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Big Data and Analytics (BCDS601) AKTU exam strategy

Focus on Unit 4 (Hadoop Ecosystem YARN NoSQL Spark Scala) and Unit 1 (Introduction to Big Data). Together they account for about 74 marks among all questions printed per paper. Unit 5 (Hadoop Ecosystem Frameworks Pig Hive HBase) is safest to skim if you're short on time.

Unit priority

  • Unit 4 (Hadoop Ecosystem YARN NoSQL Spark Scala) – Must Prepare, 40 marks avg. Unit 4 (Hadoop Ecosystem YARN NoSQL Spark Scala) averages 40 marks per paper — one of the heaviest units in this subject. NoSQL Databases has appeared in every paper analysed — these are must-dos. Must-do: Hadoop Ecosystem and YARN, NoSQL Databases, Apache Spark, MongoDB.
  • Unit 1 (Introduction to Big Data) – High Priority, 34 marks avg. Unit 1 (Introduction to Big Data) averages 34 marks per paper — one of the heaviest units in this subject. Big Data Introduction and Big Data Characteristics have appeared in every paper analysed — these are must-dos. Must-do: Big Data Introduction, Big Data Analytics, Big Data Characteristics, Big Data Security and Privacy.
  • Unit 3 (HDFS and Hadoop Environment) – High Priority, 32 marks avg. Unit 3 (HDFS and Hadoop Environment) averages 32 marks per paper — one of the heaviest units in this subject. HDFS Design and Concepts has appeared in every paper analysed — these are must-dos. Must-do: HDFS Design and Concepts, HDFS Read Write Operations.
  • Unit 2 (Hadoop and MapReduce) – Medium Priority, 28 marks avg. Unit 2 (Hadoop and MapReduce) averages 28 marks per paper — one of the heaviest units in this subject. Apache Hadoop and MapReduce Framework have appeared in every paper analysed — these are must-dos. Must-do: MapReduce Framework, Apache Hadoop.
  • Unit 5 (Hadoop Ecosystem Frameworks Pig Hive HBase) – Safe to Skim, 27 marks avg. Unit 5 (Hadoop Ecosystem Frameworks Pig Hive HBase) averages 27 marks per paper — one of the heaviest units in this subject. Apache Hive has appeared in every paper analysed — these are must-dos. Must-do: Apache Hive, Apache Pig, HBase.

Topics AKTU keeps repeating

  • Big Data Introduction: Asked in 5 out of 8 papers. If you prepare only one topic from its unit, make it this one.
  • Big Data Characteristics: Asked in 5 out of 8 papers. If you prepare only one topic from its unit, make it this one.

Short on time?

  • Among all units, Unit 5 (Hadoop Ecosystem Frameworks Pig Hive HBase) is the lowest priority at 27M avg. If you're running low on time, prioritize the top 3 units and give this one a quick read. But even here — Apache Hive, Apache Pig, HBase are high-repeat topics. Cover these at minimum to stay safe.

How the paper is marked

  • Section A: 7 questions × 2 marks = 14 marks. Short definition/concept questions from all 5 units. Prepare 2–3 key definitions per unit — this section is the easiest 14 marks you can secure.
  • Section B: Attempt any 3 of 5 questions × 7 marks = 21 marks. Choose the 3 questions from units you've prepared most. Don't attempt all 5 — pick your strongest 3 and write them well.
  • Section C: 5 OR-pairs × 7 marks = 35 marks. One pair per unit — you must attempt all 5. This is where the exam is won or lost. Focus your deep preparation on the top 3 priority units.

Exam-day tips

  • Start with Section A to build momentum — budget 15–20 minutes max for all 7 questions.
  • In Section B, Unit 4 (Hadoop Ecosystem YARN NoSQL Spark Scala) questions have the highest repeat rate — always attempt that one first.
  • For Section C OR-pairs, read both options before choosing — sometimes the 'b' option is simpler despite appearing longer.
  • If you've prepared the VERY LIKELY topics, you can comfortably score 50+ marks without touching any new topic on exam day.
  • This strategy is built on 8 past papers — the patterns here are highly reliable.