Mid terms IMPs for BDA GTU IT Semester 6
- Ishita Raikar
- Mar 30
- 1 min read
BDA (Big Data Analytics) focuses on handling, processing, and analyzing massive datasets using advanced tools and techniques. It enables data-driven decision-making through machine learning, distributed computing, and predictive analytics.
Out of 30+ question banks, here are the top 10 questions from all the modules👇. (For additional resources, be sure to check out the website.)
How Big Data Analytics can be useful in the development of smart cities.
Explain characteristics of Big Data.
What are the advantages of Hadoop? Explain Hadoop Architecture and its Components with proper diagrams.
Draw and explain HDFS Architecture. Explain the function of NameNode and DataNode. What is a Secondary Namenode? Is it a substitute for the Namenode?
Explain Metastore in Hive.
What is data serialization? With proper examples, discuss and differentiate structured, unstructured, and semi-structured data.
What is RDD? Explain transformations and actions in RDD.
What is NoSQL? List out the features of NoSQL. Explain types of NoSQL databases in brief.
Explain CRUD operations in MongoDB.
Explain Five P’s of Big Data in brief.
These important questions are your guide—study them well, practice consistently, and approach your exams with confidence. Success follows preparation!!
For answers, check out the new BH website!! Plus, here are all the other resources BH has to offer:
Bh.Papers-Highly Analyzed Past Year Question Papers
Bh.How to Pass- IMP plans to clean a subject
Bh.Questionbanks-IMP* Questions per module
Bh.Solutions (soon)-Past Paper’s Solutions
Bh.Notes-Q/A format module wise notes
Bh.Library-References and Textbooks
Bh.VIVAs-Q/A format VIVA/Oral Kit
Bh.Sample Papers-IMPs for mid terms & unit tests
Keep learning, keep growing with BrainHeaters!!
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