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Last Update: Oct 30, 2026

PL-300 Training Course: 266 Video Lectures

PL-300 PDF Study Guide: 452 Pages

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Microsoft PL-300 Practice Test 37

Question 360

A measure must activate an existing inactive date path rather than simulate it with arbitrary text comparisons. Which implementation best addresses this scenario?

  1. Use a carefully scoped TREATAS virtual filter with matching key types.
  2. Use TREATAS(VALUES(ProductSelection[ProductID]),Product[ProductID]) in CALCULATE.
  3. Use a disconnected parameter table and read its selected value in a measure.
  4. Use USERELATIONSHIP within CALCULATE for the validated inactive path.

Explanation

Correct Answer

D:

USERELATIONSHIP leverages the existing relationship with known date keys, supporting efficient alternate physical relationship.

Incorrect Answers

A:

Virtual relationships transfer intended filter values without changing the physical model. It would address calculation-specific disconnected mapping, not efficient alternate physical relationship.

B:

TREATAS applies selected values as filters to a different model column. That targets disconnected slicer virtual relationship, not efficient alternate physical relationship.

C:

Disconnected what-if tables provide parameters without physically filtering facts. It may suit user-controlled scalar threshold, not efficient alternate physical relationship.

Question 361

A target attainment KPI needs actual sales divided by a filtered budget amount. What is the best method for this analysis requirement?

  1. Use DIVIDE([Actual Sales],[Budget Sales]) under compatible period filters.
  2. Define [Actual Sales]-[Budget Sales] using consistent filters.
  3. Use DIVIDE([Revenue]-[Revenue PY],[Revenue PY]) with zero handling.
  4. Define [Revenue] - [Revenue PY] in a variance measure.

Explanation

Correct Answer

A:

Attainment compares measures at aligned business grain, supporting actual-to-budget attainment ratio.

Incorrect Answers

B:

The sign of difference follows explicit business order of subtraction. Its scope is signed revenue budget variance, not actual-to-budget attainment ratio.

C:

Dividing variance by prior-period baseline yields relative growth. That is meant for prior-year percentage growth, not actual-to-budget attainment ratio.

D:

Subtraction gives same-unit change without dividing by the baseline. It would address absolute year-over-year variance, not actual-to-budget attainment ratio.

Question 362

A rolling-year metric must look back exactly twelve months from the selected period end. Which implementation best addresses this scenario?

  1. Configure a fiscal year-aware TOTALYTD or DATESYTD calculation.
  2. Use DATESINPERIOD with a -12 MONTH window as the filter.
  3. Use SAMEPERIODLASTYEAR in CALCULATE with the date dimension.
  4. Use PREVIOUSMONTH('Date'[Date]) in the prior-period measure.

Explanation

Correct Answer

B:

Relative interval functions evaluate the trailing period anchored to a chosen date, supporting trailing twelve-month measure.

Incorrect Answers

A:

Fiscal start alignment changes which dates contribute to YTD. It would address correct fiscal-year accumulation, not trailing twelve-month measure.

C:

Date shifting changes only comparable calendar context while other filters remain. It may suit matched-period previous-year revenue, not trailing twelve-month measure.

D:

PREVIOUSMONTH selects the calendar month directly preceding current date context. It is useful for previous calendar month baseline, not for trailing twelve-month measure.

Question 363

A team wants a value filtered by a specific status if that status is currently present in the visual context. What is the best method for this analysis requirement?

  1. Use SELECTEDVALUE(Product[Category],"All Categories").
  2. Use ISINSCOPE(Store[StoreID]) to detect row hierarchy level.
  3. Use SELECTEDVALUE(Status[State]) with explicit handling for multi-value context.
  4. Check ISINSCOPE for Product, Category and Department levels in descending specificity.

Explanation

Correct Answer

C:

Single-value selection guards against arbitrary scalar picks in ambiguous contexts, supporting safe selected status in conditional measure.

Incorrect Answers

A:

SELECTEDVALUE provides a clear alternate for none or multiple category selections. It is useful for context-aware report category label, not for safe selected status in conditional measure.

B:

ISINSCOPE identifies whether the specified hierarchy column defines current grouping level. Its scope is hierarchy-aware store-level metric, not safe selected status in conditional measure.

D:

ISINSCOPE supports level-specific logic for report hierarchies. It would address dynamic hierarchy-level detection, not safe selected status in conditional measure.

Question 364

An iterator calculates commission for each eligible transaction before totaling amounts. Which implementation best addresses this scenario?

  1. Use a compatible iterator or alternate relationship-aware measure pattern.
  2. Account for CALCULATE context transition from current row to filter context.
  3. Inspect context transition and relationship propagation for that column expression.
  4. Use SUMX with an explicit per-row commission expression and appropriate filters.

Explanation

Correct Answer

D:

Row iteration evaluates business rules at transaction grain, supporting sum per-transaction commission correctly.

Incorrect Answers

A:

RELATED expects row context from an appropriate relationship traversal. It would address resolve missing row context for related lookup, not sum per-transaction commission correctly.

B:

CALCULATE can translate row context into filter context for aggregation evaluation. That targets correct aggregation inside a row iterator, not sum per-transaction commission correctly.

C:

Row-context-to-filter-context behavior can change how measures evaluate during column calculation. It may suit debug calculated-column measure behavior, not sum per-transaction commission correctly.

Question 365

A calculated table currently duplicates a million fact rows just to create a slicer for categories. What is the best method for this analysis requirement?

  1. Replace it with a distinct lightweight category dimension.
  2. Construct an explicitly validated month-end calendar table expression.
  3. Build a CALENDAR or CALENDARAUTO-based date table with governed boundaries.
  4. Define a calculated table using DISTINCT or SUMMARIZE where appropriate.

Explanation

Correct Answer

A:

Small unique dimension tables avoid unnecessary duplicate fact storage; this helps reduce redundant calculated table size.

Incorrect Answers

B:

Calculated tables can materialize needed date-grain rows under defined calendar logic. Its scope is dedicated month-end date dimension, not reduce redundant calculated table size.

C:

DAX date-table expressions materialize date rows for modeling. That is meant for generate a complete calendar table, not reduce redundant calculated table size.

D:

Calculated tables can materialize unique grouping values from existing model records. It would address derive an internal grouping table, not reduce redundant calculated table size.

Question 366

A service team needs the average numeric satisfaction score under active slicers. What should the report or semantic-model owner do?

  1. Define Revenue = SUM(Sales[NetAmount]) as a measure.
  2. Define Transactions = COUNTROWS(Sales).
  3. Define Customers = DISTINCTCOUNT(Sales[CustomerID]).
  4. Define Avg Satisfaction = AVERAGE(Feedback[Score]).

Explanation

Correct Answer

D:

AVERAGE calculates the mean of eligible numeric values in filter context, supporting context-sensitive average satisfaction.

Incorrect Answers

A:

SUM aggregates numeric fact values within the current filter context. It would address additive filtered revenue metric, not context-sensitive average satisfaction.

B:

COUNTROWS counts records in the filtered fact table rather than distinct identifiers. That targets filtered transaction event count, not context-sensitive average satisfaction.

C:

DISTINCTCOUNT avoids counting multiple transactions for the same customer as separate buyers. It may suit unique purchasing customer count, not context-sensitive average satisfaction.

Question 367

A ratio needs product share of total while retaining geography selection in both numerator and denominator. Which Power BI approach BEST satisfies the stated requirement?

  1. Calculate the denominator with only Product filtering removed.
  2. Use CALCULATE([Revenue],Sales[Channel] = "Online").
  3. Use CALCULATE([Revenue],REMOVEFILTERS(Product[Category])).
  4. Use CALCULATE with KEEPFILTERS for the additional Product condition.

Explanation

Correct Answer

A:

Controlled filter removal retains intended region context for the baseline, supporting regional product share versus regional total.

Incorrect Answers

B:

CALCULATE modifies filter context for the enclosed expression. Its scope is revenue restricted to online channel, not regional product share versus regional total.

C:

REMOVEFILTERS clears only the specified category filter while other compatible filters remain. That is meant for product-category-independent revenue, not regional product share versus regional total.

D:

KEEPFILTERS intersects a new condition with existing filters rather than overwriting them. It would address intersect selected product conditions, not regional product share versus regional total.

Question 368

A calculated column needs the category of the matching product through a valid many-to-one relationship. What should the report or semantic-model owner do?

  1. Use SUMX(Sales,Sales[Quantity] * Sales[Price]).
  2. Use RELATED(Product[Category]) in Sales calculated column context.
  3. Use a row-context calculated column Sales[Quantity] * Sales[UnitPrice].
  4. Write a DAX measure evaluated under filter context.

Explanation

Correct Answer

B:

RELATED retrieves a single corresponding attribute from the relationship's one side, supporting retrieve dimension category for each sale row.

Incorrect Answers

A:

SUMX iterates rows, evaluates the expression per row, and sums the results. It would address sum a row-by-row calculated sales amount, not retrieve dimension category for each sale row.

C:

Calculated columns evaluate each row's fields at model processing. It may suit per-line extended price, not retrieve dimension category for each sale row.

D:

Measures respond to active report filters rather than storing one static per-row value. It is useful for responsive report aggregation, not for retrieve dimension category for each sale row.

Question 369

A quarterly operations report needs revenue accumulated from the quarter start through the selected day. Which Power BI approach BEST satisfies the stated requirement?

  1. Use TOTALYTD with the appropriate fiscal year-end parameter or a fiscal calendar.
  2. Use TOTALMTD([Revenue],'Date'[Date]) over the date dimension.
  3. Use TOTALQTD([Revenue],'Date'[Date]) with a valid date dimension.
  4. Use TOTALYTD([Revenue],'Date'[Date]) with a proper calendar.

Explanation

Correct Answer

C:

Quarter-to-date calculations aggregate within the current quarter context, supporting partial-quarter cumulative revenue.

Incorrect Answers

A:

Fiscal YTD changes the accumulation boundary from the calendar year to the fiscal year. It is useful for fiscal year-to-date financial amount, not for partial-quarter cumulative revenue.

B:

Month-to-date resets the accumulation at each month boundary. Its scope is selected month-to-date total, not partial-quarter cumulative revenue.

D:

TOTALYTD aggregates a measure from year start to the current date context. It would address calendar year-to-date revenue, not partial-quarter cumulative revenue.

Question 370

A management report needs current revenue minus comparable previous-year revenue. What should the report or semantic-model owner do?

  1. Use CALCULATE([Revenue],SAMEPERIODLASTYEAR('Date'[Date])).
  2. Use CALCULATE([Revenue],PREVIOUSMONTH('Date'[Date])).
  3. Use CALCULATE([Revenue],DATESINPERIOD('Date'[Date],MAX('Date'[Date]),-28,DAY)).
  4. Define a variance measure as [Revenue] - [Revenue PY] using a valid prior-year measure.

Explanation

Correct Answer

D:

Variance measures subtract comparable quantities after matching time contexts, supporting absolute year-over-year revenue change.

Incorrect Answers

A:

SAMEPERIODLASTYEAR shifts the date filter to a comparable prior-year interval. It would address prior-year matched-period sales, not absolute year-over-year revenue change.

B:

PREVIOUSMONTH replaces the current date set with the previous month interval. That targets previous-month sales comparison, not absolute year-over-year revenue change.

C:

DATESINPERIOD defines a relative date window evaluated by CALCULATE. It may suit trailing 28-day revenue, not absolute year-over-year revenue change.


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