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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 24

Question 230

A report shows inflated TotalRevenue after adding a one-to-many merge that multiplies transaction rows. What should be checked?

  1. Diagnose and enforce order-header key uniqueness.
  2. Verify merge joins and table grain before loading the inflated fact.
  3. Create or repair the active Product-to-Sales relationship.
  4. Configure the Region dimension to filter the Sales fact.

Explanation

Correct Answer

B:

Verify merge joins and table grain before loading the inflated fact. Data preparation row multiplication can distort measures even when model relationships are valid.

Incorrect Answers

A:

Order header as a lookup requires one row per OrderKey. That matters for “table but each key should identify one order” rather than the condition “Verify merge joins and table grain before loading”.

C:

Without a filter path, category rows do not constrain the fact measure. This solves “the dimension is disconnected”; the stated issue is “Verify merge joins and table grain before loading”.

D:

Slicer attributes must propagate filters to the measured fact. The deciding difference is “filter direction points the wrong way” versus “Verify merge joins and table grain before loading”.

Question 231

A report needs the additive sum of a numeric SalesAmount column within the current slicer context. Which DAX function is appropriate?

  1. Use SUM over the SalesAmount column in a measure.
  2. Use DIVIDE with numerator, denominator and a defined alternate result.
  3. Use COUNTROWS on the Sales fact table.
  4. Use SUMX over Sales with the row expression Quantity times UnitPrice.

Explanation

Correct Answer

A:

Use SUM over the SalesAmount column in a measure. SUM aggregates a numeric column under the current filter context.

Incorrect Answers

B:

DIVIDE handles zero or blank denominators more safely than ordinary division. Its application is “Use DIVIDE with numerator, denominator and a defined”, not the need “numeric SalesAmount column within the current slicer context”.

C:

COUNTROWS counts records in the currently filtered table. That is a different operating condition from “numeric SalesAmount column within the current slicer context”: “filters, not the sum of their IDs”.

D:

SUMX evaluates the expression for each row before summing results. It serves “by UnitPrice for each order line, then summed”, not “numeric SalesAmount column within the current slicer context”.

Question 232

A dashboard needs the number of transaction records after filters, not the sum of their IDs. Which function fits?

  1. Use SUMX over Sales with the row expression Quantity times UnitPrice.
  2. Use COUNTROWS on the Sales fact table.
  3. Use SUM over the SalesAmount column in a measure.
  4. Use DISTINCTCOUNT on Sales CustomerID.

Explanation

Correct Answer

B:

Use COUNTROWS on the Sales fact table. COUNTROWS counts records in the currently filtered table.

Incorrect Answers

A:

SUMX evaluates the expression for each row before summing results. It serves “by UnitPrice for each order line, then summed”, not “filters, not the sum of their IDs”.

C:

SUM aggregates a numeric column under the current filter context. That matters for “numeric SalesAmount column within the current slicer context” rather than the condition “filters, not the sum of their IDs”.

D:

DISTINCTCOUNT returns the number of different visible values in a column. The boundary it addresses is “must count distinct CustomerIDs among the selected transactions”, while this case concerns “filters, not the sum of their IDs”.

Question 233

A measure must count distinct CustomerIDs among the selected transactions. Which function fits?

  1. Use DISTINCTCOUNT on Sales CustomerID.
  2. Use SUMX over Sales with the row expression Quantity times UnitPrice.
  3. Use COUNTROWS on the Sales fact table.
  4. Use SUM over the SalesAmount column in a measure.

Explanation

Correct Answer

A:

Use DISTINCTCOUNT on Sales CustomerID. DISTINCTCOUNT returns the number of different visible values in a column.

Incorrect Answers

B:

SUMX evaluates the expression for each row before summing results. This solves “by UnitPrice for each order line, then summed”; the stated issue is “must count distinct CustomerIDs among the selected transactions”.

C:

COUNTROWS counts records in the currently filtered table. The deciding difference is “filters, not the sum of their IDs” versus “must count distinct CustomerIDs among the selected transactions”.

D:

SUM aggregates a numeric column under the current filter context. Its application is “numeric SalesAmount column within the current slicer context”, not the need “must count distinct CustomerIDs among the selected transactions”.

Question 234

A pricing report needs gross revenue computed as Quantity multiplied by UnitPrice for each order line, then summed. Which function fits?

  1. Use DISTINCTCOUNT on Sales CustomerID.
  2. Use DIVIDE with numerator, denominator and a defined alternate result.
  3. Use SUM over the SalesAmount column in a measure.
  4. Use SUMX over Sales with the row expression Quantity times UnitPrice.

Explanation

Correct Answer

D:

Use SUMX over Sales with the row expression Quantity times UnitPrice. SUMX evaluates the expression for each row before summing results.

Incorrect Answers

A:

DISTINCTCOUNT returns the number of different visible values in a column. Its application is “must count distinct CustomerIDs among the selected transactions”, not the need “by UnitPrice for each order line, then summed”.

B:

DIVIDE handles zero or blank denominators more safely than ordinary division. That is a different operating condition from “by UnitPrice for each order line, then summed”: “Use DIVIDE with numerator, denominator and a defined”.

C:

SUM aggregates a numeric column under the current filter context. It serves “numeric SalesAmount column within the current slicer context”, not “by UnitPrice for each order line, then summed”.

Question 235

A margin percentage must avoid divide-by-zero errors when revenue is absent. What DAX technique fits?

  1. Use DISTINCTCOUNT on Sales CustomerID.
  2. Use COUNTROWS on the Sales fact table.
  3. Use DIVIDE with numerator, denominator and a defined alternate result.
  4. Use SUMX over Sales with the row expression Quantity times UnitPrice.

Explanation

Correct Answer

C:

Use DIVIDE with numerator, denominator and a defined alternate result. DIVIDE handles zero or blank denominators more safely than ordinary division.

Incorrect Answers

A:

DISTINCTCOUNT returns the number of different visible values in a column. The present requirement is “Use DIVIDE with numerator, denominator and a defined”; “must count distinct CustomerIDs among the selected transactions” is a distinct situation.

B:

COUNTROWS counts records in the currently filtered table. That matters for “filters, not the sum of their IDs” rather than the condition “Use DIVIDE with numerator, denominator and a defined”.

D:

SUMX evaluates the expression for each row before summing results. This solves “by UnitPrice for each order line, then summed”; the stated issue is “Use DIVIDE with numerator, denominator and a defined”.

Question 236

A report must compute sales only for Channel='Online', regardless of an existing Channel slicer selection. What does the measure require?

  1. Use CALCULATE with a Channel equals Online filter that replaces that column's filter.
  2. Use REMOVEFILTERS on ProductCategory inside CALCULATE for the denominator.
  3. Wrap the ProductColor filter inside KEEPFILTERS in CALCULATE.
  4. Use CALCULATE to perform context transition from row context.

Explanation

Correct Answer

A:

Use CALCULATE with a Channel equals Online filter that replaces that column's filter. A normal CALCULATE equality filter overwrites existing filters on the same column.

Incorrect Answers

B:

Removing that category filter exposes the relevant all-category total. The deciding difference is “measure needs a denominator unaffected by ProductCategory filtering” versus “Channel='Online', regardless of an existing Channel slicer selection”.

C:

KEEPFILTERS intersects filters on the same column rather than overwriting them. Its application is “condition while respecting an existing color slicer intersection”, not the need “Channel='Online', regardless of an existing Channel slicer selection”.

D:

CALCULATE can turn an existing row context into filter context for an expression. That is a different operating condition from “Channel='Online', regardless of an existing Channel slicer selection”: “context, and conversion to filter context is required”.

Question 237

A measure must add a Red ProductColor condition while respecting an existing color slicer intersection. What should be used?

  1. Use CALCULATE with a Channel equals Online filter that replaces that column's filter.
  2. Use CALCULATE to perform context transition from row context.
  3. Apply REMOVEFILTERS to StoreID specifically within CALCULATE.
  4. Wrap the ProductColor filter inside KEEPFILTERS in CALCULATE.

Explanation

Correct Answer

D:

Wrap the ProductColor filter inside KEEPFILTERS in CALCULATE. KEEPFILTERS intersects filters on the same column rather than overwriting them.

Incorrect Answers

A:

A normal CALCULATE equality filter overwrites existing filters on the same column. That is a different operating condition from “condition while respecting an existing color slicer intersection”: “Channel='Online', regardless of an existing Channel slicer selection”.

B:

CALCULATE can turn an existing row context into filter context for an expression. It serves “context, and conversion to filter context is required”, not “condition while respecting an existing color slicer intersection”.

C:

Apply REMOVEFILTERS to StoreID specifically within CALCULATE. The present requirement is “condition while respecting an existing color slicer intersection”; “only StoreID filters, keeping Date and Region selections” is a distinct situation.

Question 238

A total-share measure needs a denominator unaffected by ProductCategory filtering. Which filter modifier fits?

  1. Wrap the ProductColor filter inside KEEPFILTERS in CALCULATE.
  2. Use CALCULATE with a Channel equals Online filter that replaces that column's filter.
  3. Apply REMOVEFILTERS to StoreID specifically within CALCULATE.
  4. Use REMOVEFILTERS on ProductCategory inside CALCULATE for the denominator.

Explanation

Correct Answer

D:

Use REMOVEFILTERS on ProductCategory inside CALCULATE for the denominator. Removing that category filter exposes the relevant all-category total.

Incorrect Answers

A:

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 “measure needs a denominator unaffected by ProductCategory filtering”.

B:

A normal CALCULATE equality filter overwrites existing filters on the same column. The boundary it addresses is “Channel='Online', regardless of an existing Channel slicer selection”, while this case concerns “measure needs a denominator unaffected by ProductCategory filtering”.

C:

Apply REMOVEFILTERS to StoreID specifically within CALCULATE. This solves “only StoreID filters, keeping Date and Region selections”; the stated issue is “measure needs a denominator unaffected by ProductCategory filtering”.

Question 239

A report computes regional sales but must ignore only StoreID filters, keeping Date and Region selections. What should be done?

  1. Use CALCULATE with a Channel equals Online filter that replaces that column's filter.
  2. Use REMOVEFILTERS on ProductCategory inside CALCULATE for the denominator.
  3. Use CALCULATE to perform context transition from row context.
  4. Apply REMOVEFILTERS to StoreID specifically within CALCULATE.

Explanation

Correct Answer

D:

Apply REMOVEFILTERS to StoreID specifically within CALCULATE. Column-scoped removal preserves unrelated filter context.

Incorrect Answers

A:

A normal CALCULATE equality filter overwrites existing filters on the same column. The deciding difference is “Channel='Online', regardless of an existing Channel slicer selection” versus “only StoreID filters, keeping Date and Region selections”.

B:

Removing that category filter exposes the relevant all-category total. Its application is “measure needs a denominator unaffected by ProductCategory filtering”, not the need “only StoreID filters, keeping Date and Region selections”.

C:

CALCULATE can turn an existing row context into filter context for an expression. That is a different operating condition from “only StoreID filters, keeping Date and Region selections”: “context, and conversion to filter context is required”.

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”.