DA0-002 Data Acquisition and Preparation Practice Question
A healthcare organization acquires data from multiple hospitals with different patient record systems. The data includes patient IDs but no common identifier across systems. Which technique should be used to link records?
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
✓
Probabilistic record linkage using name, DOB, and ZIP
(probabilistic linkage) is designed for such situations. Option A (merge without deduplication) creates duplicates and loses connections. Option B (random unique IDs) loses connections because there is no common identifier across systems. Option C (manual matching) is not scalable.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Merge all records without deduplication
Why it's wrong here
Merging all records without deduplication would result in duplicate records and does not link the same patient across systems.
- ✗
Generate random unique IDs for each system
Why it's wrong here
Generating random unique IDs for each system would break any ability to connect records of the same patient across systems.
- ✗
Manually match records for all patients
Why it's wrong here
Manually matching records for all patients is not scalable given the volume of data from multiple hospitals.
- ✓
Probabilistic record linkage using name, DOB, and ZIP
Why this is correct
Probabilistic record linkage is designed to link records using non-unique identifiers like name, DOB, and ZIP, making it suitable for this scenario.
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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.