JNTU
JNTU MCA 2018 BIG DATA ANALYTICS Previous Question Paper (January - 2018 - R15)
Note: This question paper contains two parts A and B. Part A is compulsory which carries 25 marks. Answer all questions in Part A. Part B consists of 5 Units. Answer any one full question from each unit. Each question carries 10 marks.
Part A
What are the elements of big data?
Answer
The elements of big data are commonly defined by the 5Vs:
- Volume: The massive scale of data generated from various sources.
- Velocity: The speed at which data is generated, collected, and processed.
- Variety: The diversity of data formats, including structured, semi-structured, and unstructured data.
- Veracity: The uncertainty, quality, or trustworthiness of the data.
- Value: The ability to transform massive datasets into actionable business insights.
Who are the participants of Analytics team?
Answer
An effective analytics team consists of several key roles:
- Business Analyst: Identifies business requirements and translates them into analytical problems.
- Data Scientist: Applies statistical methods, machine learning, and programming to extract insights.
- Data Engineer: Manages data pipelines, storage, and infrastructure to ensure data availability.
- Database Administrator (DBA): Maintains database performance, security, and integrity.
- Project Manager: Coordinates the project lifecycle, timelines, and stakeholder communication.
Illustrate Map reduce method.
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Explain HDFC.
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Name the types of applications for mobile analytics.
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Part B
Explain the term “Data Science”.
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Write short notes on:
Challenges in big data
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Open source analytics tools
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Detail on any two popular analytical tools.
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Give an account on:
Text analytics
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Analytical approaches
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Describe the architecture of HDFS.
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Explain:
Programming with Hbase
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Packages in Hadoop
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How Hadoop manages the resources and its applications?
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Explain about:
HDFC daemons
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YARN.
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Discuss on social media analytics.
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Write about:
Sentiment analysis
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Web data analysis
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