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CompTIA DA0-002 Exam Overview:

Certification Vendor:	CompTIA
Exam Name:	CompTIA Data+ Exam
Exam Number:	DA0-002
Exam Duration:	90 minutes
Certificate Validity Period:	3 years
Exam Format:	Performance-based questions, Multiple-choice
Passing Score:	720 (scale 100–900)
Available Languages:	English
Real Exam Qty:	Up to 90
Exam Price:	$255 USD
Recommended Training:	CompTIA Official Training
Exam Registration:	CompTIA Official Registration Pearson VUE Testing
Sample Questions:	CompTIA DA0-002 Sample Questions
Exam Way:	Online proctored or onsite at Pearson VUE test centers
Pre Condition:	Recommended 18–24 months of experience in data/business analysis role; familiarity with databases, analytical tools, basic statistics, and visualization
Official Syllabus URL:	https://www.comptia.org/certifications/data

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CompTIA DA0-002 Exam Syllabus Topics:

Topic	Details
Topic 1	This section of the exam measures skills of a Data Governance Associate and introduces principles for keeping data secure, accurate, and compliant. It covers access controls, encryption, classification of sensitive data like PII and PHI, and legal requirements tied to data use. Candidates must know how to apply quality checks, validate data, and manage master data effectively. It also addresses best practices for maintaining integrity through data dictionaries, audits, and standardisation processes.
Topic 2	Data Mining: This section of the exam measures skills of a Business Intelligence Analyst and covers how data is collected, cleaned, and prepared for analysis. It explains methods like ETL and ELT for data integration, as well as web scraping, API use, and survey data collection. Candidates are expected to identify issues like missing or duplicated data and apply techniques like filtering, sorting, merging, and normalizing. The section also touches on query optimization strategies to improve data handling efficiency.
Topic 3	Data Concepts and Environments: This section of the exam measures the skills of a Junior Data Analyst and focuses on understanding core data concepts such as database types, schema structures, and data formats. It highlights differences between structured and unstructured data, compares file types like CSV, JSON, and XML, and introduces key ideas about data dimensions and slowly changing dimensions. Knowing how data is stored and organized helps professionals better prepare for analysis and reporting tasks.
Topic 4	Visualization: This section of the exam measures skills of a Data Visualisation Specialist and focuses on turning raw data into clear, visual insights. It teaches how to match visual formats like bar charts, heat maps, and line graphs to specific audiences and needs. Candidates must understand how to create dashboards and reports using proper design elements such as labels, layout, branding, and colour schemes. This section also includes best practices for dashboard development and delivery through various platforms and user access levels.

CompTIA Data+ Exam Sample Questions (Q143-Q148):

NEW QUESTION # 143
Given the following data set:

Which of the following is the median?

A. 0
B. 1
C. 2
D. 3

Answer: B

Explanation:
The test scores are 35, 76, 91, 45, 72, and 83. When sorted, they become 35, 45, 72, 76, 83, 91.
Since there are six values, the median is the average of the two middle values: (72 + 76) ÷ 2 =
74.

NEW QUESTION # 144
A sales manager wants to understand how sales are trending year over year. Which of the following chart types is the most appropriate to display the information?

A. Bubble
B. Donut
C. Line
D. Hierarchy

Answer: C

Explanation:
This question falls under theVisualization and Reportingdomain, focusing on selecting the appropriate visualization for a specific data trend. The task is to show sales trends over time (year over year).
* Line (Option A): Line charts are ideal for displaying trends over time, such as year-over-year sales, as they clearly show changes and patterns across a continuous time axis.
* Donut (Option B): Donut charts show proportions or percentages of a whole, not suitable for time- based trends.
* Bubble (Option C): Bubble charts display three dimensions of data (e.g., size, x-axis, y-axis), not ideal for simple time trends.
* Hierarchy (Option D): Hierarchy charts (e.g., treemaps) show nested relationships, not time-based trends.
The DA0-002 Visualization and Reporting domain emphasizes "translating business requirements to form the appropriate visualization," and a line chart is best for time-series trends.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 4.0 Visualization and Reporting.

NEW QUESTION # 145
Which of the following best enables the retrieval and manipulation of data that is stored in a relational database?

A. JavaScript
B. XML
C. SQL
D. Excel

Answer: C

NEW QUESTION # 146
A data analyst encounters an issue with new software and a code that they are using. The analyst includes print statements in the code to try to identify the issue, without success. An informal peer review of the code also produces the same result. The analyst confirms that the software is updated to the latest version and compatible with the code. Which of the following troubleshooting steps should the analyst take next?

A. Contact the IT department and inform them that the software has a bug.
B. Escalate to the department manager and ask for assistance.
C. Use the old software and preexisting code, since both were functional.
D. Research the issue online and see if a solution is available.

Answer: D

Explanation:
This question pertains to theData Governancedomain, focusing on troubleshooting andmaintaining data quality in software processes. The analyst has already tried basic debugging and confirmed compatibility, so the next step involves seeking external resources.
* Use the old software and preexisting code, since both were functional (Option A): Reverting to old software avoids solving the issue and may introduce other risks (e.g., security vulnerabilities).
* Contact the IT department and inform them that the software has a bug (Option B): Assuming a bug without further investigation is premature, especially since compatibility was confirmed.
* Escalate to the department manager and ask for assistance (Option C): Escalation is a later step after exhausting technical troubleshooting options.
* Research the issue online and see if a solution is available (Option D): Researching online (e.g., forums, documentation) is a logical next step to find solutions or identify known issues, especially after local debugging fails.
The DA0-002 Data Governance domain includes "data quality control concepts," and researching online is a standard troubleshooting step to maintain data process integrity.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 5.0 Data Governance.

NEW QUESTION # 147
Which of the following is the most efficient to use when programming repeatable tasks?

A. Deep learning
B. LLM
C. NLP
D. RPA

Answer: D

Explanation:
This question pertains to theData Acquisition and Preparationdomain, focusing on tools for automating repeatable tasks in data processes. The task is to identify the most efficient programming method.
* LLM (Option A): Large Language Models (e.g., GPT) are for text generation, not efficient for repeatable data tasks.
* Deep learning (Option B): Deep learning is for complex pattern recognition (e.g., image classification), not efficient for simple repeatable tasks.
* NLP (Option C): Natural Language Processing is for text analysis, not general repeatable tasks.
* RPA (Option D): Robotic Process Automation (RPA) automates repetitive, rule-based tasks (e.g., data entry, file processing), making it the most efficient for programming repeatable tasks.
The DA0-002 Data Acquisition and Preparation domain includes "executing data manipulation," and RPA is a widely used method for automating repeatable data tasks.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 2.0 Data Acquisition and Preparation.

NEW QUESTION # 148
......

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