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| Certification Vendor: | CompTIA |
|---|---|
| Exam Name: | CompTIA Data+ Exam (2025) |
| Exam Number: | DA0-002 |
| Available Languages: | English |
| Certificate Validity Period: | 3 years |
| Passing Score: | 720 (scale of 100–900) |
| Exam Format: | Performance-based, Multiple-choice |
| Related Certifications: | CompTIA Data+ |
| Exam Price: | USD 255 |
| Exam Duration: | 90 minutes |
| Real Exam Qty: | Up to 90 |
| 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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NEW QUESTION # 143
A data analyst is designing a report for the business review team. The team lists the following requirements for the report:
- Specific data points
- Color branding
- Labels and terminology
- Suggested charts and tables
Which of the following components is missing from the requirements?
Answer: B
Explanation:
The requirements cover content and design aspects but do not specify how the report will be delivered, such as format, platform, or distribution method, which is essential for completing the report requirements.
NEW QUESTION # 144
Which of the following best describes the semi-structured data that is gathered when web scraping?
Answer: D
Explanation:
This question pertains to theData Acquisition and Preparationdomain, which in DA0-002 includes understanding data acquisition concepts and the types of data gathered from varioussources, such as web scraping. Web scraping involves extracting data from websites, and the data gathered is often semi-structured, meaning it has some organizational structure but isn't fully relational like a database table.
* JSON (Option A): JSON (JavaScript Object Notation) is a semi-structured data format commonly used in web applications. Web scraping often retrieves data in JSON format via APIs or embedded scripts, as it's lightweight and structured with key-value pairs, making it ideal for semi-structured data.
* CSV (Option B): CSV (Comma-Separated Values) is a structured format typically used for tabular data. It's not commonly the direct output of web scraping, though scraped data might be converted to CSV later.
* CSS (Option C): CSS (Cascading Style Sheets) is used for styling web pages and isn't a data format, making it irrelevant for describing scraped data.
* HTML (Option D): HTML (HyperText Markup Language) is the structure of web pages and is often the raw format scraped during web scraping. While HTML is semi-structured due to its tag-based hierarchy, it's primarily a markup language, not a data format, and the actual data extracted is often parsed into formats like JSON.
The DA0-002 Data Acquisition and Preparation domain aligns with the DA0-001 focus on "data acquisition concepts" (web ID: 14), which includes identifying formats like JSON as semi-structured data commonly acquired through web scraping. JSON is the best fit here due to its prevalence in web data exchange.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 2.0 Data Acquisition and Preparation
NEW QUESTION # 145
An analyst must use the same data to create reports for police patrol supervisors, the city council, and a public website. Which of the following is the best way to differentiate the reports?
Answer: C
Explanation:
This question falls under theVisualization and Reportingdomain, focusing on tailoring reports for different audiences. The same data is used for three distinct groups (supervisors, city council, public), requiring differentiation.
* Persona type (Option A): Persona types define the audience's needs and preferences (e.g., supervisors need operational details, the city council needs summaries, the public needs simplified data), making this the best way to differentiate the reports.
* Detail levels (Option B): Detail levels are a result of persona types, not the method of differentiation.
* Accessibility (Option C): Accessibility ensures access for all users (e.g., screen readers), but it's not the primary way to differentiate content.
* Sensitivity (Option D): Sensitivity determines data access (e.g., confidential vs. public), but the scenario implies all reports use the same data, just presented differently.
The DA0-002 Visualization and Reporting domain emphasizes "translating business requirements to form the appropriate visualization," and persona types guide report differentiation for diverse audiences.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 4.0 Visualization and Reporting.
NEW QUESTION # 146
Which of the following is the best reason for a company to use a CSV file to share data instead of an Excel file?
Answer: C
Explanation:
CSV files are not tied to a specific software vendor and can be opened, imported, and processed by a wide variety of applications and platforms. This makes CSV an ideal format for sharing data between different systems and organizations.
NEW QUESTION # 147
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: D
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 # 148
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