Up-to-Date C2030-136 Exam Questions for Guaranteed Success

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IBM C2030-136 Exam Sample Questions

Question: 2

What is a use case example for the Transform Financial Processes business imperative?

  1. Portfolio optimization in the banking industry.
  2. Customer data monetization in the media and entertainment industry
  3. Distribution load forecasting and scheduling in the energy and utility industry
  4. Utilizing telematics to price risk and monitor exposure in the insurance industry.


Answer: D

Question: 3

Which statement is true when dealing with traditional and non-traditional data sources?

  1. Real time analytics is necessary to effectively leverage these data sources
  2. Traditional data sources are not included in the big data scope because it would require duplicate copies of the same data
  3. Big data tools and methodologies increase the scope, level of detail, or a time period of data that can be effectively analyzed.
  4. Traditional data sources are included in the big data scope only if they are correlated with new types of data collected from outside the enterprise


Answer: C

Explanation:

Reference:

http://www.infosys.com/cloud/resource-center/Documents/big-data-spectrum.pdf

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Question: 3

Which statement is true when dealing with traditional and non-traditional data sources?

  1. Real time analytics is necessary to effectively leverage these data sources
  2. Traditional data sources are not included in the big data scope because it would require duplicate copies of the same data
  3. Big data tools and methodologies increase the scope, level of detail, or a time period of data that can be effectively analyzed.
  4. Traditional data sources are included in the big data scope only if they are correlated with new types of data collected from outside the enterprise


Answer: C

Explanation:

Reference:

http://www.infosys.com/cloud/resource-center/Documents/big-data-spectrum.pdf

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Question: 2

What is a use case example for the Transform Financial Processes business imperative?

  1. Portfolio optimization in the banking industry.
  2. Customer data monetization in the media and entertainment industry
  3. Distribution load forecasting and scheduling in the energy and utility industry
  4. Utilizing telematics to price risk and monitor exposure in the insurance industry.


Answer: D

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Question: 2

What is a use case example for the Transform Financial Processes business imperative?

  1. Portfolio optimization in the banking industry.
  2. Customer data monetization in the media and entertainment industry
  3. Distribution load forecasting and scheduling in the energy and utility industry
  4. Utilizing telematics to price risk and monitor exposure in the insurance industry.


Answer: D

Question: 3

Which statement is true when dealing with traditional and non-traditional data sources?

  1. Real time analytics is necessary to effectively leverage these data sources
  2. Traditional data sources are not included in the big data scope because it would require duplicate copies of the same data
  3. Big data tools and methodologies increase the scope, level of detail, or a time period of data that can be effectively analyzed.
  4. Traditional data sources are included in the big data scope only if they are correlated with new types of data collected from outside the enterprise


Answer: C

Explanation:

Reference:

http://www.infosys.com/cloud/resource-center/Documents/big-data-spectrum.pdf

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