This PL-300 practice question tests your understanding of prepare the data. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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 dataset that uses DirectQuery to an Azure SQL Database. Users complain that reports take too long to load. You suspect that the database is overwhelmed by queries. What should you do to improve performance while keeping DirectQuery?
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 per page and apply slicers to limit data.
Option A is correct because reducing the number of visuals per page and applying slicers to limit data reduces the number of DAX queries sent to the Azure SQL Database via DirectQuery. Each visual generates at least one query, so fewer visuals mean fewer concurrent queries, and slicers add WHERE clauses that reduce the result set size, lowering the load on the database.
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.
✓
Reduce the number of visuals per page and apply slicers to limit data.
Why this is correct
Fewer visuals and slicers reduce the query load.
Related concept
Read the scenario before looking for a memorised answer.
✗
Increase the Power BI Premium capacity size.
Why it's wrong here
This does not reduce the number of queries sent to the database.
✗
Create aggregations in the dataset.
Why it's wrong here
Aggregations in DirectQuery still send queries if not hitting the aggregation.
✗
Change the storage mode to Import.
Why it's wrong here
Import may violate data freshness requirements.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often assume scaling up the Power BI service (Option B) will fix database performance issues, but DirectQuery performance is fundamentally limited by the source database's ability to handle queries, not by Power BI's compute capacity.
Detailed technical explanation
How to think about this question
Under the hood, each visual in DirectQuery mode generates one or more SQL queries that are executed against the source database. Slicers add filter predicates that reduce the number of rows scanned, and reducing visuals lowers the total query concurrency. In a real-world scenario, a dashboard with 20 visuals on a single page can overwhelm a database with 20 simultaneous queries, while splitting across pages with slicers can reduce concurrency to 2-3 queries at a time.
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.
Prepare the data — This question tests Prepare the data — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Reduce the number of visuals per page and apply slicers to limit data. — Option A is correct because reducing the number of visuals per page and applying slicers to limit data reduces the number of DAX queries sent to the Azure SQL Database via DirectQuery. Each visual generates at least one query, so fewer visuals mean fewer concurrent queries, and slicers add WHERE clauses that reduce the result set size, lowering the load on the database.
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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