Question 734 of 966
Model the dataeasyMultiple ChoiceObjective-mapped

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.

A company has a Power BI semantic model that uses DirectQuery to a SQL Server database. The model contains a large fact table with sales data. Users report that reports using this model are slow. Which design change would most improve query performance?

Question 1easymultiple choice
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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

Remove unnecessary columns from the fact table.

Option C is correct because removing unnecessary columns from the fact table reduces the amount of data that must be transferred from SQL Server to Power BI for each query. In DirectQuery mode, every report interaction sends a query to the source database, so fewer columns mean smaller result sets and faster query execution. This directly addresses the performance bottleneck caused by a large fact table without changing the underlying storage mode.

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.

  • Remove all relationships between tables.

    Why it's wrong here

    Removing relationships breaks the model and prevents cross-filtering.

  • Switch the model to Import mode.

    Why it's wrong here

    Import mode may not be feasible if data volume is too large.

  • Remove unnecessary columns from the fact table.

    Why this is correct

    Reducing columns minimizes data retrieved from source, improving query performance.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Disable the 'Reduce queries' option in report settings.

    Why it's wrong here

    Disabling query reduction would likely degrade performance further.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates often assume switching to Import mode is always the best performance fix, but the question specifically asks for a design change that improves query performance in DirectQuery mode, where reducing column count is a more targeted and less disruptive solution.

Detailed technical explanation

How to think about this question

In DirectQuery mode, Power BI translates report visuals into SQL queries sent to the source database. Each query includes a SELECT clause that lists all columns referenced in the model, even if they are not used in the visual. Removing unnecessary columns from the fact table reduces the width of the result set, lowering network I/O and query execution time at the database level. This is especially impactful when the fact table contains many columns with large data types (e.g., NVARCHAR(MAX)) that are not needed for analysis.

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 media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.

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.

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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: Remove unnecessary columns from the fact table. — Option C is correct because removing unnecessary columns from the fact table reduces the amount of data that must be transferred from SQL Server to Power BI for each query. In DirectQuery mode, every report interaction sends a query to the source database, so fewer columns mean smaller result sets and faster query execution. This directly addresses the performance bottleneck caused by a large fact table without changing the underlying storage mode.

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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Last reviewed: Jun 11, 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.