Courseiva
Implement agentic AI solutionsmediumMultiple ChoiceObjective-mapped

AI-102 Implement agentic AI solutions Practice Question

A company is developing an agent that uses Azure AI Vision to analyze images uploaded by users. The agent must identify objects and read text in images. The team uses the Azure AI Vision API. During testing, the agent fails to read text from images with low contrast. What should the team do to improve optical character recognition (OCR) accuracy for such images?

⚠ Common exam trap

Many candidates assume Azure Custom Vision can be repurposed for OCR or that adjusting confidence thresholds can fix recognition accuracy, when in fact pre-processing the image is the standard approach to improve OCR results for low-quality inputs.

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

Pre-process the image to adjust contrast and brightness before calling the OCR API.

Azure AI Vision's OCR API performs best on images with sufficient contrast and brightness. Pre-processing the image (e.g., using OpenCV or PIL to adjust contrast and brightness) enhances text visibility, directly improving OCR accuracy for low-contrast images without changing the API or training a custom model.

Answer analysis

Option-by-option breakdown

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

  • Use a different OCR API from Azure Cognitive Services.

    Why it's wrong here

    All Azure OCR APIs have similar limitations on image quality.

  • Pre-process the image to adjust contrast and brightness before calling the OCR API.

    Why this is correct

    Image pre-processing improves OCR accuracy.

  • Train a custom OCR model using Azure Custom Vision.

    Why it's wrong here

    Custom Vision is for object detection, not OCR.

  • Increase the confidence threshold for text detection.

    Why it's wrong here

    This does not improve recognition; it only filters low-confidence results.

About these practice questions

This AI-102 question is part of Courseiva's 945-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 →

How Courseiva writes practice questions · Editorial policy

JA

Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

This AI-102 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-102 exam.