You plan to use Data Wrangler to view basic summary statistics for the Customers.parquet data before loading it to a Delta table. Which tool should you use?

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Multiple Choice

You plan to use Data Wrangler to view basic summary statistics for the Customers.parquet data before loading it to a Delta table. Which tool should you use?

Explanation:
This question is about choosing the right tool for quick data profiling during preparation. Data Wrangler is built for data prep tasks and is the most convenient way to view basic summary statistics for a dataset like Customers.parquet before loading it to a Delta table. It lets you quickly see counts, missing values, and simple distributions right within the prep workflow, ensuring you understand the data shape before you move it downstream. Power BI Desktop and Data Studio are primarily for visualization and reporting, not for fast in-workflow data profiling during preparation. A SQL Editor can produce statistics, but it requires writing queries and leaves the profiling steps outside the streamlined prep experience.

This question is about choosing the right tool for quick data profiling during preparation. Data Wrangler is built for data prep tasks and is the most convenient way to view basic summary statistics for a dataset like Customers.parquet before loading it to a Delta table. It lets you quickly see counts, missing values, and simple distributions right within the prep workflow, ensuring you understand the data shape before you move it downstream.

Power BI Desktop and Data Studio are primarily for visualization and reporting, not for fast in-workflow data profiling during preparation. A SQL Editor can produce statistics, but it requires writing queries and leaves the profiling steps outside the streamlined prep experience.

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