DEA-7TT2 Associate - Data Science and Big Data Analytics v2 Exam

DEA-7TT2 Associate - Data Science and Big Data Analytics v2 Exam



This certification enables the learner to right away engage in big data and other analytics projects. The certification validates sensible foundation skills essential to a Data Scientist.

Dell EMC Data Science Associate Certification Requirements

? To complete what's needed just for this Dell EMC Data Science Associate certification you have to:

Overview

This exam is really a qualifying exam for your Associate - Data Science (DECA- DS) track.


This Dell EMC Data Science Associate exam targets the method of data analytics, the part with the Data Scientist, the key phases in the Data Analytics Lifecycle, analyzing and exploring data with R, statistics for model building and evaluation, the theory and techniques of advanced analytics and statistical modeling, we now have and tools which can be used for advanced analytics, operationalizing an analytics project, and data visualization techniques. Successful candidates will reach the Dell EMC Proven Professional - Data Science Associate credential.


Dell Technologies provides free practice tests to evaluate your knowledge when preparing for your exam. Practice tests let you know more about the individuals and question types you will discover about the proctored exam. Your results on a practice test offer one symbol of how prepared you are for the proctored exam and may highlight topics on which you have to study and train further. A passing score about the practice test does not guarantee a passing score for the certification exam.


Successful Career with Dell EMC DEA-7TT2 Certification:

? https://dell-emc-exam-guide.blogspot.com/2019/07/successful-career-with-dell-emc-dea.html

? DEA-7TT2 Exam Duration: 1 hour 30 minutes

? DEA-7TT2 Exam Questions: 60

? DEA-7TT2 Exam Passing Score: 60

Dell EMC Data Science Associate Exam Topics

? Big Data, Analytics, and also the Data Scientist Role (5%)

0 Define and describe you will of Big Data

0 Describe the company drivers for large Data analytics and knowledge science

0 Describe the information Scientist role and related skills

? Data Analytics Lifecycle (8%)

0 Describe the information analytics lifecycle purpose and sequence of phases

0 Discovery - Describe specifics of this phase, including activities and associated roles

0 Data preparation - Describe information this phase, including activities and associated roles

0 Model planning - Describe information on this phase, including activities and associated roles

0 Model building - Describe information this phase, including activities and associated roles


? Initial Research into the Data (15%)

0 Explain how basic R commands are employed to initially explore and analyze your data

0 Describe and offer types of the most crucial statistical measures and effective visualizations of internet data

0 Describe the speculation, process, and analysis of latest results for hypothesis testing and its particular utilization in evaluating one particular


? Advanced Analytics - Theory, Application, and Interpretation of Most current listings for Eight Methods (40%)

0 Describe theory, application, and interpretation of recent results for the subsequent methods:

¦ K-means clustering

¦ Association rules

¦ Linear regression

¦ Logistic Regression

¦ Naive Bayesian classifiers

¦ Decision trees

¦ Time Series Analysis

¦ Text Analytics


? Advanced Analytics for large Data - Technology and Tools (22%)

0 Describe the technological challenges resulting from Big Data

0 Describe the type and use of MapReduce and Apache Hadoop

0 Describe the Hadoop ecosystem and related product use cases

0 Describe in-database analytics and SQL essentials

0 Describe advanced SQL methods: window functions, ordered

0 aggregates, and MADlib


? Operationalizing an Analytics Project and knowledge Visualization Techniques (10%)

0 Describe best practices for communicating findings and operationalizing an analytics project

0 Describe guidelines for building project presentations for specific audiences

0 Describe best practices for planning and creating effective data visualizations


The percentages after each topic above reflects the approximate distribution in the total question set throughout the exam.

DEA-7TT2 Preparatory Ideas:

? https://dea-7tt2-success-guide.tumblr.com/

The Proven Professional Program periodically updates exams to reflect technical currency and relevance. Booking the Proven Professional website regularly for the latest information.

For details about Dell EMC Data Science Associate Certification webpage: this site.

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