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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:
How long does it take to pass the Dell DEA-7TT2 Certification Exam?
According to the passing Score, duration & question for the Dell DEA-7TT2 Certification Exam is given below
Number of questions: 60
Passing scores: 71%
Duration: 90 minutes
Languages: English
Reference: https://education.emc.com/content/dam/dell-emc/documents/en-us/DEA-7TT2_Associate-Data_Science_and_Big_Data_Analytics_v2_Exam.pdf
EMC DEA-7TT2 Exam Syllabus Topics:
| Section | Weight | Objectives |
| Topic 1: Advanced Analytics for Big Data - Technology and Tools | 22% | - Big Data technologies and analytics tools
- 1. Hadoop ecosystem and product use cases
- 2. In-database analytics and SQL essentials
- 3. MapReduce and Apache Hadoop
- 4. Big Data technology challenges
- 5. Advanced SQL methods and MADlib
|
| Topic 2: Data Analytics Lifecycle | 8% | - Data Analytics Lifecycle phases
- 1. Model building phase activities and roles
- 2. Discovery phase activities and roles
- 3. Data preparation phase activities and roles
- 4. Model planning phase activities and roles
|
| Topic 3: Operationalizing an Analytics Project and Data Visualization Techniques | 10% | - Analytics project deployment and visualization
- 1. Communicating findings and operationalizing analytics projects
- 2. Planning and creating effective data visualizations
- 3. Building project presentations for audiences
|
| Topic 4: Initial Analysis of the Data | 15% | - 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 5: Advanced Analytics - Theory, Application, and Interpretation of Results for Eight Methods | 40% | - Advanced analytics methods
- 1. K-means clustering
- 2. Naïve Bayesian classifiers
- 3. Time Series Analysis
- 4. Decision trees
- 5. Linear regression
- 6. Logistic regression
- 7. Association rules
- 8. Text Analytics
|
| Topic 6: Big Data, Analytics, and the Data Scientist Role | 5% | - Characteristics of Big Data
- 1. Business drivers for Big Data analytics and data science
- 2. Data Scientist role and related skills
|