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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 30

Question 290

An organizational phone field contains plus signs and should never be summed. What should the report or semantic-model owner do?

  1. Store phone numbers as Text with appropriate presentation metadata.
  2. Assign City geographic data category and add State/Country context as needed.
  3. Set the field data category to Web URL and configure its visual use.
  4. Assign Image URL data category and use a compatible visual.

Explanation

Correct Answer

A:

Telephone strings are identifiers and formatting, not arithmetic measures; this helps preserve international telephone number formats.

Incorrect Answers

B:

Correct category and disambiguating location fields improve mapping interpretation. That targets identify geographic city names, not preserve international telephone number formats.

C:

URL classification supports hyperlink presentation in eligible visuals. It may suit hyperlink-based report navigation, not preserve international telephone number formats.

D:

Image URL metadata tells supported visuals to render remote image links. It is useful for display linked product images, not for preserving international telephone number formats.

Question 291

A relational source suffers unacceptable DirectQuery latency but its data can refresh hourly. Which Power BI approach BEST satisfies the stated requirement?

  1. Use Direct Lake where the table and capacity prerequisites are met.
  2. Switch to Import where permitted and configure the required refresh interval.
  3. Use a supported composite model with a local annotation table where authorized.
  4. Use an appropriately designed composite model with Import and DirectQuery tables.

Explanation

Correct Answer

B:

Imported columnar storage often improves interactive performance at the cost of source freshness, supporting trade minute-level source freshness for interaction speed.

Incorrect Answers

A:

Direct Lake evaluates supported OneLake Delta data without classic full Import duplication. It is useful for lake-backed semantic data access, not for trade minute-level source freshness for interaction speed.

C:

Composite models combine source-connected tables and added local tables under defined permissions. That is meant for extend DirectQuery model with local metadata, not trade minute-level source freshness for interaction speed.

D:

Different table storage modes balance historical cache and live source access. It would address mix cached and current datasets in one model, not trade minute-level source freshness for interaction speed.

Question 292

A slicer unexpectedly filters a disconnected table but the intended calculation has no relationship. What should the report or semantic-model owner do?

  1. Reconcile orphan region keys and ensure the dimension covers valid fact codes.
  2. Fix cardinality and key uniqueness before using related-column functions.
  3. Create a proper relationship or implement an explicit virtual relationship where appropriate.
  4. Add a valid Date-to-Budget relationship at a compatible date grain.

Explanation

Correct Answer

C:

Disconnected filters require an intentional propagation mechanism such as TREATAS; this helps control filter propagation to an unconnected table.

Incorrect Answers

A:

Missing lookup members can create blank unknown-member buckets and surprising filter gaps. It would address resolve missing dimension records, not control filter propagation to an unconnected table.

B:

Deterministic lookup expressions require appropriate relationship and singular related values. That targets reliable related dimension attribute retrieval, not control filter propagation to an unconnected table.

D:

Relationships propagate dimension filters only to connected tables through eligible paths. It is useful for align budget and actuals to date slicers, not for control filter propagation to an unconnected table.

Question 293

A report author added a calculated column repeating a measure result for every row, increasing model size. Which Power BI approach BEST satisfies the stated requirement?

  1. Hide technical identifiers and document business measure metadata.
  2. Change identifiers to Text and preserve their source value formatting.
  3. Define a shared measure in the governed semantic model.
  4. Replace the stored aggregate column with a context-sensitive measure when suitable.

Explanation

Correct Answer

D:

Measures avoid materializing repeated per-row aggregates in model storage; this helps reduce unnecessary stored calculation duplication.

Incorrect Answers

A:

Semantic presentation keeps stable model internals without confusing report creators. It is useful for curated business-facing field list, not for reducing unnecessary stored calculation duplication.

B:

Codes should not use arithmetic types when digits encode names rather than quantities. Its scope is preserve nonnumeric identifier meaning, not reduce unnecessary stored calculation duplication.

C:

Model-level measures provide a single auditable metric used by downstream reports. That is meant for centrally governed business metric, not reduce unnecessary stored calculation duplication.

Question 294

A monthly snapshot must reflect the product hierarchy effective on each snapshot date rather than today's hierarchy. What should the report or semantic-model owner do?

  1. Resolve the appropriate dimension version at each snapshot's effective date.
  2. Design a type-2 slowly changing dimension with effective dates and surrogate keys.
  3. Use a type-1 overwrite of manager attributes where business rules permit.
  4. Relate facts using the correct version-aware surrogate dimension key.

Explanation

Correct Answer

A:

Time-valid joins prevent rewriting historical categorizations using the current dimension record, supporting historically accurate periodic snapshots.

Incorrect Answers

B:

Type-2 versioned dimension rows preserve historical attributes when categories change. That targets report facts against historical product categories, not historically accurate periodic snapshots.

C:

Type-1 changes replace old values and do not preserve history. It may suit current-only master-data attributes, not historically accurate periodic snapshots.

D:

Versioned dimensions need unique row identities distinct from repeating natural business keys. It is useful for unique history dimension relationships, not for historically accurate periodic snapshots.

Question 295

A report uses a snowflake chain for ProductCategory lookups despite little normalization benefit. Which Power BI approach BEST satisfies the stated requirement?

  1. Fix cardinality to Customer one-to-many Sales after validating uniqueness.
  2. Consider a flattened Product dimension where business grain and governance allow.
  3. Restore single-direction dimension-to-fact filtering where valid.
  4. Redesign with conformed dimensions and intentional bridge relationships.

Explanation

Correct Answer

B:

Flatter dimensions can simplify relationship traversal in semantic queries, supporting streamline unnecessary dimension lookup hops.

Incorrect Answers

A:

Correct cardinality conveys intended star-schema semantics. It is useful for accurate customer-to-sales filter relationship, not for streamline unnecessary dimension lookup hops.

C:

Reduced filter paths can simplify context propagation and eliminate ambiguity. That is meant for avoid widespread bidirectional relationship cost, not streamline unnecessary dimension lookup hops.

D:

Clear one-side dimensions simplify filter propagation and aggregation. It would address replace ambiguous fact-to-fact association, not streamline unnecessary dimension lookup hops.

Question 296

A model's cardinality is set many-to-many although a customer dimension can be made unique. What should the report or semantic-model owner do?

  1. Use reusable base measures and variables while preserving filter semantics.
  2. Remove ambiguous active paths and activate alternate ones only in measures.
  3. Reconcile and deduplicate dimension keys, then set one-to-many cardinality.
  4. Split descriptive dimensions from the transactional fact at the correct grain.

Explanation

Correct Answer

C:

A unique lookup dimension supports efficient and accurate filtering; this helps correct repeated customer lookup identity.

Incorrect Answers

A:

Centralized calculation patterns reduce repeated work and maintenance risk. It would address reuse expensive measure components, not correct repeated customer lookup identity.

B:

Clear relationship paths reduce query ambiguity and redundant propagation. That targets simplify multiple active date relationships, not correct repeated customer lookup identity.

D:

Star modeling reduces repeated text in fact storage and clarifies relationships. It is useful for improving denormalized model efficiency, not for correcting repeated customer lookup identity.

Question 297

A report's Revenue card must sum Sales[NetAmount] under current product and region filters. Which action is most appropriate for the stated business outcome?

  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

A:

SUM aggregates numeric fact values within the current filter context, supporting additive filtered revenue metric.

Incorrect Answers

B:

COUNTROWS counts records in the filtered fact table rather than distinct identifiers. Its scope is filtered transaction event count, not additive filtered revenue metric.

C:

DISTINCTCOUNT avoids counting multiple transactions for the same customer as separate buyers. That is meant for unique purchasing customer count, not additive filtered revenue metric.

D:

AVERAGE calculates the mean of eligible numeric values in filter context. It would address context-sensitive average satisfaction, not additive filtered revenue metric.

Question 298

A measure must return revenue only for rows with Sales[Channel] equal to Online. Which step should the analyst take?

  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

B:

CALCULATE modifies filter context for the enclosed expression, supporting revenue restricted to online channel.

Incorrect Answers

A:

Controlled filter removal retains intended region context for the baseline. It would address regional product share versus regional total, not revenue restricted to online channel.

C:

REMOVEFILTERS clears only the specified category filter while other compatible filters remain. It may suit product-category-independent revenue, not revenue restricted to online channel.

D:

KEEPFILTERS intersects a new condition with existing filters rather than overwriting them. It is useful for intersect selected product conditions, not for revenue restricted to online channel.

Question 299

A sales-line calculated column must multiply Quantity by UnitPrice for that line. Which action is most appropriate for the stated business outcome?

  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

C:

Calculated columns evaluate each row's fields at model processing, supporting per-line extended price.

Incorrect Answers

A:

SUMX iterates rows, evaluates the expression per row, and sums the results. It is useful for sum a row-by-row calculated sales amount, not for per-line extended price.

B:

RELATED retrieves a single corresponding attribute from the relationship's one side. Its scope is retrieve dimension category for each sale row, not per-line extended price.

D:

Measures respond to active report filters rather than storing one static per-row value. It would address responsive report aggregation, not per-line extended price.

Question 300

An income statement needs cumulative revenue from January 1 through the selected reporting date. Which step should the analyst take?

  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

D:

TOTALYTD aggregates a measure from year start to the current date context, supporting calendar year-to-date revenue.

Incorrect Answers

A:

Fiscal YTD changes the accumulation boundary from the calendar year to the fiscal year. It would address fiscal year-to-date financial amount, not calendar year-to-date revenue.

B:

Month-to-date resets the accumulation at each month boundary. That targets selected month-to-date total, not calendar year-to-date revenue.

C:

Quarter-to-date calculations aggregate within the current quarter context. It may suit partial-quarter cumulative revenue, not calendar year-to-date revenue.


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