Quick Answer
The answer is completeness, consistency, and uniqueness. These three data quality dimensions are commonly assessed in a data profiling task because they directly measure whether data is usable and reliable for analysis. Completeness checks for missing values, consistency ensures data values follow the same representation rules across records—such as flagging when 'NY' and 'New York' appear in the same state column—and uniqueness verifies that no duplicate entries exist. On the CompTIA Data+ DA0-001 exam, this question tests your understanding of core profiling objectives, often appearing in scenario-based items where you must identify which dimensions a profiling tool like Informatica or Talend would evaluate. A common trap is confusing accuracy with consistency; remember that consistency focuses on internal agreement, not correctness against a reference. A helpful memory tip is the acronym C-C-U: Completeness, Consistency, Uniqueness—the three pillars of initial data profiling.
This DA0-001 practice question tests your understanding of comparing and contrasting 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.
Which THREE data quality dimensions are commonly assessed in a data profiling task?
Scalability
Why wrong: Scalability is a system performance metric, not a data quality dimension.
Consistency
Consistency ensures uniform data representation, a common profiling check.
Uniqueness
Uniqueness ensures no duplicate records, part of data profiling.
Availability
Why wrong: Availability is about system uptime, not data quality.
Completeness
Completeness checks for missing values, a standard profiling dimension.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Consistency
Consistency is a core data quality dimension assessed in data profiling because it evaluates whether data values are free from contradiction and adhere to the same representation rules across records. In profiling tools like Informatica or Talend, consistency checks identify violations such as 'NY' vs 'New York' in a state column, ensuring semantic uniformity.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Scalability
Why it's wrong here
Scalability is a system performance metric, not a data quality dimension.
Consistency
Why this is correct
Consistency ensures uniform data representation, a common profiling check.
Related concept
Read the scenario before looking for a memorised answer.
Uniqueness
Why this is correct
Uniqueness ensures no duplicate records, part of data profiling.
Related concept
Read the scenario before looking for a memorised answer.
Availability
Why it's wrong here
Availability is about system uptime, not data quality.
Completeness
Why this is correct
Completeness checks for missing values, a standard profiling dimension.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
CompTIA often tests the distinction between data quality dimensions (completeness, consistency, uniqueness) and system-level attributes (scalability, availability), leading candidates to mistakenly select non-quality terms like 'Availability' or 'Scalability' because they sound relevant to data management.
Detailed technical explanation
Data profiling tools (e.g., IBM InfoSphere Information Analyzer) compute column-level statistics such as null ratios (completeness), distinct value counts (uniqueness), and pattern frequencies (consistency) using SQL-like queries or proprietary algorithms. For consistency, they often apply domain-specific rules (e.g., regex patterns for phone numbers) or cross-column dependency checks (e.g., city must match state). In real-world ETL pipelines, inconsistent data can cause join failures or incorrect aggregations, making this dimension critical for data warehouse loading.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
A practitioner preparing for the DA0-001 exam encounters this exact type of scenario on the job. The correct answer here is not the most general option — it is the best answer for the specific constraint described. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Real exam questions reward reading the full scenario before eliminating options, because the constraint defines which answer fits.
What to study next
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Comparing and Contrasting Data Concepts — study guide chapter
Learn the concepts, then practise the questions
Comparing and Contrasting Data Concepts practice questions
Targeted practice on this topic area only
All DA0-001 questions
509 questions across all exam domains
CompTIA Data+ DA0-001 study guide
Full concept coverage aligned to exam objectives
DA0-001 practice test guide
How to use practice tests most effectively before exam day
Related practice questions
Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.
Practise DA0-001 questions linked to Comparing and Contrasting Data Concepts.
Practise DA0-001 questions linked to Mining and Acquiring Data.
Practise DA0-001 questions linked to Analyzing and Modeling Data.
Practise DA0-001 questions linked to Visualizing Data.
Practise DA0-001 questions linked to Communicating Data Insights.
Practise DA0-001 questions linked to CompTIA A+ hardware.
Practise DA0-001 questions linked to CompTIA A+ mobile devices.
Practise DA0-001 questions linked to CompTIA A+ networking.
Practise DA0-001 questions linked to CompTIA A+ operating systems.
Practise DA0-001 questions linked to CompTIA A+ security.
Practise DA0-001 questions linked to CompTIA A+ software troubleshooting questions.
Practise DA0-001 questions linked to CompTIA A+ operational procedures questions.
Practice this exam
Short sessions build daily habit. Longer sessions build exam-day stamina. Try a timed session to simulate real conditions.
FAQ
Comparing and Contrasting Data Concepts — This question tests Comparing and Contrasting Data Concepts — Read the scenario before looking for a memorised answer..
The correct answer is: Consistency — Consistency is a core data quality dimension assessed in data profiling because it evaluates whether data values are free from contradiction and adhere to the same representation rules across records. In profiling tools like Informatica or Talend, consistency checks identify violations such as 'NY' vs 'New York' in a state column, ensuring semantic uniformity.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Same concept, more angles
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. Refer to the exhibit. Based on the data profiling results, what is a likely data quality issue?
hardWhy C: The min of 0 and max of 150 are biologically implausible for age. A 0-year-old or 150-year-old customer likely indicates invalid data, affecting validity.
Keep practising
Last reviewed: Jun 30, 2026
This DA0-001 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 DA0-001 exam.
Question Discussion
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
Sign in to join the discussion.