This PL-900 practice question tests your understanding of demonstrate capabilities of power bi. 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.
A data analyst needs to combine data from two Excel tables that have a common column 'ProductID'. Which Power BI tool should they use?
Append Queries
Why wrong: Append adds rows from one table to another, not columns.
Merge Queries
Merge Queries joins tables based on a common column, similar to SQL JOIN.
Pivot Column
Why wrong: Pivot Column pivots data, not combine tables.
Group By
Why wrong: Group By aggregates data, not combine tables.
Answer choices
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 is the correct tool because it combines two tables by matching rows based on a common column (ProductID), similar to a SQL JOIN. This allows the analyst to bring in additional columns from one table into the other, which is exactly what is needed when data from two Excel tables must be integrated on a shared key.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Append Queries
Why it's wrong here
Append adds rows from one table to another, not columns.
Merge Queries
Why this is correct
Merge Queries joins tables based on a common column, similar to SQL JOIN.
Related concept
Read the scenario before looking for a memorised answer.
Pivot Column
Why it's wrong here
Pivot Column pivots data, not combine tables.
Group By
Why it's wrong here
Group By aggregates data, not combine tables.
Common exam traps
The trap here is that candidates confuse Append (stacking rows) with Merge (joining columns), often choosing Append because they think 'combining' always means adding rows, not realizing the requirement is to align data horizontally on a shared key.
Detailed technical explanation
Under the hood, Merge Queries in Power Query performs a hash-based join on the selected columns, supporting multiple join kinds (left outer, inner, full outer, etc.). A subtle behavior is that if the common column has duplicate values in either table, the merge will produce a Cartesian product for those matching groups, which can unexpectedly multiply rows. In a real-world scenario, a data analyst merging Sales and Product tables on ProductID must ensure ProductID is unique in the lookup table to avoid row duplication.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
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
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FAQ
Demonstrate capabilities of Power BI — This question tests Demonstrate capabilities of Power BI — Read the scenario before looking for a memorised answer..
The correct answer is: Merge Queries — Merge Queries is the correct tool because it combines two tables by matching rows based on a common column (ProductID), similar to a SQL JOIN. This allows the analyst to bring in additional columns from one table into the other, which is exactly what is needed when data from two Excel tables must be integrated on a shared key.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 11, 2026
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