Snowpro Advanced Architect · Free Practice Question Medium

Question 39

When designing a Snowflake data lake architecture, it's common to organize data into different "zones" or layers. Which of the following is a typical sequence of data zones in a modern cloud data platform leveraging Snowflake?
  • A Staging -> Landing -> Raw -> Mart -> Conformed
  • B Landing -> Raw -> Staging -> Conformed -> Mart
  • C Raw -> Mart -> Landing -> Staging -> Conformed
  • D Mart -> Raw -> Staging -> Conformed
Reveal correct answer

Correct answer: B

Explanation

✅ Landing -> Raw -> Staging -> Conformed -> Mart

Explanation:

A modern Snowflake data lake architecture typically follows a structured zone-based approach to efficiently manage data ingestion, transformation, and consumption. The most common sequence is:

  1. Landing Zone → Initial storage for raw, unprocessed data from various sources.

  2. Raw Zone → Stores data in its original format, ensuring data integrity before transformations.

  3. Staging Zone → Intermediate processing area where data cleaning, validation, and enrichment occur.

  4. Conformed Zone → Standardized, structured data ready for analytics and reporting.

  5. Mart Zone → Optimized for business intelligence and end-user consumption, often structured for specific use cases.

For more details, check the official Snowflake documentation on data lake architecture.

❌ Why the other options are incorrect?

Mart -> Raw -> Staging -> Conformed
→ Incorrect, because Mart should be the final layer, not the starting point.

Staging -> Landing -> Raw -> Mart -> Conformed
→ Incorrect, because Landing should come before Raw, and Mart should be the last step.

Raw -> Mart -> Landing -> Staging -> Conformed
→ Incorrect, because Mart should be the final layer, and Landing should precede Raw.

Discussion

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