$1.$ Calculating the Expected Utility for some action a $...$

A$.$ takes into account ONLY the MOST PROBABLE outcome that the action a can lead to

B$.$ takes into account ALL outcomes that the action a can lead to

C$.$ does not need to take possible outcomes into accounts

D$.$ takes into account AlL possible outcomes, including the ones the action a will NOT lead to

$2.$ Which one CANNOT be a part of a Decision Network?

A$.$ a decision node

B$.$ a chance node

C$.$ a bidirectional edge

D$.$ a value node

$3.$ If A and B are two possible outcomes for an agent AND U$($A$)=$ U$($B$)($utilities$),$ it means that $...$

A$.$ the agent should pick the action that leads to BOTH A and B

B$.$ the agent will not be able to make a decision $/$ pick action

C$.$ the utility function U is inadequate

D$.$ the agent is indifferent between A and B

$4.$ In decision theory, utility is a numerical value. True or false?

$5.$ In the context of decision making agents, a belief represents a $...$

A$.$ decision

B$.$ probability

C$.$ utility

D$.$ desire

$6.$ If event $/$ random variable A is independent of event $/$ random variable B$,$ P$($A $|$ B$)$ can be rewritten as:

A$.$ P$($B$)$

B$.$ P$($B $|$ A$)$

C$.$ P$($A$,$B$)$

D$.$ P$($A$)$

$7.$ Decision network $...$

A$.$ is NEVER based on a Bayes Network

B$.$ is SOMETlMES based on a Bayes Network

C$.$ is a different name for a Bayes Network

D$.$ is ALWAYS based on a Bayes Network