Choosing vector dimensions | AWS Certified AI Practitioner (AIF-C01) original practice question

3.1Standard

Compare search quality and index cost.

Candidate embedding models have different dimensions.

Choose two comparisons.

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

CorrectMeasure recall and ranking quality with the same documents and queries

Semantic quality is comparable.

CorrectInclude storage, latency, update cost, and language quality

Operational fit is part of selection.

IncorrectLarger vectors are always more accurate

Quality depends on model and data.

IncorrectChoose the smallest vector without measuring quality

Relevance may be lost.

An example you can run in a temporary verification environment.

AWS公式AIF-C01 Domain 3.1の埋め込みと検索設計を確認する。

ベクトル次元を品質とコストのトレードオフで選べる。

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-326

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