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CompTIA DA0-002 Exam Overview:

Certification Vendor:CompTIA
Exam Name:CompTIA Data+ Exam (2025)
Exam Number:DA0-002
Available Languages:English
Exam Duration:90 minutes
Exam Format:Multiple-choice, Performance-based
Real Exam Qty:Up to 90
Exam Price:USD 255
Passing Score:720 (scale of 100–900)
Certificate Validity Period:3 years
Related Certifications:CompTIA Data+
Sample Questions:CompTIA DA0-002 Sample Questions
Exam Way:Online proctored or at Pearson VUE authorized testing centers
Pre Condition:No formal prerequisites; recommended 18–24 months of experience in a report/business analyst role or equivalent knowledge
Official Syllabus URL:https://www.comptia.org/certifications/data

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CompTIA DA0-002 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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.
Topic 3
  • 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.

CompTIA Data+ Exam Sample Questions (Q169-Q174):

NEW QUESTION # 169
Which of the following best explains the purpose of data lineage?

Answer: D

Explanation:
This question pertains to theData Concepts and Environmentsdomain, focusing on the purpose of data lineage. Data lineage involves tracking the lifecycle of data.
* To see the steps and path of data flow through different systems (Option A): This describes a data flow diagram, not data lineage, which focuses on transformations rather than just flow.
* To better understand the granularity of data variable relationships (Option B): This relates to data modeling, not the purpose of data lineage.
* To track data transformations from acquisition through reporting (Option C): Data lineage tracks the journey of data, including transformations (e.g., cleaning, aggregation) from its source to its final use in reporting, which is its primary purpose.
* To look up data definitions, ensuring consistent use across business units (Option D): This describes a data dictionary, not data lineage.
The DA0-002 Data Concepts and Environments domain includes understanding "data schemas and dimensions," and data lineage specifically tracks transformations across the data lifecycle.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 1.0 Data Concepts and Environments.


NEW QUESTION # 170
A data analyst creates a report about the time that elapses between sequential events. The data set has several rows with negative integers in the elapsed time column. Which of the following is the best way to address this issue?

Answer: C

Explanation:
The presence of negative elapsed times suggests a potential data quality issue, such as incorrect event ordering, timestamp errors, or data entry problems. The best approach is to validate the data set before analysis to determine the cause of the negative values and ensure the data is accurate and reliable.


NEW QUESTION # 171
A data professional wants to identify all customers who made a purchase in January. Given the following table:
CustomerID
Month
Sales
0001
January
13000
0002
March
10000
0003
April
23000
0004
May
10000
Which of the following types of functions should the professional use to flag the customers?

Answer: D

Explanation:
This question falls under theData Analysisdomain, focusing on selecting the appropriate function type to filter data in a query. The task is to flag customers who made a purchase in January, which involves a conditional check.
* Statistical (Option A): Statistical functions (e.g., AVG, STDEV) analyze data distributions, not suitable for flagging specific months.
* Logical (Option B): Logical functions (e.g., WHERE Month = 'January' in SQL) are used to apply conditions and flag rows based on criteria, which fits the task.
* Mathematical (Option C): Mathematical functions (e.g., SUM, ROUND) perform calculations, not conditional flagging.
* Date (Option D): Date functions (e.g., MONTH()) manipulate dates, but the Month column is already in text format, so a logical comparison is sufficient.
The DA0-002 Data Analysis domain includes "applying the appropriate descriptive statistical methods using SQL queries," and logical functions are best for conditional flagging.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 3.0 Data Analysis.


NEW QUESTION # 172
A manager needs a report to be sent by email every Monday for the next six months. Which of the following is the best way to accomplish this task?

Answer: A

Explanation:
This question falls under theVisualization and Reportingdomain, focusing on report delivery methods. The task requires a report to be emailed every Monday for six months, indicating a scheduled, repeating process.
* Building self-service access (Option A): Self-service allows users to generate reports on-demand, but the manager wants automatic delivery.
* Creating a data snapshot (Option B): A snapshot captures data at a specific point, not suitable for recurring delivery over six months.
* Developing a recurring process (Option C): A recurring process schedules the report to be generated and emailed every Monday, meeting the requirement for automated delivery over six months.
* Waiting for the request each week (Option D): This is manual and inefficient, not suitable for a six- month schedule.
The DA0-002 Visualization and Reporting domain includes "the appropriate visualization in the form of a report" with delivery methods, and a recurring process is ideal for scheduled email delivery.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 4.0 Visualization and Reporting.


NEW QUESTION # 173
Which of the following is found in metadata?

Answer: D

Explanation:
Data lineage describes the origin, movement, and transformation history of data, which is a key component of metadata used to understand how data is created and used.


NEW QUESTION # 174
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