Assembling and Deploying Apps Questions
Practice questions for Assembling and Deploying Apps topic in Databricks Certified Generative AI Engineer Associate. 44 questions covering this domain.
What is the Databricks AI Playground used for?
An engineer uses code-based logging to deploy an AI agent with `mlflow.langchain.log_model(lc_model="/path/to/agent.py", ...)`. When the deployed serv...
A Databricks admin wants to audit LLM token consumption by user for cost attribution. Unity AI Gateway usage tracking is enabled. Which two system tab...
A team deploying a shared LLM endpoint wants to prevent any single user from consuming all endpoint capacity. Which Unity AI Gateway feature enables p...
Before deploying an AI agent to a Mosaic AI Model Serving endpoint, which step is required to enable Unity Catalog governance and authorization for th...
A Model Serving endpoint has two external models listed: Model A (60% traffic, listed first) and Model B (40% traffic, listed second). Unity AI Gatewa...
A team enables PII detection guardrails on a Model Serving endpoint with the "Mask" option. A user sends a request containing a credit card number. Wh...
An ML engineer has logged and registered an AI agent to Unity Catalog. Before deploying to a production serving endpoint, they want to validate the ag...
An engineer enables payload logging (inference tables) via Unity AI Gateway on a model serving endpoint. How soon after a request is made can the team...
A team enables traffic splitting with Model A at 20% and Model B at 80% on a single endpoint with fallbacks enabled. Model A is listed first in the en...
A team is deciding between a service principal token and a personal access token (PAT) for authenticating a production AI agent serving endpoint to Ve...
What does the Unity AI Gateway's "AI Guardrails" feature provide in the context of a Model Serving endpoint?
An enterprise team has deployed an AI assistant serving endpoint used by 500 employees. They need to attribute LLM token costs to individual business ...
A team configures a Unity AI Gateway rate limit on a Model Serving endpoint. They want individual users to be limited to 60 queries per minute each, b...
A team manages a multi-tenant AI assistant where requests from different enterprise clients must be audited separately for compliance. Each client's r...
A model serving endpoint has three external models listed in order: ModelX (50% traffic), ModelY (30% traffic), ModelZ (20% traffic). Unity AI Gateway...
After registering an AI agent in Unity Catalog, how is a Model Serving endpoint created to deploy the agent using the Databricks `databricks.agents` P...
A team deploys an AI agent and wants to ensure that topic guardrails prevent the endpoint from answering questions about competitor products. Which Un...
An engineering team is migrating a production AI agent from using a personal access token (PAT) to a service principal for authenticating to Vector Se...
When an engineer enables inference tables (payload logging) on a Model Serving endpoint, where is the logged request and response data stored?
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