- A
Optimize the SQL queries used in the dataset
Optimizing queries reduces load on the source and improves responsiveness.
- B
Create aggregations in the dataset
Why wrong: Aggregations can improve performance but query optimization should come first.
- C
Increase the Power BI Premium capacity
Why wrong: Scaling up may help but should be done after optimizing queries.
- D
Switch the dataset to Import mode
Why wrong: Import mode is not real-time and requires scheduled refresh.
Question 929 of 976
Power BI DirectQuery Performance — Troubleshooting Slow Dashboards | Microsoft Power Platform Fundamentals Explained
This PL-900 practice question tests your understanding of manage the microsoft power platform environment. 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 uses Power BI dashboards to monitor real-time production metrics. The dashboards use DirectQuery to a SQL Server database. Users report that the dashboards are slow during peak hours. What is the most effective first step to improve performance?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"first"Why it matters: Order matters here. You are being tested on which action comes before the others — not which action is generally useful.
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
✓
Optimize the SQL queries used in the dataset
Option A is correct because optimizing the SQL queries used in the dataset directly addresses the root cause of slow DirectQuery performance: inefficient queries sent to the SQL Server. DirectQuery translates Power BI visuals into SQL queries executed in real time on the source database, so poorly written or unindexed queries create bottlenecks during peak loads. Improving query efficiency (e.g., adding indexes, reducing joins, filtering early) reduces server load and response time without requiring architectural changes.
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.
- ✓
Optimize the SQL queries used in the dataset
Why this is correct
Optimizing queries reduces load on the source and improves responsiveness.
Clue confirmation
The clue word "first" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Create aggregations in the dataset
Why it's wrong here
Aggregations can improve performance but query optimization should come first.
- ✗
Increase the Power BI Premium capacity
Why it's wrong here
Scaling up may help but should be done after optimizing queries.
- ✗
Switch the dataset to Import mode
Why it's wrong here
Import mode is not real-time and requires scheduled refresh.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often assume performance issues are always solved by scaling up infrastructure (Premium capacity) or switching to Import mode, but the PL-900 exam emphasizes that the first step in troubleshooting DirectQuery slowness is to optimize the source queries and database design, not to add more resources or change the connectivity mode.
Detailed technical explanation
How to think about this question
Under the hood, DirectQuery sends a T-SQL query for each visual interaction, and the SQL Server must compile and execute these queries against live data. If the source table lacks proper indexes or the query includes non-sargable predicates, the database engine performs full table scans, causing high CPU and I/O. A real-world scenario is a production line dashboard with 50+ visuals; each visual may generate a separate query, and without query optimization, the database can become overwhelmed, leading to timeouts or degraded performance for all users.
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 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 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-900 question test?
Manage the Microsoft Power Platform environment — This question tests Manage the Microsoft Power Platform environment — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Optimize the SQL queries used in the dataset — Option A is correct because optimizing the SQL queries used in the dataset directly addresses the root cause of slow DirectQuery performance: inefficient queries sent to the SQL Server. DirectQuery translates Power BI visuals into SQL queries executed in real time on the source database, so poorly written or unindexed queries create bottlenecks during peak loads. Improving query efficiency (e.g., adding indexes, reducing joins, filtering early) reduces server load and response time without requiring architectural changes.
What should I do if I get this PL-900 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Are there clue words in this question I should notice?
Yes — watch for: "first". Order matters here. You are being tested on which action comes before the others — not which action is generally useful.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jul 4, 2026
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