Exam DSA-C03 Topic 1 Question 59 Discussion

Actual exam question for Snowflake's DSA-C03 exam
Question #: 59
Topic #: 1

You've trained a sentiment analysis model in Snowflake using Snowpark Python and deployed it as a UDF. After several weeks, you notice the model's performance has degraded significantly. You suspect concept drift. Which of the following actions represent the MOST effective and comprehensive approach to address this situation, considering the entire Machine Learning Lifecycle, including monitoring, retraining, and model versioning? Assume you have monitoring in place that alerted you to the drift.

A. Immediately replace the current UDF with a newly trained model using the latest data, ignoring model versioning and assuming the latest data will solve the drift issue. B. Analyze the recent data to understand the nature of the concept drift, retrain the model with a combination of historical and recent data, version the new model, and perform AIB testing against the existing model before fully deploying the new version. Log both model version predictions during AIB testing. C. Adjust the existing model's parameters manually to compensate for the observed performance degradation without retraining or versioning. D. Disable the model and revert to a rule-based system, abandoning the machine learning approach altogether. E. Retrain the model on a sample of the most recent data, overwriting the original model files in your Snowflake stage and updating the UDF definition. Keep no record of the old model.

Suggested Answer: B Vote an answer

Addressing concept drift requires careful analysis, retraining with appropriate data (historical + recent), and controlled deployment using A/B testing. Model versioning ensures that you can rollback if the new model performs poorly. Logging the predictions of both models assists in further performance analysis. Directly replacing (option A) or manually adjusting (option C) are risky without proper evaluation. Abandoning the ML approach (option D) is a last resort. Option E lacks model versioning and thus risks complete loss of the older model which is a common practice violation in ML engineering.

by Broderick at Aug 11, 2025, 05:36 PM

Limited Time Offer

15%

Off

Get Premium DSA-C03 Questions as Interactive Self Test Engine or PDF

Comments

0 Satisfied Customers

0 Shares

0 Demo Downloads

10 Years in Business