SnowPro Advanced Architect

By Snowflake · Question Mode

QuestionQ132

Architecture Overview

The Data Engineering team at a large manufacturing company needs to engineer data from many sources to support a broad range of use cases and data-consumer requirements, including:

  1. Finance and Vendor Management team members who need reporting and visualization
  2. Data Science team members who need access to raw data for ML model development
  3. Sales team members who need engineered and protected data for data monetization

Which Snowflake data-modeling approaches will satisfy these requirements?

Choose two
Explanation

A raw database provides a persistent landing layer for source data, enabling data science access and supplying downstream transformations. Profile-specific databases allow data to be modeled, governed, and protected according to distinct consumption patterns, such as BI reporting and monetized data products. Snowflake supports raw landing tables for pipeline processing and granular, secure sharing of selected database objects.

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