SnowPro Associate: Platform Question 29
Single answer● WorksheetsA data engineer is troubleshooting a transformation in Snowsight and wants to compare output from several SQL statements before turning the logic into a scheduled pipeline. The engineer needs to run multiple ad hoc queries in one place, review each result set independently, and save the work so it can be revisited later by the same user. Which Snowsight Worksheets capability best meets this requirement?
- A
Use a worksheet to write and run multiple SQL statements, then inspect the results for each statement in the worksheet and save the worksheet for later use.
- B
Create a dashboard instead, because dashboards are designed for authoring and testing multiple SQL statements interactively before scheduling them.
- C
Use a stage to store the SQL statements, because stages preserve query history and result sets for later review in Snowsight.
- D
Create a task first, because tasks are the primary interface for developing and comparing ad hoc SQL results before saving the logic.
Show answer and explanation
Correct answer: A
Explanation
The best answer is to use a Snowsight worksheet. Worksheets are the standard interface in Snowsight for writing, running, and saving SQL used in exploratory analysis, troubleshooting, and development. They support interactive execution and allow users to revisit saved work later. In contrast, dashboards are for consumption and presentation, stages are for file storage related to data loading/unloading, and tasks are for scheduled execution after logic is finalized. This aligns with Snowflake documentation and common best practices: develop and validate SQL in worksheets first, then operationalize with objects such as tasks or procedures if automation is needed.
- A. Correct.
Correct. Snowsight worksheets are intended for interactive SQL development and analysis. A user can place multiple SQL statements in a worksheet, run them, review the resulting output, and save the worksheet for future reuse. This matches the need to test transformation logic iteratively before operationalizing it.
- B. Incorrect.
Incorrect. Dashboards are primarily for presenting saved data views and visualizations to consumers, not for authoring and interactively testing multiple ad hoc SQL statements as a development workspace. A candidate might choose this option because dashboards can display query-backed content, but they are not the best tool for iterative SQL development.
- C. Incorrect.
Incorrect. Internal or external stages are used to store files for loading and unloading data, not to preserve worksheet logic, query history, or interactive result comparison. This distractor targets the misconception that any Snowflake storage location can function as a development workspace.
- D. Incorrect.
Incorrect. Tasks are used to schedule SQL statements or procedures for execution, typically after logic has already been developed and validated. They are not the primary interface for ad hoc exploration, result comparison, or interactive troubleshooting. Someone might choose this because the scenario mentions a future scheduled pipeline, but the immediate need is development and testing.