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Question 9 of 72
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- Correct answer : A — Build an `OnlineTableSpec` naming the table and keys, wrap it in an `OnlineTable`, and call `online_tables.create_and_wait(table=t)`. A . This is the documented SDK pattern: an `OnlineTableSpec` describes the source table and keys, an `OnlineTable` object wraps that spec, and `create_and_wait` provisions the low-latency online copy. B . `CACHE TABLE` caches a DataFrame in cluster memory for the life of that Spark session; it does not create a durable, low-latency online table and is not part of the online table provisioning API. C . Enabling Change Data Feed is a prerequisite for some publishing modes, but it does not by itself create an online table; a serving endpoint cannot query an unprovisioned online table just because CDF is on. D . Copying raw Parquet files onto local disk bypasses the managed online table infrastructure entirely and does not produce anything a serving endpoint or `FeatureLookup` can query.