Question 617 of 966
Model the datahardMultiple ChoiceObjective-mapped

Quick Answer

The correct answer is that the CALCULATE function combined with ALL returns the total number of sales rows regardless of product category. This works because ALL removes the filter context from the Product table, allowing COUNTROWS('Sales') to count every row in the Sales table without any category-level filtering. On the Microsoft Power BI Data Analyst PL-300 exam, this pattern tests your understanding of how CALCULATE modifies filter context—a core concept for DAX queries. A common trap is confusing ALL with ALLSELECTED or thinking it counts distinct products; instead, remember that ALL simply ignores existing filters on the specified table or column. The result is a grand total that can be used for ratio calculations, such as comparing category sales to overall sales. For a memory tip, think of ALL as a “reset button” for filters: it clears the current filter context so you can calculate the total ignoring any slicers or row-level constraints.

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.
```
EVALUATE
SUMMARIZECOLUMNS(
    'Product'[Category],
    'Date'[Year],
    "Total Sales", SUMX('Sales', 'Sales'[Quantity] * 'Sales'[UnitPrice]),
    "Filter Context", CALCULATE(COUNTROWS('Sales'), ALL('Product'))
)
```

You are analyzing a DAX query. What is the purpose of the 'Filter Context' column in the result?

Question 1hardmultiple choice
Full question →

Exhibit

Refer to the exhibit.
```
EVALUATE
SUMMARIZECOLUMNS(
    'Product'[Category],
    'Date'[Year],
    "Total Sales", SUMX('Sales', 'Sales'[Quantity] * 'Sales'[UnitPrice]),
    "Filter Context", CALCULATE(COUNTROWS('Sales'), ALL('Product'))
)
```

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

It returns the total number of sales rows regardless of product category.

Option D is correct. CALCULATE(COUNTROWS('Sales'), ALL('Product')) counts all sales rows ignoring any filter on the Product table. This is useful to compare category-level sales against total sales. Option A is wrong because it does not count distinct products. Option B is wrong because it does not filter by current year. Option C is wrong because it counts sales rows, not product rows.

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.

  • It returns the total sales for the current year, ignoring category.

    Why it's wrong here

    ALL('Product') removes product filters, not date filters.

  • It returns the total number of sales rows regardless of product category.

    Why this is correct

    ALL('Product') removes product filter, so count is overall.

    Related concept

    Read the scenario before looking for a memorised answer.

  • It returns the number of product categories in the current context.

    Why it's wrong here

    Not counting categories.

  • It counts the number of distinct products in the current filter context.

    Why it's wrong here

    COUNTROWS counts sales rows.

Common exam traps

Common exam trap: answer the scenario, not the keyword

Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.

Detailed technical explanation

How to think about this question

This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.

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.
  • Use explanations to understand the rule behind the answer.

TExam Day Tips

  • Underline the problem statement mentally.
  • 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 PL-300 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.

Related practice questions

Related PL-300 practice-question pages

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FAQ

Questions learners often ask

What does this PL-300 question test?

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: It returns the total number of sales rows regardless of product category. — Option D is correct. CALCULATE(COUNTROWS('Sales'), ALL('Product')) counts all sales rows ignoring any filter on the Product table. This is useful to compare category-level sales against total sales. Option A is wrong because it does not count distinct products. Option B is wrong because it does not filter by current year. Option C is wrong because it counts sales rows, not product rows.

What should I do if I get this PL-300 question wrong?

Identify which PL-300 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Same concept, more angles

1 more ways this is tested on PL-300

These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.

Variation 1. You are analyzing a DAX query as shown in the exhibit. You need to determine the result set. The model contains tables: Date, Product, and Sales with relationships. Which statement accurately describes the output?

hard
  • A.The query returns total sales per year and category for Amount > 100
  • B.The query returns total sales for each year, ignoring category
  • C.The query returns sales amounts only for products with Amount > 100
  • D.The query returns total sales for each category, ignoring year

Why A: Option A is correct because the DAX query uses SUMMARIZE to group sales by 'Year' from the Date table and 'Category' from the Product table, then filters the Sales table to include only rows where Amount > 100. The result is a table of total sales (sum of Amount) for each combination of year and category that meets the filter condition.

Last reviewed: Jun 21, 2026

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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.