Master Gemini API patterns — model selection, multimodal content, function calling, and search grounding.
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In a design review, the team debates the Gemini Flash vs Pro trade-off. What is the correct characterisation?
Gemini Flash is designed for low-latency, high-throughput, cost-efficient tasks where speed matters more than peak quality. Gemini Pro delivers higher reasoning quality and is suited for complex, multi-step tasks. Both support multimodal inputs; the choice is a cost/quality/latency trade-off, not a capability split.
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During a PR review, a teammate asks about the structure of multimodal content parts in Gemini. What is correct?
In the Gemini API, a Part in a Content object can be text, inlineData (base64-encoded bytes with a mimeType), or fileData (referencing a URI from the Files API). Multiple parts are assembled into a Content with a role of user or model, enabling rich multimodal conversations.
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At standup, a developer explains function calling in Gemini. Which description is accurate?
Function calling in Gemini follows a three-step pattern: (1) declare Tool objects with FunctionDeclaration schemas; (2) the model returns a FunctionCall part when it wants to invoke a function; (3) your application executes the function and returns a FunctionResponse part with the result. The model then generates a final answer incorporating the response.
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An incident involves grounding with Google Search returning information that seems outdated. Which statement correctly explains how grounding works?
Grounding with Google Search augments the model's knowledge by retrieving live web results and injecting them as context. The model then synthesises an answer — it does not simply return a search result. You can inspect grounding_metadata.search_entry_point and grounding_chunks to see which sources were used. Results reflect live Search, not a 24-hour cache.
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In a code review, a teammate suggests calling countTokens before sending a large request. What does this API actually do?
countTokens sends the full request structure — contents, system instruction, and tool declarations — to the API and returns total_tokens. This accurately reflects what will be consumed when you call generateContent, letting you gate requests that would exceed the model's context limit before incurring latency or errors.
What does the "Google Gemini API Patterns Vocabulary" vocabulary exercise cover?
This exercise tests real IT vocabulary related to google gemini api patterns vocabulary through 5 multiple-choice questions, each built from realistic workplace sentences rather than abstract definitions.
Is this vocabulary exercise free to use?
Yes. Every exercise on CoderSlingo, including this one, is completely free — no account, sign-up, or payment required.
How many questions does this exercise have?
This exercise has 5 questions. Each one shows a real-world sentence or scenario with multiple-choice options and an explanation once you answer.
What happens after I answer a question?
You'll see immediate feedback showing whether your answer was correct, along with a short explanation of why — then a button to move to the next question, and a full results screen at the end.
Can I retry the exercise if I get questions wrong?
Yes. Once you reach the results screen, click "Try again" to reset your answers and go through the exercise from the start as many times as you like.
Do I need to create an account to take this exercise?
No account is needed. Your answers are scored in your browser during the session — nothing is saved to a server, so you can jump straight in.
Is my progress saved if I leave the page?
No — progress within an exercise resets if you navigate away or reload. Each exercise is short enough to complete in a few minutes in one sitting.
Are these vocabulary exercises connected to other topics?
Yes — this module shares real-world context with 17 other vocabulary modules. See "Related vocabulary" below to keep building a connected skill set.
How is this different from reading a glossary or blog article?
Exercises like this one are active recall drills — you have to choose the correct term or phrasing yourself, which builds retention faster than passively reading a definition.
Where can I find more vocabulary exercises?
Browse the full Vocabulary exercises hub for hundreds of modules covering Agile, DevOps, security, databases, architecture, and more — organised by IT role and skill.