AI-200 Data Management Services And Vector Search Practice Question
When configuring vector search in Azure Cosmos DB for NoSQL, which TWO data types are valid for storing vector embeddings within the vector embedding policy? (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
✓
float32
Cosmos DB vector embedding policy supports float32 and float16 (or int8 depending on quantization) for vector properties.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
boolean
Why it's wrong here
Booleans cannot store high-dimensional floating-point embeddings.
- ✓
float32
Why this is correct
float32 is the standard 32-bit floating-point data type supported for vectors.
- ✗
guid
Why it's wrong here
GUIDs are unique identifiers, not vector data types.
- ✗
string
Why it's wrong here
Plain strings are not a valid vector embedding data type.
- ✓
float16
Why this is correct
float16 is supported for half-precision floating-point vector storage.
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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
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