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Candidates who successfully pass the EMC DEA-7TT2 exam will be able to demonstrate their ability to use big data analytics tools and techniques to help organizations make data-driven decisions. Associate - Data Science and Big Data Analytics v2 Exam certification is widely recognized in the industry, and candidates who obtain it can expect to be in high demand by employers seeking professionals with in-demand data analytics skills.
EMC DEA-7TT2 (Associate - Data Science and Big Data Analytics v2) exam is designed to evaluate the skills of candidates in the field of data science and big data analytics. Associate - Data Science and Big Data Analytics v2 Exam certification validates the knowledge and expertise of the candidates in the areas of data wrangling, data visualization, statistics, machine learning, and big data technologies. DEA-7TT2 Exam is a 90-minute online test consisting of 60 questions. Candidates who pass the exam are awarded the EMC Associate-level certification in Data Science and Big Data Analytics.
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EMC DEA-7TT2 (Associate - Data Science and Big Data Analytics v2) Exam is a certification exam that focuses on the essential skills and knowledge required to become a data scientist or big data analytics professional. DEA-7TT2 exam is designed to test the candidate's ability to work with data sets, perform data analysis, and use big data tools and technologies. The EMC DEA-7TT2 Exam is widely recognized in the industry and is an excellent way to showcase your skills and knowledge in the field of data science and big data analytics.
EMC Associate - Data Science and Big Data Analytics v2 Exam Sample Questions (Q67-Q72):
NEW QUESTION # 67
Which activity is performed in the Operationalize phase of the data analytics lifecycle?
Response:
- A. Try different analytical techniques
- B. Transform existing variables
- C. Assess the benefits
- D. Try different variables
Answer: C
NEW QUESTION # 68
Refer to the exhibit.
In the exhibit, a correlogram is provided based on an autocorrelation analysis of a sample dataset. What can you conclude from only this exhibit?
Response:
- A. There is significant autocorrelation through lag 3
- B. Differencing is required before proceeding with any analysis
- C. There is no structure left to model in the data
- D. Lag 7 has a significant negative autocorrelation
Answer: A
NEW QUESTION # 69
Refer to exhibit.
You are asked to write a report on how specific variables impact your client's sales using a data set provided to you by the client. The data includes 15 variables that the client views as directly related to sales, and you are restricted to these variables only.
After a preliminary analysis of the data, the following findings were made:
1. Multicollinearity is not an issue among the variables
2. Only three variables A, B, and C have significant correlation with sales You build a linear regression model on the dependent variable of sales with the independent variables of A, B, and C. The results of the regression are seen in the exhibit. You cannot request additional data.
What is a way that you could try to increase the R2 of the model without artificially inflating it?
Response:
- A. Create clusters based on the data and use them as model inputs
- B. Force all 15 variables into the model as independent variables
- C. Break variables A, B, and C into their own univariate models
- D. Create interaction variables based only on variables A, B, and C
Answer: A
NEW QUESTION # 70
What is a core deliverable at the end of the analytic project?
Response:
- A. A presentation for project sponsors
- B. A whitepaper describing the project and the implementation
- C. An implemented database design
- D. The training materials
Answer: A
NEW QUESTION # 71
Since R factors are categorical variables, they are most closely related to which data classification level?
Response:
- A. nominal
- B. ordinal
- C. ratio
- D. interval
Answer: A
NEW QUESTION # 72
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