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EMC Data Science Specialist (E20-065): 108 Questions for Data Science Certification EMC E20-065 (Advanced Analytics) for real exam : Highest Number of Questions 

Data Science certification really needs a good and in depth knowledge of statistics cum BigData Hadoop as well as Apache Spark knowledge. It also require you to have good knowledge in like the Hadoop MapReduce, Hadoop Ecosystem, Natural Lanugage Processing , Social Network Analysis, , Data Science Therory and Methods, and finally Data Visualization. Successful candidates will achieve the EMC Proven Data Sceince Advanced Analytics Specialist credential. Hence to clear the real exam it realy needs very well preparation. So HadoopExam Learning Resources brings Data Science Certification Simulator with 108 Practice Questions, which can help you to prepare for this exam in lesser time. Practice - practice - practice! e EMC:DS E20-065 Exam Simulator offers you the opportunity to take 2 sample Exams before heading out for the real thing. Be ready to succeed on exam day! 

  • Training Access : No time constraint Anytime Access (Any future enhancements on training will be free)
  • Question Bank (Simulator) : Now you can have free updates for additional or updated Questions  anytime (Any future updates on same activation is free)
  • Hadoop Annual Subscription

Below are the Few Data Science Certification video Sessions (Watch it in full screen mode)

Module-1 : EMC Data Science Certification 


Module 2 : Data Science and Machine Learning

(EMC and Cloudera Certification)

If you are looking for Online Sample Questions than Click Here

Bullet Points How Practice Questions are updated (Never Outdated)

1. Almost all questions are covered for EMC DS E20-065 exam (Practice Questions).

2. Our expert regularly appear in  exam and Question Bank is updated.

3. All Practice Questions covering entire syllabus.

4. Always updated and correct/incorrect answers explanation. 

5. Record of 100% success ratio.

6. All possible similar exam questions are included in 108 Practice questions, so you would easily clear the exam in first attempt



This video shows how our exam simulator works

Exhaustive explanation to all required questions

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Today i have cleared CCA175 and Scored 9 out of 10 questions.....
 I have gone through all the CCA175 Questions and practice the code provided by HadoopExam.com  
 Thanks for your questions and code content. The content was excellent and it helped me a lot. 
 (Especially I have gone through all the Spark Professional training module as well)

 Thanks you sooo.. much 
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Package Name :  PACKEMCDS007065


1. EMC DS : E20:007 : Data Science Associate ($65/2900INR)
2. EMC DS : E20:065 : Data Science Specialist($65/2900INR)


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Package with 30% Discount (Includes Hadoop , Spark and HBase Trainings)


Package Name :  PACKEMCDSHDPSPRKHBASE5


1. EMC DS : E20:007 : Data Science Associate  ($65/2900INR)
2. EMC DS : E20:065 : Data Science Specialist ($65/2900INR)
3. Hadoop Professional Training with HandsOn Session($79/3900INR)
4. Apache Spark Professional Training with HandsOn Serssion ($75/3500INR)
5. HBase Professional Training($75/3500INR)

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Benefits/Features

Simulator Benefits Exam Syllabus
  •  2 Full length mock exams (108 Unique Questions)
  • Objective based Practice Tests
  • Exhaustive explanation with every or required question
  • 100% Syllabus covered: All exam objectives
  • 100% Unconditional test pass guarantee
  • Gain confidence and reduce study time
  • Learn to manage your exam time effectively
  • Confirm that you are improving with every simulation
  • Learn to apply effective "test taking strategies"
  • 108 highly advanced Data Science (EMC DS E20-065) exam questions.
  • Created by EMC DS E20-065 certifed professional
  • Detailed explanations for all required answers
  • Simulated EMC:DS E20-065 exam environment
  • Retake all exams as many times as you like
  • Based on the most current EMC:E20-065 Certification Guide
  • Free updates on same machine (No additional charge)

 

MapReduce (15%)
  1. MapReduce framework and its implementation in Hadoop
  2. Hadoop Distributed File System (HDFS)
  3. Yet Another Resource Negotiator (YARN)
Hadoop Ecosystem and NoSQL (15%)
  1. Pig
  2. Hive
  3. NoSQL
  4. HBase
  5. Spark
Natural Language Processing (NLP) (20%)
  1. NLP and the four main categories of ambiguity
  2. Text Preprocessing
  3. Language Modeling
Social Network Analysis (SNA) (23%)
  1. SNA and Graph Theory
  2. Communities
  3. Network Problems and SNA Tools
Data Science Theory and Methods (15%)
  1. Simulation
  2. Random Forests
  3. Multinomial Logistic Regression and Maximum Entropy
Data Visualization (12%)
  1. Perception and Visualization
  2. Visualization of Multivariate Data

Note : This product is tested only on Windows Operating System

* Please read faq section carefully.




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