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Actual exam question for Microsoft's AI-103 exam Question #: 101 Topic #: 1
Drag and Drop Question You have a Microsoft Foundry project that uses Azure Content Understanding in Foundry Tools to analyze marketing videos. Video segmentation is enabled. You need to configure an analyzer to output a generated JSON field that describes the color scheme of each video segment. How should you configure the analyzer? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content. NOTE: Each correct selection is worth one point.
Suggested Answer:
Explanation: Box 1: string The Type (string): While you want the output schema to contain a description of the color palette or style, Azure Content Understanding schemas map the underlying data types using fundamental types like string, number, or array. The field will output the final result in the JSON response under a key like "valueString" Box 2: generate The Method (generate): The extract method is only used for pulling literal text exactly as it appears in content (such as speech-to-text transcripts or OCR). Because analyzing visual aesthetics and synthesizing descriptive text about a "color scheme" requires multimodal AI reasoning, you must use the generate method. This instructs the underlying model to analyze the segment and synthesize a completely new descriptive insight. References: https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/video/elements
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