The answer is a one-to-many relationship from Categories to Products. This is correct because relationship cardinality in Power BI defines how tables filter each other; here, a single category in the Categories table can be linked to many products in the Products table, ensuring that filtering by a category displays all associated products even if they have no sales. On the Microsoft Power BI Data Analyst PL-300 exam, this scenario tests your understanding of star schema design and the default cross-filter direction, where the dimension table (Categories) filters the fact table (Products) without requiring a bidirectional relationship. A common trap is choosing a many-to-one relationship from Products to Categories, which would still work technically but reverses the filter flow and can cause confusion in more complex models. Memory tip: think “one category filters many products” — the “one” side always drives the filter in a standard one-to-many cardinality.
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.
You have a Power BI data model with a table named Products that contains columns ProductID, ProductName, and CategoryID. You also have a table named Categories with CategoryID and CategoryName. You want to ensure that when a user filters by a category, all products in that category are shown, even if the product has no sales. What type of relationship should you create between Products and Categories?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
One-to-many from Categories to Products
Option D is correct because a one-to-many relationship from Categories to Products ensures that each category can be associated with multiple products, and when a user filters by a category, all products in that category are displayed regardless of whether they have sales. This is the standard star schema design where the dimension table (Categories) filters the fact table (Products) via a one-to-many relationship, preserving referential integrity and showing all products in the filtered category.
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.
✗
Many-to-many
Why it's wrong here
Many-to-many would imply a product can have multiple categories, which is not the case.
✗
Many-to-one from Products to Categories
Why it's wrong here
This would filter categories by products, not products by categories; also, it may cause incorrect filter propagation.
✗
One-to-one
Why it's wrong here
One product belongs to one category, but one category has many products, so this is incorrect.
✓
One-to-many from Categories to Products
Why this is correct
This ensures that filtering on Categories brings all related products, including those with no sales.
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 often confuse the direction of the relationship (many-to-one vs. one-to-many) and incorrectly think that filtering works the same in both directions, but Power BI's default cross-filter direction is single, so only a one-to-many from the dimension to the fact ensures all products in a category are shown.
Detailed technical explanation
How to think about this question
In Power BI, a one-to-many relationship from the dimension table (Categories) to the fact table (Products) is the foundation of a star schema, enabling natural filtering from the dimension to the fact. Under the hood, Power BI uses this relationship to propagate filters unidirectionally by default, ensuring that all rows in the many side (Products) that match the filtered category are returned, even if they have no corresponding sales in other tables. A real-world scenario is a product inventory report where you need to list all products in a category, including those with zero sales, to identify slow-moving items.
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.
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: One-to-many from Categories to Products — Option D is correct because a one-to-many relationship from Categories to Products ensures that each category can be associated with multiple products, and when a user filters by a category, all products in that category are displayed regardless of whether they have sales. This is the standard star schema design where the dimension table (Categories) filters the fact table (Products) via a one-to-many relationship, preserving referential integrity and showing all products in the filtered category.
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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