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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:

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

Professional experts — and then other experts check their work. The DEA-7TT2 exam content is compiled by specialists deeply familiar with the real exam, who make the knowledge easy to understand and keep the descriptions vivid rather than dry. Before release, the materials go through repeated rounds of checking, and the key knowledge points are clearly underlined throughout. That two-layer process — written by experts, verified by experts — is what the quality of the ITCertMagic question bank rests on.

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
Reveal Solution  Discussion  0

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
Reveal Solution  Discussion  0

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
Reveal Solution  Discussion  0

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
Reveal Solution  Discussion  0

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
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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