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EMC E20-065 latest dumps

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EMC E20-065 latest dumps

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  1. www.passcert.com Latest E20-065 exam dumps Advanced Analytics Specialist Exam for Data Scientists www.passcert.com : http://www.passcert.com/E20-065.html EMC E20-065 exam is very popular in EMC field, many EMC candidates choose this exam to add their credentials, There are many resource online to offering EMC latest E20-065 exam dumps, Through many good feedbacks, we conclude that Passcert can help you pass your test easily with EMC E20-065 exam latest dumps, Choose Passcert to get your EMC E20-065 certification. E20-065 exam service: Free update for ONE YEAR PDF and Software file Free demo download before purchasing 100% refund guarantee if failed EMC latest E20-065 exam dumps are available in pdf and Software format. This makes it very convenient for you to follow the course and study the exam whenever and wherever you want. The EMC latest E20-065 exam dumps follows the exact paper pattern and question type of the actual E20-065 certification exam. it lets you recreate the exact exam scenario, so you are armed with the correct information for the E20-065 certification exam. www.passcert.com

  2. The safer , easier way to help you pass any IT exams.  1.Given an input vector of features, a Random Forests model performs a classification task and ends in a tie. How does the model handle this outcome? A. The model will be rebuilt B. A winner is chosen at random C. The tree that caused the tie is discarded D. One more tree is added to the forest Answer: B 2.Which HDFS feature protects against user errors causing accidental loss of data? A. Encryption B. Replication C. Namenode federation D. Snapshots Answer: B 3.What process must address acoustic ambiguity in NLP? A. Part-of-speech tagging B. Word sense disambiguation C. Speech recognition D. Discourse Answer: C 4.A data engineer is asked to process several large datasets using MapReduce. Upon initial inspection the engineer realizes that there are complex interdependencies between the datasets. Why is this a problem? A. MapReduce works best on unstructured data B. There is no problem; MapReduce accommodates all the data C. MapReduce can only parse one file at a time. D. MapReduce is not ideal when the processing of one dataset depends on another. Answer: D 5.What is a characteristic of stop words? A. Used in term frequency analysis B. Include words such as "a", "an", and "the" C. Meaningful words requiring a parser to stop and examine them D. Don't occur often in text Answer: B www.passcert.com 2 / 2

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