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Data Concepts and EnvironmentseasyMultiple ChoiceObjective-mapped

DA0-002 Data Concepts and Environments Practice Question

A hospital's patient records system must process thousands of small transactions per second. Which type of database system is best suited for this workload?

⚠ Common exam trap

It's easy for candidates to confuse OLTP with OLAP, mistakenly thinking that 'processing many transactions' implies analytical processing, when in fact OLTP is the correct choice for high-frequency, small, write-heavy workloads.

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

OLTP (Online Transaction Processing) systems are designed to handle a high volume of small, concurrent transactions with low latency and high concurrency. This makes them ideal for a hospital patient records system that must process thousands of small transactions per second, such as patient check-ins, prescription updates, and billing entries.

Answer analysis

Option-by-option breakdown

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

  • Data mart

    Why it's wrong here

    A data mart is a subset of a data warehouse for a specific department.

  • OLTP

    Why this is correct

    OLTP handles many concurrent short transactions efficiently.

  • Data warehouse

    Why it's wrong here

    Data warehouses are for analytics, not transactional processing.

  • OLAP

    Why it's wrong here

    OLAP is optimized for analytical queries, not high-volume transactions.

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

This DA0-002 practice question is part of Courseiva's free CompTIA certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the DA0-002 exam.