PL-300 Manage and secure Power BI Practice Question
You have a Power BI dataset that uses a DirectQuery connection to Azure Synapse Analytics. Users report that the report is slow. You need to improve query performance without changing the data source. What should you do?
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
✓
Reduce the number of visuals on each report page.
Reducing the number of visuals on each report page reduces the number of queries sent to the data source, improving performance for DirectQuery datasets. Option A is incorrect because reducing cardinality of measures may reduce data size but does not directly reduce the number of queries. Option B is incorrect because disabling RLS could change data access but does not significantly improve query performance. Option C is incorrect because increasing scheduled refresh frequency applies to import mode, not DirectQuery.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Reduce the cardinality of calculated measures.
Why it's wrong here
Measure cardinality does not affect query count.
- ✗
Disable row-level security (RLS) on the dataset.
Why it's wrong here
RLS has minimal impact on query performance.
- ✗
Increase the scheduled refresh frequency.
Why it's wrong here
DirectQuery does not use scheduled refresh; it queries live.
- ✓
Reduce the number of visuals on each report page.
Why this is correct
Fewer visuals mean fewer queries to the source.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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.