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CompTIA DA0-002 Exam Overview:

Certification Vendor:CompTIA
Exam Name:CompTIA Data+ Exam
Exam Number:DA0-002
Certificate Validity Period:3 years
Available Languages:English
Exam Duration:90 minutes
Passing Score:720 (scale 100โ€“900)
Exam Format:Multiple-choice, Performance-based questions
Exam Price:$255 USD
Real Exam Qty:Up to 90
Recommended Training:CompTIA Official Training
Exam Registration:Pearson VUE Testing
CompTIA Official Registration
Sample Questions:CompTIA DA0-002 Sample Questions
Exam Way:Online proctored or onsite at Pearson VUE test centers
Pre Condition:Recommended 18โ€“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:

TopicDetails
Topic 1
  • 5.0 Data Governance, Quality, and Controls
Topic 2
  • Data Analysis: This section of the exam measures skills of a Reporting Analyst and includes foundational knowledge of statistical methods such as averages, variances, and standard deviation. It covers how to use data to find patterns, track performance, and make predictions. This domain also introduces hypothesis testing, regression, correlation, and different types of analysis like exploratory and trend analysis. Candidates should also be aware of common tools used for analysis, including Excel, SQL, Python, R, and popular BI platforms like Tableau and Power BI.
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.
Topic 4
  • 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.

CompTIA Data+ Exam Sample Questions (Q151-Q156):

NEW QUESTION # 151
Which of the following tables holds relational keys and numeric values?

Answer: B


NEW QUESTION # 152
Which of the following best explains the purpose of data lineage?

Answer: C

Explanation:
Data lineage documents the lifecycle of data, showing how it moves and changes as it passes through systems, processes, and transformations--from initial acquisition to final reporting and consumption. It helps organizations understand where data came from, how it was modified, and whether it can be trusted for decision-making.


NEW QUESTION # 153
A data analyst needs to join data from two tables in a way that all data from one table is shown even if a matching row is not in the other table. Which of the following should the analyst use to achieve the desired output?

Answer: B

Explanation:
A right outer join returns all records from one table while including matching records from the other table when available, ensuring all data from the specified table is preserved even without matches.


NEW QUESTION # 154
Which of the following elements is the most important to include in a dashboard for internal technical audiences?

Answer: C

Explanation:
This question pertains to theVisualization and Reportingdomain, focusing on dashboard design for specific audiences. Internal technical audiences (e.g., data analysts, IT staff) need actionable, data-driven insights.
* Methodology section (Option A): Methodology is important for research reports, not dashboards, especially for technical audiences who prioritize data.
* Dynamic features (Option B): Dynamic features (e.g., interactivity) are useful but not the most critical element for technical audiences.
* Key performance indicators (Option C): KPIs provide critical metrics (e.g., system uptime, error rates) that technical audiences need to monitor and act on, making this the most important element.
* Company branding (Option D): Branding is more relevant for external audiences, not internal technical ones.
The DA0-002 Visualization and Reporting domain emphasizes "translating business requirements to form the appropriate visualization," and KPIs are essential for technical dashboards.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 4.0 Visualization and Reporting.


NEW QUESTION # 155
Giving the following values:
47
59
83
33
51
39
52
Which of the following is the mean?

Answer: A

Explanation:
The mean is the average of the values: (47 + 59 + 83 + 33 + 51 + 39 + 52) รท 7 = 51.43, rounded to 51.


NEW QUESTION # 156
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