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AI-102 Microsoft Designing and Implementing a Microsoft Azure AI Solution

  • Microsoft
  • 1 practice question
  • Updated Jul 2026
  • 5 free sample questions

About this exam

AI-102 is the Microsoft exam Microsoft Designing and Implementing a Microsoft Azure AI Solution. Practice material is available as an interactive practice test.

Exam code
AI-102
Vendor
Microsoft
Practice questions
1
Questions with an explanation
0 of 1
Free sample questions
5
Question bank last updated
3 Jul 2026

Try 1 sample question

Taken from the free sample set for AI-102.

Question 1 (choose 4)

You are developing the smart e-commerce project.
You need to implement autocompletion as part of the Cognitive Search solution.
Which three actions should you perform? Each correct answer presents part of the solution. (Choose
three.)
NOTE: Each correct selection is worth one point.

  1. Option A:
    Make API queries to the autocomplete endpoint and include suggesterName in the body.

  2. Option B:
    Add a suggester that has the three product name fields as source fields.

  3. Option C:
    Make API queries to the search endpoint and include the product name fields in the searchFields
    query parameter.

  4. Option D:
    Add a suggester for each of the three product name fields.

  5. Option E:
    Set the searchAnalyzer property for the three product name variants.

  6. Option F:
    Set the analyzer property for the three product name variants.
Show answer and explanation

Correct answer: A, B, E, F

Scenario: Support autocompletion and autosuggestion based on all product name variants.
A: Call a suggester-enabled query, in the form of a Suggestion request or Autocomplete request,
using an API. API usage is illustrated in the following call to the Autocomplete REST API.
POST /indexes/myxboxgames/docs/autocomplete?search&api-version=2020-06-30
{
"search": "minecraf",
"suggesterName": "sg"
}
B: In Azure Cognitive Search, typeahead or "search-as-you-type" is enabled through a suggester. A
suggester provides a list of fields that undergo additional tokenization, generating prefix sequences
to support matches on partial terms. For example, a suggester that includes a City field with a value
for "Seattle" will have prefix combinations of "sea", "seat", "seatt", and "seattl" to support
typeahead.
F. Use the default standard Lucene analyzer ("analyzer": null) or a language analyzer (for example,
"analyzer": "en.Microsoft") on the field.
Reference:
https://docs.microsoft.com/en-us/azure/search/index-add-suggesters
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