PDF Version DemoFrom your first practice question to exam day, Getcertkey covers the entire E20-065 journey: a free demo, 68 practice questions in three formats, a full year of free updates, and a clear refund policy. Preparing for the EMC Advanced Analytics Specialist Exam for Data Scientists exam has rarely been this straightforward.
EMC E20-065 Exam Overview:
| Certification Vendor: | Dell EMC |
|---|---|
| Exam Name: | Advanced Analytics Specialist Exam for Data Scientists |
| Exam Number: | E20-065 |
| Real Exam Qty: | 60-66 |
| Passing Score: | 63% |
| Available Languages: | English |
| Exam Duration: | 90 minutes |
| Related Certifications: | Dell EMC Data Science Associate (DELL-EMC E20-055) |
| Certificate Validity Period: | 2 years |
| Exam Price: | $200-$230 USD |
| Exam Format: | Multiple-choice, Scenario-based |
| Recommended Training: | Advanced Methods in Data Science and Big Data Analytics |
| Exam Registration: | Pearson VUE Registration |
| Sample Questions: |  |
| Exam Way: | Onsite at Pearson VUE test centers or online proctored |
| Pre Condition: | Recommended: Dell EMC Data Science Associate certification (E20-055) or equivalent knowledge; 6+ months hands-on data science experience |
| Official Syllabus URL: | https://www.dell.com/en-us/dt/certification/exam/e20-065.htm |
EMC E20-065 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: MapReduce and Hadoop Distributed File System | 15% | - YARN resource management - MapReduce framework architecture - HDFS components and operations |
| Topic 2: Natural Language Processing | 20% | - Sentiment analysis and information extraction - NLP fundamentals and ambiguity types - Text preprocessing techniques - Language modeling and feature extraction |
| Topic 3: Hadoop Ecosystem and NoSQL Databases | 15% | - Apache Pig and Hive - HBase, Cassandra, MongoDB - Apache Spark - NoSQL concepts and use cases |
| Topic 4: Social Network Analysis | 23% | - Graph theory fundamentals - Community detection algorithms - Network metrics and centrality measures - SNA tools and practical applications |
| Topic 5: Data Visualization | 12% | - Communicating analytical results - Choosing appropriate chart types - Multivariate data visualization - Visual perception principles |
| Topic 6: Data Science Theory and Methods | 15% | - Maximum Entropy modeling - CRISP-DM methodology - Statistical modeling and simulation - Classification algorithms: Random Forest, Logistic Regression |
Common Questions About the EMC E20-065 Exam
What is the EMC Advanced Analytics Specialist Exam for Data Scientists exam all about?
The E20-065 exam is the official Dell EMC exam behind the Advanced Analytics Specialist for Data Scientists certification, validating the skills measured by the EMC Advanced Analytics Specialist Exam for Data Scientists credential. It sits at the Specialist level of the Dell EMC certification program. It also connects to Dell EMC Data Science Associate (DELL-EMC E20-055), so the knowledge you build here carries over to those tracks as well.
How many questions are on the E20-065 exam, and how much time do I get?
The E20-065 exam contains 60-66 questions to be completed within 90 minutes. Before exam day, divide the available time by the question count to work out a comfortable per-question pace, and mark any item that eats into it so you can return later instead of getting stuck. Timed sessions in the Getcertkey test engines make that pacing automatic — run at least two full-length mock exams under the clock so time pressure never becomes the reason you drop points.
What score do I need to pass the E20-065 exam, and what does it cost?
The passing score for the E20-065 exam is 63%, and the official registration fee is $200-$230 USD. Retakes are not discounted — every new attempt means paying the full fee again — so it pays to measure yourself before you book. Work through the 68 practice questions on Getcertkey, sit a timed practice test, and schedule your exam only when your scores are consistently comfortable. That simple habit is the cheapest exam strategy there is.
Are there any prerequisites for the E20-065 exam?
Recommended: Dell EMC Data Science Associate certification (E20-055) or equivalent knowledge; 6+ months hands-on data science experience Requirements can change when Dell EMC revises its certification program, so confirm the current eligibility rules on the official exam page before you register.
How do I register for the E20-065 exam?
You can book the EMC Advanced Analytics Specialist Exam for Data Scientists exam through the official registration channels below:
As for delivery, the exam is offered in the following format: Onsite at Pearson VUE test centers or online proctored. Choose the option that suits you best when you book your seat.
What official training is recommended for the E20-065 exam?
Dell EMC recommends the following training resources for the EMC Advanced Analytics Specialist Exam for Data Scientists exam:
Official courses build the foundation; the 68 practice questions from Getcertkey then show you how that knowledge is examined, so the two work best together.
Can I try the E20-065 practice questions before I buy?
Yes. Getcertkey provides a free E20-065 PDF demo so you can review the question style and answer quality before purchasing. Every purchase also includes 365 days of free updates — if EMC revises the exam during that period, the updated material reaches you at no cost. Once the free-update year ends, you can extend your update service at a 50% discount.
What if I fail the E20-065 exam, and how is my order delivered?
Every EMC Advanced Analytics Specialist Exam for Data Scientists purchase on Getcertkey is covered by a 100% money-back guarantee with clear conditions: if you take the corresponding exam within 60 days of your purchase and do not pass, you can claim a full refund by submitting a scanned copy of your exam enrollment slip and your official score report as a PDF within two days of the exam date; claims are processed within seven days of submission. The guarantee does not apply to exams taken within three days of purchase, to material that was downloaded but never used in an exam attempt, or to free products and expired orders, and the candidate name must match the payer name. If you would rather not take a refund, you can instead exchange your purchase for two free exam preparation products of equal value and keep the update service on your original product.
Delivery is instant: your download is sent to your email within one minute of payment, with no limit on how many computers you may install the material on. If nothing arrives within two hours, check your spam folder and contact customer service for help.
What topics are covered in the E20-065 exam?
The EMC Advanced Analytics Specialist Exam for Data Scientists exam blueprint is organized into 6 domains. The first three are:
- Hadoop Ecosystem and NoSQL Databases — 15% of the exam
- Data Science Theory and Methods — 15% of the exam
- Social Network Analysis — 23% of the exam
For the complete domain-by-domain breakdown, scroll up to the full exam topics outline above and use it to plan how you distribute your study time.
EMC Advanced Analytics Specialist Exam for Data Scientists Sample Questions:
Question #1
What elements are needed to determine the time complexity of finding all the cliques of size k in social network analysis?
A. Clique size and total number of nodes in the network
B. Clique size and betweenness centrality
C. Eigenvector centrality and betwenness
D. Number of edges in the network and centrality measure of the cliques
Question #2
How does Latent Dinchlet Allocation (LDA) interpret a document?
A. As having a mixture of sentiments
B. As a single-predefined topic
C. As a mixture of pre-defined topics
D. As having a single pre-defined sentiment
Question #3
In which step in the visualization lifecycle would you determine how the raw data is stored?
A. Visualization Building
B. Data Preparation
C. Visualization Planning
D. Discovery
Question #4
What is a characteristic of the trigram language model?
A. Based on the second-order Markov process
B. Equivalent to trigram hidden Markov models
C. Can be used for part-of -speech tagging
D. Uses smoothing to reduce the high dimensionality in text
Question #5
Consider dataset that resides in HDFS. Which tool natively provides the capability to run a Random Forests model against this data?
A. HBase
B. Mahout
C. Pig
D. Hive
Solutions:
| Question #1 Correct Answer: A | Question #2 Correct Answer: C | Question #3 Correct Answer: B | Question #4 Correct Answer: A | Question #5 Correct Answer: B |
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