Build fluency in Gemini 2 Flash's multimodal and agentic features.
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At standup, a dev wants real-time audio and video interaction with Gemini 2 Flash. Which feature fits?
Gemini 2 Flash offers a multimodal Live API supporting low-latency streaming of audio and video for interactive sessions. It enables conversational, real-time experiences. This is distinct from standard request/response calls.
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During a design review, the team enables the model's internal reasoning before answering. What is this called?
Gemini's thinking mode lets the model perform extended internal reasoning before producing a response, improving results on harder tasks. You can enable and budget it. It trades latency for accuracy similar to other reasoning approaches.
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In a PR review, a dev wants the model to call functions directly. Which Gemini 2 capability applies?
Gemini 2 Flash supports native tool use, letting the model call functions and built-in tools like search or code execution. You declare function declarations and the model emits calls. This is core to building agents on Gemini.
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An incident report shows repeated large prompts inflating cost. Which Gemini feature reduces this?
Context caching stores a reusable prefix (like a long document or system prompt) so repeated requests avoid re-billing those tokens at full rate. It lowers cost and latency for repeated-context workloads. This is the standard fix for large recurring prompts.
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During a code review, a dev sends an image and text together to Gemini 2 Flash. What property enables this?
Gemini 2 Flash is multimodal, accepting mixed inputs such as text and images (and more) in one request. You pass content parts of different types in the request. This unifies modalities without separate pipelines.