The correct answer is to import both tables into Power BI, create a relationship between Enrollment[Program] and Programs[ProgramCode], and use a star schema design. This approach is essential because a star schema separates fact tables (enrollment records) from dimension tables (program details), enabling efficient filtering and aggregation across one million rows without data duplication. On the Microsoft Power BI Data Analyst PL-300 exam, this question tests your understanding of data modeling fundamentals—specifically, how to design a data model for student enrollment analysis that supports cross-filtering by faculty and program while maintaining query performance. A common trap is choosing DirectQuery, but CSV files do not support it, or merging tables, which flattens the model and loses granularity. Remember the memory tip: “Star schema for slicing, flat tables for suffering”—always keep dimensions separate to let filters flow cleanly through relationships.
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 are a data analyst for a university. You need to build a Power BI report to analyze student enrollment by program and year. Data sources: a CSV file with student enrollment records (StudentID, Program, EnrollmentYear, Status) and an Excel file with program details (ProgramCode, ProgramName, Faculty). The CSV file contains 1 million rows. The report must allow users to filter by faculty and program, and see a bar chart of enrollment counts by year. You need to design the data model. What should you do?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Import both tables into Power BI, create a relationship between Enrollment[Program] and Programs[ProgramCode], use Star schema design.
Option A is correct: Import both tables, create relationships, and use a star schema. Option B is wrong because DirectQuery on a CSV is not supported. Option C is wrong because having no relationships prevents filtering. Option D is wrong because merging loses granularity and may cause duplication.
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.
✗
Import the CSV file only and use DirectQuery for the Excel file to save memory.
Why it's wrong here
DirectQuery is not supported for Excel files in Power BI.
✗
Import both tables but do not create relationships; use visual-level filters to synchronize selections.
Why it's wrong here
Without relationships, cross-filtering between tables will not work.
✗
Merge the two tables in Power Query into a single table to simplify the model.
Why it's wrong here
Merging duplicates data and loses the benefits of normalization.
✓
Import both tables into Power BI, create a relationship between Enrollment[Program] and Programs[ProgramCode], use Star schema design.
Why this is correct
Best practice for modeling; allows filtering by program attributes.
Related concept
Read the scenario before looking for a memorised answer.
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.
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: Import both tables into Power BI, create a relationship between Enrollment[Program] and Programs[ProgramCode], use Star schema design. — Option A is correct: Import both tables, create relationships, and use a star schema. Option B is wrong because DirectQuery on a CSV is not supported. Option C is wrong because having no relationships prevents filtering. Option D is wrong because merging loses granularity and may cause duplication.
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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Question Discussion
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