The answer is to use Split Column by Delimiter and choose Comma with the option to split at each occurrence. This is correct because Power Query’s M engine inherently respects RFC 4180 CSV quoting rules, meaning commas enclosed within double quotes are treated as literal characters rather than delimiters, so splitting at each occurrence cleanly separates fields without breaking quoted text. On the Microsoft Power BI Data Analyst PL-300 exam, this scenario tests your understanding of how Power Query handles CSV import quoted commas, often appearing as a distractor where candidates mistakenly try to replace commas or use text qualifiers manually. A common trap is assuming you must pre-clean the file, but Power Query’s built-in delimiter splitting already accounts for quoted commas automatically. Memory tip: think “quotes protect commas” — when you split by delimiter, Power Query sees the quotes as armor, so the comma inside stays safe.
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.
When importing data from a CSV file, Power Query detects that the first row contains column headers. However, the actual data starts from row 2. The analyst notices that some rows have extra columns due to commas within quoted fields. What is the most efficient way to handle this issue?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "first"
Why it matters: Order matters here. You are being tested on which action comes before the others — not which action is generally useful.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Use 'Split Column by Delimiter' and choose 'Comma' with the option to split at each occurrence.
Option C is correct because the 'Split Column by Delimiter' feature in Power Query, when configured to split at each occurrence of the comma delimiter, correctly handles commas that appear inside quoted fields. Power Query's M engine respects the standard CSV quoting rules (RFC 4180), so quoted commas are not treated as delimiters. This approach is the most efficient as it requires no manual cleanup and preserves data integrity.
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.
✗
Remove the top row and then split columns manually.
Why it's wrong here
Removing top rows doesn't fix extra columns.
✗
Change the file encoding from UTF-8 to ANSI.
Why it's wrong here
Encoding change does not affect delimiter parsing.
✓
Use 'Split Column by Delimiter' and choose 'Comma' with the option to split at each occurrence.
Why this is correct
This correctly handles quoted commas.
Clue confirmation
The clue word "first" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
Use 'Replace Values' to replace commas with semicolons.
Why it's wrong here
Replacing commas may break data within quotes.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may think manual splitting or replacing commas is simpler, but they overlook that Power Query's built-in split function natively respects CSV quoting rules, making it the most efficient and accurate solution.
Detailed technical explanation
How to think about this question
Under the hood, Power Query's 'Split Column by Delimiter' uses the M function `Table.SplitColumn` with the `QuoteStyle.Csv` option, which adheres to RFC 4180. This means that commas enclosed in double quotes are ignored as delimiters. In real-world scenarios, CSV files exported from systems like Salesforce or Excel often contain quoted fields with embedded commas (e.g., addresses like "123 Main St, Apt 4"), and this method ensures those fields remain intact while correctly splitting unquoted commas.
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: Use 'Split Column by Delimiter' and choose 'Comma' with the option to split at each occurrence. — Option C is correct because the 'Split Column by Delimiter' feature in Power Query, when configured to split at each occurrence of the comma delimiter, correctly handles commas that appear inside quoted fields. Power Query's M engine respects the standard CSV quoting rules (RFC 4180), so quoted commas are not treated as delimiters. This approach is the most efficient as it requires no manual cleanup and preserves data integrity.
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.
Are there clue words in this question I should notice?
Yes — watch for: "first". Order matters here. You are being tested on which action comes before the others — not which action is generally useful.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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