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[Mar-2025] EMC DEA-7TT2 Exam Practice Test Questions – ExamCost

Updated Certification Exam DEA-7TT2 Dumps – Practice Test Questions

EMC DEA-7TT2: Associate – Data Science and Big Data Analytics v2 is an industry-recognized certification exam designed for individuals who wish to demonstrate their skills in the field of data science and big data analytics. DEA-7TT2 exam is created by the EMC Corporation, a leading provider of IT solutions and services worldwide. Passing DEA-7TT2 exam demonstrates that the candidate has the necessary skills to work with big data and extract valuable insights from it.

The EMC DEA-7TT2 exam covers a broad range of topics, including big data concepts and techniques, data handling and processing techniques, data analytics tools, and data visualization techniques. It also covers machine learning, neural networks, statistical learning, and deep learning. Candidates must have a good understanding of statistics, mathematics, and computer science to pass DEA-7TT2 exam.

 

NO.65 Refer to the Exhibit.

In the Exhibit, the table shows the values for the input Boolean attributes “A”, “B”, and “C”. It also shows the values for the output attribute “class”. Which decision tree is valid for the data?
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NO.66 If distributed Item-based Collaborative Filtering is an algorithm supported by Mahout, what is the use case category of the algorithm?
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NO.67 In naive Bayes implementations, how is the possibility of zero probabilities resulting from unobserved attribute/classifier pairs properly handled?
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NO.68 Refer to the Exhibit.

In the Exhibit. For effective visualization, what is the chart’s primary flaw?
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NO.69 What are the characteristics of Big Data?
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NO.70 You have been assigned to do a study of the daily revenue effect of a pricing model of online transactions. When have you completed the analytics lifecycle?
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NO.71 How are window functions different from regular aggregate functions?
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NO.72 Which of the following is an example of quasi-structured data?
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NO.73 For which class of problem is Map Reduce most suitable?
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NO.74 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?
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NO.75 What provides an extensive library of algorithm building tools to be used with the Hadoop ecosystem?
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NO.76 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?
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NO.77 Which SQL OLAP extension provides all possible grouping combinations?
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NO.78 Why do the Naive Bayesian classifier implementations use the log of probability value rather than the pure probability value?
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NO.79 You have an automotive database containing numeric characteristics such as engine size, horsepower, and top speed. Which technique could you use to group similar cars together?
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