Microsoft Certified:Azure Data Fundamentals
Domain 4Objective 1
Describe Common Elements of Large-Scale Analytics DP-900 Practice Questions (Page 2)
Part of the Describe an analytics workload on Azure domain, which accounts for 25–30% of the DP-900 exam. Microsoft does not publish an official question count, but from its 45-minute exam (~20–30 total, ~5–9 in this domain), expect 2–3 from this objective — we provide 35 practice questions to prepare you well beyond it. (estimate)
35questions here
7free pages
6concepts
25–30%of the exam
Questions 6–10
- 6
A financial services company needs to run complex SQL queries on structured data for regulatory reporting. They require high performance for aggregations and joins over billions of rows. Which analytical data store should they use?
Select an answer first - 7
A financial company needs to process transaction data for fraud detection. The data arrives in real-time, but the company also needs to run historical analysis on the same data. They want to use a single platform that supports both stream and batch processing. Which service should they choose?
Select an answer first - 8
A media company receives large video files from partners via FTP. They need to ingest these files into Azure and then transform them into a structured format for analysis. Which combination of Azure services should they use?
Select an answer first - 9
An organization needs to store raw, unprocessed data in its native format for future exploration and machine learning. The data may include structured, semi-structured, and unstructured files. Which type of analytical data store is most appropriate for this requirement?
Select an answer first - 10
A logistics company ingests IoT sensor data from delivery vehicles every second. They need to process this data to detect anomalies in near real-time and trigger alerts. Which Azure service should they use for this processing?
Select an answer first
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