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CompTIA DA0-002 Exam Overview:

Certification Vendor:CompTIA
Exam Name:CompTIA Data+ Certification Exam
Exam Number:DA0-002
Real Exam Qty:Up to 90
Exam Format:Performance-based questions, Multiple-response, Multiple-choice
Passing Score:675 (on a scale of 100โ€“900)
Available Languages:English
Exam Duration:90 minutes
Exam Price:$253 USD (may vary by region/tax)
Certificate Validity Period:3 years
Recommended Training:CompTIA CertMaster Learn for Data+
CompTIA Data+ Study Resources
Exam Registration:Pearson VUE CompTIA Exams Registration
CompTIA Data+ Certification Page
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: 18โ€“24 months of experience in a business/data analytics environment.
Official Syllabus URL:https://www.comptia.org/certifications/data-plus

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The web-based CompTIA DA0-002 Practice Exam is compatible with all operating systems, including Mac, Linux, iOS, Android, and Windows. It is a browser-based CompTIA Data+ Exam (DA0-002) practice exam that works on all major browsers, including Chrome, Firefox, Safari, Internet Explorer, and Opera. This means that you won't have to worry about installing any complicated software or plug-ins.

CompTIA DA0-002 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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.
Topic 3
  • 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 4
  • 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 (Q41-Q46):

NEW QUESTION # 41
Giving the following values:
47
59
83
33
51
39
52
Which of the following is the mean?

Answer: B

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 # 42
A data engineer needs to create a reporting solution that has predefined filters and the ability to download .csv files. Which of the following is the best solution?

Answer: B

Explanation:
A self-service portal allows users to apply predefined filters and export data such as CSV files on demand, meeting both flexibility and usability requirements.


NEW QUESTION # 43
A product goes viral on social media, creating high demand. Distribution channels are facing supply chain issues because the testing and training models that are used for sales forecasting have not encountered similar demand. Which of the following best describes this situation?

Answer: B

Explanation:
Data drift occurs when real-world data patterns change from what the model was trained on, such as an unexpected surge in demand that the model has not previously encountered, leading to inaccurate predictions.


NEW QUESTION # 44
A recent server migration applied an update to dataset naming conventions. Multiple users are now reporting stale information in an existing dashboard. The date in the dataset confirms a successful data refresh. Which of the following should a data analyst do first?

Answer: A


NEW QUESTION # 45
A data analyst is helping a company achieve its strategic goals. Which of the following types of analytics should the analyst incorporate into the dashboards and tools delivered to the company?

Answer: C

Explanation:
Prescriptive analytics provides recommended actions based on data insights, directly supporting decision-making and helping organizations achieve their strategic goals.


NEW QUESTION # 46
......

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