Rebuilding a vector index | AWS Certified AI Practitioner (AIF-C01) original practice question

3.1Standard

The embedding model changes and is incompatible with the old index.

Migrate without an outage.

Choose two practices.

Hint 1: Focus on the requirement

Identify what must change and what must remain unchanged. Then choose the command whose scope matches that requirement.

Hint 2: Check each command's role

Separate commands that display information, change state, remove data, or affect a child process.

Detailed explanation

CorrectBuild a separate index with the new model, dimension, and distance and compare representative queries

Old and new behavior are isolated.

CorrectSwitch atomically after validation and retain the old index for rollback and controlled deletion

Recovery is possible.

IncorrectMix different dimensions in one index

Distance calculations break.

IncorrectOverwrite the old index without validation

Recovery is difficult.

An example you can run in a temporary verification environment.

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。

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。

Foundation review

Check whether the command acts on the current shell, a new process, an existing process, or a file.

Use the supplied command and compare the output with the expected result.

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