The answer is to use the Split Column by Delimiter feature, as it directly extracts the Year, Month, and Day from a date string like '2026-01-15' in a single step. This works because Power Query recognizes the hyphen as a standard delimiter in the YYYY-MM-DD format, allowing you to split the text column into three separate components without needing multiple extractions or formulas. On the Microsoft Power BI Data Analyst PL-300 exam, this question tests your ability to transform text-based date columns efficiently, a common real-world scenario when importing data from flat files. A common trap is overcomplicating the solution by using the Extract feature for each part individually, which is slower and less elegant. The key insight is that splitting by delimiter handles all three parts at once, while the Extract feature is better for non-delimited strings. Memory tip: think "Split the dash, get the stash"—one split action gives you the year, month, and day components instantly.
PL-300 Prepare the data Practice Question
This PL-300 practice question tests your understanding of prepare the data. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. 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.
You are transforming a table that contains a 'Date' column in text format (e.g., '2026-01-15'). You need to create separate columns for Year, Month, and Day. Which THREE Power Query transformations can you use? (Choose three.)
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Split Column by Delimiter using '-' as the delimiter.
Option B is correct because splitting the 'Date' column by the '-' delimiter in Power Query separates the text into individual components (Year, Month, Day) in one step. This is a direct transformation for extracting parts from a date string in a standard format like 'YYYY-MM-DD'.
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.
✗
Unpivot the Date column.
Why it's wrong here
Unpivot is used to normalize data, not to extract parts of a single column.
✓
Split Column by Delimiter using '-' as the delimiter.
Why this is correct
This will split the date into three columns: Year, Month, Day.
Related concept
Read the scenario before looking for a memorised answer.
✓
Use the Date.Year, Date.Month, Date.Day functions in a custom column.
Why this is correct
After converting the text to date, these functions extract the components.
Related concept
Read the scenario before looking for a memorised answer.
✗
Merge the Date column with itself.
Why it's wrong here
Merge combines columns; it does not split.
✓
Use the Extract feature to extract first 4 characters for Year, then subsequent characters.
Why this is correct
You can extract substrings by position to get Year, Month, Day.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Microsoft often tests the distinction between splitting a column by delimiter versus using date functions, where candidates may incorrectly choose Unpivot (Option A) thinking it 'unpacks' data, but it actually normalizes columns into rows.
Detailed technical explanation
How to think about this question
Power Query's Split Column by Delimiter uses the M function `Table.SplitColumn` internally, which parses the text based on the specified delimiter and splits into multiple columns. The Extract feature (Option E) leverages `Text.Start` and `Text.Range` to grab substrings by position, which is reliable for fixed-format dates like '2026-01-15' where Year is always the first 4 characters. Using Date.Year, Date.Month, Date.Day functions (Option C) requires converting the text to a date type first (e.g., via `Date.From`), then extracting components, which is robust for various date formats but adds an extra conversion step.
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: Split Column by Delimiter using '-' as the delimiter. — Option B is correct because splitting the 'Date' column by the '-' delimiter in Power Query separates the text into individual components (Year, Month, Day) in one step. This is a direct transformation for extracting parts from a date string in a standard format like 'YYYY-MM-DD'.
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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Question Discussion
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