DP-900 Describe core data concepts Practice Question
A company operates an online store where customers place orders and the system immediately updates inventory and records payments. This workload is best described as:
⚠ Common exam trap
Many candidates confuse OLTP with batch processing because both involve data updates, but OLTP requires immediate, row-level transactions while batch processing defers updates to a scheduled window.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
OLTP (Online Transaction Processing)
This workload is best described as OLTP because it involves real-time, high-frequency transactions that immediately update inventory and record payments. OLTP systems are designed for concurrent, atomic operations that maintain data integrity, which is exactly what an online store's order processing requires.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
OLAP (Online Analytical Processing)
Why it's wrong here
OLAP (Online Analytical Processing) is designed for complex analytical queries that scan and aggregate large volumes of historical data to support business intelligence, not for the immediate, row-level updates an order placement requires. OLAP systems typically use multidimensional schemas and columnar storage optimized for read-heavy workloads, which would be inefficient and incur latency if used as the transaction system of record. Because order processing demands high-frequency, low-latency inserts and updates, OLAP is the wrong workload.
- ✓
OLTP (Online Transaction Processing)
Why this is correct
OLTP (Online Transaction Processing) is the correct workload because order placement involves multiple concurrent, short-duration transactions—inserting the order, adjusting inventory, and recording payment—that must each be executed atomically and with ACID guarantees. These systems use row-based, normalized storage to provide fast writes, strict data integrity, and very low response times even under heavy user concurrency. This directly matches the operational need for immediate, reliable processing of each customer action.
- ✗
Batch processing
Why it's wrong here
Batch processing is incorrect because it collects and processes data in predefined groups at scheduled intervals, such as nightly runs, leading to hours of delay before an order is recorded. An e-commerce order system requires event-driven, per-transaction processing where each order is handled in real time to confirm availability, deduct stock, and generate an invoice. Batch processing is best suited for large-scale transformations or analytical workloads, not for delivering the instant, transactional feedback an online store requires.
- ✗
Data warehousing
Why it's wrong here
Data warehousing is the wrong choice because it is a read-optimized repository that integrates and stores large amounts of historical data for reporting and trend analysis, not for performing live business transactions. Data is loaded into a warehouse through ETL or ELT processes, meaning the warehouse becomes a copy of consolidated data after the fact. The operational order system, by contrast, must support rapid, record-level writes and maintain the authoritative source of truth; those requirements belong to an OLTP system, not a warehouse.
Go deeper
Related to this question
Learn chapter
Data Roles and Core Concepts
Key term
OLTP
OLTP (Online Transaction Processing) is a data processing system designed to manage and record high volumes of real-time transactions, such as bank deposits or online purchases, quickly and reliably.
Key term
Data
Data is raw, unprocessed information, like numbers, words, or measurements, that can be stored, processed, and analyzed by computers.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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