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IBM C2030-136 Exam Sample Questions

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

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: 1

What are the stages to the IBM Big Data & Analytics Maturity Model?

  1. Novice, Builder. Leader, Master
  2. Initial, Repeatable, Defined, Managed, Optimizing
  3. Ad Hoc, Foundational, Competitive, Differentiating. Breakaway
  4. Descriptive Analytics, Diagnostic Analytics, Predictive Analytics, Prescriptive Analytics


Answer: C

Explanation:

Reference:

https://www.ibm.com/developerworks/community/blogs/bigdataanalytics/entry/big_data_analytics_maturity_model?lang=en

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Question: 1

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  2. Initial, Repeatable, Defined, Managed, Optimizing
  3. Ad Hoc, Foundational, Competitive, Differentiating. Breakaway
  4. Descriptive Analytics, Diagnostic Analytics, Predictive Analytics, Prescriptive Analytics


Answer: C

Explanation:

Reference:

https://www.ibm.com/developerworks/community/blogs/bigdataanalytics/entry/big_data_analytics_maturity_model?lang=en

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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

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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