Exam DSA-C03 Topic 1 Question 19 Discussion

Actual exam question for Snowflake's DSA-C03 exam
Question #: 19
Topic #: 1

You are validating a time series forecasting model for daily sales using Snowflake and Snowpark. The residuals plot shows a clear sinusoidal pattern. Which of the following actions should you consider to improve your model? (Select all that apply)

A. Increase the regularization strength in your model. B. Incorporate lagged features representing previous sales values (e.g., sales from the previous day, week, or month). C. Apply a Box-Cox transformation to the target variable (sales) to stabilize the variance. D. Remove outlier data points to improve overall model performance. E. Change the algorithm to a linear regression model, since it is more likely to capture sinusoidal patterns

Suggested Answer: B,C Vote an answer

A sinusoidal pattern in the residuals indicates that the model is not adequately capturing the seasonal patterns in the data. Incorporating lagged features (Option B) allows the model to learn from past sales trends. A Box-Cox transformation (Option C) can help stabilize the variance and improve the model's fit. Increasing regularization (Option A) or removing outliers (Option D) might help in some cases, but they are not the primary solutions for a sinusoidal pattern. Linear regression models are unlikely to capture sinusoidal patterns, so Option E is wrong.

by Alva at Jul 10, 2026, 03:39 AM

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