Which of the following is a common task an agentic AI might perform?

Booking a flight based on user criteria and budget, interacting with multiple services

Displaying a static image on a screen

Reading a single, predefined document

Playing a pre-recorded video clip

When an agentic AI is given a high-level goal, what is one of its typical first steps to achieve it?

Breaking down the high-level goal into smaller, manageable sub-tasks

Requesting immediate human intervention

Immediately executing a random action

Waiting indefinitely for more data input

Agentic AI can learn and adapt its behavior to achieve goals in dynamic environments, going beyond its initial programming

Expert systems cannot access external databases

Traditional expert systems require significantly more computational power

Agentic AI does not use any form of rules or logic

Consistently operate within intended ethical and safety boundaries without explicit step-by-step human guidance for every scenario

Memorize vast amounts of static information without error

Process images at extremely high speeds regardless of resolution

Generate creative artistic content indistinguishable from human artists

A software or hardware entity that perceives its environment and acts upon it to achieve goals

A human operator supervising the system

A physical robot with no software component

A fixed set of pre-programmed instructions that never change

Reflect on the failure, diagnose the problem, and attempt a different strategy or modify its plan

Immediately terminate the entire process and report an unrecoverable error

Send an error report to a human and cease all operations

Randomly try the exact same action again hoping for a different result

It refers to the AI's ability to engage in complex internal reasoning, planning, and self-correction before deciding on and executing an action

It allows the AI to immediately execute actions without any prior planning

It means the AI always asks for human approval for every single decision it makes

It describes the AI's speed in processing raw sensory input from its environment

A short-term memory or working memory component to store past states and decisions

A large language model's pre-trained weights (static)

A high-resolution camera for visual input only

A powerful graphics processing unit (GPU) for rendering

The potential for the AI to prioritize system-wide efficiency (e.g., cost savings) over individual user comfort or safety in unexpected situations

The difficulty of updating its software remotely

Its ability to generate personalized recommendations for entertainment

The need for it to communicate fluently in natural language

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