QuestionQ85

Executing queries using Databricks SQL and Databricks SQL Warehouses

Which data-project example is a common analytics use case to complete in Databricks SQL?

  • A Augmenting gold-layer tables with additional external information
  • B Automating complex notebook-based workflows with multiple tasks
  • C Testing the quality of data as it is imported from a source
  • D Segmenting customers into like groups using a clustering algorithm
Explanation

Databricks SQL provides data-warehousing capabilities for building and querying curated lakehouse tables. Gold-layer tables are presentation-layer data marts used for analytics, so enriching them with external information is an appropriate SQL analytics workload. Data warehousing architecture

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