AI-102 Plan and manage an Azure AI solution Practice Question
Your team is developing a chatbot using Azure AI Bot Service with Language Understanding (LUIS). You need to improve intent recognition for user queries that contain typos. What should you recommend?
⚠ Common exam trap
Test-takers frequently assume training with typos (Option D) is the best way to handle misspellings, but Microsoft explicitly recommends using Bing Spell Check as a separate preprocessing layer rather than bloating the training data with error-prone examples.
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
✓
Enable Bing Spell Check in the LUIS app settings
Enabling Bing Spell Check in the LUIS app settings allows the service to automatically correct typos in user utterances before they are processed for intent recognition. This built-in feature integrates directly with LUIS at the endpoint, correcting misspelled words to improve the accuracy of intent and entity extraction without requiring manual data augmentation or external services.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Add synonym lists for common misspellings
Why it's wrong here
Synonym lists map alternate phrasings to a canonical form but operate on whole words, not character-level errors, so transposed or missing letters remain unmatched. It is tempting because synonyms are a legitimate LUIS feature, yet typo correction requires spelling normalisation before utterance scoring.
- ✗
Use Azure Cognitive Search to correct typos
Why it's wrong here
Azure Cognitive Search performs full-text indexing and querying over documents; it does not feed corrected tokens into LUIS intent scoring. It is tempting because search handles fuzzy matching, but LUIS typo tolerance comes from utterance training and normalisation, not an external search index.
- ✓
Enable Bing Spell Check in the LUIS app settings
Why this is correct
Enabling Bing Spell Check in the LUIS app settings corrects typographical errors in incoming utterances before intent classification, directly satisfying the stem's requirement to improve recognition of queries containing typos. LUIS then evaluates the corrected text against its trained intents, raising confidence scores that misspellings would otherwise depress.
- ✗
Train the model with many examples containing typos
Why it's wrong here
Training with many typo examples improves recall only for those exact misspellings and inflates utterance counts without generalising. It is tempting because adding utterances is the standard LUIS improvement method, yet the correct approach normalises input before scoring rather than enumerating every possible typo.
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