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AI-103 Text Analysis Practice Question

You are troubleshooting a custom text classification model that exhibits high training loss and low validation accuracy, indicating severe model underfitting. What adjustment should you make to improve the model?

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

Increase the diversity and volume of training data and ensure model training is allowed to complete fully.

Underfitting occurs when a model is too simple or hasn't learned enough patterns. Increasing training iterations (epochs) or adding more descriptive features and training data helps resolve underfitting.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Lower the confidence score threshold to 0.01.

    Why it's wrong here

    Changing inference thresholds does not fix model underfitting.

  • Increase the diversity and volume of training data and ensure model training is allowed to complete fully.

    Why this is correct

    Underfitting is addressed by providing more training data and ensuring adequate model learning capacity.

  • Reduce the training dataset size by 90%.

    Why it's wrong here

    Reducing training data will worsen underfitting.

  • Switch the resource pricing tier from Standard to Free.

    Why it's wrong here

    Pricing tiers do not change model training algorithms.

Visual reference

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About these practice questions

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JA

Written and reviewed by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

Last reviewed August 2026 · checked against the official Microsoft exam blueprint

This AI-103 practice question is part of Courseiva's free Microsoft 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 AI-103 exam.