Question 451 of 966
Model the dataeasyMultiple SelectObjective-mapped

Quick Answer

The correct answers are that a star schema reduces model size by storing dimension attributes in separate tables and simplifies the model to improve query performance. This design works by normalizing descriptive data into dimension tables linked to a central fact table via foreign keys, which eliminates redundant data storage and minimizes the number of joins needed for queries. On the PL-300 exam, this concept tests your understanding of data modeling best practices for Power BI, often appearing in scenario-based questions where you must choose between star schema and flat tables. A common trap is assuming star schema reduces the total number of tables—it actually increases them, but the trade-off is a smaller, faster model. Another pitfall is confusing star schema with many-to-many relationships, which it avoids in favor of clear one-to-many paths. Memory tip: think of a star as “separate and simple”—dimensions are separate tables that keep your model simple and lean.

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.

Which TWO are valid reasons to use a star schema design in Power BI? (Select exactly 2.)

Question 1easymulti select
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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

It improves query performance by reducing the number of joins needed

Options B and D are correct. Option B: Star schema simplifies the model and improves query performance because of fewer joins and a clear structure. Option D: Star schema reduces model size by normalizing dimensions and avoiding duplication. Option A is wrong because star schema does not inherently reduce the number of tables; it typically increases them compared to a flat table. Option C is wrong because star schema supports many-to-one relationships, not many-to-many directly. Option E is wrong because star schema is not specifically required for time intelligence; a date table is needed, but star schema is broader.

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 improves query performance by reducing the number of joins needed

    Why this is correct

    Star schema optimizes join paths and filter propagation.

    Related concept

    Read the scenario before looking for a memorised answer.

  • It allows many-to-many relationships between dimensions

    Why it's wrong here

    Star schema typically uses many-to-one relationships; many-to-many is handled with bridge tables.

  • It is required to use time intelligence functions

    Why it's wrong here

    Time intelligence requires a date table, but not necessarily a full star schema.

  • It reduces model size by storing dimension attributes in separate tables

    Why this is correct

    Normalized dimensions reduce data duplication and overall model size.

    Related concept

    Read the scenario before looking for a memorised answer.

  • It reduces the number of tables in the model

    Why it's wrong here

    Star schema often increases the number of tables by splitting dimensions.

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

Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.

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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 improves query performance by reducing the number of joins needed — Options B and D are correct. Option B: Star schema simplifies the model and improves query performance because of fewer joins and a clear structure. Option D: Star schema reduces model size by normalizing dimensions and avoiding duplication. Option A is wrong because star schema does not inherently reduce the number of tables; it typically increases them compared to a flat table. Option C is wrong because star schema supports many-to-one relationships, not many-to-many directly. Option E is wrong because star schema is not specifically required for time intelligence; a date table is needed, but star schema is broader.

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.

About these practice questions

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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. A Power BI developer is designing a semantic model that will be used by multiple departments. The developer wants to ensure that the model follows best practices for performance and usability. Which TWO actions should the developer take?

medium
  • A.Use a star schema with dimension and fact tables.
  • B.Hide foreign key columns from report view.
  • C.Use calculated columns instead of measures for aggregations.
  • D.Combine all data into a single flat table to simplify the model.
  • E.Enable bidirectional cross-filtering between all tables.

Why A: A star schema organizes data into dimension and fact tables, reducing data redundancy and improving query performance by enabling efficient aggregations and filter propagation. This design aligns with Power BI best practices for semantic models, as it minimizes the number of tables and relationships, leading to faster DAX calculations and better compression.

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.