- A
Group By.
Why wrong: Group By aggregates data, not combines tables.
- B
Append Queries.
Why wrong: Append combines rows, not columns.
- C
Merge Queries.
Merge joins tables on matching columns.
- D
Pivot Column.
Why wrong: Pivot transforms rows to columns.
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 need to combine two tables: Sales and Products, where Sales has a ProductID column and Products has a ProductKey column. The tables have a many-to-one relationship. Which Power Query transformation should you use?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Merge Queries.
Merge Queries (C) is correct because it performs a join between two tables based on matching columns, which is exactly what is needed to combine Sales and Products using ProductID and ProductKey. This transformation supports many-to-one relationships and allows you to expand related columns from the Products table into the Sales table, enabling further data analysis.
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.
- ✗
Group By.
Why it's wrong here
Group By aggregates data, not combines tables.
- ✗
Append Queries.
Why it's wrong here
Append combines rows, not columns.
- ✓
Merge Queries.
Why this is correct
Merge joins tables on matching columns.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Pivot Column.
Why it's wrong here
Pivot transforms rows to columns.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse Merge Queries with Append Queries, mistakenly thinking that combining tables always means stacking rows, rather than joining on a key relationship.
Detailed technical explanation
How to think about this question
Under the hood, Merge Queries in Power Query uses a hash-based join algorithm to match rows from the left table (Sales) with rows from the right table (Products) based on the specified key columns, supporting join kinds like Left Outer, Inner, and Full Outer. In a many-to-one relationship, the left table may have duplicate ProductID values, but each ProductID in the Products table is unique, so the merge will correctly replicate product details for each sale. A real-world scenario is combining a transactional sales table with a product dimension table to enrich sales data with product names, categories, and prices.
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.
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FAQ
Questions learners often ask
What does this PL-300 question test?
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: Merge Queries. — Merge Queries (C) is correct because it performs a join between two tables based on matching columns, which is exactly what is needed to combine Sales and Products using ProductID and ProductKey. This transformation supports many-to-one relationships and allows you to expand related columns from the Products table into the Sales table, enabling further data analysis.
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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Last reviewed: Jun 24, 2026
This PL-300 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the PL-300 exam.
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