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6. In the lambda architecture, what is the component in the batch layer

  • analytics client
  • Batch layer
  • Speed Layer - Real-time views
  • Serving Layer

7. How do Kappa architecture build upon the lambda architecture?

  • The redundancy of data is more global and therefore risk is diversified.
  • Instead of needing processing in both hot and cold stream, the quick processing goes through the same stream as the cold data.
  • The accounting for missing data is far more sophisticated
  • The Kappa architecture insits on always performing DQ tests, regardless of speed constraints

8. What does it mean when data is immutable?

  • The data cannot be updated or deleted
  • Data cannot be aggregated or it losses its meaning
  • The data value is a single source of truth
  • The data is dependent on the order in order to retain meaning

9. What is the formalised data analytics processes

  • Requirement Gathering, data ingestion and processing/cleaning, data exploration, deploying analytic solution, data analysis, feedback, optimise solution
  • Requirement Gathering, decide upon methodology, data ingestion and processing, data exploration, deploying analytic solution, data analysis, feedback, optimise solution
  • Requirement Gathering, data ingestion and processing, data exploration, data analysis, deploying analytic solution, feedback, optimise solution
  • Requirement Gathering, data ingestion and processing, data exploration, deploying analytic solution, data analysis, feedback, optimise solution

10. What type of data is best suited for batch processing

  • real-time personalized advertising data
  • Daily sales report data
  • IoT gas sensor data

11. What is the advantage of using power BI over a Synapse notebook

  • power Bi allows for more simplistic and straightforward visuals
  • Power BI can be distributed outside of an analytic team
  • no advantage
  • DAX is a more accessible language than python