An organization recently launched a virtual customer support agent, generating vast amounts of text and speech data. Why should they use a cloud data warehouse to interpret this data?

Question

Options

• ATo natively visualize both types of data using a dashboard in real time
• BTo ingest and analyze structured and unstructured data at scale, in real time
• CTo secure data transmission between cloud and on-premises environments
• DTo transform data from structured to unstructured

• A
  5% (1)
• B
  95% (19)

Explanation

A cloud data warehouse such as BigQuery is purpose-built to ingest, store, and analyze both structured data (e.g., metadata, session records) and unstructured data (e.g., transcribed speech, raw text) at massive scale in real time. This makes it ideal for processing the high-volume, mixed-format data generated by a virtual support agent. Option A is incorrect-while dashboards can be built on top of a warehouse, the warehouse itself does not natively visualize both data types in real time; a BI tool like Looker handles visualization. Option C describes a security/networking concern unrelated to the scenario. Option D is incorrect-a data warehouse analyzes data in its existing form; it does not transform structured data into unstructured data.

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