Microsoft Azure Data Fundamentals DP-900 Practice Question
Your organization runs a point-of-sale system that writes each customer purchase to a database in real time. Finance staff also generate weekly reports that summarize six months of sales data to identify seasonal trends. In the context of Azure data workloads, how should you classify each of these two activities?
The point-of-sale system is a transactional workload, and the reporting process is an analytical workload.
Both workloads are analytical because they involve sales data.
Both workloads are transactional because they store data in a database.
The point-of-sale system is an analytical workload, and the reporting process is a transactional workload.
A point-of-sale application focuses on rapidly capturing individual transactions, requires ACID guarantees, and supports high concurrency; these characteristics define a transactional workload. Weekly reporting over historical data performs large-scale reads, aggregates data, and seeks trends for business intelligence, which are hallmarks of an analytical workload. Therefore, the sales application is transactional, while the reporting process is analytical. The other options either misclassify one or both activities or overlook the differing workload patterns.
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Microsoft Azure Data Fundamentals DP-900
Describe core data concepts
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