Pass product photos and descriptions to a model for inspection.
Check quality and sensitivity for each modality.
Choose two appropriate practices.
Verify supported modalities, formats, resolutions, and sizes, and classify privacy and quality risks in images as well as text.
Detailed explanation
Recognition can be uncertain and needs evaluation.
Blur, crops, and resolution affect recognition.
Faces, screens, and documents can contain sensitive data.
Unsupported or poor-quality input may fail or reduce quality.
Check official documentation
Compare the following points with the official documentation.
Amazon Bedrock公式マルチモーダルモデル仕様とAIF-C01 Domain 2.2を確認する。
Official references
What to confirm
画像・テキストを含む入力の仕様、プライバシー、品質評価を説明できる。
Key points
- Modalities
- Input quality
- Image privacy
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
Multimodal
Able to process or produce more than one information type, such as text, image, or audio.
Input quality
The degree to which format, resolution, completeness, and noise allow reliable processing.