CERTIFIED-DATA-ENGINEER-PROFESSIONAL · Question #49
CERTIFIED-DATA-ENGINEER-PROFESSIONAL Question #49: Real Exam Question with Answer & Explanation
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Question
A user new to Databricks is trying to troubleshoot long execution times for some pipeline logic they are working on. Presently, the user is executing code cell-by-cell, using display() calls to confirm code is producing the logically correct results as new transformations are added to an operation. To get a measure of average time to execute, the user is running each cell multiple times interactively. Which of the following adjustments will get a more accurate measure of how code is likely to perform in production?
Options
- AScala is the only language that can be accurately tested using interactive notebooks; because the
- BThe only way to meaningfully troubleshoot code execution times in development notebooks Is to
- CProduction code development should only be done using an IDE; executing code against a local
- DCalling display () forces a job to trigger, while many transformations will only add to the logical
- EThe Jobs Ul should be leveraged to occasionally run the notebook as a job and track execution
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