- A
Defining data owners for each dataset
Ownership is a governance practice.
- B
Implementing data quality standards
Quality standards are part of governance.
- C
Creating indexes on frequently queried columns
Why wrong: Indexing is performance tuning.
- D
Using a data lake for storage
Why wrong: Storage architecture is not governance.
- E
Encrypting all data at rest
Why wrong: Encryption is security, not governance.
Quick Answer
The answer is implementing data quality standards and defining data owners for each dataset. These are two of the most critical data governance best practices because they establish the foundational pillars of accountability and reliability. Defining data owners assigns clear responsibility for managing access, security, and policy compliance, while data quality standards ensure that the data used for analysis is accurate, consistent, and trustworthy—directly supporting the integrity of any business decision. On the CompTIA Data+ DA0-001 exam, this topic tests your understanding of governance frameworks like DAMA-DMBOK, often appearing in scenario-based questions where you must distinguish between governance activities (like ownership and quality rules) and operational tasks (like data entry or backup). A common trap is confusing data stewards with data owners—remember that owners are senior stakeholders with decision authority, while stewards handle day-to-day management. Memory tip: “Owners own the policy, stewards steer the data.”
DA0-001 Comparing and Contrasting Data Concepts Practice Question
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 TWO of the following are examples of data governance best practices?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"best"Why it matters: Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
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
Defining data owners for each dataset
Option A is correct because defining data owners for each dataset is a core data governance practice that establishes accountability and responsibility for data assets. Data owners are typically senior stakeholders who ensure data is managed according to policies, including access controls and quality standards. This practice aligns with frameworks like DAMA-DMBOK, which emphasizes stewardship and ownership as foundational to governance.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Defining data owners for each dataset
Why this is correct
Ownership is a governance practice.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Implementing data quality standards
Why this is correct
Quality standards are part of governance.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Creating indexes on frequently queried columns
Why it's wrong here
Indexing is performance tuning.
- ✗
Using a data lake for storage
Why it's wrong here
Storage architecture is not governance.
- ✗
Encrypting all data at rest
Why it's wrong here
Encryption is security, not governance.
Common exam traps
Common exam trap: answer the scenario, not the keyword
CompTIA often tests the distinction between data governance (policies, ownership, quality) and data management (implementation, storage, performance) or security (encryption, access controls), leading candidates to confuse operational tasks with governance practices.
Detailed technical explanation
How to think about this question
Data governance frameworks like COBIT and DAMA-DMBOK define data owners as individuals with decision rights over data assets, including classification, retention, and access policies. In practice, data owners work with data stewards to enforce rules via metadata management tools (e.g., Collibra, Alation) and data catalogs. A common subtlety is that data owners are not necessarily the creators of data but are accountable for its use across the organization, which requires clear RACI matrices.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
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
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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Comparing and Contrasting Data Concepts — study guide chapter
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FAQ
Questions learners often ask
What does this DA0-001 question test?
Comparing and Contrasting Data Concepts — This question tests Comparing and Contrasting Data Concepts — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Defining data owners for each dataset — Option A is correct because defining data owners for each dataset is a core data governance practice that establishes accountability and responsibility for data assets. Data owners are typically senior stakeholders who ensure data is managed according to policies, including access controls and quality standards. This practice aligns with frameworks like DAMA-DMBOK, which emphasizes stewardship and ownership as foundational to governance.
What should I do if I get this DA0-001 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Are there clue words in this question I should notice?
Yes — watch for: "best". Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
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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.
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