Exam Name: Associate - Data Science and Big Data Analytics v2 Exam
Certification Provider: EMC
Corresponding Certification: Dell EMC Certification
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Updated: Aug 30, 2026
No. of Questions: 233 Questions & Answers with Testing Engine
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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 |
| Certificate Validity Period: | 2 years |
| Exam Format: | Multiple Choice |
| Related Certifications: | Dell EMC Proven Professional - Data Science Associate (DECA-DS) |
| Available Languages: | English |
| Passing Score: | 60% |
| Real Exam Qty: | 60 |
| Exam Duration: | 90 minutes |
| Exam Price: | $230 USD |
| Recommended Training: | Data Science and Big Data Analytics v2 Course |
| Exam Registration: | Pearson VUE Registration |
| Sample Questions: | DOWNLOAD DEMO |
| 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 |
|---|---|---|
| Topic 1: Big Data, Analytics, and the Data Scientist Role | 5% | - Role and required skills of a Data Scientist - Characteristics of Big Data - Business drivers for Big Data analytics |
| Topic 2: Initial Analysis of the Data | 15% | - Basic R commands for data exploration - Statistical measures and data visualization - Hypothesis testing concepts and application |
| Topic 3: Operationalizing an Analytics Project and Data Visualization | 10% | - Guidelines for communicating findings - Deployment and integration of models - Visualization best practices and tools |
| Topic 4: Advanced Analytics for Big Data - Technology and Tools | 22% | - Spark and distributed processing frameworks - In-database analytics and SQL fundamentals - Hadoop ecosystem and its components - Advanced SQL: window functions, aggregates, MADlib |
| Topic 5: Advanced Analytics - Theory, Application, and Interpretation | 40% | - Model evaluation and validation methods - Association rules and time series analysis - Unsupervised and supervised learning concepts - Classification and clustering techniques - Linear and logistic regression |
| Topic 6: Data Analytics Lifecycle | 8% | - Communicating results and operationalization - Data preparation phase activities and roles - Purpose and phases of the lifecycle - Model building phase activities and roles - Discovery phase activities and roles - Model planning phase activities and roles |
FAQs for EMC Associate - Data Science and Big Data Analytics v2 Candidates
The DEA-7TT2 exam leads to the Associate - Data Science and Big Data Analytics v2 certification from Dell EMC. It is positioned at the Associate level. The exam validates the knowledge and skills expected of candidates preparing for EMC Associate - Data Science and Big Data Analytics v2.
Related certifications include:
- Dell EMC Proven Professional - Data Science Associate (DECA-DS)
The DEA-7TT2 exam includes 60 questions and allows 90 minutes. Before test day, divide the available time by the number of questions in a timed practice set to establish a steady per-question pace. If a difficult item starts consuming too much time, mark it for review and move forward instead of losing momentum. A full timed practice session can help you decide when to move on, when to return, and how much buffer to reserve for a final check.
The passing score for DEA-7TT2 is 60%, and the official exam fee is $230 USD. Because a retake requires paying the exam fee again, use timed practice results as a readiness check before scheduling your next attempt. If your performance remains inconsistent, continue reviewing weak domains and repeat a timed session before booking the exam.
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 can change, so confirm the current requirements on the official exam page before registering.
You can register through the official channels listed below:
The available exam delivery method is Online proctored or Onsite at Pearson VUE test centers.
The official training options include:
After reviewing the recommended training, reinforce what you learned with Actual4dump's 233 practice questions for DEA-7TT2.
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If you purchase the corresponding DEA-7TT2 preparation material and do not pass that exam within 60 days of purchase, you may apply for a full refund under the 100% Money Back Guarantee. The request requires a scanned exam enrollment slip and the official Score Report PDF, submitted within two days after the exam. Eligible requests are processed within seven days.
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The current DEA-7TT2 outline is organized into 6 top-level domains. The first listed areas include:
- Big Data, Analytics, and the Data Scientist Role (5%)
- Advanced Analytics for Big Data - Technology and Tools (22%)
- Data Analytics Lifecycle (8%)
Review the Exam Topics section above for the complete outline and any nested subtopics.
EMC Associate - Data Science and Big Data Analytics v2 Sample Questions:
Question 1
Consider a database with 4 transactions:
Transaction 1: {cheese, bread, milk}
Transaction 2: {soda, bread, milk}
Transaction 3: {cheese, bread}
Transaction 4: {cheese, soda, juice}
You decide to run the association rules algorithm where minimum support is 50%. Which rule has a confidence at least 50%?
Response:
A. {cheese} => {bread}
B. {milk} => {soda}
C. {juice} => {cheese}
D. {soda} => {milk}
Question 2
A business colleague who is new to Hadoop approaches you with a question. The colleague wants to know the best approach to access their dat a. The colleague has previously worked extensively with SQL and databases.
Which query interface should be recommended?
Response:
A. HBase
B. Pig
C. Hive
D. Howl
Question 3
What is a good use case for logistic regression?
Response:
A. Predicting the outcome of an election
B. Predicting the income of a customer
C. Forecasting quarterly sales of a company
D. Predicting home sales prices in a city
Question 4
Which two analytical methods can be used for dealing with categorical variables with a large number of levels?
Response:
A. Linear Regression and Association Rules
B. Naive Bayesian and Linear Regression
C. Naive Bayesian and Decision Tree
D. Logistic Regression and ARMA
Question 5
What does a leaf node represent in a decision tree?
Response:
A. Root of the decision tree
B. Outcome of a test on a variable
C. Decision point on a variable
D. Assigned class label
Solutions:
| Question 1 Answer: A | Question 2 Answer: C | Question 3 Answer: A | Question 4 Answer: C | Question 5 Answer: D |
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