AKTU MCA Big Data Important Questions
The questions AKTU asks again and again in Big Data, found by comparing every question in 4 previous year papers from 2021-22 to 2024-25 (subject codes KCA022).
Most repeated long questions
From Sections B and C (7 or 10 marks, depending on the year). Unit numbers come from Section C, where each question covers one unit.
- Describe the Hive Architecture with the help of a neat diagram.
- Explain the architecture of Hive with the help of a neat diagram.
- What do you mean by apache hive architecture? Explain hive installation.
- Explain the process to write the block in Hadoop.
- Illustrate the process of reading a block in Hadoop.
- Illustrate the rack awareness algorithm for writing the data in HDFS.
- Illustrate the rack awareness algorithm of HDFS used in writing the data.
- What are NoSQL databases? What are the different types of NoSQL databases?
- Compare the NoSQL databases with Relational databases. Describe the various types of NoSQL databases.
- What is Big data? Describe the main features of a big data in detail.
- Describe 5 v’s of data and big data features in detail.
Most repeated short questions (2 marks)
From Section A. Learn a crisp definition plus one example or line of explanation for each.
- Define Big Data.
- Define the term Big Data.
- Which type of data can be used for the Big Data?
- Discuss the execution modes of the Pig
- What are the 2 different modes of PIG.
Unit-wise questions from recent papers
Section C questions from the latest papers (2024-25 KCA022, 2023-24 KCA022, 2022-23 KCA022), sorted by unit. Use these to practise one unit at a time.
Unit 1
- Explain the concept of Big Data Analytics with its classification. (2024-25, KCA022)
- Discuss the role of Big Data in healthcare, highlighting its applications, benefits, and challenges with relevant examples. (2024-25, KCA022)
- Discuss the 5 Vs used in Big Data with the help of an example. (2023-24, KCA022)
- Illustrate the use of cloud computing to manage the data. (2023-24, KCA022)
- Analyze nature of data, and challenges of convolutional systems over intelligent data analysis? Also differentiate between analysis and reporting. (2022-23, KCA022)
- Describe 5 v’s of data and big data features in detail. (2022-23, KCA022)
Unit 2
- Describe the MapReduce framework in Big Data processing, explaining its working, key components. (2024-25, KCA022)
- Explain the different types of MapReduce jobs in Big Data. (2024-25, KCA022)
- Discuss the role of Hadoop Pipes in the map-reduce process. (2023-24, KCA022)
- Illustrate the map-reduce architecture with the help of a neat diagram. (2023-24, KCA022)
- Describe Apache Hadoop, Hadoop streaming, and Hadoop pipes. (2022-23, KCA022)
- Explain how does map reduce works. Also explain unit tests with MR unit, test data and local tests. (2022-23, KCA022)
Unit 3
- Illustrate the components of the Hadoop Distributed File System and key features. (2024-25, KCA022)
- Explain the process to write the block in Hadoop. (2024-25, KCA022)
- Illustrate the rack awareness algorithm for writing the data in HDFS. (2023-24, KCA022)
- Illustrate the process of reading a block in Hadoop. (2023-24, KCA022)
- Explain the procedure of setting up a Hadoop cluster, cluster specification, cluster setup and installation. (2022-23, KCA022)
- Define data ingest with flume and scoop. Also, explain the concept of Hadoop in the cloud. (2022-23, KCA022)
Unit 4
- Explain the architecture and working of YARN highlighting its advantages. (2024-25, KCA022)
- Explain the key features of Scala, its benefits, and its applications in Big Data processing. (2024-25, KCA022)
- Explain the components of features and components of Apache Spark. (2023-24, KCA022)
- Discuss the role of MapReduce in Hadoop. Give the comparison between MapReduce V1 and V2. (2023-24, KCA022)
- What are spark applications and how to install spark. (2022-23, KCA022)
- Describe inheritance, functions and closures concept of scale. (2022-23, KCA022)
Unit 5
- Describe the key features of Apache Pig, its architecture, and its advantages in simplifying Big Data processing. (2024-25, KCA022)
- Explain the architecture of Hive with the help of a neat diagram. (2024-25, KCA022)
- Describe the Hive Architecture with the help of a neat diagram. (2023-24, KCA022)
- Discuss the requirements and architecture of zookeeper. (2023-24, KCA022)
- What do you mean by apache hive architecture? Explain hive installation. (2022-23, KCA022)
- What do you mean by infosphere, BigInsights and big sheets? (2022-23, KCA022)
Papers used for this list
- AKTU Big Data (KCA022) question paper 2024-25
- AKTU Big Data (KCA022) question paper 2023-24
- AKTU Big Data (KCA022) question paper 2022-23
- AKTU Big Data (KCA022) question paper 2021-22
How to use these questions
- Start with the questions asked in the most papers, and make short notes for each.
- Write 2–3 long answers by hand with a timer (about 12–15 minutes each), then compare them with your textbook.
- Revise all the 2-mark questions the night before the exam.
- Finish with one full paper from the list above, timed.
Full plan with AI prompts: How to prepare for AKTU exams using previous year papers. After results, check your marks with the AKTU CGPA calculator.
Frequently asked questions
Are these AKTU Big Data questions guaranteed to come in the exam?
No. They are the questions that repeated most in past papers, which makes them a strong hint, but AKTU can ask anything from the syllabus. Use this list to prioritise, not to skip units.
How was this important questions list made?
We compared all 100 questions from 4 AKTU Big Data papers (2021-22 to 2024-25) and grouped questions that ask about the same topic, then counted how many papers each appeared in.
Where can I download AKTU Big Data previous year papers?
Every paper used here is on LearnAIFast with all questions as text and a link to the original PDF. See the list of papers above.
More subjects: all AKTU important questions · all question papers