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EMC E20-007 Exam format are as follow
Format: Multiple choices, multiple answers
- Number of Questions: 60
- Length of Examination: 90 minutes
- Language: English
- Passing score: 60%
EMC E20-007 Exam advantages are as follow
- Develop your experience base and validate your skills to attract potential employers.
- Gain visibility of a wide range of features, functions and important activities to use in the workplace.
- Obtain a safe digital badge that you can attach to your social media profiles.
- Improve your earning potential to get higher salaries.
- Learn to perform practical and complex activities through laboratory, practice sessions, study and.
What is the enrollment procedure for the EMC E20-007 Exam
In order to apply for the EMC E20-007 Exam, You have to follow
Step 1: Visit to Dell EMC Exam Registration Step 2: Signup/Login to Dell account Step 3: Search for EMC E20-007 Certifications Exam Step 4: Select Date and Center of examination and confirm with payment value of $165
EMC E20-007 Exam Overview:
| Certification Vendor: | Dell EMC |
|---|---|
| Exam Name: | Data Science and Big Data Analytics |
| Exam Number: | E20-007 |
| Certificate Validity Period: | 3 years |
| Passing Score: | 60% |
| Available Languages: | English |
| Exam Format: | Multiple Choice, Multiple Response |
| Exam Price: | $165–$230 USD |
| Exam Duration: | 90 minutes |
| Related Certifications: | Data Scientist Specialist Advanced Analytics Specialist |
| Real Exam Qty: | 60 |
| Recommended Training: | Data Science and Big Data Analytics Course |
| Exam Registration: | Pearson VUE Registration Dell EMC Education Services |
| Sample Questions: | EMC E20-007 Sample Questions |
| Exam Way: | Online proctored or Onsite at Pearson VUE test centers |
| Pre Condition: | No formal prerequisites |
| Official Syllabus URL: | https://education.dellemc.com/content/dam/dell-emc/documents/en-us/E20-007_Data_Science_and_Big_Data_Analytics.pdf |
EMC E20-007 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Big Data Analytics and the Data Scientist Role | 7% | |
| Topic 2: Advanced Analytics for Big Data – Technology and Tools | 20% | |
| Topic 3: Operationalizing an Analytics Project and Data Visualization Techniques | 9% | |
| Topic 4: Advanced Analytics for Big Data – Theory and Methods | 40% | |
| Topic 5: Data Analytics Lifecycle | 9% | |
| Topic 6: Initial Analysis of the Data | 15% |
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