Using DEA-7TT2 Accurate Answers - Say Goodbye to Associate - Data Science and Big Data Analytics v2 Exam
Using DEA-7TT2 Accurate Answers - Say Goodbye to Associate - Data Science and Big Data Analytics v2 Exam
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EMC DEA-7TT2 (Associate - Data Science and Big Data Analytics v2) Exam is a comprehensive exam that certifies an individual's knowledge and skills in data science and big data analytics. DEA-7TT2 exam is part of the EMC Proven Professional program, which is a well-respected certification program that offers a wide range of examinations in the field of information technology. DEA-7TT2 exam is designed for individuals who are interested in pursuing a career in data science, big data analytics, or other related fields.
EMC DEA-7TT2 (Associate - Data Science and Big Data Analytics v2) Certification Exam is designed for individuals who want to demonstrate their knowledge and skills in the field of big data analytics. This is a vendor-neutral certification that is recognized globally and is designed to measure the candidate’s ability to design, implement, and manage big data solutions.
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EMC Associate - Data Science and Big Data Analytics v2 Exam Sample Questions (Q44-Q49):
NEW QUESTION # 44
Refer to the Exhibit.
You are going into a meeting where you anticipate your manager will have a question on your dataset. Specifically, your manager will want to know about customers that are classified as renters with a good credit status. In order to prepare for the meeting, you create a rule: RENTER => GOOD CREDIT.
What is the confidence of this rule?
Response:
- A. 18%
- B. 73%
- C. 63%
- D. 41%
Answer: C
NEW QUESTION # 45
Consider the following itemsets:
(hat, scarf, coat)
(hat, scarf, coat, gloves)
(hat, scarf, gloves)
(hat, gloves)
(scarf, coat, gloves)
If the minimum support is 50%, what represents the complete list of frequent 2-itemsets?
Response:
- A. (hat, scarf), (hat, gloves), (scarf, gloves), (scarf, coat)
- B. (hat, scarf), (scarf, coat), (coat, gloves)
- C. (scarf, gloves), (scarf, coat) (hat, gloves)
- D. (hat, scarf), (hat, gloves)
Answer: A
NEW QUESTION # 46
You are using MADlib for Linear Regression analysis. Which value does the statement return?
SELECT (linregr(depvar, indepvar)).r2 FROM zeta1;
Response:
- A. Standard error
- B. Goodness of fit
- C. P-value
- D. Coefficients
Answer: B
NEW QUESTION # 47
What describes the data repository represented by the 'A' in MAD?
Response:
- A. Centrally managed and based on long-range, careful design, planning and governance
- B. Allows analysts to easily ingest, digest, produce, and adapt data at a rapid pace
- C. Enables analysts to study very large datasets without being limited to samples and extracts
- D. Attracts all data sources that occur within an organization, regardless of data quality
Answer: B
NEW QUESTION # 48
A data scientist wants to predict the probability of death from heart disease based on three risk factors: age, gender, and blood cholesterol level. What is the most appropriate method for this project?
Response:
- A. Apriori algorithm
- B. K-means clustering
- C. Linear regression
- D. Logistic regression
Answer: D
NEW QUESTION # 49
......
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