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 instantly participate in big data along with other analytics projects. The certification validates sensible foundation skills essential to an information Scientist.

Dell EMC Data Science Associate Certification Requirements

? To complete the needs because of this Dell EMC Data Science Associate certification you must:

Overview

This exam can be a qualifying exam for that Associate - Data Science (DECA- DS) track.


This Dell EMC Data Science Associate exam is targeted on the concept of data analytics, the role of the Data Scientist, the main phases with the Data Analytics Lifecycle, analyzing and exploring data with R, statistics for model building and evaluation, the speculation and methods of advanced analytics and statistical modeling, we've got the technology and tools that 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 knowing when preparing for the exam. Practice tests let you become familiar with the individuals and question types you'll find on the proctored exam. Your results on a practice test offer one indication of how prepared you are for your proctored exam and will highlight topics on what you should study and train further. A passing score about the practice test doesn't guarantee a passing score about 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: 90 Minutes

? DEA-7TT2 Exam Questions: 60

? DEA-7TT2 Exam Passing Score: 60

Dell EMC Data Science Associate Exam Topics

? Big Data, Analytics, as well as the Data Scientist Role (5%)

0 Define and describe the options of huge Data

0 Describe the organization drivers for Big Data analytics files 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 information on this phase, including activities and associated roles

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

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

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


? Initial Investigation Data (15%)

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

0 Describe and offer samples of the key statistical measures and effective visualizations of information

0 Describe the theory, process, and analysis of results for hypothesis testing as well as use in evaluating a model


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

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

¦ K-means clustering

¦ Association rules

¦ Linear regression

¦ Logistic Regression

¦ Naive Bayesian classifiers

¦ Decision trees

¦ Time Series Analysis

¦ Text Analytics


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

0 Describe the technological challenges caused from Big Data

0 Describe the nature and make use of 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 information Visualization Techniques (10%)

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

0 Describe recommendations for building project presentations for particular audiences

0 Describe recommendations for planning and creating effective data visualizations


The percentages after each topic above reflects the approximate distribution of the total question set through 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. Book the Proven Professional website regularly to the latest information.

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