cert
cert-1
cert-2

Pass Microsoft PL-300 Exam in First Attempt Guaranteed!

Get 100% Latest Exam Questions, Accurate & Verified Answers to Pass the Actual Exam!
30 Days Free Updates, Instant Download!

cert-5
cert-6
PL-300 Exam - Verified By Experts
PL-300 Premium Bundle
$29.98

PL-300 Premium Bundle

$79.99
$109.97
  • Premium File 398 Questions & Answers. Last update: Oct 24, 2026
  • Training Course 266 Video Lectures
  • Study Guide 452 Pages
 
$109.97
$79.99
accept 130 downloads in last 7 days
block-screenshots
Purchase Microsoft PL-300 Exam Training Products Individually
Microsoft PL-300 Premium File
Premium File 398 Q&A
$76.99$69.99
Microsoft PL-300 Video Training Course
Training Course 266 Lectures
$21.99 $19.99
Microsoft PL-300 PDF Study Guide
Study Guide 452 Pages
$21.99 $19.99
Microsoft PL-300 Practice Test 18

Question 170

An analyst combines two tables that have the same columns but distinct store-region rows. A colleague proposes: Merge the tables using StoreID when their rows represent different regions. Which explanation BEST identifies the defect in that proposal?

  1. Append concatenates rows from similar schemas; merge adds columns by key
  2. The suggested approach is safe merely because its product name is familiar.
  3. A currency suffix prevents numeric conversion and loses currency meaning
  4. A join may duplicate or drop rows instead of adding region transactions

Explanation

Correct Answer

D:

A join may duplicate or drop rows instead of adding region transactions. This directly explains why the proposal 'Merge the tables using StoreID when their rows represent different regions' should not be used.

Incorrect Answers

A:

This is reasoning supporting the preferred solution 'Use Append Queries instead of Merge Queries', but it does not directly name the defect in the proposed shortcut.

B:

Product familiarity is not evidence of suitability. The actual defect in this proposal is: A join may duplicate or drop rows instead of adding region transactions.

C:

This addresses a different case: A transactions table includes a currency field stored as text such as 1,234.56 USD. It is not the specific defect in 'Merge the tables using StoreID when their rows represent different regions'.

Question 171

An analyst combines two tables that have the same columns but distinct store-region rows. After implementing Use Append Queries instead of Merge Queries, which observation BEST demonstrates that the intended result is actually working?

  1. Amount sums correctly and the original ISO currency code is retained
  2. The team schedules a future check of whether Output row count is the sum of the valid input rows, but has not observed a result.
  3. Output row count is the sum of the valid input rows
  4. The report owner approves Use Append Queries instead of Merge Queries without testing the resulting behavior.

Explanation

Correct Answer

C:

The observation 'Output row count is the sum of the valid input rows' directly tests the intended result. Append concatenates rows from similar schemas; merge adds columns by key.

Incorrect Answers

A:

This belongs to a different case: A transactions table includes a currency field stored as text such as 1,234.56 USD. It does not validate the current change.

B:

A future test is not yet observed operational evidence. The verification must establish: Output row count is the sum of the valid input rows.

D:

Approval of a proposed design is not evidence of working behavior. The required observation is: Output row count is the sum of the valid input rows.

Question 172

The original scenario was: An analyst combines two tables that have the same columns but distinct store-region rows. The initial solution is already in place. Now this new requirement arises: Region labels need to be attached from a separate Store dimension. Which ADDITIONAL action BEST meets the changed condition?

  1. Merge the combined fact with the Store dimension using its key
  2. Merge the tables using StoreID when their rows represent different regions
  3. Use Append Queries instead of Merge Queries
  4. Output row count is the sum of the valid input rows

Explanation

Correct Answer

A:

The changed requirement is 'Region labels need to be attached from a separate Store dimension'. The additional response is 'Merge the combined fact with the Store dimension using its key'.

Incorrect Answers

B:

This remains unsuitable for the original situation: A join may duplicate or drop rows instead of adding region transactions. It also does not meet the changed need.

C:

This is the already implemented original solution: Use Append Queries instead of Merge Queries. Append concatenates rows from similar schemas; merge adds columns by key. It does not itself solve the new requirement.

D:

This observes the original approach but is not an additional action: Output row count is the sum of the valid input rows.

Question 173

A daily file export from a folder must become one fact without manual monthly file imports. Which approach BEST meets the stated Microsoft Power BI requirement?

  1. Modify the sample transform to handle schema changes safely
  2. Use Combine Files from a supported folder connector with a consistent sample transform
  3. Use a Left Outer merge from Sales to Products
  4. Manually copy every new month's data into a hardcoded table

Explanation

Correct Answer

B:

Folder combine applies a shared transformation across compatible files. For the stated case, Use Combine Files from a supported folder connector with a consistent sample transform.

Incorrect Answers

A:

This might be appropriate after a different requirement arises: A vendor adds a column only to future files. It is not the best initial response to the stated case.

C:

This addresses a separate source situation: An analyst must retain every sale even when a matching product master row is missing. It does not directly satisfy this case's priority. In the current question, this comparison is made against: A daily file export from a folder must become one fact without manual monthly file imports. Which approach BEST meets the stated Microsoft Power BI requirement?

D:

Manual copy is fragile and prevents dependable source refresh. The proposed shortcut 'Manually copy every new month's data into a hardcoded table' fails the documented need.

Question 174

A daily file export from a folder must become one fact without manual monthly file imports. A colleague proposes: Manually copy every new month's data into a hardcoded table. Which explanation BEST identifies the defect in that proposal?

  1. Manual copy is fragile and prevents dependable source refresh
  2. Inner joins remove fact rows lacking a matching dimension key
  3. The suggested approach is safe merely because its product name is familiar.
  4. Folder combine applies a shared transformation across compatible files

Explanation

Correct Answer

A:

Manual copy is fragile and prevents dependable source refresh. This directly explains why the proposal 'Manually copy every new month's data into a hardcoded table' should not be used.

Incorrect Answers

B:

This addresses a different case: An analyst must retain every sale even when a matching product master row is missing. It is not the specific defect in 'Manually copy every new month's data into a hardcoded table'.

C:

Product familiarity is not evidence of suitability. The actual defect in this proposal is: Manual copy is fragile and prevents dependable source refresh.

D:

This is reasoning supporting the preferred solution 'Use Combine Files from a supported folder connector with a consistent sample transform', but it does not directly name the defect in the proposed shortcut.

Question 175

A daily file export from a folder must become one fact without manual monthly file imports. After implementing Use Combine Files from a supported folder connector with a consistent sample transform, which observation BEST demonstrates that the intended result is actually working?

  1. Fact row counts remain unchanged and unmatched products are identifiable
  2. The report owner approves Use Combine Files from a supported folder connector with a consistent sample transform without testing the resulting behavior.
  3. The team schedules a future check of whether A newly dropped compatible file is included after refresh, but has not observed a result.
  4. A newly dropped compatible file is included after refresh

Explanation

Correct Answer

D:

The observation 'A newly dropped compatible file is included after refresh' directly tests the intended result. Folder combine applies a shared transformation across compatible files.

Incorrect Answers

A:

This belongs to a different case: An analyst must retain every sale even when a matching product master row is missing. It does not validate the current change. In the current question, this comparison is made against: A daily file export from a folder must become one fact without manual monthly file imports. After implementing Use Combine Files from a supported folder connector with a consistent sample transform, which observation BEST demonstrates that the intended result is actually working?

B:

Approval of a proposed design is not evidence of working behavior. The required observation is: A newly dropped compatible file is included after refresh.

C:

A future test is not yet observed operational evidence. The verification must establish: A newly dropped compatible file is included after refresh.

Question 176

The original scenario was: A daily file export from a folder must become one fact without manual monthly file imports. The initial solution is already in place. Now this new requirement arises: A vendor adds a column only to future files. Which ADDITIONAL action BEST meets the changed condition?

  1. Modify the sample transform to handle schema changes safely
  2. A newly dropped compatible file is included after refresh
  3. Use Combine Files from a supported folder connector with a consistent sample transform
  4. Manually copy every new month's data into a hardcoded table

Explanation

Correct Answer

A:

The changed requirement is 'A vendor adds a column only to future files'. The additional response is 'Modify the sample transform to handle schema changes safely'.

Incorrect Answers

B:

This observes the original approach but is not an additional action: A newly dropped compatible file is included after refresh.

C:

This is the already implemented original solution: Use Combine Files from a supported folder connector with a consistent sample transform. Folder combine applies a shared transformation across compatible files. It does not itself solve the new requirement.

D:

This remains unsuitable for the original situation: Manual copy is fragile and prevents dependable source refresh. It also does not meet the changed need.

Question 177

A sales fact contains both a date-time timestamp and a reporting requirement grouped by calendar day. Which approach BEST meets the stated Microsoft Power BI requirement?

  1. Derive a Date column with date type from the timestamp
  2. Keep an unformatted datetime as the date relationship key
  3. Retain the timestamp and derive an Hour field for the additional grain
  4. Parse the YYYYMMDD string into a true Date value

Explanation

Correct Answer

A:

Date-only grouping supports relationships to a date dimension without time components. For the stated case, Derive a Date column with date type from the timestamp.

Incorrect Answers

B:

Different times on the same day can fail to match a date-only key. The proposed shortcut 'Keep an unformatted datetime as the date relationship key' fails the documented need.

C:

This might be appropriate after a different requirement arises: Operations also needs hourly analysis. It is not the best initial response to the stated case.

D:

This addresses a separate source situation: A report source stores the number 20261231 as text and wants proper daily date filtering. It does not directly satisfy this case's priority.

Question 178

A sales fact contains both a date-time timestamp and a reporting requirement grouped by calendar day. A colleague proposes: Keep an unformatted datetime as the date relationship key. Which explanation BEST identifies the defect in that proposal?

  1. Different times on the same day can fail to match a date-only key
  2. Formatting text does not guarantee a typed calendar value
  3. The suggested approach is safe merely because its product name is familiar.
  4. Date-only grouping supports relationships to a date dimension without time components

Explanation

Correct Answer

A:

Different times on the same day can fail to match a date-only key. This directly explains why the proposal 'Keep an unformatted datetime as the date relationship key' should not be used.

Incorrect Answers

B:

This addresses a different case: A report source stores the number 20261231 as text and wants proper daily date filtering. It is not the specific defect in 'Keep an unformatted datetime as the date relationship key'.

C:

Product familiarity is not evidence of suitability. The actual defect in this proposal is: Different times on the same day can fail to match a date-only key.

D:

This is reasoning supporting the preferred solution 'Derive a Date column with date type from the timestamp', but it does not directly name the defect in the proposed shortcut.

Question 179

A sales fact contains both a date-time timestamp and a reporting requirement grouped by calendar day. After implementing Derive a Date column with date type from the timestamp, which observation BEST demonstrates that the intended result is actually working?

  1. 31 December 2026 is interpreted as a real date with correct sorting
  2. The report owner approves Derive a Date column with date type from the timestamp without testing the resulting behavior.
  3. All transaction times on a date map to the same date dimension row
  4. The team schedules a future check of whether All transaction times on a date map to the same date dimension row, but has not observed a result.

Explanation

Correct Answer

C:

The observation 'All transaction times on a date map to the same date dimension row' directly tests the intended result. Date-only grouping supports relationships to a date dimension without time components.

Incorrect Answers

A:

This belongs to a different case: A report source stores the number 20261231 as text and wants proper daily date filtering. It does not validate the current change.

B:

Approval of a proposed design is not evidence of working behavior. The required observation is: All transaction times on a date map to the same date dimension row.

D:

A future test is not yet observed operational evidence. The verification must establish: All transaction times on a date map to the same date dimension row.

Question 180

The original scenario was: A sales fact contains both a date-time timestamp and a reporting requirement grouped by calendar day. The initial solution is already in place. Now this new requirement arises: Operations also needs hourly analysis. Which ADDITIONAL action BEST meets the changed condition?

  1. Keep an unformatted datetime as the date relationship key
  2. Derive a Date column with date type from the timestamp
  3. All transaction times on a date map to the same date dimension row
  4. Retain the timestamp and derive an Hour field for the additional grain

Explanation

Correct Answer

D:

The changed requirement is 'Operations also needs hourly analysis'. The additional response is 'Retain the timestamp and derive an Hour field for the additional grain'.

Incorrect Answers

A:

This remains unsuitable for the original situation: Different times on the same day can fail to match a date-only key. It also does not meet the changed need.

B:

This is the already implemented original solution: Derive a Date column with date type from the timestamp. Date-only grouping supports relationships to a date dimension without time components. It does not itself solve the new requirement.

C:

This observes the original approach but is not an additional action: All transaction times on a date map to the same date dimension row.

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