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AI-200 Data Management Services And Vector Search Practice Question

When configuring an Azure AI Search index, which TWO data types can be used for metadata fields that require exact filtering (e.g., category eq 'electronics')? (Choose two)

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

✓

Edm.Int32 (with filterable: true)

Edm.String and Edm.Int32 or Edm.Boolean are standard filterable field types in Azure AI Search for exact metadata filtering.

Answer analysis

Option-by-option breakdown

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

✗
Binary stream objects
Why it's wrong here
Binary streams are not filterable metadata field types.
✗
Edm.ComplexType without sub-properties
Why it's wrong here
Complex types contain collections or objects, not direct filterable primitives unless properly typed.
✓
Edm.Int32 (with filterable: true)
Why this is correct
Filterable numeric fields support exact and range filters.
✗
Edm.SingleCollection (vector fields)
Why it's wrong here
Vector fields are queried using vector distance, not exact metadata filter equality.
✓
Edm.String (with filterable: true)
Why this is correct
Filterable Edm.String fields support exact OData equality and comparison filters.

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Courseiva writes every AI-200 question from scratch — 503 in total, each with an explanation and a wrong-answer breakdown. None are copied from real exams or dumps. Learn why practice questions differ from exam dumps →

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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

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