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DA0-002 · topic practice

Data Concepts and Environments practice questions

Domain 1 of CompTIA Data+ (DA0-002) covers data concepts and environments: data types and structures, database design and normalization, ACID transactions, data quality dimensions, and ETL/ELT pipelines. Questions are scenario-based, asking you to identify the correct concept, quality dimension, or database property for a described business situation.

Courseiva uses original exam-style practice questions designed for learning and revision. The goal is to understand the concepts, recognise exam patterns, and improve through explanations — not memorise copied exam dumps.

Editorial oversight:Johnson Ajibi· MSc IT Security, IEEE Senior Member
20 questionsDomain: Data Concepts and Environments
Practice 10 questionsBrowse domain →

What the exam tests

What to know about Data Concepts and Environments

Be able to look at a scenario and name the exact concept it illustrates: data type or structure, normalization form, ACID property, data quality dimension, or ETL/ELT behavior. The most important thing is matching the scenario's symptom to the precise term rather than a related one.

Classifying data as structured, semi-structured, or unstructured based on storage format

Applying normalization forms (1NF, 2NF, 3NF) and primary/foreign key relationships

Identifying ACID properties: atomicity, consistency, isolation, durability in transactions

Recognizing data quality dimensions such as uniqueness, completeness, accuracy, and timeliness

Watch out for

Common Data Concepts and Environments exam traps

  • ▸Confusing atomicity with consistency: atomicity means all-or-nothing execution, while consistency preserves valid database state before and after a transaction.
  • ▸Mixing up data quality dimensions, e.g., labeling duplicate records as an accuracy problem when the violated dimension is uniqueness.
  • ▸Assuming a virtual table or view stores data physically; a view is a saved query that retrieves data from underlying tables at runtime.

Practice set

Data Concepts and Environments questions

20 questions · select your answer, then reveal the explanation

Question 1easymultiple choice
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A data analyst is working with a dataset containing customer information. The dataset includes a column 'full_name' which stores first and last names together. To perform analysis on first names separately, which data concept describes the process of splitting 'full_name' into 'first_name' and 'last_name'?

Question 2hardmulti select
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Which THREE of the following are valid data quality dimensions? (Choose THREE.)

Question 3mediummultiple choice
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When the analyst runs the query, it fails. What is the most likely reason?

Network Topology
+Refer to the exhibit.FROM ProductsWHERE TotalValue > 2000
Question 4hardmultiple choice
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A data analyst is reviewing the error log from a nightly batch load. What is the most likely cause of the error?

Exhibit

Refer to the exhibit.

Error log from a data pipeline:

[2025-03-15 10:32:14] ERROR: Duplicate key value violates unique constraint 'order_pkey'
[2025-03-15 10:32:14] Detail: Key (order_id)=(12345) already exists.
[2025-03-15 10:32:15] WARNING: Batch load incomplete. 4999 of 5000 rows inserted.
Question 5hardmulti select
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Which TWO of the following are examples of data governance best practices?

Question 6mediumdrag order
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Drag and drop the steps for the ETL (Extract, Transform, Load) process in the correct order.

Drag or tap steps into the slots.

Steps
Order
1Step 1
2Step 2
3Step 3
4Step 4
5Step 5
Question 7mediumdrag order
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Drag and drop the steps to create a data visualization dashboard in the correct order.

Drag or tap steps into the slots.

Steps
Order
1Step 1
2Step 2
3Step 3
4Step 4
5Step 5
Question 8mediummatching
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Match each data visualization type to its best use case.

Drag a concept onto its matching description — or click a concept then click the description.

Concepts
Matches

Compare quantities across categories

Show relationship between two numeric variables

Display distribution of a single continuous variable

Show magnitude of values across two dimensions

Summarize distribution and identify outliers

Question 9mediummulti select
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Which TWO roles are primarily responsible for defining and enforcing data governance policies within an organization?

Question 10easymultiple choice
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Refer to the exhibit. A data pipeline is failing to parse this log entry. What is the most likely cause of the error?

Exhibit

2023-08-15 14:23:45, ERROR: Invalid JSON: {"user": "John", "age": 30 "country": "USA"}
Question 11mediummulti select
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Which TWO data types are considered quantitative? (Select two.)

Question 12hardmulti select
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Which THREE characteristics describe unstructured data? (Select three.)

Question 13hardmultiple choice
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Refer to the exhibit. Based on the data profiling results, what is a likely data quality issue?

Exhibit

Column: Age
Null Count: 50
Unique Values: 23
Min: 0
Max: 150
Mean: 45.2
Median: 42
Question 14mediummultiple choice
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A company is implementing a data lifecycle management policy. Which stage occurs immediately after data is created?

Question 15easymultiple choice
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Refer to the exhibit. The data shown is an example of which data concept?

Exhibit

Refer to the exhibit.
Exhibit:
ID,Name,Age,Salary
1,John,32,50000
2,Jane,28,60000
3,Bob,45,55000
Question 16mediummultiple choice
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Refer to the exhibit. Which data concept does this exhibit best represent?

Exhibit

Refer to the exhibit.
Exhibit:
{
  "type": "object",
  "properties": {
    "customerId": { "type": "integer" },
    "name": { "type": "string" },
    "orders": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "orderId": { "type": "integer" },
          "total": { "type": "number" }
        }
      }
    }
  }
}
Question 17hardmultiple choice
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Refer to the exhibit. Which conclusion can be drawn from this data quality report?

Exhibit

Refer to the exhibit.
Exhibit:
Table: Customer_Master
Column: Email_Address
Completeness: 92%
Validity: 85%
Uniqueness: 97%
Consistency: 100%
Question 18easymultiple choice
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A company stores customer data in a relational database with tables for orders, products, and customers. Which type of data best describes this?

Question 19mediummultiple choice
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A researcher wants to study the effect of a new drug. She collects data directly from clinical trial participants. Later, she compares her findings with historical data from medical journals. Which contrast best describes her data sources?

Question 20mediummultiple choice
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A data team is building a predictive model. They have data on 'Number of employees' (whole numbers) and 'Revenue' (currency). Which statement correctly compares these data types?

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Frequently asked questions

What does the DA0-002 exam test about Data Concepts and Environments?
Be able to look at a scenario and name the exact concept it illustrates: data type or structure, normalization form, ACID property, data quality dimension, or ETL/ELT behavior. The most important thing is matching the scenario's symptom to the precise term rather than a related one.
How should I use these practice questions?
Select your answer before revealing the explanation. Then read why each option is right or wrong — this active recall approach builds retention far faster than re-reading notes.
Can I practise just Data Concepts and Environments questions in a focused session?
Yes — the session launcher on this page draws every question from the Data Concepts and Environments domain. Use a 10-question session first to gauge your baseline, then move to 20 or 30 once the weak spots are clear.
Where can I practise other DA0-002 topics?
Use the topic links above to move to related areas, or go back to the DA0-002 question bank to see all topics.
Are these real exam questions or dumps?
These are original practice questions written to test the same concepts the DA0-002 exam covers. They are not copied from any real exam or dump site.