Question 61 of 982
Describe core data conceptseasyMultiple ChoiceObjective-mapped

Quick Answer

The answer is B) Transactional processing (OLTP) because the e-commerce website’s order processing involves frequent, real-time insert, update, and delete operations on individual records, which is the defining characteristic of an Online Transaction Processing workload. OLTP systems are optimized for high-volume, low-latency transactions that must maintain ACID properties—Atomicity, Consistency, Isolation, and Durability—to ensure each order is immediately and reliably recorded. On the Microsoft Azure Data Fundamentals DP-900 exam, this distinction tests your ability to separate transactional workloads from analytical ones like OLAP, which batch-process large datasets for reporting. A common trap is confusing the end-of-quarter sales reports (which are OLAP) with the order processing itself; remember that if data is being changed row by row in real time, it is OLTP. Memory tip: think “OLTP = Order-Level Transaction Processing” for immediate, individual updates.

DP-900 Describe core data concepts Practice Question

This DP-900 practice question tests your understanding of describe core data concepts. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.

A retail company operates an e-commerce website that processes customer orders (insert, update, delete) throughout the day. The same company also runs reports on sales trends at the end of each quarter. Which type of data processing workload does the order processing represent?

Question 1easymultiple choice
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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

B) Transactional processing (OLTP)

Order processing involves inserting, updating, and deleting individual customer orders in real time as they occur. This is the classic definition of an Online Transaction Processing (OLTP) workload, which is optimized for high-volume, low-latency transactions that maintain ACID (Atomicity, Consistency, Isolation, Durability) properties. The e-commerce website requires immediate data consistency for each order, which is the hallmark of transactional processing.

Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • A) Batch processing

    Why it's wrong here

    Incorrect. Batch processing involves processing large volumes of data periodically, not handling individual real-time transactions. The order processing is real-time and transactional, not batch.

  • B) Transactional processing (OLTP)

    Why this is correct

    Correct. Order processing requires real-time handling of individual inserts, updates, and deletes, which is the definition of OLTP. OLTP systems are designed for high concurrency and low latency for transactional operations.

    Related concept

    Read the scenario before looking for a memorised answer.

  • C) Analytical processing (OLAP)

    Why it's wrong here

    Incorrect. OLAP is used for complex queries that aggregate large volumes of historical data, such as the quarterly sales reports. It does not describe the order processing itself, which is transactional.

  • D) Stream processing

    Why it's wrong here

    Incorrect. Stream processing implies continuous processing of unbounded data streams with low latency, such as real-time event streams. Order processing is transactional but not necessarily a continuous stream in this scenario.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates confuse 'analytical processing' (OLAP) with 'transactional processing' (OLTP) because both involve databases, but OLAP is for read-heavy, aggregated queries on historical data, not for the write-heavy, individual row operations of order management.

Trap categories for this question

  • Scenario analysis trap

    Incorrect. Stream processing implies continuous processing of unbounded data streams with low latency, such as real-time event streams. Order processing is transactional but not necessarily a continuous stream in this scenario.

Detailed technical explanation

How to think about this question

Under the hood, OLTP systems typically use row-oriented storage (e.g., in SQL Server or PostgreSQL) to optimize for point lookups and small writes, and they rely on locking or optimistic concurrency control to ensure transaction isolation. A subtle behavior is that OLTP databases often use write-ahead logging (WAL) to guarantee durability even if the system crashes mid-transaction. In a real-world scenario, if the order processing system were mistakenly designed as a batch job, customers would not see their order confirmation until the next batch run, causing unacceptable delays.

KKey Concepts to Remember

  • Read the scenario before looking for a memorised answer.
  • Find the constraint that changes the correct option.
  • Eliminate answers that are true in general but not in this case.

TExam Day Tips

  • Watch for words such as best, first, most likely and least administrative effort.
  • Review why wrong options are wrong, not only why the correct option is correct.

Key takeaway

Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Real-world example

How this comes up in practice

A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.

What to study next

Got this wrong? Here's your next step.

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FAQ

Questions learners often ask

What does this DP-900 question test?

Describe core data concepts — This question tests Describe core data concepts — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: B) Transactional processing (OLTP) — Order processing involves inserting, updating, and deleting individual customer orders in real time as they occur. This is the classic definition of an Online Transaction Processing (OLTP) workload, which is optimized for high-volume, low-latency transactions that maintain ACID (Atomicity, Consistency, Isolation, Durability) properties. The e-commerce website requires immediate data consistency for each order, which is the hallmark of transactional processing.

What should I do if I get this DP-900 question wrong?

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Last reviewed: Jun 11, 2026

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