DA0-002 Data Acquisition and Preparation Practice Question
A company is merging two customer databases from different acquisitions. They need to identify duplicate records. Which data profiling technique is most effective?
⚠ Common exam trap
Candidates often assume exact matching or primary keys are sufficient for deduplication, overlooking the real-world data inconsistencies that fuzzy matching is designed to handle.
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
✓
Fuzzy matching on name and address
Fuzzy matching on name and address is the most effective technique because customer databases from different acquisitions often contain variations in spelling, formatting, and abbreviations (e.g., 'Bob' vs. 'Robert', 'St.' vs. 'Street'). Exact matching would miss these duplicates, while fuzzy matching uses algorithms like Levenshtein distance or Jaro-Winkler to quantify similarity and identify near-matches, ensuring comprehensive deduplication.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Fuzzy matching on name and address
Why this is correct
Fuzzy matching handles variations and is appropriate for deduplication.
- ✗
Manually compare all records
Why it's wrong here
Manual review is time-consuming and error-prone for large datasets.
- ✗
Exact match on customer names
Why it's wrong here
Exact match misses duplicates with minor name differences.
- ✗
Use primary keys from each database
Why it's wrong here
Primary keys are system-specific and won't match across databases.
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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.