The answer is that the final step filters rows where the Amount column value is greater than 100. This is correct because the Power Query M code uses `Table.SelectRows` with the predicate `each [Amount] > 100`, which evaluates every row in the table and retains only those where the condition is true, effectively performing a row-level filter based on a numeric threshold. On the Microsoft Power BI Data Analyst PL-300 exam, this tests your understanding of M language functions for data transformation, specifically how `Table.SelectRows` applies a logical condition to filter rows by column values—a common task when cleaning or subsetting datasets. A frequent trap is confusing this with `Table.SelectColumns`, which filters columns instead of rows, or misreading the operator as “less than.” To remember, think of `SelectRows` as “row selection by rule”: the `each` keyword introduces a row-by-row test, and only rows that pass the test survive.
PL-300 Model the data Practice Question
This PL-300 practice question tests your understanding of model 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.
Exhibit
Refer to the exhibit.
M code snippet:
let
Source = Sql.Database("Server", "Database"),
SalesTable = Source{[Schema="dbo",Item="Sales"]}[Data],
#"Filtered Rows" = Table.SelectRows(SalesTable, each [Amount] > 100)
in
#"Filtered Rows"
Refer to the exhibit. You write this Power Query M code to import data. What does the final step do?
Refer to the exhibit.
M code snippet:
let
Source = Sql.Database("Server", "Database"),
SalesTable = Source{[Schema="dbo",Item="Sales"]}[Data],
#"Filtered Rows" = Table.SelectRows(SalesTable, each [Amount] > 100)
in
#"Filtered Rows"
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Filters rows where Amount > 100
The final step in the Power Query M code filters the table to keep only rows where the 'Amount' column value is greater than 100. This is achieved by the `Table.SelectRows` function with the condition `each [Amount] > 100`, which evaluates each row and retains those meeting the predicate. The result is a reduced dataset containing only transactions with an Amount exceeding 100.
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.
✗
Sorts rows by Amount descending
Why it's wrong here
No sorting occurs.
✗
Groups rows by Amount
Why it's wrong here
No grouping function is used.
✗
Removes the Amount column
Why it's wrong here
No column removal.
✓
Filters rows where Amount > 100
Why this is correct
The condition filters rows.
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 may confuse `Table.SelectRows` with sorting or grouping operations, or mistakenly think it removes a column, because the condition references a specific column name.
Detailed technical explanation
How to think about this question
The `Table.SelectRows` function in Power Query M iterates over each row and applies the predicate function (`each [Amount] > 100`), returning only rows where the expression evaluates to `true`. This is a row-level filter operation that does not modify column structure or aggregate data. In real-world scenarios, this pattern is commonly used to exclude outliers or focus on high-value transactions before further transformations like grouping or merging.
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.
Model the data — This question tests Model the data — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Filters rows where Amount > 100 — The final step in the Power Query M code filters the table to keep only rows where the 'Amount' column value is greater than 100. This is achieved by the `Table.SelectRows` function with the condition `each [Amount] > 100`, which evaluates each row and retains those meeting the predicate. The result is a reduced dataset containing only transactions with an Amount exceeding 100.
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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