JNTU
JNTU B.Tech IV Year BIG DATA ANALYTICS Previous Question Paper (November/December - 2018 - R15)
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 and may have a, b, c as sub questions.
Part A
Discuss some preferred tools used for effective data management strategy and decision making?
Answer
Preferred tools for effective data management and decision-making include Apache Hadoop for distributed storage and processing, Tableau or Power BI for data visualization and business intelligence, and SQL-based data warehouses like Snowflake or Amazon Redshift for structured data analysis.
What internal procedures impact on when and how data are delivered?
Answer
Internal procedures impacting data delivery include data governance policies that dictate access and compliance, ETL (Extract, Transform, Load) scheduling which determines latency, and data quality assurance protocols that ensure data integrity before delivery to end-users.
Draw and discuss the architecture of Hive in brief.
Answer
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What is Spark Unified Stack? Explain using an example.
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Why there a sudden requirement for Big Data Analytics today? Explain.
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What are the different ways of constructing version stamps? Explain their advantages and disadvantages.
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State the relationship between the regression coefficient and correlation coefficient.
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State the formulae for the constant term and coefficient in the regression equation.
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Draw two example parallel coordinate plots: The first showing positive correlation and the second showing negative correlation.
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How to prepare the data for visualization using Tableau tool? Explain.
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Part B
How does Rackspace implement controls for the physical security and environmental resilience of the underlying hardware? Explain with a suitable example.
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Describe issues regarding preprocessing of data for classification and prediction. Also explain the process of communication between data providers and data consumers.
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Explain Map-reduce framework in detail. Draw the architectural diagram for Physical Organization of Compute Nodes.
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What is Spark? State the advantages of using Apache Spark over Hadoop MapReduce for big data processing with example.
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Explain the points to Consider during Data Analysis in detail. What are steps to follow while developing an Analytic Team? Explain.
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How is Report comparisons and analysis done by a developing team? Explain different types of Analytics.
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How is a random sample selected? Explain complex random sampling designs.
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With the help of a block diagram explain the probably approximately correct (PAC) Learning model.
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Define the concept of a stream surface. Describe a simple method for the generation of a stream surface represented as a triangle mesh.
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What are the three most important mappings for visualization of a 2D scalar field d(x,y)? Give for each mapping a mapping function which defines the relation between the data values and the visual parameters.
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