Snowflake SOL-C01 Exam With Confidence Using Practice Dumps

In Snowflake Notebooks, agreen checkmarkis a visual indicator that the cell hassuccessfully executed, meaning the computation completed without errors and results are available. This helps users verify execution state quickly across multi-step workflows.

Other visual states include:

A spinning icon for cells that are currently executing

A red error symbol for failed executions

Plain, unmarked cells that have not yet run

Snowflake Notebooks support SQL and Python cells with integrated compute, output visualization, and cell-level execution state tracking. There is no “paused” state for notebook cells.

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Snowflake Data Exchange is not enabled by default. Accounts must open a support request to Snowflake Support, which then activates the feature. It cannot be enabled via UI or SQL. After activation, administrators may create private exchanges and listings.

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Streamlit inside Snowflake Notebooks enables users to buildinteractive, real-time visualizations and data applicationsdirectly within Snowsight. Because Streamlit is event-driven, users can create UI components such as sliders, dropdowns, date pickers, buttons, and filters that dynamically update charts, tables, and computed outputs.

Data remains inside Snowflake, processed through Python with Snowpark, eliminating data movement to external systems. This allows rapid prototyping of dashboards, analytical workflows, and AI-driven apps. Streamlit also supports layout customization, reactive components, and seamless integration with Snowflake compute for scalable analytics.

Incorrect options:

Streamlit doesnotmanage data storage.

Streamlit does not simplify code execution; it enhances visualization and interactivity.

Warehouse clusters are not fixed-size—Snowflake warehouses can scale.

Thus, its primary benefit is enablingrich interactive analytics directly within Snowflake.

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