Home / AWS Certified AI Practitioner (AIF-C01) / 2 Practice / AWS-AIF-297
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Choose a model and evaluate its fit.
Choose two practices.
Hint 1: Focus on the requirement Confirm the supported formats and limits for each modality, then evaluate quality, latency, cost, and privacy per input type.
Hint 2: Key terms Review input modalities and modality-specific evaluation.
Input modalityA data form accepted by a model, such as text, image, audio, or video.
Modality evaluationMeasuring quality, latency, cost, and safety separately for each input form.
Input formatThe encoding, dimensions, sampling, or structure required for a model input.
Modality limitationA supported-input restriction that can affect accuracy, size, or processing behavior. × Incorrect Confirm input and output modalities, language and quality requirements, safety behavior, latency, quotas, and cost with representative test cases.
Detailed explanation A Correct Confirm that the model supports the required input and output modalities
A model must accept and produce the required data types.
B Incorrect Assume all models support the same modalities
Model capabilities differ.
C Incorrect Choose from a name without testing inputs
Actual behavior and limits remain unknown.
D Correct Evaluate language coverage, quality, safety, latency, quota, and cost on representative cases
Capability is broader than a model label.
Check official documentation Compare the following points with the official documentation.
AWS公式AIF-C01 Domain 2.1の基盤モデル、マルチモーダル、評価を確認する。
Official references Official documentation 1 Official documentation 2 What to confirm モダリティ対応の有無と実運用品質を分けて評価できる。
Key points 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 Input modality A data form accepted by a model, such as text, image, audio, or video.
Modality evaluation Measuring quality, latency, cost, and safety separately for each input form.
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