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Microsoft PL-300 Practice Test 23

Question 220

The original scenario was: A transactions table includes a currency field stored as text such as 1,234.56 USD. The initial solution is already in place. Now this new requirement arises: Some values use comma decimals instead of period decimals. Which ADDITIONAL action BEST meets the changed condition?

  1. Amount sums correctly and the original ISO currency code is retained
  2. Parse amount and currency into appropriate numeric and text columns
  3. Change the entire combined field to Whole Number without parsing its suffix
  4. Apply culture-aware numeric parsing per input source

Explanation

Correct Answer

D:

The changed requirement is 'Some values use comma decimals instead of period decimals'. The additional response is 'Apply culture-aware numeric parsing per input source'.

Incorrect Answers

A:

This observes the original approach but is not an additional action: Amount sums correctly and the original ISO currency code is retained.

B:

This is the already implemented original solution: Parse amount and currency into appropriate numeric and text columns. Currency codes and amounts should be independently typed for aggregation. It does not itself solve the new requirement.

C:

This remains unsuitable for the original situation: A currency suffix prevents numeric conversion and loses currency meaning. It also does not meet the changed need.

Question 221

An order-source XML file has repeated LineItem nodes that must become fact rows. Which TWO entries together identify the most appropriate initial action and direct observed evidence of its success? (Select TWO.)

  1. Every valid LineItem becomes a row linked to its parent OrderID
  2. Use an unrelated SQL table's sort order to flatten XML
  3. Group by ProductID and calculate a distinct location count
  4. Expand the repeating XML elements into a tabular list of order lines
  5. Retain source document identifiers and raw archive separately

Explanation

Correct Answers

A:

Correct direct operational evidence. Every valid LineItem becomes a row linked to its parent OrderID. This is a check of the original requirement, not an unperformed plan.

D:

Nested XML structures require expansion of their repeated child records. For the stated case, Expand the repeating XML elements into a tabular list of order lines.

Incorrect Answers

B:

Sorting another source does not transform XML nodes. The proposed shortcut 'Use an unrelated SQL table's sort order to flatten XML' fails the documented need.

C:

This addresses a separate source situation: An inventory file lists multiple stock locations per product and analysts want the number of locations. It does not directly satisfy this case's priority. In the current question, this comparison is made against: An order-source XML file has repeated LineItem nodes that must become fact rows. Which TWO entries together identify the most appropriate initial action and direct observed evidence of its success? (Select TWO.)

E:

This might be appropriate after a different requirement arises: Auditors require the unexpanded original XML for traceability. It is not the best initial response to the stated case.

Question 222

An order-source XML file has repeated LineItem nodes that must become fact rows. A colleague proposes: Use an unrelated SQL table's sort order to flatten XML. Which explanation BEST identifies the defect in that proposal?

  1. Deduplication at product grain loses valid location rows
  2. Nested XML structures require expansion of their repeated child records
  3. Sorting another source does not transform XML nodes
  4. The suggested approach is safe merely because its product name is familiar.

Explanation

Correct Answer

C:

Sorting another source does not transform XML nodes. This directly explains why the proposal 'Use an unrelated SQL table's sort order to flatten XML' should not be used.

Incorrect Answers

A:

This addresses a different case: An inventory file lists multiple stock locations per product and analysts want the number of locations. It is not the specific defect in 'Use an unrelated SQL table's sort order to flatten XML'.

B:

This is reasoning supporting the preferred solution 'Expand the repeating XML elements into a tabular list of order lines', but it does not directly name the defect in the proposed shortcut.

D:

Product familiarity is not evidence of suitability. The actual defect in this proposal is: Sorting another source does not transform XML nodes.

Question 223

An order-source XML file has repeated LineItem nodes that must become fact rows. After implementing Expand the repeating XML elements into a tabular list of order lines, which observation BEST demonstrates that the intended result is actually working?

  1. The report owner approves Expand the repeating XML elements into a tabular list of order lines without testing the resulting behavior.
  2. Counts match an independent distinct product-location tally
  3. The team schedules a future check of whether Every valid LineItem becomes a row linked to its parent OrderID, but has not observed a result.
  4. Every valid LineItem becomes a row linked to its parent OrderID

Explanation

Correct Answer

D:

The observation 'Every valid LineItem becomes a row linked to its parent OrderID' directly tests the intended result. Nested XML structures require expansion of their repeated child records.

Incorrect Answers

A:

Approval of a proposed design is not evidence of working behavior. The required observation is: Every valid LineItem becomes a row linked to its parent OrderID.

B:

This belongs to a different case: An inventory file lists multiple stock locations per product and analysts want the number of locations. It does not validate the current change. In the current question, this comparison is made against: An order-source XML file has repeated LineItem nodes that must become fact rows. After implementing Expand the repeating XML elements into a tabular list of order lines, which observation BEST demonstrates that the intended result is actually working?

C:

A future test is not yet observed operational evidence. The verification must establish: Every valid LineItem becomes a row linked to its parent OrderID.

Question 224

The original scenario was: An order-source XML file has repeated LineItem nodes that must become fact rows. The initial solution is already in place. Now this new requirement arises: Auditors require the unexpanded original XML for traceability. Which ADDITIONAL action BEST meets the changed condition?

  1. Expand the repeating XML elements into a tabular list of order lines
  2. Every valid LineItem becomes a row linked to its parent OrderID
  3. Retain source document identifiers and raw archive separately
  4. Use an unrelated SQL table's sort order to flatten XML

Explanation

Correct Answer

C:

The changed requirement is 'Auditors require the unexpanded original XML for traceability'. The additional response is 'Retain source document identifiers and raw archive separately'.

Incorrect Answers

A:

This is the already implemented original solution: Expand the repeating XML elements into a tabular list of order lines. Nested XML structures require expansion of their repeated child records. It does not itself solve the new requirement.

B:

This observes the original approach but is not an additional action: Every valid LineItem becomes a row linked to its parent OrderID.

D:

This remains unsuitable for the original situation: Sorting another source does not transform XML nodes. It also does not meet the changed need.

Question 225

The Sales table has many transactions per ProductKey and Products has one row per ProductKey. Which approach BEST meets the stated Microsoft Power BI requirement?

  1. Use a row-context calculated column for the category when refresh-time classification is acceptable
  2. Set the Sales fact side to One even though it contains repeated ProductKeys
  3. Repair Product key uniqueness before restoring the relationship
  4. Create a one-to-many relationship from Products to Sales

Explanation

Correct Answer

D:

A unique dimension key can filter multiple matching fact records. For the stated case, Create a one-to-many relationship from Products to Sales.

Incorrect Answers

A:

This addresses a separate source situation: An analyst wants a calculated column to label each Sale as HighValue when its amount exceeds a threshold. It does not directly satisfy this case's priority.

B:

Incorrect cardinality contradicts the key uniqueness required on the One side. The proposed shortcut 'Set the Sales fact side to One even though it contains repeated ProductKeys' fails the documented need.

C:

This might be appropriate after a different requirement arises: Some product records are duplicated because of a source-quality issue. It is not the best initial response to the stated case.

Question 226

The Sales table has many transactions per ProductKey and Products has one row per ProductKey. A colleague proposes: Set the Sales fact side to One even though it contains repeated ProductKeys. Which explanation BEST identifies the defect in that proposal?

  1. The suggested approach is safe merely because its product name is familiar.
  2. Incorrect cardinality contradicts the key uniqueness required on the One side
  3. A unique dimension key can filter multiple matching fact records
  4. Measures change with filter context and cannot act as materialized row relationship keys

Explanation

Correct Answer

B:

Incorrect cardinality contradicts the key uniqueness required on the One side. This directly explains why the proposal 'Set the Sales fact side to One even though it contains repeated ProductKeys' should not be used.

Incorrect Answers

A:

Product familiarity is not evidence of suitability. The actual defect in this proposal is: Incorrect cardinality contradicts the key uniqueness required on the One side.

C:

This is reasoning supporting the preferred solution 'Create a one-to-many relationship from Products to Sales', but it does not directly name the defect in the proposed shortcut.

D:

This addresses a different case: An analyst wants a calculated column to label each Sale as HighValue when its amount exceeds a threshold. It is not the specific defect in 'Set the Sales fact side to One even though it contains repeated ProductKeys'.

Question 227

The Sales table has many transactions per ProductKey and Products has one row per ProductKey. After implementing Create a one-to-many relationship from Products to Sales, which observation BEST demonstrates that the intended result is actually working?

  1. Selecting one product filters all of its matching sales rows without duplicate key errors
  2. The team schedules a future check of whether Selecting one product filters all of its matching sales rows without duplicate key errors, but has not observed a result.
  3. The category is available for slicers and follows the declared refresh-time rule
  4. The report owner approves Create a one-to-many relationship from Products to Sales without testing the resulting behavior.

Explanation

Correct Answer

A:

The observation 'Selecting one product filters all of its matching sales rows without duplicate key errors' directly tests the intended result. A unique dimension key can filter multiple matching fact records.

Incorrect Answers

B:

A future test is not yet observed operational evidence. The verification must establish: Selecting one product filters all of its matching sales rows without duplicate key errors.

C:

This belongs to a different case: An analyst wants a calculated column to label each Sale as HighValue when its amount exceeds a threshold. It does not validate the current change.

D:

Approval of a proposed design is not evidence of working behavior. The required observation is: Selecting one product filters all of its matching sales rows without duplicate key errors.

Question 228

The original scenario was: The Sales table has many transactions per ProductKey and Products has one row per ProductKey. The initial solution is already in place. Now this new requirement arises: Some product records are duplicated because of a source-quality issue. Which ADDITIONAL action BEST meets the changed condition?

  1. Repair Product key uniqueness before restoring the relationship
  2. Set the Sales fact side to One even though it contains repeated ProductKeys
  3. Create a one-to-many relationship from Products to Sales
  4. Selecting one product filters all of its matching sales rows without duplicate key errors

Explanation

Correct Answer

A:

The changed requirement is 'Some product records are duplicated because of a source-quality issue'. The additional response is 'Repair Product key uniqueness before restoring the relationship'.

Incorrect Answers

B:

This remains unsuitable for the original situation: Incorrect cardinality contradicts the key uniqueness required on the One side. It also does not meet the changed need.

C:

This is the already implemented original solution: Create a one-to-many relationship from Products to Sales. A unique dimension key can filter multiple matching fact records. It does not itself solve the new requirement.

D:

This observes the original approach but is not an additional action: Selecting one product filters all of its matching sales rows without duplicate key errors.

Question 229

A report has ambiguous filter paths because both Product and Customer cross-filter the Sales fact bidirectionally. Which approach BEST meets the stated Microsoft Power BI requirement?

  1. Enable Both direction on every relationship to simplify all modeling
  2. Assess selective bidirectional behavior with tested totals and security implications
  3. Create a proper contiguous date table and mark it as the Date table
  4. Prefer single-direction dimension-to-fact filtering unless a specific need is validated

Explanation

Correct Answer

D:

Single-direction relationships reduce ambiguity in star schemas. For the stated case, Prefer single-direction dimension-to-fact filtering unless a specific need is validated.

Incorrect Answers

A:

Unnecessary bidirectional filtering can create ambiguous paths. The proposed shortcut 'Enable Both direction on every relationship to simplify all modeling' fails the documented need.

B:

This might be appropriate after a different requirement arises: A specific bridge scenario requires a carefully scoped reverse filter. It is not the best initial response to the stated case.

C:

This addresses a separate source situation: Time-intelligence DAX fails because the date field contains gaps and duplicate timestamps. It does not directly satisfy this case's priority.

Question 230

A report has ambiguous filter paths because both Product and Customer cross-filter the Sales fact bidirectionally. A colleague proposes: Enable Both direction on every relationship to simplify all modeling. Which explanation BEST identifies the defect in that proposal?

  1. The suggested approach is safe merely because its product name is familiar.
  2. Duplicated granular timestamps do not meet date-dimension requirements
  3. Single-direction relationships reduce ambiguity in star schemas
  4. Unnecessary bidirectional filtering can create ambiguous paths

Explanation

Correct Answer

D:

Unnecessary bidirectional filtering can create ambiguous paths. This directly explains why the proposal 'Enable Both direction on every relationship to simplify all modeling' should not be used.

Incorrect Answers

A:

Product familiarity is not evidence of suitability. The actual defect in this proposal is: Unnecessary bidirectional filtering can create ambiguous paths.

B:

This addresses a different case: Time-intelligence DAX fails because the date field contains gaps and duplicate timestamps. It is not the specific defect in 'Enable Both direction on every relationship to simplify all modeling'.

C:

This is reasoning supporting the preferred solution 'Prefer single-direction dimension-to-fact filtering unless a specific need is validated', but it does not directly name the defect in the proposed shortcut.

Microsoft Power BI Data Analyst (PL-300) Practice Tests