• Dissing Hendrix posted an update 2 years, 7 months ago

    This certification enables the learner to immediately be involved in big data and also other analytics projects. The certification validates the practical foundation skills essental to a Data Scientist.

    Dell EMC Data Science Associate Certification Requirements

    ? To complete certain requirements for this Dell EMC Data Science Associate certification you should:


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

    This Dell EMC Data Science Associate exam targets the technique of data analytics, the role from the Data Scientist, the principle phases with the Data Analytics Lifecycle, analyzing and exploring data with R, statistics for model building and evaluation, the thought and techniques of advanced analytics and statistical modeling, the technology and tools which you can use for advanced analytics, operationalizing an analytics project, information 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 in preparation for the exam. Practice tests let you become familiar with the individuals and question types you’ll find for the proctored exam. Your results on the practice test offer one indication of how prepared you happen to be to the proctored exam and can highlight topics on which you should study and train further. A passing score for the practice test won’t guarantee a passing score for the certification exam.

    Successful Career with Dell EMC DEA-7TT2 Certification:


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

    0 Define and describe the characteristics of Big Data

    0 Describe the business enterprise drivers for Big Data analytics and knowledge science

    0 Describe your data Scientist role and related skills

    ? Data Analytics Lifecycle (8%)

    0 Describe the info analytics lifecycle purpose and sequence of phases

    0 Discovery – Describe information this phase, including activities and associated roles

    0 Data preparation – Describe details of this phase, including activities and associated roles

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

    0 Model building – Describe specifics of this phase, including activities and associated roles

    ? Initial Investigation Data (15%)

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

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

    0 Describe the speculation, process, and analysis of results for hypothesis testing and its particular used in evaluating a single

    ? Advanced Analytics – Theory, Application, and Interpretation of Recent results for Eight Methods (40%)

    0 Describe theory, application, and interpretation of most current listings 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 posed by Big Data

    0 Describe the nature and employ 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 Data Visualization Techniques (10%)

    0 Describe recommendations for communicating findings and operationalizing an analytics project

    0 Describe best practices for building project presentations for particular audiences

    0 Describe guidelines for planning and creating effective data visualizations

    The percentages after each topic above reflects the approximate distribution with the total question set over the exam.

    DEA-7TT2 Preparatory Ideas:


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

    More information about
    DEA-7TT2 Associate – Data Science and Big Data Analytics v2 Exam you can check this useful web portal.