You are testing an agent that generates natural language responses to user queries, such as giving explanations or answering open-ended questions. The outputs need to be assessed for quality, semantic correctness, and reasoning.Which evaluator type is best suited for this scenario?
Answer(s): B
LLM-as-a-Judge is best suited because it can flexibly evaluate natural language responses for quality, semantic correctness, and reasoning, which cannot be reliably assessed through strict structural or word-for-word matching.
What are the characteristics of an agentic story within the `Do later' quadrant in the impact and feasibility matrix?
Answer(s): C
The `Do later' quadrant in the impact and feasibility matrix contains agentic stories with low feasibility but high impact, meaning they could deliver strong value but are difficult to implement immediately.
What does the presence of the "Fix connection" and "Show error" options next to the Zoom connector most likely indicate?
Answer(s): A
The presence of "Fix connection" and "Show error" indicates that the Zoom connector is currently disconnected and requires manual user intervention to troubleshoot and restore the connection.
What is the significance of the "as-is" process map in identifying agentic automation opportunities?
The "as-is" process map documents how tasks are currently performed, making inefficiencies, bottlenecks, and pain points visible. This analysis is critical for identifying realistic opportunities where agentic automation can add value.
While configuring an index that points to a sales-ledger.csv file, you need the agent to answer SQL-style questions such as "total revenue per region".Which query type setting in the Contexts panel will make Context Grounding treat the CSV as tabular data and enable cell-level look-ups?
Answer(s): D
Selecting the Structured query type ensures Context Grounding interprets the CSV as tabular data, allowing SQL-style queries and precise cell-level lookups such as calculating total revenue per region.
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