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EMC Data Science and Big Data Analytics : E20-007
Exam Code: E20-007
Exam Name: Data Science and Big Data Analytics
Updated: Oct 22, 2026
Q & A: 165 Questions and Answers
E20-007 Free Demo download
Study tools should disappear into the background. PassTorrent builds its EMC Data Science and Big Data Analytics platform around people, not features — so the 165 practice questions are all you notice.
EMC E20-007 Exam Overview:
| Certification Vendor: | Dell EMC |
|---|---|
| Exam Name: | Data Science and Big Data Analytics |
| Exam Number: | E20-007 |
| Available Languages: | English |
| Related Certifications: | Dell EMC Proven Professional Certifications Dell EMC Data Science Associate Certification |
| Exam Format: | Scenario-based Questions, Multiple Choice |
| Passing Score: | 60% |
| Exam Duration: | 90 minutes |
| Real Exam Qty: | 60-80 |
| Certificate Validity Period: | Typically 2 years (Dell EMC certification validity cycle) |
| Exam Price: | USD 200 (approx.) |
| Sample Questions: |  |
| Exam Way: | Online proctored exam via Pearson VUE or authorized testing centers |
| Pre Condition: | No formal prerequisites required, but basic knowledge of statistics and data concepts is recommended. |
EMC E20-007 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Ethics, Governance, and Business Applications | - Data privacy and ethical considerations - Data governance principles - Business use cases of data science |
| Data Visualization and Interpretation | - Communicating insights from data - Exploratory data analysis (EDA) - Data visualization techniques and tools |
| Machine Learning and Predictive Analytics | - Supervised and unsupervised learning concepts - Model evaluation and validation basics - Classification and regression techniques overview |
| Data Management and Processing | - Hadoop ecosystem overview (HDFS, MapReduce) - Data ingestion and data preparation techniques - Structured vs unstructured data handling |
| Statistical and Analytical Methods | - Descriptive statistics and probability basics - Data sampling and distributions - Inferential statistics fundamentals |
| Big Data and Data Science Fundamentals | - Big Data concepts and characteristics (Volume, Velocity, Variety) - Data Science lifecycle and methodologies - Roles and responsibilities in data science projects |
E20-007 FAQ: Read Before You Register
The EMC Data Science and Big Data Analytics blueprint divides into 6 domains — including Statistical and Analytical Methods, Big Data and Data Science Fundamentals, Ethics, Governance, and Business Applications. Those weights tell you where the points live; plan revision time in the same proportions. The full subtopic list appears above.
No formal prerequisites required, but basic knowledge of statistics and data concepts is recommended. Eligibility rules change occasionally, so confirm them on the official page before booking.
Yes — the free EMC Data Science and Big Data Analytics demo at PassTorrent shows real questions and answers before you pay. Every purchase includes 365 days of free updates, renewable later at 50% off.
The official format: 90 minutes, 60-80 questions. That ratio is the real challenge, so practice pacing — time-box each question, mark the stubborn ones, and run full simulations in the PassTorrent PC test engine until the clock stops being scary.
The EMC Data Science and Big Data Analytics is EMC's official exam for the Data Scientist credential (Associate level). In the job market it works as portable proof of skill — more interviews, better offers. It pairs naturally with Dell EMC Data Science Associate Certification, Dell EMC Proven Professional Certifications.
Two promises. Delivery: payment triggers an automatic email within a minute — instant download, unlimited devices, 24/7 help if nothing arrives within 2 hours. Refund: take the corresponding E20-007 exam within 60 days of purchase, and if you fail, send a scanned enrollment slip plus the official Score Report PDF within 2 days of the exam for a full refund, processed within 7 days. Excluded: exams within 3 days of purchase, candidate names that don't match the payer, and free or expired products. Prefer a swap? Exchange for two equal-value products free.
USD 200 (approx.) per attempt; 60% to pass. Since a retake bills the full fee again, rehearse with the 165 practice questions from PassTorrent until your mock scores clear the bar with room to spare.
EMC Data Science and Big Data Analytics Sample Questions:
Question #1
Before you build an ARMA model, how can you tell if your time series is weakly stationary?
- A. The mean of the series is close to 0.
- B. There appears to be a constant variance around a constant mean.
- C. There appears to be no apparent trend component.
- D. The series is normally distributed.
Correct Answer: B 🗳️
Question #2
You submit a MapReduce job to a Hadoop cluster and notice that although the job was successfully submitted, it is not completing. What should you do?
- A. Ensure that the JobTracker is running
- B. Ensure that a DataNode is running
- C. Ensure that the NameNode is running
- D. Ensure that the TaskTracker is running.
Correct Answer: D 🗳️
Question #3
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 tuple
X(1, 0, 0)
using Naive Bayesian classifier?
- A. Classification Y = 1,Probability = 4/54
- B. Classification Y = 1,Probability = 1/54
- C. Classification Y = 0,Probability = 1/54
- D. Classification Y = 0,Probability = 4/54
Correct Answer: D 🗳️
Question #4
You are analyzing data in order to build a classifier model. You discover non-linear data and discontinuities that will affect the model. Which analytical method would you recommend?
- A. Logistic Regression
- B. ARIMA
- C. Linear Regression
- D. Decision Trees
Correct Answer: D 🗳️
Question #5
In which lifecycle stage are appropriate analytical techniques determined?
- A. Model planning
- B. Discovery
- C. Model building
- D. Data preparation
Correct Answer: A 🗳️
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