How does a time-based trigger typically handle a situation where the expected data has not arrived by the scheduled run time?

It sends an alert and skips the run entirely.

It cancels the run and waits for the next scheduled time.

It automatically delays the run until the data arrives.

It runs the job anyway, potentially processing incomplete or missing data.

DatabricksCertified Data Engineer Associate

Domain 4Objective 4

Choose Between Time‑based and Data‑driven Triggers Based on Data Availability and Pipeline Dependencies. DATA-ENGINEER-ASSOCIATE Practice Questions (Page 3)

Part of the Working with Lakeflow Jobs domain, which accounts for 16% of the DATA-ENGINEER-ASSOCIATE exam. Databricks does not publish an official question count, but from its 90-minute exam (~35–60 total, ~6–10 in this domain), expect 2–3 from this objective — we provide 11 practice questions to prepare you well beyond it. (estimate)

11questions here

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16%of the exam

Questions 11–11

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How does a time-based trigger typically handle a situation where the expected data has not arrived by the scheduled run time?
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Choose Between Time‑based and Data‑driven Triggers Based on Data Availability and Pipeline Dependencies. DATA-ENGINEER-ASSOCIATE Practice Questions (Page 3)

Questions 11–11

How does a time-based trigger typically handle a situation where the expected data has not arrived by the scheduled run time?

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