BSc Data Science SEM V 2023 2024 Jan 2024 DS DATA ENGINEERING Question Paper - Mumbai University | munotes

Questions asked in this paper

1. Q1 Attempt any Three of the following: 15 marks
   • a. How has the role of a data engineer changed over the years?
   • b. | What is meant by data maturity? Discuss the various stages in the data maturity model for a company
   • c. Explain in brief the skills that a data engineer should possess
   • d. between batch and stream data ingestion
   • e. Explain the Reverse ETL process with the help of examples
   • f. What are ‘undercurrents’ in the data engineering life cycle? Explain Discoverability and Accountability with respect to Data Governance
2. Q2 Attempt any Three of the following: 15 marks
   • a. List and discuss the following two principles of good architecture
   • b. Define and explain how Scalability, Availability, Reliability, Elasticity are inter
   • c. With the help of a diagram, explain the Lambda architecture
   • d. how team size and it’s capabilities affect choosing data technologies across the data engineering lifecycle
   • e. Explain factors to consider with a commercial OSS project
   • f. Briefly discuss the impact of DataOps on choosing technologies Attempt any Three of the following: 15
   • a. Discuss in detail the following source systems that generate the data for the rest of the data engineering lifecycle:
   • i) Files and Unstructured Data
   • b. the major considerations for understanding database technologies Explain the various areas to consider for data management of source systems
   • d. in brief about the following two raw storage ingredients:
   • i. Serialization
   • e. Distinguish between eventual and strong consistency
   • f. Elaborate on the following as data engineering storage abstractions:
3. Q4 Attempt any Three of the following: a Briefly elaborate the factors to consider when designing your ingestion b Discuss the two types of batch ingestion c Explain how security and software engineering impact the ingestion phase d List and explain the common types of windows used for streaming queries and e State the Kimball approach to data modelling f Highlight the differences between micro-batch and true streaming 15 marks
4. Q5 Attempt any Three of the following: 15 marks
   • a. What are the common ways to serve data for analytics and Machine Learning?
   • b. analytics. List and explain the types of analytics
   • c. Discuss how each of the three — people, process and technology are related to
   • d. Briefly state the features of the live data stack
   • e. Explain the various serialization formats
   • f. What is a cloud network topology? What are availability zones and regions?

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