Databricks Certified Data Engineer - Associate
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You are designing a Delta Live Table (DLT) pipeline for a real-time analytics application that processes streaming data from IoT devices. The pipeline must ensure low latency data processing to provide timely insights. During the review of your pipeline's query syntax, you notice that the STREAM keyword is missing from the FROM clause when reading data from a streaming source. Considering the requirements of low latency processing and the need for accurate data ingestion, what is the impact of omitting the STREAM keyword, and how should this issue be addressed? Choose the best option from the following:
Explanation:
In the context of a Delta Live Table (DLT) pipeline designed for real-time analytics, the STREAM keyword is crucial when reading data from a streaming source. Its omission leads to a syntax error, halting the query execution. This directly conflicts with the pipeline's requirement for low latency processing. To resolve this, the STREAM keyword must be explicitly included in the FROM clause to enable proper streaming data processing and ensure the pipeline meets its real-time analytics objectives.