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Microsoft PL-300 Bundle

Exam Code: PL-300

Exam Name Microsoft Power BI Data Analyst

Certification Provider: Microsoft

Corresponding Certification: Microsoft Certified: Power BI Data Analyst Associate

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Microsoft PL-300 Practice Test 13

Question 120

A team uses Merge to add same-schema monthly sales and gets many null columns instead of stacked records. What should change?

  1. Append the quarterly tables to stack their rows.
  2. Replace that merge with Append Queries for same-schema row concatenation.
  3. Append them and expect nulls for columns absent in a source.
  4. Deduplicate or remodel the customer lookup before expanding the merge.

Explanation

Correct Answer

B:

Replace that merge with Append Queries for same-schema row concatenation. Merge joins across keys; append adds vertical records.

Incorrect Answers

A:

Append unions rows and aligns columns by name. It serves “and the analyst wants one longer transaction table”, not “gets many null columns instead of stacked records”.

C:

Power Query aligns appended columns by name and fills missing cells with null. That matters for “different column sets, with one optional SourceChannel column” rather than the condition “gets many null columns instead of stacked records”.

D:

Deduplicate or remodel the customer lookup before expanding the merge. The boundary it addresses is “and a fact merge unexpectedly doubles some rows”, while this case concerns “gets many null columns instead of stacked records”.

Question 121

A clean Staging query feeds multiple fact and dimension transformations and should remain one shared chain. What operation fits?

  1. Create Reference queries from the shared Staging query.
  2. Do not assume Duplicate guarantees shared evaluation or caching.
  3. Recognize that Reference creates a dependency on the base query's result.
  4. Disable Enable Load on the staging query.

Explanation

Correct Answer

A:

Create Reference queries from the shared Staging query. References depend on the original query so updates can flow downstream.

Incorrect Answers

B:

Separate queries may each execute dependent source steps subject to engine optimization. This solves “times and assumes this guarantees one cached evaluation”; the stated issue is “dimension transformations and should remain one shared chain”.

C:

A referenced query consumes the upstream query output at refresh. The deciding difference is “base and sees related downstream output change. Why” versus “dimension transformations and should remain one shared chain”.

D:

Disabling load retains the query for references but excludes its standalone model table. Its application is “and should not create its own model table”, not the need “dimension transformations and should remain one shared chain”.

Question 122

A developer needs an independent copy of query steps to modify without changing the original query dependency. Which operation fits?

  1. Do not assume Duplicate guarantees shared evaluation or caching.
  2. Duplicate the Power Query query to copy its current transformation script.
  3. Create Reference queries from the shared Staging query.
  4. Disable Enable Load on the staging query.

Explanation

Correct Answer

B:

Duplicate the Power Query query to copy its current transformation script. Duplicating creates a separate query definition instead of a reference dependency.

Incorrect Answers

A:

Separate queries may each execute dependent source steps subject to engine optimization. Its application is “times and assumes this guarantees one cached evaluation”, not the need “to modify without changing the original query dependency”.

C:

References depend on the original query so updates can flow downstream. It serves “dimension transformations and should remain one shared chain”, not “to modify without changing the original query dependency”.

D:

Disabling load retains the query for references but excludes its standalone model table. The present requirement is “to modify without changing the original query dependency”; “and should not create its own model table” is a distinct situation.

Question 123

A base query is an intermediate helper and should not create its own model table. What setting fits?

  1. Create Reference queries from the shared Staging query.
  2. Disable Enable Load on the staging query.
  3. Recognize that Reference creates a dependency on the base query's result.
  4. Duplicate the Power Query query to copy its current transformation script.

Explanation

Correct Answer

B:

Disable Enable Load on the staging query. Disabling load retains the query for references but excludes its standalone model table.

Incorrect Answers

A:

References depend on the original query so updates can flow downstream. The present requirement is “and should not create its own model table”; “dimension transformations and should remain one shared chain” is a distinct situation.

C:

A referenced query consumes the upstream query output at refresh. The boundary it addresses is “base and sees related downstream output change. Why”, while this case concerns “and should not create its own model table”.

D:

Duplicating creates a separate query definition instead of a reference dependency. This solves “to modify without changing the original query dependency”; the stated issue is “and should not create its own model table”.

Question 124

An analyst references a base query, then modifies the base and sees related downstream output change. Why?

  1. Duplicate the Power Query query to copy its current transformation script.
  2. Recognize that Reference creates a dependency on the base query's result.
  3. Disable Enable Load on the staging query.
  4. Create Reference queries from the shared Staging query.

Explanation

Correct Answer

B:

Recognize that Reference creates a dependency on the base query's result. A referenced query consumes the upstream query output at refresh.

Incorrect Answers

A:

Duplicating creates a separate query definition instead of a reference dependency. This solves “to modify without changing the original query dependency”; the stated issue is “base and sees related downstream output change. Why”.

C:

Disabling load retains the query for references but excludes its standalone model table. Its application is “and should not create its own model table”, not the need “base and sees related downstream output change. Why”.

D:

References depend on the original query so updates can flow downstream. That is a different operating condition from “base and sees related downstream output change. Why”: “dimension transformations and should remain one shared chain”.

Question 125

A developer duplicates an expensive source query many times and assumes this guarantees one cached evaluation. What is the safe clarification?

  1. Do not assume Duplicate guarantees shared evaluation or caching.
  2. Disable Enable Load on the staging query.
  3. Create Reference queries from the shared Staging query.
  4. Recognize that Reference creates a dependency on the base query's result.

Explanation

Correct Answer

A:

Do not assume Duplicate guarantees shared evaluation or caching. Separate queries may each execute dependent source steps subject to engine optimization.

Incorrect Answers

B:

Disabling load retains the query for references but excludes its standalone model table. It serves “and should not create its own model table”, not “times and assumes this guarantees one cached evaluation”.

C:

References depend on the original query so updates can flow downstream. The present requirement is “times and assumes this guarantees one cached evaluation”; “dimension transformations and should remain one shared chain” is a distinct situation.

D:

A referenced query consumes the upstream query output at refresh. That matters for “base and sees related downstream output change. Why” rather than the condition “times and assumes this guarantees one cached evaluation”.

Question 126

An ID has format 'Region-Store-Item', and the model needs each component separately. What Power Query feature fits?

  1. Merge text columns with an explicit separator and null handling.
  2. Extract text before the comma delimiter.
  3. Split the ID column by its hyphen delimiter into separate fields.
  4. Extract the portion after the defined prefix delimiter before type conversion.

Explanation

Correct Answer

C:

Split the ID column by its hyphen delimiter into separate fields. Delimiter splitting turns one structured text value into multiple columns.

Incorrect Answers

A:

Combining columns constructs a display label from selected fields. That matters for “City and State into a standardized Location label” rather than the condition “'Region-Store-Item', and the model needs each component separately”.

B:

Text Before Delimiter can retain just the surname segment. The boundary it addresses is “'Last, First', and the report needs LastName only”, while this case concerns “'Region-Store-Item', and the model needs each component separately”.

D:

Extract the portion after the defined prefix delimiter before type conversion. The deciding difference is “the desired field is just the numeric suffix” versus “'Region-Store-Item', and the model needs each component separately”.

Question 127

A field contains 'Last, First', and the report needs LastName only. Which transform fits?

  1. Extract text before the comma delimiter.
  2. Extract the portion after the defined prefix delimiter before type conversion.
  3. Extract the rightmost four characters from the text value.
  4. Merge text columns with an explicit separator and null handling.

Explanation

Correct Answer

A:

Extract text before the comma delimiter. Text Before Delimiter can retain just the surname segment.

Incorrect Answers

B:

Extract the portion after the defined prefix delimiter before type conversion. Its application is “the desired field is just the numeric suffix”, not the need “'Last, First', and the report needs LastName only”.

C:

Text extraction can select a suffix without assuming fixed prefix length. That is a different operating condition from “'Last, First', and the report needs LastName only”: “the last four characters regardless of prefix length”.

D:

Combining columns constructs a display label from selected fields. It serves “City and State into a standardized Location label”, not “'Last, First', and the report needs LastName only”.

Question 128

Product code needs the last four characters regardless of prefix length. What transform is appropriate?

  1. Merge text columns with an explicit separator and null handling.
  2. Extract text before the comma delimiter.
  3. Extract the portion after the defined prefix delimiter before type conversion.
  4. Extract the rightmost four characters from the text value.

Explanation

Correct Answer

D:

Extract the rightmost four characters from the text value. Text extraction can select a suffix without assuming fixed prefix length.

Incorrect Answers

A:

Combining columns constructs a display label from selected fields. It serves “City and State into a standardized Location label”, not “the last four characters regardless of prefix length”.

B:

Text Before Delimiter can retain just the surname segment. The present requirement is “the last four characters regardless of prefix length”; “'Last, First', and the report needs LastName only” is a distinct situation.

C:

Extract the portion after the defined prefix delimiter before type conversion. That matters for “the desired field is just the numeric suffix” rather than the condition “the last four characters regardless of prefix length”.

Question 129

An analyst needs to combine City and State into a standardized Location label. What operation fits?

  1. Extract text before the comma delimiter.
  2. Merge text columns with an explicit separator and null handling.
  3. Split the ID column by its hyphen delimiter into separate fields.
  4. Extract the portion after the defined prefix delimiter before type conversion.

Explanation

Correct Answer

B:

Merge text columns with an explicit separator and null handling. Combining columns constructs a display label from selected fields.

Incorrect Answers

A:

Text Before Delimiter can retain just the surname segment. The boundary it addresses is “'Last, First', and the report needs LastName only”, while this case concerns “City and State into a standardized Location label”.

C:

Delimiter splitting turns one structured text value into multiple columns. The deciding difference is “'Region-Store-Item', and the model needs each component separately” versus “City and State into a standardized Location label”.

D:

Extract the portion after the defined prefix delimiter before type conversion. Its application is “the desired field is just the numeric suffix”, not the need “City and State into a standardized Location label”.

Question 130

A SKU contains a variable-length prefix and digits, and the desired field is just the numeric suffix. What helps?

  1. Extract the portion after the defined prefix delimiter before type conversion.
  2. Extract text before the comma delimiter.
  3. Extract the rightmost four characters from the text value.
  4. Split the ID column by its hyphen delimiter into separate fields.

Explanation

Correct Answer

A:

Extract the portion after the defined prefix delimiter before type conversion. Pattern-based extraction is safer than fixed-position guessing.

Incorrect Answers

B:

Text Before Delimiter can retain just the surname segment. That is a different operating condition from “the desired field is just the numeric suffix”: “'Last, First', and the report needs LastName only”.

C:

Text extraction can select a suffix without assuming fixed prefix length. It serves “the last four characters regardless of prefix length”, not “the desired field is just the numeric suffix”.

D:

Delimiter splitting turns one structured text value into multiple columns. The present requirement is “the desired field is just the numeric suffix”; “'Region-Store-Item', and the model needs each component separately” is a distinct situation.