CY-703 (C) · Data Engineering/Unsolved PYQ Paper
CY-703 (C) Data Engineering - Dec 2024 Question Paper
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Unit 17 Marksa1. a) Discuss the role of a data engineer in a data‑driven organization.
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Unit 17 Marksb1. b) Explain the five V's of data with suitable examples for each.
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Unit 17 Marksa2. a) Describe the data engineer's involvement in data‑driven decision‑making using a real‑world example.
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Unit 27 Marksb2. b) How modern data architecture on cloud platforms supports the processing and consumption of data.
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Unit 57 Marksa3. a) Compare ETL and ELT approaches in the context of data preparation.
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Unit 37 Marksb3. b) Write about the process of creating a scalable infrastructure for an organization with an example.
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Unit 27 Marksa4. a) Explain the role of Data Lake and Data Warehouse storage in modern data architecture.
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Unit 37 Marksb4. b) Discuss how big data processing frameworks contribute to handling large‑scale data processing.
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Unit 37 Marksa5. a) Discuss the key features of Apache Spark and its advantages over traditional MapReduce in terms of big data processing.
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Unit 37 Marksb5. b) Describe Amazon EMR and its role in simplifying big processing on the cloud.
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Unit 17 Marksa6. a) Discuss the key stages of the Machine Learning (ML).
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Unit 57 Marksb6. b) Explain how AWS SageMaker supports the development and deployment of machine learning models in a scalable manner.
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Unit 57 Marksa7. a) Explain the process of securing cloud storage with suitable diagrams.
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Unit 37 Marksb7. b) Describe the importance of pre-processing and feature engineering in developing an effective ML model.
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Unit 2OR Choice7 Marksa8. a) Modern Data Strategies
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Unit 3OR Choice7 Marksb8. b) Apache Hadoop
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Unit 4OR Choice7 Marksc8. c) Purpose-built data ingestion tools
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Unit 1OR Choice7 Marksd8. d) Data wrangling and Data Discovery
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