DA0-002 Data Acquisition and Preparation Practice Question
A data analyst is reviewing a dataset of customer transactions and wants to assess data quality by profiling the 'order_date' column. Which TWO profiling tasks are most appropriate for this date column? (Select TWO).
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
✓
Count of null values
Profiling a date column typically includes checking for null values and verifying the data type. Cardinality and pattern analysis are more relevant for categorical or string columns; variance is for numeric data.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Pattern analysis (e.g., format consistency)
Why it's wrong here
Pattern analysis is typically for string columns, not date columns.
- ✓
Count of null values
Why this is correct
Null count is a standard profiling check for any column.
- ✗
Variance
Why it's wrong here
Variance is a statistical measure for numeric data, not applicable to dates.
- ✗
Cardinality (number of unique values)
Why it's wrong here
Cardinality is more useful for categorical columns; for dates, range is often more informative.
- ✓
Data type verification
Why this is correct
Verifying that the column is stored as a date type is an important quality check.
Go deeper
Related to this question
About these practice questions
Courseiva writes every DA0-002 question from scratch — 986 in total, each with an explanation and a wrong-answer breakdown. None are copied from real exams or dumps. Learn why practice questions differ from exam dumps →
JA
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.