The answer is OLTP (Online Transaction Processing) because the payment authorization process requires high-speed, low-latency handling of millions of small credit card transactions per second, where each transaction reads, inserts, or updates a single row in real time. This aligns perfectly with OLTP’s core design for ACID-compliant, row-based operations on current data, as opposed to OLAP systems that batch-process large historical datasets for analysis. On the Microsoft Azure Data Fundamentals DP-900 exam, this scenario tests your ability to distinguish OLTP from OLAP workloads—a common trap is confusing the need for complex fraud reports (which is OLAP) with the transaction-heavy authorization step itself. Remember the memory tip: if it’s a quick, individual action like swiping a card, think OLTP; if it’s a slow, big-picture query over months of data, think OLAP.
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 company has a database that processes millions of small credit card transactions per second for payment authorization. They also need to run complex reports that aggregate transaction data over months to detect fraud patterns. Which type of workload describes the payment authorization process?
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)
The payment authorization process involves high-volume, low-latency transactions that read, insert, and update individual records in real time. This is the classic definition of OLTP (Online Transaction Processing), which is optimized for ACID-compliant, row-based operations on current data. The scenario explicitly states 'millions of small credit card transactions per second,' which aligns with OLTP workloads like order entry or banking.
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.
✓
OLTP (Online Transaction Processing)
Why this is correct
OLTP systems handle high volumes of small, fast transactions, such as credit card authorization.
Related concept
Read the scenario before looking for a memorised answer.
✗
OLAP (Online Analytical Processing)
Why it's wrong here
OLAP is for complex queries and aggregations over historical data, not the high-speed transaction processing described.
✗
HTAP (Hybrid Transactional/Analytical Processing)
Why it's wrong here
HTAP combines OLTP and OLAP in one system, but payment authorization is purely transactional.
✗
ETL (Extract, Transform, Load)
Why it's wrong here
ETL is a data pipeline process, not a workload type for processing transactions.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates see 'complex reports' and 'aggregate transaction data' in the same question and assume the entire workload is analytical, but the question explicitly asks only about the payment authorization process, which is purely transactional.
Detailed technical explanation
How to think about this question
OLTP systems typically use normalized schemas and B-tree indexes to optimize for fast point lookups and small writes. In contrast, OLAP systems use columnar storage and star schemas to accelerate aggregation queries. A real-world example is a credit card authorization system that must return an approval or decline in under 200 milliseconds, which requires row-level locking and write-ahead logging to maintain consistency under high concurrency.
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.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this DP-900 question in full detail.
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: OLTP (Online Transaction Processing) — The payment authorization process involves high-volume, low-latency transactions that read, insert, and update individual records in real time. This is the classic definition of OLTP (Online Transaction Processing), which is optimized for ACID-compliant, row-based operations on current data. The scenario explicitly states 'millions of small credit card transactions per second,' which aligns with OLTP workloads like order entry or banking.
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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Question Discussion
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