Data refresh in Power BI Service ensures that dashboards and reports display the latest data from their connected sources. It includes different refresh types such as scheduled refresh, on-demand refresh, and live connections, helping maintain up-to-date business intelligence without manual intervention.
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What is the main purpose of data refresh in Power BI Service?
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Question 2 of 15
2. Question
Which refresh type updates data at a fixed schedule?
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Question 3 of 15
3. Question
How many scheduled refreshes per day are allowed for Pro users?
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Question 4 of 15
4. Question
How many scheduled refreshes per day are allowed for Premium capacity?
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Question 5 of 15
5. Question
Which refresh type is triggered manually by the user?
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Question 6 of 15
6. Question
Which type of connection does not require scheduled refresh?
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Question 7 of 15
7. Question
Which refresh type keeps the dataset updated in real-time?
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Question 8 of 15
8. Question
What is incremental refresh used for?
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Question 9 of 15
9. Question
Which gateway is needed for scheduled refresh of on-premises data?
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Question 10 of 15
10. Question
What happens if a scheduled refresh fails repeatedly?
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Question 11 of 15
11. Question
How can you check the last refresh status in Power BI Service?
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Question 12 of 15
12. Question
Which refresh type is most suitable for large datasets that rarely change?
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Question 13 of 15
13. Question
Can refresh be performed on a dataset shared from another workspace?
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Question 14 of 15
14. Question
Which Power BI license is required for incremental refresh?
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Question 15 of 15
15. Question
What is the maximum dataset size for refresh in Pro workspace?
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Summary
This quiz on Data Refresh in Power BI Service explains key concepts like scheduled refresh, on-demand updates, incremental refresh, gateways, and licensing limits. Mastering refresh strategies ensures that reports remain accurate and reliable for decision-making.
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