• Dissing Hendrix posted an update 1 year, 10 months ago

    This certification enables the learner to right away engage in big data and other analytics projects. The certification validates the practical foundation skills essental to a knowledge Scientist.

    Dell EMC Data Science Associate Certification Requirements

    ? To complete the needs just for this Dell EMC Data Science Associate certification you have to:


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

    This Dell EMC Data Science Associate exam focuses on the method of data analytics, the function from the Data Scientist, the principle phases of the Data Analytics Lifecycle, analyzing and exploring data with R, statistics for model building and evaluation, the idea and methods of advanced analytics and statistical modeling, we have and tools you can use 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 gauge your knowledge in readiness for the exam. Practice tests permit you to understand the individuals and question types you will find on the proctored exam. Your results with a practice test offer one indication of how prepared you are to the proctored exam and may highlight topics which you need to study and train further. A passing score around the practice test doesn’t guarantee a passing score about the certification exam.

    Successful Career with Dell EMC DEA-7TT2 Certification:


    ? 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, and the Data Scientist Role (5%)

    0 Define and describe the characteristics of Big Data

    0 Describe the company drivers for Big Data analytics and data science

    0 Describe the Data Scientist role and related skills

    ? Data Analytics Lifecycle (8%)

    0 Describe your data analytics lifecycle purpose and sequence of phases

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

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

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

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

    ? Initial Research Data (15%)

    0 Explain how basic R commands are employed to initially explore and analyze the information

    0 Describe and supply samples of the most crucial statistical measures and effective visualizations of knowledge

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

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

    0 Describe theory, application, and interpretation of latest results for the following methods:

    ¦ K-means clustering

    ¦ Association rules

    ¦ Linear regression

    ¦ Logistic Regression

    ¦ Naive Bayesian classifiers

    ¦ Decision trees

    ¦ Time Series Analysis

    ¦ Text Analytics

    ? Advanced Analytics for Big Data – Technology and Tools (22%)

    0 Describe the technological challenges resulting 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 recommendations for communicating findings and operationalizing an analytics project

    0 Describe tips 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 throughout the exam.

    DEA-7TT2 Preparatory Ideas:


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

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