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

  • Exam Code: DEA-7TT2
  • Exam Name: Associate - Data Science and Big Data Analytics v2 Exam
  • Updated: Sep 13, 2026   Q&As: 233 Questions and Answers

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  • UK: Pounds £73,500

  • India: INR 5,60,000

  • United States: USD $103,000

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What are the prerequisites for Dell DEA-7TT2 Certification Exam?

There are no formal prerequisites for Dell EMC DEA-7TT2 exam. However, it's recommended that you have:

  • 6 months experience in the IT industry and knowledge of data science fundamentals

  • 3 months hands-on experience with data science tools

Reference: https://education.emc.com/content/dam/dell-emc/documents/en-us/DEA-7TT2_Associate-Data_Science_and_Big_Data_Analytics_v2_Exam.pdf

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Do You Have What It Takes To Pass The Dell DEA-7TT2 Certification Exam?

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The Dell DEA-7TT2 certification exam is the first step towards landing a great job in your field. You've probably heard about all the benefits that come from becoming certified, but how can you really prove that it's worth your time?

Take Your Time When Studying:

It's important to take your time when studying for any type of test or exam. This is especially true when it comes to taking an IT certification exam like the Dell DEA-7TT2. You'll want to make sure that all of your study materials are up-to-date, so don't wait until the last minute to start studying. Our Dell DEA-7TT2 exam dumps are updated.

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What is the worth of the DEA-7TT2 Associate - Data Science and Big Data Analytics v2 Certification Exam

The DEA-7TT2 Associate - Data Science and Big Data Analytics v2 certification will increase your visibility to the companies that are looking to hire you. The companies are assured that they will get the best employees who will always add value to their organization. With this certification, you have an edge over the other candidates who have not earned the certification. Dell DEA-7TT2 exam dumps will help you to earn your dreamed certification.

The DEA-7TT2 Associate - Data Science and Big Data Analytics v2 certification demonstrates that you are dedicated to your work. You have mastered all the concepts of data science and big data analytics, which ensures that you will be able to do your job well. The organization knows that they will not need to invest in training you after hiring you as you already know what is expected of you.

Having a DEA-7TT2 Associate - Data Science and Big Data Analytics v2 certification increases your chances of getting promotions, salary increments, and job security. This is because your employer knows that with this certification, you are capable of handling all kinds of projects and tasks, thus making it easy for them to promote or increase your salary without worrying whether you will be able to handle all the responsibilities associated with the new position or salary increment.

EMC DEA-7TT2 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Initial Analysis of the Data15%- Data exploration and statistical analysis
  • 1. Statistical measures and data visualization
  • 2. Basic R commands for data analysis
  • 3. Hypothesis testing and model evaluation
Topic 2: Big Data, Analytics, and the Data Scientist Role5%- Characteristics of Big Data
  • 1. Data Scientist role and related skills
  • 2. Business drivers for Big Data analytics and data science
Topic 3: Operationalizing an Analytics Project and Data Visualization Techniques10%- Analytics project deployment and visualization
  • 1. Building project presentations for audiences
  • 2. Planning and creating effective data visualizations
  • 3. Communicating findings and operationalizing analytics projects
Topic 4: Advanced Analytics - Theory, Application, and Interpretation of Results for Eight Methods40%- Advanced analytics methods
  • 1. K-means clustering
  • 2. Decision trees
  • 3. Naïve Bayesian classifiers
  • 4. Text Analytics
  • 5. Logistic regression
  • 6. Time Series Analysis
  • 7. Linear regression
  • 8. Association rules
Topic 5: Advanced Analytics for Big Data - Technology and Tools22%- Big Data technologies and analytics tools
  • 1. MapReduce and Apache Hadoop
  • 2. Advanced SQL methods and MADlib
  • 3. Big Data technology challenges
  • 4. In-database analytics and SQL essentials
  • 5. Hadoop ecosystem and product use cases
Topic 6: Data Analytics Lifecycle8%- Data Analytics Lifecycle phases
  • 1. Model building phase activities and roles
  • 2. Data preparation phase activities and roles
  • 3. Discovery phase activities and roles
  • 4. Model planning phase activities and roles

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