Updated: Sep 17, 2026
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Preparation guide to passing the Dell DEA-7TT2 Certification Exam in the first attempt
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Before attempting to pass the Dell DEA-7TT2 certification exam, please take a moment to read this article. Why? Because it can save you time and hassle - not only in your first attempt at taking the test, but also with each attempt thereafter.
If you are looking for a reasonable way to get started with the Dell DEA-7TT2 certification exam or just to pass it and earn the Dell DEA-7TT2 certifications, then this is the guide for you. It covers all the areas of the certification and has tips and tricks that will help you pass the Dell DEA-7TT2 exam dumps.
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| Certification Vendor: | Dell EMC |
|---|---|
| Exam Name: | Associate - Data Science and Big Data Analytics v2 Exam |
| Exam Number: | DEA-7TT2 |
| Exam Format: | Multiple Choice |
| Exam Duration: | 90 minutes |
| Passing Score: | 60% |
| Certificate Validity Period: | 2 years |
| Real Exam Qty: | 60 |
| Available Languages: | English |
| Exam Price: | $230 USD |
| Related Certifications: | Dell EMC Proven Professional - Data Science Associate (DECA-DS) |
| Recommended Training: | Data Science and Big Data Analytics v2 Course |
| Exam Registration: | Pearson VUE Registration |
| Sample Questions: | EMC DEA-7TT2 Sample Questions |
| Exam Way: | Online proctored or Onsite at Pearson VUE test centers |
| Pre Condition: | Basic knowledge of statistics, programming (preferably R), and data management concepts; recommended 3+ months hands-on experience with data analytics projects or tools |
| Official Syllabus URL: | https://education.dell.com/learning/certification/exam/dea-7tt2-associate-data-science-and-big-data-analytics-v2 |
The topics of the Dell DEA-7TT2 Certification Exam are following:
Initial Analysis of the Data (15%)
Big Data, Analytics, and the Data Scientist Role (5%)
Data Analytics Lifecycle (8%)
Advanced Analytics - Theory, Application, and Interpretation of Results for
Eight Methods (40%)
Operationalizing an Analytics Project and Data Visualization Techniques
Advanced Analytics for Big Data - Technology and Tools (22%)
(10%)
If you work in the information technology sector, you have probably heard a lot of people discussing their certifications. Since the beginning of IT certifications, the number of available certificates has been steadily rising. The Dell DEA-7TT2 certification exam is just one that you may want to consider. Let's take a closer look at what this certification entails. By looking at the different things that are covered by this certificate, you can make an informed decision about whether it is relevant to your career path. Dell DEA-7TT2 exam dumps will help you to get certified.
The Dell DEA-7TT2 certification has been developed to enhance individual skills and knowledge in Data Science and Big Data Analytics. The test will verify that the professionals have the ability to handle the complex tasks of Data Science and Big Data Analytics. It will also check if the candidates are well versed with the advanced features of Data Science and Big Data Analytics software. The certification program will ensure that the professionals associated with Dell services are highly qualified in design and implementation of data center systems.
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According to the passing Score, duration & question for the Dell DEA-7TT2 Certification Exam is given below
Duration: 90 minutes
Number of questions: 60
Passing scores: 71%
Languages: English
| Section | Weight | Objectives |
|---|---|---|
| Data Analytics Lifecycle | 8% | - Model planning phase activities and roles - Data preparation phase activities and roles - Discovery phase activities and roles - Communicating results and operationalization - Purpose and phases of the lifecycle - Model building phase activities and roles |
| Operationalizing an Analytics Project and Data Visualization | 10% | - Guidelines for communicating findings - Visualization best practices and tools - Deployment and integration of models |
| Advanced Analytics for Big Data - Technology and Tools | 22% | - Advanced SQL: window functions, aggregates, MADlib - In-database analytics and SQL fundamentals - Spark and distributed processing frameworks - Hadoop ecosystem and its components |
| Advanced Analytics - Theory, Application, and Interpretation | 40% | - Linear and logistic regression - Unsupervised and supervised learning concepts - Classification and clustering techniques - Association rules and time series analysis - Model evaluation and validation methods |
| Initial Analysis of the Data | 15% | - Statistical measures and data visualization - Basic R commands for data exploration - Hypothesis testing concepts and application |
| Big Data, Analytics, and the Data Scientist Role | 5% | - Business drivers for Big Data analytics - Characteristics of Big Data - Role and required skills of a Data Scientist |
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