explicitClick to confirm you are 18+

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

yeararcher0Nov 29, 2019, 7:38:55 PM

This certification enables the learner to right away be involved in big data as well as other analytics projects. The certification validates wise foundation skills necessary for an information Scientist.
Dell EMC Data Science Associate Certification Requirements
? To complete what's needed with this Dell EMC Data Science Associate certification you have to:
This exam is really a qualifying exam to the Associate - Data Science (DECA- DS) track.

This Dell EMC Data Science Associate exam concentrates on the technique of data analytics, the function of the Data Scientist, the key phases from the Data Analytics Lifecycle, analyzing and exploring data with R, statistics for model building and evaluation, the idea and techniques of advanced analytics and statistical modeling, we have 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 readiness for the exam. Practice tests permit you to familiarize yourself with the individuals and question types you'll find about the proctored exam. Your results on the practice test offer one indication of how prepared you might be for that proctored exam and may highlight topics on what you'll want to study and train further. A passing score around the practice test will not guarantee a passing score around 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, along with the Data Scientist Role (5%)
0 Define and describe the characteristics of huge Data
0 Describe the business enterprise drivers for large Data analytics and knowledge science
0 Describe the information 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 information 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 used to initially explore and analyze the data
0 Describe and still provide types of the most crucial statistical measures and efficient visualizations of knowledge
0 Describe the theory, process, and analysis of results for hypothesis testing and its particular use within evaluating one particular

? Advanced Analytics - Theory, Application, and Interpretation of Results for Eight Methods (40%)
0 Describe theory, application, and interpretation of 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 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 recommendations 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 through the exam.
DEA-7TT2 Preparatory Ideas:
? https://dea-7tt2-success-guide.tumblr.com/
The Proven Professional Program periodically updates exams to mirror technical currency and relevance. Please check the Proven Professional website regularly for the latest information.

For details about Dell EMC Data Science Associate Certification please visit webpage: learn here.