Double the results, half the effort — that's what direction does. ExamCost points your 2026 preparation at the EMC Associate - Data Science and Big Data Analytics v2 with 233 practice questions.
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 |
| Exam Format: | Multiple Choice |
| Passing Score: | 60% |
| Certificate Validity Period: | 2 years |
| Available Languages: | English |
| Real Exam Qty: | 60 |
| Exam Price: | $230 USD |
| Related Certifications: | Dell EMC Proven Professional - Data Science Associate (DECA-DS) |
| Recommended Training: | Data Science and Big Data Analytics v2 Course |
| Exam Registration: | Pearson VUE Registration |
| Sample Questions: |  |
| Exam Way: | Online proctored or Onsite at Pearson VUE test centers |
| Pre Condition: | Basic knowledge of statistics, programming (preferably R), and data management concepts; recommended 3+ months hands-on experience with data analytics projects or tools |
| Official Syllabus URL: | https://education.dell.com/learning/certification/exam/dea-7tt2-associate-data-science-and-big-data-analytics-v2 |
EMC DEA-7TT2 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Initial Analysis of the Data | 15% | - Statistical measures and data visualization - Basic R commands for data exploration - Hypothesis testing concepts and application |
| Advanced Analytics - Theory, Application, and Interpretation | 40% | - Association rules and time series analysis - Classification and clustering techniques - Model evaluation and validation methods - Unsupervised and supervised learning concepts - Linear and logistic regression |
| Data Analytics Lifecycle | 8% | - Model building phase activities and roles - Model planning phase activities and roles - Discovery phase activities and roles - Communicating results and operationalization - Purpose and phases of the lifecycle - Data preparation phase activities and roles |
| Operationalizing an Analytics Project and Data Visualization | 10% | - Visualization best practices and tools - Guidelines for communicating findings - Deployment and integration of models |
| Advanced Analytics for Big Data - Technology and Tools | 22% | - Hadoop ecosystem and its components - Spark and distributed processing frameworks - Advanced SQL: window functions, aggregates, MADlib - In-database analytics and SQL fundamentals |
| Big Data, Analytics, and the Data Scientist Role | 5% | - Characteristics of Big Data - Role and required skills of a Data Scientist - Business drivers for Big Data analytics |
DEA-7TT2 FAQ — Efficient Preparation Starts Here
Basic knowledge of statistics, programming (preferably R), and data management concepts; recommended 3+ months hands-on experience with data analytics projects or tools Eligibility rules do change, so confirm the current requirements on the official page (official DEA-7TT2 exam page) before booking.
90 minutes for 60 questions. Efficiency beats exhaustion: the ExamCost software version simulates the real test scene and scores your performance, so every practice hour moves you forward.
Yes:
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$230 USD per attempt, 60% to pass. Since a retake costs the full fee, prepare with direction: the 233 practice questions from ExamCost focus your effort where the exam points are.
The EMC Associate - Data Science and Big Data Analytics v2 is EMC's certification exam for Associate - Data Science and Big Data Analytics v2, at the Associate level. It validates applied skills employers hire for — a credential worth the effort. Related credentials include Dell EMC Proven Professional - Data Science Associate (DECA-DS).
The EMC Associate - Data Science and Big Data Analytics v2 blueprint covers 6 domains — including Initial Analysis of the Data (15%), Data Analytics Lifecycle (8%), Advanced Analytics - Theory, Application, and Interpretation (40%). The weightings are your efficiency map: heavy domains first. Every subtopic appears in the outline above.
Through the vendor's official registration channels:
The EMC Associate - Data Science and Big Data Analytics v2 is delivered Online proctored or Onsite at Pearson VUE test centers, so pick the arrangement that suits you when booking.
Yes — download the free EMC Associate - Data Science and Big Data Analytics v2 demo and judge the question quality before paying. Every purchase stays valid for 365 days with free updates throughout, renewable afterward at 50% off.
EMC Associate - Data Science and Big Data Analytics v2 Sample Questions:
Refer to the exhibit.
Click on the calculator icon in the upper left corner. An analyst is searching a corpus of documents for the topic "solid state disk".
In the Exhibit, Table A provides the inverse document frequency for each term across the corpus. Table B provides each term's frequency in four documents selected from corpus.
Which of the four documents is most relevant to the analyst's search?
Response:
- A. Document A
- B. Document C
- C. Document D
- D. Document B
Correct Answer: B 🗳️
You have used k-means clustering to classify behavior of 100, 000 customers for a retail store. You decide to use household income, age, gender and yearly purchase amount as measures. You have chosen to use 8 clusters and notice that 2 clusters only have 3 customers assigned.
What should you do?
Response:
- A. Identify additional measures to add to the analysis
- B. Decrease the number of measures used
- C. Decrease the number of clusters
- D. Increase the number of clusters
Correct Answer: C 🗳️
What describes a true property of Logistic Regression method?
Response:
- A. It handles missing values well.
- B. It works well with variables that affect the outcome in a discontinuous way.
- C. It works well with discrete variables that have many distinct values.
- D. It is robust with redundant variables and correlated variables.
Correct Answer: D 🗳️
Refer to the exhibit.
You have scored your Naive bayesian classifier model on a hold out test data for cross validation and determined the way the samples scored and tabluated them as shown in the exhibit.
What are the Precision and Recall rate of the model?
Response:
- A. Precision = 262/277 Recall = 262/288
- B. Precision = 277/262 Recall = 288/262
- C. Precision =262/288 Recall = 262/277
- D. Precision = 288/262 Recall = 277/262
Correct Answer: A 🗳️
In R, functions like plot() and hist() are known as what?
Response:
- A. generic methods
- B. generic functions
- C. virtual functions
- D. virtual methods
Correct Answer: D 🗳️
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