3.1Standard
The embedding model changes and is incompatible with the old index.
Migrate without an outage.
Choose two practices.
× Incorrect
Build a separate index, compare quality, authorization, and performance, then switch atomically while retaining rollback data.
Detailed explanation
IncorrectMix different dimensions in one index
Distance calculations break.
CorrectSwitch atomically after validation and retain the old index for rollback and controlled deletion
Recovery is possible.
IncorrectOverwrite the old index without validation
Recovery is difficult.
CorrectBuild a separate index with the new model, dimension, and distance and compare representative queries
Old and new behavior are isolated.
Check official documentation
Compare the following points with the official documentation.
AWS公式AIF-C01 Domain 3.1の埋め込み、ベクトル索引、移行を確認する。
Official references
What to confirm
ベクトル方式変更を旧データと混在させず、検証・切替・復旧できる。
Key points
- Vector index
- Migration
- Rollback
Notes
- Environment: AWS公式AIF-C01試験ガイドとAWS公式ドキュメントの確認
- Compare the definition with the AIF-C01 objective and the service documentation before applying it.
- Keep the concept separate from a particular answer choice or implementation step.
Foundation review
Vector index
An index optimized for searching numeric vector representations.
Embedding dimension
The number of numeric components in a vector representation.
Question IDAWS-AIF-479
EnvironmentAWS公式AIF-C01試験ガイドとAWS公式ドキュメントの確認
Last technical review2026-08-20
Report an error or rights issue