The correct actions are to promote the first row to headers and remove blank rows. This is because Excel files with merged cells or inconsistent structures often load into Power Query with the first row appearing as data rather than column names, and merged cells typically introduce extraneous blank rows that disrupt analysis. Promoting headers ensures your column names are properly recognized, while removing blank rows eliminates the empty records created by those merged cells, giving you a clean, structured dataset. On the PL-300 exam, this scenario tests your ability to handle real-world data ingestion challenges, where candidates often mistakenly try to transpose data or filter rows instead of using these two straightforward steps. A common trap is forgetting that blank rows from merged cells are not true null values but structural artifacts. Memory tip: think “Head and Shoulders” — promote the head (headers) first, then shake off the blank rows.
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 preparing data from multiple Excel files. Each file has a different structure; some have merged cells, empty rows, and inconsistent column names. Which TWO actions should you take to clean the data in Power Query? (Choose two.)
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Remove blank rows that result from merged cells.
Option A is correct because merged cells in Excel often introduce blank rows when the data is loaded into Power Query. Using 'Remove Blank Rows' in Power Query eliminates these extraneous rows that do not contain meaningful data, ensuring the dataset is clean and ready for transformation.
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 blank rows that result from merged cells.
Why this is correct
Merged cells often create blank rows; removing them cleans the data.
Related concept
Read the scenario before looking for a memorised answer.
✗
Group rows by a key column to summarize data.
Why it's wrong here
Grouping aggregates data; not a cleaning step for blank rows or headers.
✗
Merge columns to create a single identifier.
Why it's wrong here
Merging columns is transformation, not cleaning.
✗
Unpivot columns to normalize the data.
Why it's wrong here
Unpivot is useful for restructuring, but not a direct cleaning step for the issues described.
✓
Promote the first row to headers.
Why this is correct
If column names are in the first row, promoting them fixes header issues.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse data-cleaning actions (like removing blank rows and promoting headers) with data-transformation actions (like grouping, merging, or unpivoting), leading them to select options that reshape data rather than fix structural inconsistencies.
Detailed technical explanation
How to think about this question
In Power Query, merged cells in Excel are interpreted as null values in the rows that were part of the merge, often creating entire blank rows. The 'Remove Blank Rows' operation filters out rows where all columns are null, which is distinct from 'Remove Empty' (which removes rows with any null). Additionally, 'Promote First Row to Headers' (Option E) is essential when the first row of each file contains column names, but if column names are inconsistent across files, you may need to use 'Use First Row as Headers' after standardizing names via a custom step or by appending files with a transformation.
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: Remove blank rows that result from merged cells. — Option A is correct because merged cells in Excel often introduce blank rows when the data is loaded into Power Query. Using 'Remove Blank Rows' in Power Query eliminates these extraneous rows that do not contain meaningful data, ensuring the dataset is clean and ready for transformation.
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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