PL-900 Practice Question: Describe the business value of Microsoft Power Platform
A retail company uses Power BI to monitor sales performance. They notice that the report data refreshes only once daily, but business users need near-real-time insights. What should they recommend?
⚠ Common exam trap
Watch out — candidates often confuse scheduled refresh frequency with real-time streaming, assuming that increasing the refresh interval (Option D) or using automation (Option C) can achieve near-real-time updates, when in fact Power BI's architecture requires a streaming dataset for sub-minute data ingestion.
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
✓
Configure a streaming dataset in Power BI.
Streaming datasets in Power BI are designed for real-time or near-real-time data ingestion, allowing dashboards to update continuously as new data arrives. This directly addresses the requirement for near-real-time insights without relying on scheduled refreshes.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Export the data to Excel for manual updates.
Why it's wrong here
Excel does not provide near-real-time updates automatically.
- ✓
Configure a streaming dataset in Power BI.
Why this is correct
Streaming datasets allow real-time data push and dashboard updates.
- ✗
Create a Power Automate flow to refresh the dataset every minute.
Why it's wrong here
Power Automate cannot refresh Power BI datasets at high frequency; Power BI has its own real-time features.
- ✗
Increase the scheduled refresh frequency to every 15 minutes.
Why it's wrong here
Even 15 minutes is not near-real-time and may not be supported by all data sources.
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