DAA-C01 Question 108
Single answerTop InsightsA retail analytics team uses Snowsight to monitor executive dashboards built on Snowflake data. Leadership wants a quick, automatically generated summary of the most meaningful changes in sales performance without manually creating dozens of charts or writing custom SQL for every trend. The team already has a clean semantic model and wants business users to explore notable metric changes directly in the UI. Which approach best meets this requirement using Top Insights?
- A
Use Top Insights in Snowsight to automatically surface notable changes, drivers, and comparisons for supported metrics and dimensions from the prepared data model.
- B
Create a materialized view on the sales table, because Top Insights only works on pre-aggregated physical tables and not on modeled business data.
- C
Use a Streamlit in Snowflake app, because Top Insights requires a custom Python application to generate insight narratives for end users.
- D
Schedule a TASK to populate a summary table hourly, because Top Insights cannot present interactive drill-downs or comparative insights in Snowsight.
Show answer and explanation
Correct answer: A
Explanation
Top Insights is designed for business-facing, interactive analysis in Snowsight, helping users identify important changes, trends, and likely drivers without manually building every analysis from scratch. In this scenario, leadership wants automatically generated summaries of meaningful sales changes, and the team already has well-prepared analytical data. That aligns directly with the purpose of Top Insights. The other options describe supporting technologies in Snowflake, materialized views, Streamlit, and tasks, but none of them are the core feature intended to provide built-in top-change discovery and interactive business insight exploration. Best practice is to use Top Insights when you want guided insight discovery on curated data, while using tasks, views, or custom apps only when there is a separate operational or bespoke application need.
- A. Correct.
Correct. Top Insights is intended to help users quickly identify significant changes and drivers in data through a guided, interactive experience in Snowsight. In a scenario where stakeholders want automatically generated summaries of important metric movements from a prepared business model, Top Insights is the most appropriate fit.
- B. Incorrect.
Incorrect. This reflects a common misconception that insight generation requires only pre-aggregated physical tables. Top Insights is designed to work from curated analytical data structures; it does not require a materialized view as a prerequisite simply to function. Materialized views may help performance in some architectures, but they are not the defining requirement for using Top Insights.
- C. Incorrect.
Incorrect. Streamlit in Snowflake can be useful for custom analytical applications, but it is not required for Top Insights. The scenario specifically asks for a built-in, low-code user experience inside Snowsight rather than a custom application development approach.
- D. Incorrect.
Incorrect. A TASK can automate data preparation or summary-table refreshes, but it does not replace Top Insights. The misconception here is treating scheduled SQL pipelines as equivalent to an interactive insight-discovery feature. Top Insights is meant to help users explore notable changes and contributing factors directly, not just consume a precomputed table.