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EMC DEA-7TT2 Exam covers a wide range of topics, including data science and analytics fundamentals, data exploration and visualization, data preparation, machine learning, big data technologies, and data science ethics. DEA-7TT2 exam consists of 60 questions, and candidates have 90 minutes to complete it. DEA-7TT2 exam is available in multiple languages, including English, Japanese, Simplified Chinese, and Korean.
The DEA-7TT2 exam consists of 60 multiple-choice questions that are designed to test the candidate's knowledge and understanding of the key concepts related to data science and big data analytics. DEA-7TT2 Exam is timed and candidates have 90 minutes to complete it. The passing score for the exam is 60%.
The EMC DEA-7TT2 exam tests the candidate's knowledge and skills in various areas such as data analysis, machine learning, statistical modeling, data visualization, and big data technologies. DEA-7TT2 exam consists of 60 multiple-choice questions, which must be completed within 90 minutes. DEA-7TT2 exam is available in English and Japanese languages.
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EMC Associate - Data Science and Big Data Analytics v2 Exam Sample Questions (Q46-Q51):
NEW QUESTION # 46
Which data asset is an example of semi-structured data?
Response:
- A. Database table
- B. Webserver log
- C. XML data file
- D. News article
Answer: C
NEW QUESTION # 47
You are using the Apriori algorithm to determine the likelihood that a person who owns a home has a good credit score. You have determined that the confidence for the rules used in the algorithm is > 75%. You calculate lift = 1.011 for the rule, "People with good credit are homeowners".
What can you determine from the lift calculation?
Response:
- A. The rule is true
- B. Support for the association is low
- C. The rule is coincidental
- D. Leverage of the rules is low
Answer: C
NEW QUESTION # 48
Which analytic technique would be appropriate to estimate blood pressure based on age and weight?
Response:
- A. K-means clustering
- B. Time series analysis
- C. Linear regression
- D. Naive Bayesian classification
Answer: C
NEW QUESTION # 49
Refer to the exhibit.
What provides the decision tree for predicting whether or not someone is a good or bad credit risk. What would be the assigned probability, p(good), of a single male with no known savings?
Response:
- A. 0.498
- B. 0
- C. 0.83
- D. 0.6
Answer: C
NEW QUESTION # 50
In a fitted ARIMA(1,2,3) model, how many differences are applied?
Response:
Answer: C
NEW QUESTION # 51
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