The answer is that the `QuoteStyle.None` option will cause commas inside quoted fields to be treated as delimiters. This is because `QuoteStyle.None` instructs Power Query to ignore standard CSV quoting rules, so a value like "Smith, John" is split into two separate columns at the comma, breaking the row structure and misaligning subsequent data. On the PL-300 exam, this tests your understanding of how Power Query’s M code handles CSV import settings, often appearing in a scenario where a file with quoted fields imports incorrectly. A common trap is assuming that all CSV imports automatically respect quotes, but without explicitly setting `QuoteStyle.Csv`, Power Query defaults to `QuoteStyle.None` in certain code patterns. To remember: think “None means no protection” — without quote style, commas cut through quotes like a knife through butter.
PL-300 Prepare the data Practice Question
This PL-300 practice question tests your understanding of prepare the data. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
Exhibit
Refer to the exhibit.
```
let
Source = Csv.Document(File.Contents("C:\data\sales.csv"),[Delimiter=",", Columns=5, Encoding=1252, QuoteStyle=QuoteStyle.None]),
#"Promoted Headers" = Table.PromoteHeaders(Source, [PromoteAllScalars=true]),
#"Changed Type" = Table.TransformColumnTypes(#"Promoted Headers",{{"OrderDate", type datetime}, {"Amount", type number}})
in
#"Changed Type"
```
You are debugging a Power Query that imports a CSV file. The exhibit shows the M code. The CSV file contains a header row and data. Some rows have a comma inside a quoted field (e.g., "Smith, John"). What issue will arise from this code?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
The QuoteStyle.None option will cause commas inside quotes to be treated as delimiters.
Option B is correct because the M code uses `QuoteStyle.None`, which tells Power Query to treat commas inside quoted fields as column delimiters rather than as part of the field value. This causes rows with values like "Smith, John" to be split incorrectly, resulting in extra columns and misaligned data. The correct option for CSV files with quoted fields is `QuoteStyle.Csv`, which respects the standard CSV quoting rules.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
✗
The encoding 1252 is incorrect for the file.
Why it's wrong here
1252 is a common encoding for Western languages; it is likely fine.
✓
The QuoteStyle.None option will cause commas inside quotes to be treated as delimiters.
Why this is correct
QuoteStyle.None ignores quoting, so commas inside quotes break columns.
Related concept
Read the scenario before looking for a memorised answer.
✗
The number of columns specified (5) is too many.
Why it's wrong here
The actual number of columns might be different, but specifying 5 may cause errors.
✗
The Promoted Headers step will fail because the first row contains quotes.
Why it's wrong here
Promoted Headers works on the first row regardless of quotes.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may assume the issue is with encoding or column count, but the core problem is the misuse of `QuoteStyle.None` instead of `QuoteStyle.Csv`, which directly causes quoted commas to be misinterpreted as delimiters.
Detailed technical explanation
How to think about this question
In Power Query, `QuoteStyle.None` disables quote handling, so the CSV parser treats every comma as a delimiter regardless of surrounding quotes. The standard CSV RFC 4180 requires that commas inside double-quoted fields be ignored as delimiters, which is achieved by `QuoteStyle.Csv`. A real-world scenario is importing employee data where names like "Smith, John" appear; without proper quote handling, the name splits into two columns, corrupting the dataset.
KKey Concepts to Remember
Read the scenario before looking for a memorised answer.
Find the constraint that changes the correct option.
Eliminate answers that are true in general but not in this case.
TExam Day Tips
→Watch for words such as best, first, most likely and least administrative effort.
→Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Prepare the data — This question tests Prepare the data — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: The QuoteStyle.None option will cause commas inside quotes to be treated as delimiters. — Option B is correct because the M code uses `QuoteStyle.None`, which tells Power Query to treat commas inside quoted fields as column delimiters rather than as part of the field value. This causes rows with values like "Smith, John" to be split incorrectly, resulting in extra columns and misaligned data. The correct option for CSV files with quoted fields is `QuoteStyle.Csv`, which respects the standard CSV quoting rules.
What should I do if I get this PL-300 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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