EMC DEA-7TT2 : Associate - Data Science and Big Data Analytics v2 Exam
- Exam Code: DEA-7TT2
- Exam Name: Associate - Data Science and Big Data Analytics v2 Exam
- Updated: Aug 23, 2026
- Q & A: 233 Questions and Answers
About EMC DEA-7TT2 Exam
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Get to know about the topics of the Dell DEA-7TT2 Certification Exam
The topics of the Dell DEA-7TT2 Certification Exam are following:
Big Data, Analytics, and the Data Scientist Role (5%)
Initial Analysis of the Data (15%)
Advanced Analytics - Theory, Application, and Interpretation of Results for
Data Analytics Lifecycle (8%)
Eight Methods (40%)
Operationalizing an Analytics Project and Data Visualization Techniques
Advanced Analytics for Big Data - Technology and Tools (22%)
(10%)
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The Average Salary of different countries of Dell DEA-7TT2 Certified Professional
United States: USD $103,000
UK: Pounds £73,500
India: INR 5,60,000
EMC DEA-7TT2 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Operationalizing an Analytics Project and Data Visualization | 10% | - Visualization best practices and tools - Deployment and integration of models - Guidelines for communicating findings |
| Topic 2: Initial Analysis of the Data | 15% | - Statistical measures and data visualization - Hypothesis testing concepts and application - Basic R commands for data exploration |
| Topic 3: Big Data, Analytics, and the Data Scientist Role | 5% | - Role and required skills of a Data Scientist - Business drivers for Big Data analytics - Characteristics of Big Data |
| Topic 4: Data Analytics Lifecycle | 8% | - Model building phase activities and roles - Model planning phase activities and roles - Purpose and phases of the lifecycle - Data preparation phase activities and roles - Discovery phase activities and roles - Communicating results and operationalization |
| Topic 5: Advanced Analytics for Big Data - Technology and Tools | 22% | - Advanced SQL: window functions, aggregates, MADlib - In-database analytics and SQL fundamentals - Spark and distributed processing frameworks - Hadoop ecosystem and its components |
| Topic 6: Advanced Analytics - Theory, Application, and Interpretation | 40% | - Model evaluation and validation methods - Association rules and time series analysis - Classification and clustering techniques - Unsupervised and supervised learning concepts - Linear and logistic regression |
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