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For learners studying for CompTIA Data+ DA0-002 (V2)
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Practice pack content
Domain 1 - Data Concepts and Environments
Domain 2 – Data Acquisition and Preparation
Domain 3 – Data Analysis
Domain 4 – Visualization and Reporting
Domain 5 – Data Governance
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Try 3 Data+ DA0-002 (V2) practice questions
Choose an answer, explore the explanation, and see why the other options are less suitable. Three short scenarios. No sign-in required.
1. Repeated transactions after an import
After combining two monthly sales extracts, an analyst notices that several transaction IDs appear twice with identical customer, date, and amount values. The repeated rows are also inflating the revenue total. Which data inconsistency should the analyst identify first?
Answer and full explanation
Correct answer: B — Duplication.
Why B is correct
Duplication occurs when the same record is represented more than once in a data set. The decisive clue is that the transaction IDs and their associated values are repeated exactly after the extracts were combined. Those duplicate rows can distort aggregates such as total revenue because the same transaction is counted multiple times. CompTIA explicitly lists duplication as an inconsistency to identify during data exploration in Objective 2.2. The analyst should therefore investigate and resolve the duplicate records before relying on the resulting totals.
Why the other options are less suitable
- A — Redundancy: Redundancy can describe unnecessary repeated or overlapping data, but this scenario provides exact repeated transaction records with the same identifiers and values. Duplication is the more specific inconsistency.
- C — Missing values: Missing values occur when expected fields or observations are absent. Here the problem is extra repeated rows rather than incomplete records.
- D — Outliers: Outliers are observations that differ markedly from the rest of a data set. The repeated transactions are not unusual values; they are identical records appearing more than once.
Key takeaway: Exact repeated records that distort counts or totals are a duplication problem.
Read two more sample questions
2. Summarizing a skewed salary data set
An analyst is summarizing employee salaries for a department. Most salaries cluster within a narrow range, but two executive salaries are several times higher than the rest. Which measure of central tendency best represents a typical salary while limiting the influence of those extreme values?
Answer and full explanation
Correct answer: C — Median.
Why C is correct
The median is the middle value after the observations are ordered and is less influenced by extreme tail values than the arithmetic mean. The scenario describes a salary distribution with a small number of unusually high executive salaries, so a robust measure of central tendency is preferable. CompTIA Objective 3.2 includes measures of central tendency under the statistical methods and functions candidates should select in scenarios. NIST guidance notes that the median has the advantage of not being unduly affected by extremes in the tails. The median therefore gives the best representation of a typical salary for this skewed data set.
Why the other options are less suitable
- A — Mean: The mean uses every value and can be pulled upward by a small number of very large observations. That makes it less representative of the typical employee salary in this skewed distribution.
- B — Mode: The mode identifies the most frequently occurring value. It can be useful for repeated categorical or discrete values, but it does not address the scenario's need for a robust center of a skewed salary distribution.
- D — Range: The range measures dispersion by comparing the highest and lowest values. It is not a measure of central tendency and would be especially sensitive to the extreme executive salaries.
Key takeaway: Use the median when extreme values would make the mean a misleading description of the center.
3. Protecting data while it moves
A data pipeline transfers customer records from an application server to a cloud analytics platform over a network connection. Security wants the records protected from disclosure or undetected modification while they are being transmitted. Which protection practice most directly addresses this requirement?
Answer and full explanation
Correct answer: A — Encryption in transit.
Why A is correct
Encryption in transit protects data while it is moving between systems over a network. The requirement specifically concerns confidentiality and integrity during transmission from the application server to the analytics platform. CompTIA Objective 5.3 distinguishes encryption in transit from encryption at rest as separate data-protection practices. NIST describes TLS as providing confidentiality and data-integrity protection between communicating applications while information is in transit. A properly configured encrypted transport therefore most directly addresses the stated risk.
Why the other options are less suitable
- B — Encryption at rest: At-rest encryption protects stored data on disks, databases, or other storage media. It remains important, but it does not by itself protect records while they cross the network connection.
- C — Data masking: Masking obscures selected data values and can reduce exposure in reports, testing, or lower-trust contexts. It is not the direct control for protecting the confidentiality and integrity of the transmission channel.
- D — Data anonymization: Anonymization aims to reduce or remove the association between identifying data and individuals. It changes privacy exposure but does not itself secure the network transport carrying the records.
Key takeaway: Protect data crossing a network with encryption in transit; protect stored data with encryption at rest.
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Requirements
- CompTIA describes the target background as 1.5 to 2 years of hands-on experience with databases and analytical tools, basic statistics, and data visualization.
- If some objectives are unfamiliar, combine question practice with foundational study and your own exercises using SQL, data cleansing, statistics, dashboards, BI tools, privacy controls, and data-quality validation.
- You will need an internet-connected device, a current web browser, and an ExamsDigest account to use the online practice product; this does not imply bundled offline availability or a separate mobile application.
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These details describe CompTIA’s official Data+ DA0-002 (V2) exam.
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