattern helps?

  1. Use TOTALYTD or CALCULATE with DATESYTD on the marked Date table.
  2. Configure the time-intelligence year-end or fiscal-calendar logic explicitly.
  3. Use CALCULATE with SAMEPERIODLASTYEAR on the Date column.
  4. Use CALCULATE with a rolling DATESINPERIOD window.

Explanation

Correct Answer

D:

Use CALCULATE with a rolling DATESINPERIOD window. DATESINPERIOD can define a trailing time window for aggregation.

Incorrect Answers

A:

Year-to-date time intelligence accumulates within the current year. It serves “needs year-to-date sales respecting the selected calendar year”, not “30-day sales total ending on the selected date”.

B:

Fiscal YTD boundaries differ from default calendar-year boundaries. The present requirement is “30-day sales total ending on the selected date”; “a fiscal year ending June rather than December” is a distinct situation.

C:

SAMEPERIODLASTYEAR shifts the current date window back one year. That matters for “with the same period in the previous year” rather than the condition “30-day sales total ending on the selected date”.

Question 249

A month-on-month measure needs the previous month's comparable value for an active Date table. Which pattern fits?

  1. Use CALCULATE with a rolling DATESINPERIOD window.
  2. Use CALCULATE with DATEADD over the Date column and minus one month.
  3. Configure the time-intelligence year-end or fiscal-calendar logic explicitly.
  4. Use CALCULATE with SAMEPERIODLASTYEAR on the Date column.

Explanation

Correct Answer

B:

Use CALCULATE with DATEADD over the Date column and minus one month. DATEADD shifts the relevant date context by a calendar interval.

Incorrect Answers

A:

DATESINPERIOD can define a trailing time window for aggregation. The boundary it addresses is “30-day sales total ending on the selected date”, while this case concerns “month's comparable value for an active Date table”.

C:

Fiscal YTD boundaries differ from default calendar-year boundaries. The deciding difference is “a fiscal year ending June rather than December” versus “month's comparable value for an active Date table”.

D:

SAMEPERIODLASTYEAR shifts the current date window back one year. Its application is “with the same period in the previous year”, not the need “month's comparable value for an active Date table”.

Question 250

A year-to-date measure follows a fiscal year ending June rather than December. What should be specified?

  1. Configure the time-intelligence year-end or fiscal-calendar logic explicitly.
  2. Use CALCULATE with SAMEPERIODLASTYEAR on the Date column.
  3. Use TOTALYTD or CALCULATE with DATESYTD on the marked Date table.
  4. Use CALCULATE with DATEADD over the Date column and minus one month.

Explanation

Correct Answer

A:

Configure the time-intelligence year-end or fiscal-calendar logic explicitly. Fiscal YTD boundaries differ from default calendar-year boundaries.

Incorrect Answers

B:

SAMEPERIODLASTYEAR shifts the current date window back one year. That is a different operating condition from “a fiscal year ending June rather than December”: “with the same period in the previous year”.

C:

Year-to-date time intelligence accumulates within the current year. It serves “needs year-to-date sales respecting the selected calendar year”, not “a fiscal year ending June rather than December”.

D:

DATEADD shifts the relevant date context by a calendar interval. The present requirement is “a fiscal year ending June rather than December”; “month's comparable value for an active Date table” is a distinct situation.