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Get All Microsoft Azure Data Fundamentals Exam Questions with Validated Answers
| Vendor: | Microsoft |
|---|---|
| Exam Code: | DP-900 |
| Exam Name: | Microsoft Azure Data Fundamentals |
| Exam Questions: | 341 |
| Last Updated: | October 9, 2026 |
| Related Certifications: | Microsoft Azure |
| Exam Tags: | Beginner Microsoft Data EngineersBusiness Decision Makers |
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You have a banking application that transfers money in to and out of accounts.
Of which type of solution is this is an example?
A banking application that transfers money between accounts is a classic example of an ACID transaction. ACID transactions ensure that money is reliably debited from one account and credited to another as a single atomic operation, maintaining data consistency and integrity even in the event of failures.
Which three actions are used when performing diagnostic analytics?
When performing diagnostic analytics, three key actions used are: Drill-down (exploring data at greater granularity to understand causes), Correlation analysis (identifying relationships between variables), and Comparison (comparing datasets to identify differences). These actions help answer 'why' questions by investigating relationships and patterns in historical data.
You have a SQL pool in Azure Synapse Analytics that is only used actively every night for eight hours.
You need to minimize the cost of the SQL pool during idle times. The solution must ensure that the data
remains intact.
What should you do on the SQL pool?
A data analyst needs to create a visualization dashboard that combines sales data from a relational database, marketing spend from CSV files, and customer sentiment scores from a web API. The analyst wants to create interactive reports with drill-down capabilities and refresh the data automatically every hour. Which Microsoft service and approach would best support this scenario?
Power BI is the correct service for this data visualization scenario. The best approach involves using a composite data model that combines live relational data (via direct query or import), imported structured data (CSV), and semi-structured API responses (via Power Query connectors). Power BI's refresh scheduling feature enables automated hourly updates, and the service natively supports interactive visualizations with drill-down capabilities.
Why the other options are incorrect: Manual refresh of CSVs doesn't meet the hourly automation requirement. Exporting everything to Blob Storage and querying directly bypasses Power BI's visualization and data modeling capabilities. Excel with VBA lacks the enterprise-scale analytics and automation features that Power BI provides.
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