EMC : E20-007 Questions & Answers
Last Updated: Oct 07, 2026
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EMC E20-007 Exam Overview:
| Certification Vendor: | Dell EMC |
|---|---|
| Exam Name: | Data Science and Big Data Analytics |
| Exam Number: | E20-007 |
| Available Languages: | English |
| Passing Score: | 60% |
| Related Certifications: | Dell EMC Data Science Associate Certification Dell EMC Proven Professional Certifications |
| Exam Price: | USD 200 (approx.) |
| Certificate Validity Period: | Typically 2 years (Dell EMC certification validity cycle) |
| Exam Duration: | 90 minutes |
| Exam Format: | Multiple Choice, Scenario-based Questions |
| Real Exam Qty: | 60-80 |
| Sample Questions: | DOWNLOAD DEMO |
| 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 |
|---|---|
| Data Management and Processing | - Hadoop ecosystem overview (HDFS, MapReduce) - Data ingestion and data preparation techniques - Structured vs unstructured data handling |
| Statistical and Analytical Methods | - Inferential statistics fundamentals - Descriptive statistics and probability basics - Data sampling and distributions |
| Machine Learning and Predictive Analytics | - Classification and regression techniques overview - Model evaluation and validation basics - Supervised and unsupervised learning concepts |
| Big Data and Data Science Fundamentals | - Roles and responsibilities in data science projects - Data Science lifecycle and methodologies - Big Data concepts and characteristics (Volume, Velocity, Variety) |
| Data Visualization and Interpretation | - Data visualization techniques and tools - Communicating insights from data - Exploratory data analysis (EDA) |
| Ethics, Governance, and Business Applications | - Data governance principles - Business use cases of data science - Data privacy and ethical considerations |
EMC E20-007 Exam FAQ: Clear Answers, No Fluff
EMC Data Science and Big Data Analytics is an official Dell EMC exam, catalogued under the code E20-007. Passing it awards the Data Scientist certification at the Associate level. It also links to Dell EMC Data Science Associate Certification, Dell EMC Proven Professional Certifications, which broadens its career value. Qualifying exams exist to prove ability in a measurable way, and this one proves yours against the vendor's own standard.
EMC Data Science and Big Data Analytics gives you 60-80 questions and 90 minutes to answer them. Treat time as a resource to allocate, not a countdown to fear: rehearse full sessions in the ActualTorrent test engine, practice skipping and returning, and build the calm familiarity that lets your actual knowledge show up on exam day.
Passing EMC Data Science and Big Data Analytics takes 60%, and the official fee is USD 200 (approx.). Retakes cost the full USD 200 (approx.) again, which makes verified readiness the cheapest insurance there is. Track your ActualTorrent practice scores across sessions and book the exam only when clearing the requirement has become your baseline, not your best day.
No formal prerequisites required, but basic knowledge of statistics and data concepts is recommended.
Since vendor requirements are revised periodically, confirm the current conditions before registering.
Yes. ActualTorrent provides a free PDF demo of the EMC Data Science and Big Data Analytics material, so the product can earn your trust before it earns your money. After purchase, updates are free for 365 days, and once your product expires you can extend the update service at a 50% discount.
Your purchase carries a 100% money-back guarantee with defined conditions. Take the EMC Data Science and Big Data Analytics exam within 60 days of purchase; if you fail, you can claim a full refund, provided the exam matches your product. Attempts within 3 days of purchase are not eligible, and neither are downloaded-but-unused products, free materials, or expired orders; the candidate name must match the payer name. File with a scanned enrollment slip and the official Score Report PDF within 2 days of the exam, and claims are processed within 7 days. If you prefer, exchange instead: two other exam products of equal value, free, with the update service on your original purchase retained.
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The EMC Data Science and Big Data Analytics exam is divided into 6 domains. The most prominent are Big Data and Data Science Fundamentals, Machine Learning and Predictive Analytics, and Data Visualization and Interpretation. The complete outline is above on this page; candidates who know the map waste far less time getting to the destination.
EMC Data Science and Big Data Analytics Sample Questions:
Refer to the exhibit.
You have plotted the distribution of savings account sizes for your bank. How would you proceed, based on this distribution?
- A. The accounts of size greater than 2500 are rare,and probably outliers. Eliminate them from your future analysis.
- B. The data is extremely skewed,but looks bimodal; replot the data in the range 2,500-10,000 to be sure.
- C. The data is extremely skewed. Split your analysis into two cohorts: accounts less than 2500,and accounts greater than 2500
- D. The data is extremely skewed. Replot the data on a logarithmic scale to get a better sense of it.
Correct Answer: D 🗳️
You are provided four different datasets. Initial analysis on these datasets show that they have identical mean, variance and correlation values. What should your next step in the analysis be?
- A. Recalculate the descriptive statistics since they are unlikely to be identical for each dataset
- B. Select one of the four datasets and begin planning and building a model
- C. Visualize the data to further explore the characteristics of each data set
- D. Combine the data from all four of the datasets and begin planning and bulding a model
Correct Answer: C 🗳️
Refer to the exhibit.
You have created a density plot of purchase amounts from a retail website as shown. What should you do next?
- A. Recreate the plot using the barplot() function
- B. Recreate the density plot using a log normal distribution of the purchase amount data
- C. Use the rug() function to add elements to the plot
- D. Reduce the sample size of the purchase amount data used to create the plot
Correct Answer: B 🗳️
In MADlib what does MAD stand for?
- A. Machine Learning,Algorithms for Databases
- B. Modular,Accurate,Dependable
- C. Magnetic,Agile,Deep
- D. Mathematical Algorithms for Databases
Correct Answer: D 🗳️
Data visualization is used in the final presentation of an analytics project. For what else is this technique commonly used?
- A. Descriptive statistics
- B. Assessing data quality
- C. Model selection
- D. ETLT
Correct Answer: B 🗳️
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