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EMC E20-007 : Data Science and Big Data Analytics
- Exam Code: E20-007
- Exam Name: Data Science and Big Data Analytics
- Updated: Oct 18, 2026
- Q & A: 165 Questions and Answers
About EMC E20-007 Exam
Timed tests, performance marking, mistakes pointed out — really like the real test. The EMC Data Science and Big Data Analytics APP engine at Prep4away: 165 practice questions for the E20-007 exam in 2026.
EMC E20-007 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Advanced Analytics for Big Data – Theory and Methods | 40% | |
| Topic 2: Initial Analysis of the Data | 15% | |
| Topic 3: Advanced Analytics for Big Data – Technology and Tools | 20% | |
| Topic 4: Operationalizing an Analytics Project and Data Visualization Techniques | 9% | |
| Topic 5: Big Data Analytics and the Data Scientist Role | 7% | |
| Topic 6: Data Analytics Lifecycle | 9% |
E20-007 Exam FAQ — Clear the Nerves
The EMC Data Science and Big Data Analytics is EMC's certification exam for Data Scientist Associate (EMCDSA), at the Associate level. It's demanding enough to intimidate — timed practice is the cure. Related credentials include Data Scientist Specialist, Advanced Analytics Specialist.
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90 minutes for 60 questions. The Prep4away APP engine imitates the real test — set timed exams, mark performance, point out mistakes — so exam day feels rehearsed.
The EMC Data Science and Big Data Analytics blueprint spans 6 domains — including Advanced Analytics for Big Data – Theory and Methods (40%), Advanced Analytics for Big Data – Technology and Tools (20%), Big Data Analytics and the Data Scientist Role (7%). The complete outline above lists every subtopic; our IT staff keep the material aligned daily.
No formal prerequisites Eligibility rules change over time, so verify the current requirements on the official page (official E20-007 exam page) before registering.
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EMC Data Science and Big Data Analytics Sample Questions:
Question #1
Refer to the exhibit Consider the training data set shown in the exhibit. What are the classification (Y = 0 or 1) and the probability of the classification for the tupleX(0, 0, 1) using Naive Bayesian classifier?
- A. Classification Y = 1,Probability = 4/54
- B. Classification Y = 0,Probability = 1/54
- C. Classification Y = 1,Probability = 1/54
- D. Classification Y = 0,Probability = 4/54
Correct Answer: A 🗳️
Question #2
Since R factors are categorical variables, they are most closely related to which data classification level?
- A. ordinal
- B. interval
- C. nominal
- D. ratio
Correct Answer: C 🗳️
Question #3
You are building a logistic regression model to predict whether a tax filer will be audited within the next two years. Your training set population is 1000 filers. The audit rate in your training data is 4.2%. What is the sum of the probabilities that the model assigns to all the filers in your training set that have been audited?
- A. 0.42
- B. 0.042
- C. 4.2
- D. 42.0
Correct Answer: D 🗳️
Question #4
What is an appropriate data visualization to use in a presentation for an analyst audience?
- A. Pie chart
- B. ROC curve
- C. Stacked bar chart
- D. Area chart
Correct Answer: B 🗳️
Question #5
A data scientist wants to predict the probability of death from heart disease based on three risk factors: age, gender, and blood cholesterol level.
What is the most appropriate method for this project?
- A. Linear regression
- B. K-means clustering
- C. Logistic regression
- D. Apriori algorithm
Correct Answer: C 🗳️
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