Power BI Service and Collaboration Flashcards
6 cards from real Microsoft Power BI practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.
Read the first 6 Power BI Service and Collaboration flashcards as text
What is a 'Dataflow' in Power BI Service?
Answer: A cloud-based ETL feature that uses Power Query to prepare reusable datasets stored in Azure Data Lake
Dataflows are cloud-based Power Query transformations that create reusable, refreshable entity tables stored in Azure Data Lake Storage, shareable across multiple datasets.
What is an 'On-premises data gateway' used for in Power BI?
Answer: A bridge that enables Power BI Service to connect to on-premises data sources for scheduled refresh or DirectQuery
The On-premises data gateway acts as a secure bridge between Power BI Service in the cloud and data sources located in on-premises or private network environments.
What is 'Scheduled Refresh' in Power BI Service?
Answer: An automated data refresh of an imported dataset at configured times without manual intervention
Scheduled Refresh automatically updates an imported dataset's data at configured times (up to 8 times/day on Pro, 48 times/day on Premium) by re-running the data load pipeline.
What is the maximum number of times a Power BI Pro dataset can be scheduled to refresh per day?
Answer: 8 times
Power BI Pro datasets support up to 8 scheduled refreshes per day; Power BI Premium supports up to 48 scheduled refreshes per day.
What does 'Sensitivity Labels' in Power BI Service help with?
Answer: Classifying and protecting Power BI content based on Microsoft Information Protection sensitivity labels
Sensitivity Labels in Power BI integrate with Microsoft Information Protection to classify content (e.g., Confidential, Public) and apply protection policies like encryption when exported.
What is 'Incremental Refresh' in Power BI and what is its main benefit?
Answer: A refresh that only updates changed rows, reducing refresh time and resource use for large datasets
Incremental Refresh divides a table into historical (frozen) and recent (refreshed) partitions, so only new or changed data is refreshed, dramatically reducing refresh times for large datasets.