MLS-C01 Modeling Practice Question
A company is using Amazon SageMaker to train a time series forecasting model using the DeepAR algorithm. The training data contains multiple time series. The model is overfitting. Which action is LEAST likely to reduce overfitting?
⚠ Common exam trap
The trap here is that candidates mistakenly think reducing training data always reduces overfitting, but in time series forecasting with DeepAR, fewer time series actually weaken the cross-series learning that regularizes the model, making overfitting worse.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Reduce the number of time series in the training set.
Reducing the number of time series in the training set reduces the diversity of training data, which typically increases overfitting rather than reducing it. DeepAR relies on learning patterns across multiple related time series to generalize well; fewer time series mean less shared statistical strength, making the model more likely to memorize noise in the remaining series.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Decrease the number of layers in the neural network.
Why it's wrong here
Reducing model complexity reduces overfitting.
- ✗
Increase the dropout rate.
Why it's wrong here
Dropout is a regularization technique.
- ✗
Decrease the context length.
Why it's wrong here
Shorter context reduces model capacity.
- ✓
Reduce the number of time series in the training set.
Why this is correct
Less data may worsen overfitting.
Go deeper
Related to this question
About these practice questions
This MLS-C01 question is part of Courseiva's 1,672-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam dumps. Learn why practice questions differ from exam dumps →
JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This MLS-C01 practice question is part of Courseiva's free Amazon Web Services certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the MLS-C01 exam.