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CompTIA DA0-002 Exam Overview:

Certification Vendor:CompTIA
Exam Name:CompTIA Data+ Exam (2025)
Exam Number:DA0-002
Related Certifications:CompTIA Data+
Certificate Validity Period:3 years
Exam Format:Performance-based, Multiple-choice
Exam Price:USD 255
Passing Score:720 (scale of 100โ€“900)
Real Exam Qty:Up to 90
Exam Duration:90 minutes
Available Languages:English
Sample Questions:CompTIA DA0-002 Sample Questions
Exam Way:Online proctored or at Pearson VUE authorized testing centers
Pre Condition:No formal prerequisites; recommended 18โ€“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 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 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
  • 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.

CompTIA Data+ Exam Sample Questions (Q57-Q62):

NEW QUESTION # 57
An analyst needs to produce a final dataset using the following tables:

The expected output should be formatted as follows:
| CourseID | SectionNumber | StudentID | FirstName | LastName |
Which of the following actions is the best way to produce the requested output?

Answer: C


NEW QUESTION # 58
A company's analytics manager wants all reports to be delivered once every seven days. Which of the following is the best delivery method?

Answer: D

Explanation:
This question pertains to theVisualization and Reportingdomain, focusing on report delivery methods. The requirement for delivery every seven days indicates a scheduled, repeating process.
* Recurring (Option A): Recurring delivery schedules reports to be generated and delivered at regular intervals (e.g., weekly), which matches the requirement of every seven days.
* Ad hoc (Option B): Ad hoc reports are one-time, on-demand reports, not suitable for scheduled delivery.
* Custom (Option C): Custom isn't a standard delivery method; it might refer to tailored reports but doesn't imply scheduling.
* Snapshot (Option D): A snapshot captures data at a specific point, not suitable for recurring delivery.
The DA0-002 Visualization and Reporting domain includes "the appropriate visualization in the form of a report" with delivery methods, and recurring delivery is ideal for weekly reports.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 4.0 Visualization and Reporting.


NEW QUESTION # 59
A data analyst notices that a certain field that stores customer IDs in a defined format has incorrect values. Which of the following could help the analyst identify the issue?

Answer: A

Explanation:
Validation checks ensure that data conforms to predefined formats, rules, or constraints, which helps identify incorrect values in fields such as customer IDs.


NEW QUESTION # 60
Which of the following tables holds relational keys and numeric values?

Answer: B


NEW QUESTION # 61
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?

Answer: C


NEW QUESTION # 62
......

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