The answer is that you can remove duplicate rows from a table and merge tables using Power BI Desktop’s Query Editor. These two actions are core data transformation capabilities within Power Query, where removing duplicates ensures data integrity by eliminating redundant records, and merging tables allows you to join two datasets based on matching values in a common column, similar to a SQL join. On the PL-300 exam, this question tests your understanding of practical data preparation tasks, often appearing as a straightforward multiple-choice item where distractors might include actions like creating measures or building visuals, which belong to the model or report views. A common trap is confusing the Query Editor’s merge feature with the model view’s relationship creation—remember that merges physically combine tables into one, while relationships link them logically. Memory tip: think of the Query Editor as your “clean and combine” workshop—remove duplicates for cleanliness, merge tables for unity.
PL-300 Visualize and analyze the data Practice Question
This PL-300 practice question tests your understanding of visualize and analyze 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.
Which TWO actions can you perform using Power BI Desktop's Query Editor? (Choose two.)
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Merge two tables based on a common column.
Option B is correct because the Power BI Query Editor (Power Query) includes a 'Merge Queries' feature that allows you to join two tables based on matching values in a common column. This is a fundamental data transformation operation used to combine data from different sources or tables before loading into the data model.
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.
✗
Define row-level security (RLS) roles.
Why it's wrong here
RLS roles are defined in the modeling view, not Query Editor.
✓
Merge two tables based on a common column.
Why this is correct
Query Editor can merge tables (like SQL joins).
Related concept
Read the scenario before looking for a memorised answer.
Read the scenario before looking for a memorised answer.
✗
Create a new measure using DAX.
Why it's wrong here
Measures are created in the report view using the Fields pane.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse the Query Editor's data transformation capabilities with data modeling tasks (like creating relationships or measures) or security configurations, leading them to select options that belong to other Power BI Desktop views.
Detailed technical explanation
How to think about this question
The Query Editor uses Power Query M formulas to perform operations like merging tables, which can be done using left outer, inner, full outer, or anti joins. When merging, the editor allows you to expand the resulting column to bring in specific fields, effectively performing a SQL-like JOIN operation. This is particularly useful when combining data from disparate sources like SQL Server and Excel without needing to pre-join them in the source system.
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 company's IT admin needs to give a contractor read-only access to production logs without sharing account credentials. Using role-based access control (RBAC) and temporary scoped permissions — not a permanent shared password — is the correct pattern. Questions like this test whether you can apply least-privilege access across cloud identity services.
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.
Visualize and analyze the data — This question tests Visualize and analyze the data — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Merge two tables based on a common column. — Option B is correct because the Power BI Query Editor (Power Query) includes a 'Merge Queries' feature that allows you to join two tables based on matching values in a common column. This is a fundamental data transformation operation used to combine data from different sources or tables before loading into the data model.
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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