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CompTIA DA0-002 Exam Questions
Free CompTIA DA0-002 Exam Actual Questions
Note: Premium Questions for DA0-002 were last updated On Jun. 04, 2026 (see below)
A data analyst is analyzing the following dataset:
Transaction Date
Quantity
Item
Item Price
12/12/12
11
USB Cords
9.99
11/11/11
3
Charging Block
8.89
10/10/10
5
Headphones
50.15
Which of the following methods should the analyst use to determine the total cost for each transaction?
This question falls under the Data Analysis domain, focusing on calculating new values from existing data. The task is to determine the total cost per transaction, which involves multiplying Quantity by Item Price.
Parsing (Option A): Parsing involves breaking down data (e.g., splitting a string), not calculating totals.
Scaling (Option B): Scaling adjusts numerical values to a common range (e.g., normalization), not relevant for calculating totals.
Compressing (Option C): Compressing reduces data size, not applicable to calculating costs.
Deriving (Option D): Deriving involves creating new data fields by performing calculations on existing ones (e.g., Total Cost = Quantity Item Price), which fits the task.
The DA0-002 Data Analysis domain includes 'applying the appropriate descriptive statistical methods,' such as deriving new fields through calculations to analyze data.
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A data analyst needs to identify outliers from a given dataset. Which of the following visualizations is the best way to identify outliers?
This question falls under the Visualization and Reporting domain, focusing on selecting the appropriate visualization to identify outliers in a dataset.
Box plot (Option A): A box plot displays the distribution of data, including the median, quartiles, and outliers (data points beyond the whiskers), making it the best choice for identifying outliers.
Scatter plot (Option B): A scatter plot shows relationships between two variables, and while outliers may be visible, it's not specifically designed for outlier detection.
Gantt chart (Option C): Gantt charts are for project scheduling, not suitable for outlier identification.
Waterfall chart (Option D): Waterfall charts show cumulative changes (e.g., financial contributions), not designed for outlier detection.
The DA0-002 Visualization and Reporting domain emphasizes 'translating business requirements to form the appropriate visualization,' and a box plot is the standard visualization for identifying outliers.
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Which of the following best describes the method used to combine files, software, and libraries for use on various operating systems and environments?
This question pertains to the Data Concepts and Environments domain, focusing on methods for managing software and data environments. The task is to identify a method that combines files, software, and libraries for use across different systems.
Package manager (Option A): Package managers (e.g., npm) manage software dependencies but don't combine files and libraries for cross-system use.
Code repository (Option B): Code repositories (e.g., GitHub) store code but don't package it for deployment across environments.
Virtual machine (Option C): Virtual machines emulate entire operating systems, which is heavier than needed for combining files and libraries.
Containerization (Option D): Containerization (e.g., Docker) packages files, software, and libraries into a container that can run consistently across different operating systems and environments, making it the best choice.
The DA0-002 Data Concepts and Environments domain includes understanding 'data environments,' and containerization is a standard method for ensuring consistency across systems.
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A company's entire server environment is located at the company's headquarters. Which of the following describes this type of environment?
This question pertains to the Data Concepts and Environments domain, focusing on types of server environments. The servers are located at the company's headquarters, indicating a specific deployment model.
Cloud (Option A): Cloud environments are hosted off-site by third-party providers, not at headquarters.
On-premises (Option B): On-premises environments are located at the company's physical location (e.g., headquarters), which matches the scenario.
Public (Option C): Public environments are cloud-based and shared across multiple organizations, not located at headquarters.
Hybrid (Option D): Hybrid environments combine on-premises and cloud, but the scenario specifies all servers are at headquarters.
The DA0-002 Data Concepts and Environments domain includes understanding 'data environments,' and on-premises describes a server environment located at the company's site.
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Which of the following best describes an assessment a data analyst would use to validate that the number of records in a dataset matches the expected results?
This question pertains to the Data Governance domain, focusing on data quality validation techniques. The task is to validate that the number of records matches expectations, which requires a specific type of assessment.
Source control (Option A): Source control (e.g., Git) manages code versions, not dataset validation.
Unit test (Option B): A unit test checks a specific component of a process, such as verifying that the number of records in a dataset matches the expected count, making it the best fit.
Stress test (Option C): Stress tests evaluate system performance under load, not record counts.
Health check (Option D): A health check monitors system status but isn't specific to validating record counts.
The DA0-002 Data Governance domain includes 'data quality control concepts,' and unit tests are a standard method for validating specific data outcomes like record counts.
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