Microsoft Azure Data Fundamentals DP-900 Practice Question
A retailer plans to load several terabytes of historical point-of-sale data into an Azure Synapse Analytics dedicated SQL pool so that analysts can run quarterly sales trend reports. Which feature is typical of this analytical workload?
Queries are mostly read-intensive and return aggregated results across large data sets.
Strict row-level locking is required to prevent concurrent reads.
Data must be updated in real time with sub-second latency.
The workload consists of many small, short-lived transactions that modify individual rows.
Analytical workloads focus on discovering insights from large volumes of data that has already been collected. They are dominated by complex, read-intensive queries that scan many rows and return aggregated results such as trends and patterns. In contrast, transactional workloads process numerous small, short-lived write operations, often require sub-second response times, and depend on strict locking to ensure consistency for concurrent updates-all of which are less important for analytical scenarios.
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Microsoft Azure Data Fundamentals DP-900
Describe core data concepts
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