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PL-300 Premium File: 413 Questions & Answers

Last Update: Oct 30, 2026

PL-300 Training Course: 266 Video Lectures

PL-300 PDF Study Guide: 452 Pages

$79.99

PL-300 Bundle gives you unlimited access to "PL-300" files. However, this does not replace the need for a .vce exam simulator. To download your .vce exam simulator click here

Microsoft PL-300 Practice Test 38

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.

Question 371

A quarterly cashflow report needs cash received across days, not the final balance on one date. Which Power BI approach BEST satisfies the stated requirement?

  1. Use an additive SUM of cash-receipt transactions for the date interval.
  2. Evaluate the balance measure on the last eligible date of each period.
  3. Use a LASTNONBLANK-based date context with the stock balance expression.
  4. Calculate headcount as of the selected period end.

Explanation

Correct Answer

A:

Cash receipts are period flows and should aggregate through time, supporting quarterly inflow rather than closing balance.

Incorrect Answers

B:

A closing balance is a point-in-time stock rather than daily additive flow. Its scope is period-ending account balance, not quarterly inflow rather than closing balance.

C:

Last nonblank date patterns find the final available inventory snapshot. That is meant for most recent available inventory state, not quarterly inflow rather than closing balance.

D:

Headcount is semi-additive across organizational units but not across time. It would address headcount at reporting period end, not quarterly inflow rather than closing balance.

Question 372

A manager expects ShareOfTotalProduct to ignore Product but respect calendar selection. What should the report or semantic-model owner do?

  1. Use DIVIDE([Revenue],[Units]) after summing both measures.
  2. Use DIVIDE([Revenue],CALCULATE([Revenue],REMOVEFILTERS(Product))).
  3. Use DIVIDE([GrossMargin],[Revenue],BLANK()).
  4. Use DIVIDE([Valid Cases],[Tested Cases],0) when zero is the approved fallback.

Explanation

Correct Answer

B:

Removing only Product from denominator provides total over selected time, supporting product share of selected-period overall revenue.

Incorrect Answers

A:

Ratio of totals gives a quantity-weighted price under filter context. It would address weighted realized price per unit, not product share of selected-period overall revenue.

C:

DIVIDE handles zero or blank denominators with a defined alternative result. It may suit safe gross margin percentage, not product share of selected-period overall revenue.

D:

DIVIDE provides a controlled fallback rather than unsafe direct division. It is useful for controlled compliance completion ratio, not for product share of selected-period overall revenue.

Question 373

A monthly KPI incorrectly adds daily unique-user counts even though users recur each day. Which Power BI approach BEST satisfies the stated requirement?

  1. Use COUNTROWS(DeliveryLines) in the required context.
  2. Use CALCULATE(COUNTROWS(Customer),Customer[Status] = "Active").
  3. Calculate DISTINCTCOUNT(UserActivity[UserID]) for the whole month context.
  4. Use DISTINCTCOUNT(Sales[CustomerID]) under month filter context.

Explanation

Correct Answer

C:

Repeated users must be deduplicated across the combined period; this helps avoid duplicated cross-day distinct users.

Incorrect Answers

A:

Row counting preserves multiple lines per shipment as separate events. It is useful for number of delivery line events, not for avoiding duplicated cross-day distinct users.

B:

The status filter constrains the rows included in the count. Its scope is active customer master count, not avoid duplicated cross-day distinct users.

D:

DISTINCTCOUNT counts unique IDs in the active date filter. It would address unique monthly buyers, not avoid duplicated cross-day distinct users.

Question 374

A KPI tries to multiply SUM(Quantity) by SUM(Price) and produces an inflated total. What should the report or semantic-model owner do?

  1. Use SUMX(Sales,Sales[Quantity] * Sales[UnitPrice]).
  2. Use SUMX over the eligible rows with an appropriate positive-variance expression.
  3. Use SUMX(Assessments,Assessments[Weight] * Assessments[Score]).
  4. Replace the product of sums with SUMX at the intended transaction grain.

Explanation

Correct Answer

D:

Product of aggregates is not the same as sum of per-row products; this helps correct line-extended revenue calculation.

Incorrect Answers

A:

Row iteration multiplies values before summing, unlike separate sums. It would address revenue from row-level quantity-times-price, not correct line-extended revenue calculation.

B:

Row-by-row filtering and aggregation can keep positive contributions only. That targets sum positive line-level variances, not correct line-extended revenue calculation.

C:

SUMX evaluates product expressions for each row before aggregating. It may suit weighted aggregate assessment score, not correct line-extended revenue calculation.

Question 375

A calculated column's RELATED lookup fails because the matching dimension key is not unique. Which Power BI approach BEST satisfies the stated requirement?

  1. Fix the relationship and unique lookup key rather than applying arbitrary first-row lookup.
  2. Use RELATED(Product[Brand]) in the Sales row context.
  3. Use COUNTROWS(RELATEDTABLE(Orders)) in the customer row context.
  4. Use the model's active Product-to-Sales relationship with a measure.

Explanation

Correct Answer

A:

RELATED assumes a singular related lookup row for the evaluated fact, supporting reliable dimension lookup under key uniqueness.

Incorrect Answers

B:

RELATED retrieves an attribute on the relationship's one side. Its scope is add a related brand to sales line, not reliable dimension lookup under key uniqueness.

C:

RELATEDTABLE returns the set of related many-side rows for the current dimension row. That is meant for per-customer related order count, not reliable dimension lookup under key uniqueness.

D:

Model relationships transfer filter context from dimension to fact. It would address category-filtered aggregate without fact column copy, not reliable dimension lookup under key uniqueness.

Question 376

A default year indicator should use the current selected Year or an explicit 'Multiple' label. What should the report or semantic-model owner do?

  1. Use HASONEVALUE(Department[Name]) to branch label logic.
  2. Use SELECTEDVALUE('Date'[Year],"Multiple") for the indicator.
  3. Use SELECTEDVALUE(Region[Name],"All Regions") in a title measure.
  4. Use SELECTEDVALUE(Currency[Code]) and handle its blank result.

Explanation

Correct Answer

B:

SELECTEDVALUE defines a clear alternate when context is not singular, supporting display selected-year ambiguity safely.

Incorrect Answers

A:

HASONEVALUE tests the distinct value count in the current context. It would address detect single-department filter context, not display selected-year ambiguity safely.

C:

SELECTEDVALUE returns a scalar only when one distinct value is visible. It may suit dynamic report title with single-value fallback, not display selected-year ambiguity safely.

D:

A missing or multiple currency selection yields blank unless an alternate is specified. It is useful for unambiguous reporting-currency selection, not for display selected-year ambiguity safely.

Question 377

A sales table needs a top-ten visual under active slicers rather than hardcoding row numbers. Which Power BI approach BEST satisfies the stated requirement?

  1. Use an ALL-based comparison Store set in RANKX where that business definition is intended.
  2. Wrap the RANKX result in a blank-measure guard.
  3. Use a measure-based rank or Top N visual filter with the correct comparison set.
  4. Use RANKX over an appropriate ALLSELECTED Store set with [Revenue].

Explanation

Correct Answer

C:

Dynamic ranking updates when date or geographic filters change, supporting selection-responsive top-ten products.

Incorrect Answers

A:

An ALL comparison universe removes specified filters rather than using only selected peers. It is useful for global branch rank independent of branch slicer, not for selection-responsive top-ten products.

B:

Explicit blank handling avoids ranking missing observations as actual low performers. Its scope is omit ranks for missing business values, not selection-responsive top-ten products.

D:

RANKX compares values across an explicitly defined comparison table. It would address store revenue ranking among selected peers, not selection-responsive top-ten products.

Question 378

A report currently uses [Sales] in its measure and needs to temporarily activate an inactive DeliveryDate relationship. What should the report or semantic-model owner do?

  1. Use CALCULATE([Sales],REMOVEFILTERS(Product[Brand])).
  2. Use CALCULATE(COUNTROWS(Cases),Cases[Status]="Closed").
  3. Use KEEPFILTERS for the added Customer segment condition.
  4. Use CALCULATE([Sales],USERELATIONSHIP('Date'[Date],Sales[DeliveryDate])).

Explanation

Correct Answer

D:

USERELATIONSHIP changes the active path only for the calculation scope; this helps calculate revenue by alternate delivery date.

Incorrect Answers

A:

Removing a targeted column filter leaves unrelated Country context intact. It would address brand-independent totals within selected country, not calculate revenue by alternate delivery date.

B:

CALCULATE evaluates the expression under an added status condition. That targets filtered closed-case count, not calculate revenue by alternate delivery date.

C:

KEEPFILTERS narrows existing context instead of replacing compatible selected values. It may suit additive filter intersection rather than overwrite, not calculate revenue by alternate delivery date.

Question 379

A team wants a calculated column for each user-selected time comparison instead of a reusable measure modifier. Which Power BI approach BEST satisfies the stated requirement?

  1. Use a calculation group where dynamic measure transformation is the requirement.
  2. Create a time-intelligence calculation group with a YTD calculation item.
  3. Use separate calculation items referencing SELECTEDMEASURE and context shifts.
  4. Configure an appropriate dynamic format string expression for calculation items.

Explanation

Correct Answer

A:

Calculation groups operate on measures rather than materializing repeated per-row columns; this helps avoid duplicating columns for dynamic period calculations.

Incorrect Answers

B:

Calculation items can transform SELECTEDMEASURE across eligible base measures. Its scope is reuse YTD behavior across many measures, not avoid duplicating columns for dynamic period calculations.

C:

Calculation items centralize recurring measure transformations. That is meant for central reusable period comparisons, not avoid duplicating columns for dynamic period calculations.

D:

Dynamic formats preserve expected unit and percent presentation across transformed measures. It would address correct formatting of transformed measures, not avoid duplicating columns for dynamic period calculations.

Question 380

A Quick measure gives an unexpectedly inflated result after a relationship change. What should the report or semantic-model owner do?

  1. Author and validate an explicit DAX measure for the custom fiscal rule.
  2. Examine the generated DAX and check the new filter context rather than trusting the template.
  3. Use a supported Quick measure running-total template, then inspect its DAX.
  4. Use the supported Quick measure percentage-of-total operation.

Explanation

Correct Answer

B:

Generated formulas depend on model relationships and business grain, supporting debug Quick measure filter-context assumptions.

Incorrect Answers

A:

Direct DAX is required when a business definition exceeds supplied templates. It would address precise custom fiscal-period calculation, not debug Quick measure filter-context assumptions.

C:

Quick measures generate standard patterns that still require business validation. It may suit bootstrap a standard cumulative calculation, not debug Quick measure filter-context assumptions.

D:

Quick measures assemble common denominator and context expressions. It is useful for generate an initial share-of-total pattern, not for debug Quick measure filter-context assumptions.


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