- A
Use the ALL function in the measure to ignore filter context.
Why wrong: This would remove all filters, causing the matrix to show the same total in every cell, not desired.
- B
Create an active relationship between the date table and the Sales table on the SaleDate column.
Without an active relationship, the date table filters do not propagate to Sales, causing blanks in the matrix.
- C
Modify the measure to use CALCULATE with USERELATIONSHIP to force the relationship.
Why wrong: This would be necessary only if the relationship exists but is inactive; but the more direct solution is to make it active.
- D
Convert the SaleDate column to a date data type using Power Query.
Why wrong: If the column is already a date, this is unnecessary; the issue is relationship, not data type.
Quick Answer
The answer is to create an active relationship between the date table and the Sales table on the SaleDate column. This is correct because even though a date table is marked as a date table, without an active relationship, the filter context from the date table—such as the Year used in the matrix columns—cannot propagate to the Sales table. The measure Total Sales = SUMX(Sales, Sales[Quantity] * Sales[UnitPrice]) works in a card visual because there is no cross-filtering from a date hierarchy, but in the matrix, the Year filter is isolated, causing blank values. On the PL-300 exam, this tests your understanding of model relationships and filter propagation, a common trap where candidates assume marking a date table is sufficient. Remember: a date table alone is just a calendar; it needs an active relationship to act as a filter bridge. Memory tip: “No active link? Your dates just sink.”
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.
You are a Power BI analyst at a retail company. The company has a Power BI dataset that imports daily sales data from an on-premises SQL Server database. The dataset includes tables: 'Sales' (columns: SaleID, ProductID, SaleDate, Quantity, UnitPrice, CustomerID), 'Products' (ProductID, ProductName, Category), and 'Customers' (CustomerID, CustomerName, Region). The report needs to display a matrix visual showing total sales amount (Quantity * UnitPrice) by Category (rows) and Year (columns). The report currently shows blank values for the matrix. You have verified that relationships exist between the tables and that there is a date table marked as a date table. The measure used is: Total Sales = SUMX(Sales, Sales[Quantity] * Sales[UnitPrice]). When you test the measure in a card visual, it returns a value. However, the matrix shows blanks. What is the most likely cause and solution?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"most likely"Why it matters: Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
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
Create an active relationship between the date table and the Sales table on the SaleDate column.
The matrix visual shows blanks because the date table is not actively related to the Sales table on the SaleDate column. Even though a date table is marked as a date table, without an active relationship, the filter context from the date table (used for Year in columns) does not propagate to the Sales table, causing the measure to return blanks in the matrix. Creating an active relationship between the date table and Sales[SaleDate] allows the Year filter to correctly filter the Sales rows, enabling the SUMX measure to compute total sales per category per year.
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.
- ✗
Use the ALL function in the measure to ignore filter context.
Why it's wrong here
This would remove all filters, causing the matrix to show the same total in every cell, not desired.
- ✓
Create an active relationship between the date table and the Sales table on the SaleDate column.
Why this is correct
Without an active relationship, the date table filters do not propagate to Sales, causing blanks in the matrix.
Clue confirmation
The clue word "most likely" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Modify the measure to use CALCULATE with USERELATIONSHIP to force the relationship.
Why it's wrong here
This would be necessary only if the relationship exists but is inactive; but the more direct solution is to make it active.
- ✗
Convert the SaleDate column to a date data type using Power Query.
Why it's wrong here
If the column is already a date, this is unnecessary; the issue is relationship, not data type.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates assume marking a table as a date table automatically creates relationships with all date columns in the model, but in reality, the relationship must be explicitly created and set as active for filters to flow correctly.
Trap categories for this question
Command / output trap
This would remove all filters, causing the matrix to show the same total in every cell, not desired.
Detailed technical explanation
How to think about this question
In Power BI, a date table marked as a date table automatically creates a hidden relationship with any date column in the model, but only if that relationship is explicitly defined as active. Without an active relationship, filters from the date table do not propagate to the fact table, causing measures that rely on row-level iteration (like SUMX) to evaluate over an empty filtered table. This is a common pitfall when using separate date tables; the relationship must be created manually in the model view to ensure filter propagation.
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
An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.
What to study next
Got this wrong? Here's your next step.
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FAQ
Questions learners often ask
What does this PL-300 question test?
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: Create an active relationship between the date table and the Sales table on the SaleDate column. — The matrix visual shows blanks because the date table is not actively related to the Sales table on the SaleDate column. Even though a date table is marked as a date table, without an active relationship, the filter context from the date table (used for Year in columns) does not propagate to the Sales table, causing the measure to return blanks in the matrix. Creating an active relationship between the date table and Sales[SaleDate] allows the Year filter to correctly filter the Sales rows, enabling the SUMX measure to compute total sales per category per year.
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.
Are there clue words in this question I should notice?
Yes — watch for: "most likely". Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 11, 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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