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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: Oct 11, 2026
About EMC DEA-7TT2 Exam
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EMC DEA-7TT2 Exam Overview:
| Certification Vendor: | Dell EMC |
|---|---|
| Exam Name: | Associate - Data Science and Big Data Analytics v2 Exam |
| Exam Number: | DEA-7TT2 |
| Exam Duration: | 90 minutes |
| Available Languages: | English |
| Exam Format: | Multiple Choice |
| Real Exam Qty: | 60 |
| Related Certifications: | Specialist - Data Scientist, Advanced Analytics Version 1.0 Dell EMC Proven Professional – Data Science Associate |
| Passing Score: | 60% |
| Sample Questions: |  |
| Exam Way: | Online proctored or test center exam via Pearson VUE |
| Pre Condition: | Recommended to have a strong quantitative background, understanding of statistics, experience with scripting languages such as Python, R, Java or Perl, and SQL knowledge. |
| Official Syllabus URL: | https://learning.dell.com/content/dam/dell-emc/documents/en-us/DEA-7TT2_Associate-Data_Science_and_Big_Data_Analytics_v2_Exam.pdf |
EMC DEA-7TT2 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Operationalizing an Analytics Project and Data Visualization Techniques | 10% | - Analytics project deployment and visualization
|
| Advanced Analytics for Big Data - Technology and Tools | 22% | - Big Data technologies and analytics tools
|
| Advanced Analytics - Theory, Application, and Interpretation of Results for Eight Methods | 40% | - Advanced analytics methods
|
| Data Analytics Lifecycle | 8% | - Data Analytics Lifecycle phases
|
| Initial Analysis of the Data | 15% | - Data exploration and statistical analysis
|
| Big Data, Analytics, and the Data Scientist Role | 5% | - Characteristics of Big Data
|
Questions EMC Associate - Data Science and Big Data Analytics v2 Candidates Ask Us Most
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EMC defines the following prerequisites for the EMC Associate - Data Science and Big Data Analytics v2: Recommended to have a strong quantitative background, understanding of statistics, experience with scripting languages such as Python, R, Java or Perl, and SQL knowledge..
Verify the current requirements on the official certification page before booking.
The current exam information lists 60 questions for the DEA-7TT2 exam, with 90 minutes minutes allowed. Practicing with a timer beforehand turns the limit into a familiar rhythm.
Through continuous research and development, and speed. Our technicians and experts work on the DEA-7TT2 bank daily, updating the database the moment the actual exam content changes — more frequently than typical offerings on the market. The bank is organized around the core knowledge and key points of the EMC Associate - Data Science and Big Data Analytics v2 syllabus, every answer is expert-verified, and delivery is immediate after payment. Customers come first here, and the free demo lets you verify all of it before spending anything.
The EMC Associate - Data Science and Big Data Analytics v2 blueprint is built on these principal domains:
- Advanced Analytics for Big Data - Technology and Tools (22%)
- Initial Analysis of the Data (15%)
- Advanced Analytics - Theory, Application, and Interpretation of Results for Eight Methods (40%)
The official outline continues with additional domains — the question bank covers the full set.
EMC Associate - Data Science and Big Data Analytics v2 Sample Questions:
Question #1
Refer to the exhibit.
In association rules, for itemsets X and Y, which expression defines leverage?
Response:
- A. a
- B. d
- C. c
- D. b
Correct Answer: A 🗳️
Question #2
What is a core deliverable at the end of the analytic project?
Response:
- A. The training materials
- B. A presentation for project sponsors
- C. A whitepaper describing the project and the implementation
- D. An implemented database design
Correct Answer: B 🗳️
Question #3
A Data Scientist is assigned to build a model from a reporting data warehouse. The warehouse contains data collected from many sources and transformed through a complex, multi-stage ETL process.
What is a concern the data scientist should have about the data?
Response:
- A. It is too centralized
- B. It is not normalized
- C. It is not structured
- D. It is too processed
Correct Answer: D 🗳️
Question #4
Which activity is performed in the Operationalize phase of the Data Analytics Lifecycle?
Response:
- A. Try different analytical techniques
- B. Transform existing variables
- C. Try different variables
- D. Define the process to maintain the model
Correct Answer: A 🗳️
Question #5
What is the reason for using LOESS?
Response:
- A. Plots a continuous variable versus a discrete variable; comparing distributions across classes
- B. Significance test for the correlation between two variables
- C. Fits a smoothed curve to scatterplot data; providing a general idea of the data,s behavior
- D. Runs after a one-way ANOVA; determining which population has the highest mean value
Correct Answer: C 🗳️
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