DEA-7TT2 Associate - Data Science and Big Data Analytics v2 Exam
This certification enables the learner to right away participate in big data and also other analytics projects. The certification validates the sensible foundation skills essental 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 need to:
This exam is often a qualifying exam for the Associate - Data Science (DECA- DS) track.
This Dell EMC Data Science Associate exam targets the method of data analytics, the function with the Data Scientist, the principle phases from 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 can be used for advanced analytics, operationalizing an analytics project, and data visualization techniques. Successful candidates will attain the Dell EMC Proven Professional - Data Science Associate credential.
Dell Technologies provides free practice tests to assess your understanding in readiness to the exam. Practice tests let you familiarize yourself with the themes and question types you will find about the proctored exam. Your results on the practice test offer one indication of how prepared you are for the proctored exam and can highlight topics on what you'll want to study and train further. A passing score around the practice test does not guarantee a passing score about 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, along with the Data Scientist Role (5%)
0 Define and describe the characteristics of Big Data
0 Describe the organization drivers for giant Data analytics and knowledge science
0 Describe your data Scientist role and related skills
? Data Analytics Lifecycle (8%)
0 Describe the data analytics lifecycle purpose and sequence of phases
0 Discovery - Describe specifics of this phase, including activities and associated roles
0 Data preparation - Describe information on this phase, including activities and associated roles
0 Model planning - Describe specifics of 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 employed to initially explore and analyze the data
0 Describe and offer types of the most crucial statistical measures and efficient visualizations of data
0 Describe the thought, process, and analysis of recent results for hypothesis testing and its 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 latest 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 large Data - Technology and Tools (22%)
0 Describe the technological challenges presented by Big Data
0 Describe the 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 information Visualization Techniques (10%)
0 Describe guidelines for communicating findings and operationalizing an analytics project
0 Describe best practices 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 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. Book the Proven Professional website regularly to the latest information.
For more details about EMC Data Science Associate Practice Exam site: check here.