$1)$ Choosethecorrectanswerofthetask:ComputationofGrades$($Singlechoice$)$ a$.$ Input

b$.$ Processing

c$.$ Output

$2)$ Choosetherightanswerforthetask:EnterGradesintocomputer$($Single

choice$)$

a$.$ Input

b$.$ Output

c$.$ Processing

$3)$ Choosetherightanswerforthetask:PrintedGradesofastudent$($Single choice$)$

a$.$ Input

b$.$ Output

c$.$ Processing

$4)$ Dataisrawmaterialgatheredfromoneormoresources$($Singlechoice$)$ a$.$ Yes

b$.$ No

$5)$ MostAIfailuresareduetodatapreparationandorganizationissues,notAI

models or use cases $($Single choice$)$

a$.$ Yes

b$.$ No

$6)4$V'sCharacteristicsofBigData$($Singlechoice$)$

a$.$ Volume,Viscous,Velocity,Variety b$.$ Volume,Velocity,Variety,Veracity c$.$ Velocity,Victory,Volume,Value

$7)$ OneoftheseprinciplesdescribesthepurposeofAI.Selectthebeststatement you would use to best describe the purpose of AI to a client. $($Single choice$)$

a$.$ ThepurposeofAIistobegintoautomateeverything

b$.$ ThepurposeofAIistoreplacehumanintelligence

c$.$ ThepurposeofAIistodelivervaluetoonlyasubsetofthepopulation d$.$ ThepurposeofAIistoaugmenthumanintelligence

$8)$ AclientisnewtoAIandtellsyoutheyunderstandwhatmachinelearning$($ML$)$is but is confused with the term deep learning $($DL$)$ and asked you to explain what the word 'deep' means in DL$.$ You tell them that DL is: $($Single choice$)$

a$.$ Learningthattookasignificanttimetotrainanddevelop

b$.$ Asubsetofmachinelearningbasedonartificialneuralnetworksthatuses

multiple hidden layers to extract features

c$.$ Learningthatgoesbeyondtheoperatingsystem$($OS$)$levelandfocuseson kernel development

d$.$ Referstothebestpracticeofalwayscheckingandtestingyourmodelsto ensure they are still accurate

$9)$ AI$,$MachineLearning$($ML$),$andDeepLearning$($DL$)$feellikebuzzwordsthese days because you hear about them so often in data strategy discussions. What's the best way to describe the relationship between AI$,$ ML$,$ and DL$?($Single choice$)$

a$.$ AIisasubsetofMLbutisasynonymforDL

b$.$ Thesetermsareahierarchyoffeaturesaroundmodernanalytics

c$.$ AI$,$ML$,$andDLarealltermsthathavethesamemeaningandcanbeused

interchangeably

d$.$ AIisthecategorytermfortechnologythatenablesmachinestolearnandact

from data and improve over time

$10)$ How can you describe descriptive analytics? $($Single choice$)$

a$.$ Whydidithappen

b$.$ Whatishappening

c$.$ Whatshouldhappen d$.$ What'sgoingtohappen

$11)$ Most AI failures are due to data preparation and organization issues, not AI models or use cases. $($Single choice$)$

a$.$ Yes

b$.$ No

$12)$ Which of the following is not one of the Machine Learning Methods? $($Single

choice$)$

a$.$ Clustering

b$.$ Artificialintelligence c$.$ Regression

d$.$ Classification

e$.$ DeepLearning

$13)$ Which of the following is not one of the Supervised Methods? $($Multiple choice$)$ a$.$ DecisionTree

b$.$ NeuralNetwork

c$.$ LogisticRegression

d$.$ Clustering

e$.$ NaturalLanguageProcessing

$14)$ You want to predict the non$-$compliant credit card transactions of your client for Credit Card. Which type of Machine Learning technique would be the best choice? $($Single choice$)$

a$.$ SupervisedMachineLearningtechnique

b$.$ UnsupervisedMachineLearningTechnique

$15)$ Supervised learning methods mean $($Single choice$)$

a$.$ Ananalysthastoruntheprogram

b$.$ Dataincludesbothdescriptiveandclassattributes c$.$ Dataislimited

$16)$ All of the following are true of unsupervised techniques except: $($Single choice$)$ a$.$ CanbeusedtodecreasethesizeandcomplexityforotherMLtasks

b$.$ Createsnaturalgrouping

c$.$ Betterunderstandingofadataset

d$.$ Usedtopredictapredefinedbehavior

$17)$ What is Natural Language Processing in technical terms? $($Single choice$)$

a$.$ Understandinglanguagesofdi$\backslash$erentcultures

b$.$ Learningaprogramminglanguage

c$.$ Tryingtogetacomputertounderstandhumanlanguage

$18)$ Detecting abnormalities in X$-$rays, MRIs, and CT scans to aid in the diagnosis of diseases. $($Single choice$)$

a$.$ SupervisedLearning

b$.$ UnsupervisedLearning c$.$ ReinforcementLearning d$.$ DeepLearning

$19)$ Predicting house prices based on historical sales data. $($Single choice$)$ a$.$ SupervisedLearning

b$.$ UnsupervisedLearning c$.$ ReinforcementLearning d$.$ DeepLearning

$20)$ Classifying emails as spam or not spam based on labeled training data. $($Single choice$)$

a$.$ SupervisedLearning

b$.$ UnsupervisedLearning c$.$ ReinforcementLearning d$.$ DeepLearning

$21)$ Teaching a computer to play chess by playing against itself and learning from mistakes. $($Single choice$)$

a$.$ SupervisedLearning

b$.$ UnsupervisedLearning c$.$ ReinforcementLearning d$.$ DeepLearning

$22)$ Training a robot to navigate a maze and rewarding it for reaching the goal. $($Single choice$)$

a$.$ SupervisedLearning

b$.$ UnsupervisedLearning c$.$ ReinforcementLearning d$.$ DeepLearning

$23)$ Training a drone to navigate and avoid obstacles in a dynamic environment. $($Single choice$)$

a$.$ SupervisedLearning

b$.$ UnsupervisedLearning c$.$ ReinforcementLearning d$.$ DeepLearning

$24)$ Detecting anomalies in a network to identify potential cybersecurity threats. $($Single choice$)$

a$.$ SupervisedLearning

b$.$ UnsupervisedLearning c$.$ ReinforcementLearning d$.$ DeepLearning