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- Total Questions: 233
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Change begins with determination, but it succeeds with structure. If you are aiming at the EMC Associate - Data Science and Big Data Analytics v2 certification, ITCertMagic organizes the DEA-7TT2 exam content into 233+ Q&As with key knowledge points clearly underlined — the important material is already picked out for you.
EMC DEA-7TT2 Exam Overview:
| Certification Vendor: | Dell EMC |
|---|---|
| Exam Name: | Associate - Data Science and Big Data Analytics v2 Exam |
| Exam Number: | DEA-7TT2 |
| Real Exam Qty: | 60 |
| Related Certifications: | Dell EMC Proven Professional – Data Science Associate Specialist - Data Scientist, Advanced Analytics Version 1.0 |
| Exam Duration: | 90 minutes |
| Exam Format: | Multiple Choice |
| Available Languages: | English |
| Passing Score: | 60% |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Online proctored or test center exam via Pearson VUE |
| Pre Condition: | Recommended to have a strong quantitative background, understanding of statistics, experience with scripting languages such as Python, R, Java or Perl, and SQL knowledge. |
| Official Syllabus URL: | https://learning.dell.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 - Theory, Application, and Interpretation of Results for Eight Methods | 40% | - Advanced analytics methods
|
| Topic 2: Operationalizing an Analytics Project and Data Visualization Techniques | 10% | - Analytics project deployment and visualization
|
| Topic 3: Advanced Analytics for Big Data - Technology and Tools | 22% | - Big Data technologies and analytics tools
|
| Topic 4: Data Analytics Lifecycle | 8% | - Data Analytics Lifecycle phases
|
| Topic 5: Big Data, Analytics, and the Data Scientist Role | 5% | - Characteristics of Big Data
|
| Topic 6: Initial Analysis of the Data | 15% | - Data exploration and statistical analysis
|
DEA-7TT2 Exam FAQ: Clear Answers for Busy People
The official outline structures the DEA-7TT2 exam around weighted domains such as:
- Operationalizing an Analytics Project and Data Visualization Techniques (10%)
- Advanced Analytics - Theory, Application, and Interpretation of Results for Eight Methods (40%)
- Big Data, Analytics, and the Data Scientist Role (5%)
In the EMC Associate - Data Science and Big Data Analytics v2 materials at ITCertMagic, the key knowledge points within these domains are clearly underlined, so the heavy areas get the attention they deserve without extra digging.
Recommended to have a strong quantitative background, understanding of statistics, experience with scripting languages such as Python, R, Java or Perl, and SQL knowledge.
The DEA-7TT2 exam is the official assessment for the EMC Associate - Data Science and Big Data Analytics v2 certification from EMC. It measures how well you can apply the published exam objectives in realistic scenarios — and for professionals looking to change their current situation, the credential is one of the most concrete ways to demonstrate new, verifiable skills.
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The DEA-7TT2 exam contains 60 questions with a time allowance of 90 minutes minutes. Practicing complete timed sets is the reliable way to make that pace feel manageable on the day.
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EMC Associate - Data Science and Big Data Analytics v2 Sample Questions:
While having a discussion with your colleague, this person mentions that they want to perform K-means clustering on text file data stored in HDFS. Which tool would you recommend to this colleague?
Response:
- A. Sqoop
- B. Mahout
- C. HBase
- D. Scribe
Correct Answer: B 🗳️
Refer to the exhibit.
In the exhibit, the x-axis represents the derived probability of a borrower defaulting on a loan. Also in the exhibit, the pink represents borrowers that are known to have not defaulted on their loan, and the blue represents borrowers that are known to have defaulted on their loan.
Which analytical method could produce the probabilities needed to build this exhibit?
Response:
- A. Linear Regression
- B. Discriminant Analysis
- C. Association Rules
- D. Logistic Regression
Correct Answer: D 🗳️
What is the output format from the Map function of MapReduce?
Response:
- A. Unique key record and separate records of all possible values
- B. Binary representation of keys concatenated with structured data
- C. Compressed index
- D. Key-value pairs
Correct Answer: D 🗳️

Based on the graphic, what should be done to begin addressing chart junk?
Response:
- A. Reduce the font size in the axis
- B. Remove the vertical gridlines
- C. Remove the legend
Correct Answer: B 🗳️
A study was run to identify general dietary patterns among the residents of a small town. Twelve thousand people were surveyed and the data was subject to K-means clustering. In one of the iterations, there were six clusters formed with 38, 1560, 1799, 2560, 2893, and 3150 respondents.
What should be the next step in identifying optimal clusters?
Response:
- A. Remove 38 respondents because the 5 clusters seem to be well distributed
- B. Increase the number of clusters to see if the last cluster gets combined
- C. Multiply each variable by its standard deviation
- D. Decrease the number of clusters to see if the last cluster gets combined
Correct Answer: D 🗳️
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