Microsoft Azure Data Fundamentals DP-900 Practice Question
An online retailer must process each customer order immediately, enforce referential integrity, and enable quick look-ups and updates to a small number of rows per request. Which data workload type best fits these requirements?
The scenario describes high-frequency inserts and updates that must complete quickly, while guaranteeing data consistency for each individual order. These requirements align with a transactional, or OLTP, workload. Analytical, big-data batch, and streaming analytics workloads are optimized for read-heavy aggregations or large-scale data processing, not for row-level read/write operations that need ACID guarantees.
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Microsoft Azure Data Fundamentals DP-900
Describe core data concepts
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