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CompTIA DA0-002 Exam Overview:

Certification Vendor:CompTIA
Exam Name:CompTIA Data+ Certification Exam
Exam Number:DA0-002
Exam Price:$253 USD (may vary by region/tax)
Exam Duration:90 minutes
Passing Score:675 (on a scale of 100–900)
Real Exam Qty:Up to 90
Certificate Validity Period:3 years
Available Languages:English
Exam Format:Performance-based questions, Multiple-response, Multiple-choice
Recommended Training:CompTIA CertMaster Learn for Data+
CompTIA Data+ Study Resources
Exam Registration:CompTIA Data+ Certification Page
Pearson VUE CompTIA Exams Registration
Sample Questions:CompTIA DA0-002 Sample Questions
Exam Way:Delivered via Pearson VUE testing centers or online proctored exam
Pre Condition:No mandatory prerequisites. Recommended: 18–24 months of experience in a business/data analytics environment.
Official Syllabus URL:https://www.comptia.org/certifications/data-plus

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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
  • 5.0 Data Governance, Quality, and Controls
Topic 3
  • 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 (Q27-Q32):

NEW QUESTION # 27
A data analyst needs to modify a dashboard that was created by another employee. Upon opening the dashboard, the analyst notices that the information is not loading properly. Which of the following should the analyst do to troubleshoot this error?

Answer: C

Explanation:
When a dashboard fails to load information properly, the first step is to verify that the dashboard's data connections are functioning correctly. Reviewing the data layer and data source helps identify broken connections, unavailable sources, or data retrieval issues that commonly prevent dashboard content from loading.


NEW QUESTION # 28
Which of the following is business intelligence software?

Answer: B

Explanation:
This question falls under theVisualization and Reportingdomain, focusing on identifying tools used for business intelligence (BI), which typically involves data visualization and reporting.
* SAS (Option A): SAS is a statistical analysis software, not primarily a BI tool focused on visualization.
* Python (Option B): Python is a programming language, not a BI software, though it can be used for data analysis with libraries.
* Notepad++ (Option C): Notepad++ is a text editor, not a BI tool.
* Tableau (Option D): Tableau is a leading BI software designed for data visualization, dashboards, and reporting, making it the correct choice.
The DA0-002 Visualization and Reporting domain includes understanding "the appropriate visualization in the form of a report or dashboard," and Tableau is a recognized BI tool for this purpose.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 4.0 Visualization and Reporting.


NEW QUESTION # 29
Which of the following is the most efficient to use when programming repeatable tasks?

Answer: A

Explanation:
Robotic process automation is designed to automate repetitive, rule-based tasks, making it the most efficient choice for repeatable processes.


NEW QUESTION # 30
A data scientist is presenting a summary speech on current AI trends in the data industry to local high school students. Which of the following should the data scientist consider first when developing the presentation?

Answer: D

Explanation:
The technical knowledge of the audience should be considered first because it determines the appropriate level of detail, terminology, and complexity of the presentation. Since the audience consists of high school students, the content should be tailored to their likely level of understanding to ensure effective communication.


NEW QUESTION # 31
Which of the following elements is the most important to include in a dashboard for internal technical audiences?

Answer: D

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 # 32
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