$1.$ Both intelligence and pattern$-$matching systems share two common efficiency objectives $($True$/$False$)$

$2.$ The effectiveness objective of pattern$-$matching AI is to think and act rationally. $($True$/$False$)$

$3.$ When a driverless car perceives it needs to turn in $10$ seconds, it slows the car down before every turn. This type of AI system is often referred to as $\_\_\_\_\_\_\_\_.$

A$)$ Big Data AI

B$)$ Good Old Fashioned AI

C$)$ Traditional AI

D$)$ Pattern$-$matching AI

$4.\_\_\_\_\_\_\_\_$ encompass$($es$)$ all techniques that use algorithms to discover patterns in data and evaluate their own performance.

A$)$ Hidden layers

B$)$ An inference engine

C$)$ Neural networks

D$)$ Machine learning

$5.$ Google search and facial recognition software are two common examples of $\_\_\_\_\_\_\_\_.$

A$)$ unsupervised machine learning

B$)$ supervised machine learning

C$)$ NLP

D$)$ deep learning