Production & Deployment

Deploying and monitoring Gen AI models in production: MLOps, model serving, observability, cost optimization, and reliability.

2
Easy Concepts
10
Medium Concepts
0
Hard Concepts

Easy Concepts (2)

What are the 60+ pre-built integrations available in Google ADK? Categorize them by type.

google-adkintegrationstoolsobservabilitydatabases
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How to manage artifacts and persistent outputs in Google ADK?

google-adkartifactspersistencefilesversioning
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Medium Concepts (10)

How would you monitor a deployed LLM application?

gen-aimlops

What's your strategy for handling model updates in production?

gen-aimlops

How would you reduce inference latency for an LLM application?

gen-aimlopsllm

How would you estimate costs for a large-scale LLM application?

gen-aimlops

What's your testing strategy for Gen AI applications?

gen-aimlops

What are all the model serving frameworks that a fine tuned model can be added and accessed across?

model-servingvllmtgiollamabentoml

How to evaluate and test AI agents in Google ADK? Explain the 7 built-in evaluation metrics.

google-adkevaluationtestingmetricshallucination
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How to deploy Google ADK agents to production (Vertex AI Agent Engine, Cloud Run, GKE)?

google-adkdeploymentproductionvertex-aicloud-run
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How to implement observability and monitoring for Google ADK agents (AgentOps, Arize, Phoenix, Cloud Trace)?

google-adkobservabilitymonitoringtracingagentops
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Does the speed of running local AI (LLM) models on a GPU depend more on the type of GPU used, or on how much VRAM the GPU has?

gen-aigpuvramlocal-llmhardware
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