SACTY FINAL EXAM WITH VERIFIED ANSWERS.

SACTY FINAL EXAM WITH VERIFIED b b b b




ANSWERS b




In bat bleast bone bcomplete bsentence, bdefine bBig bData. b- b bcorrect banswer- bLarge,
b b b b b b b b b b b b b




bcomplex, b"raw" bdata bsets
b b b b




Too blarge bor bcomplex bfor bthe bexisting bsystem bto bhandle
b b b b b b b b b




Which bof bthe bfollowing bis bthe bbest bdefinition bof bthe bterm bbig bdata? b- b bcorrect
b b b b b b b b b b b b b b b




banswer- bDatasets bthat bare btoo blarge band bcomplex bfor bbusinesses' bexisting
b b b b b b b b b b b




bsystems butilizing btraditional bcapabilities.
b b b b




what bare bthe bfour bdefining bfeatures bof bBig bData bthat bwe bdiscussed. b- b bcorrect
b b b b b b b b b b b b b b




banswer- bvolume
b b




velocity
variety
variability

what bis bthe bdefinition bof bvolume bas ba bfeature bof bbig bdata b- b bcorrect banswer- bthe
b b b b b b b b b b b b b b b b




bamount bof bdata bthat bmust bbe bunderstood bto bmake bdata-based bdecisions
b b b b b b b b b b b




what bis bthe bdefinition bof bvelocity bas ba bfeature bof bbig bdata b- b bcorrect banswer-
b b b b b b b b b b b b b b b




bhow bfast bis bthe bdata bbeing bproduced band bmodified
b b b b b b b b b




what bis bthe bdefinition bof bvariety bas ba bfeature bof bbig bdata b- b bcorrect banswer- bthe
b b b b b b b b b b b b b b b b




bdata bis bcoming bfrom binside band boutside bthe bcompany's bown binformation
b b b b b b b b b b b




bsystem. bThis bmeans bthe bdata bcan bbe bstructured, bsemi-structured bor
b b b b b b b b b b




bunstructured
b

,what bis bthe bdefinition bof bvariability bas ba bfeature bof bbig bdata b- b bcorrect banswer-
b b b b b b b b b b b b b b b




bthe bbiases, bnoise band babnormality bin bdata
b b b b b b b




What bis bstructured bdata? b- b bcorrect banswer- bTypically bfound bin btables bwith
b b b b b b b b b b b b




bcolumns band brows bof bdata
b b b b b




What bis bsemi-structured bdata? b- b bcorrect banswer- bthe bdata bhas ban borganization,
b b b b b b b b b b b b




bbut bthe btable bstructure bis bremoved bso bthe bdata bcan bbe bmore beasily bread band
b b b b b b b b b b b b b b b




bmanipulated
b




What bis bunstructured bdata? b- b bcorrect banswer- bThe bdata bgenerally bhas bno
b b b b b b b b b b b b




borganized bstructure. bBig bdata btechnologies buse bdifferent bways bto badd bstructure
b b b b b b b b b b b




bto bthis bdata.
b b b




This btype bof bdata bis btypically bfound bin btables bwith bcolumns band brows bof bdata. b- b
b b b b b b b b b b b b b b b b




bcorrect banswer- bstructured bdata
b b b b




This btype bof bdata bhas ban borganization bto bit, bbut bthe btable bstructure bis bremoved
b b b b b b b b b b b b b b




bso bthe bdata bcan bbe bmore beasily bread band bmanipulated. b- b bcorrect banswer-
b b b b b b b b b b b b b b




bsemi-structured bdata
b b




This btype bof bdata bgenerally bhas bno borganized bstructure bto bit. b- b bcorrect banswer-
b b b b b b b b b b b b b b




bunstructured bdata
b b




Give bone bexample bof bunstructured bdata bwe bdiscussed. b- b bcorrect banswer- bData
b b b b b b b b b b b b




bcontaining ba bcombination ba bcombination bof btest, bimages, bvideos betc
b b b b b b b b b b




EX: bTwitter b




What bare bthe bthree bcosts bassociated bwith bBig bData bthat bwe bdiscussed? b- b
b b b b b b b b b b b b b




bcorrect banswer- b1. bCosts bto bacquire bbig bdata bset
b b b b b b b b b




2. bCosts bto bprocess bbig bdata bsets
b b b b b b




3. bCosts bto bstore bbig bdata bsets
b b b b b b




Which bof bthe bfollowing bdescribes bthe bpotential bbenefits bof busing bbig bdata? b- b
b b b b b b b b b b b b b




bcorrect banswer- b1. bHelps bmanagers bto bidentify bfuture bopportunities.
b b b b b b b b b




2. bHelps bmanagers bto bidentify brisks.
b b b b b




3. bProvides bmanagers bwith binsight bto bdo bmore bdirected bmarketing bcampaigns
b b b b b b b b b b




bbased bon bpatterns, bgiving bthem ba bcompetitive badvantage.
b b b b b b b b




What bis bthe bformal bdefinition bof bdata banalytics? b- b bcorrect banswer- bThe bscience
b b b b b b b b b b b b b




bof bexamining braw bdata, bremoving bexcess bnoise bfrom bthe bdataset band
b b b b b b b b b b b




borganizing bthe bdata bwith bthe bpurpose bof bdrawing bconclusions bfor bdecision
b b b b b b b b b b b




bmaking.
b




As bdescribed bin bthe btext, bwhich bof bthe bfollowing bbest bdefines bthe bterm bdata
b b b b b b b b b b b b b




banalytics? b- b bcorrect banswer- bThe bscience bof bexamining braw bdata, bremoving
b b b b b b b b b b b b




bexcess bnoise, band borganizing bit bin border bto bdraw bconclusions bfor bdecision
b b b b b b b b b b b b




bmaking.
b

,How bdoes bdata banalytics bplay ba bvital brole bin btoday's bbusiness bworld? b- b bcorrect
b b b b b b b b b b b b b b




banswer- bBy bexamining bdata bto bgenerate bmodels bfor bpredictions bof bpatterns band
b b b b b b b b b b b b




btrends.
b




what bare bthe bfour btypes bof bbig bdata banalytics btechniques b- b bcorrect banswer- b1.
b b b b b b b b b b b b b b




bdescriptive
b




2. bdiagnostic banalysis
b b




3. bprescriptive banalysis
b b




4. bpredictive
b




what bis bdescriptive banalysis? b- b bcorrect banswer- bwhat bis bhappening bin bthe
b b b b b b b b b b b b




bbusiness bright bnow?
b b b




Real btime bdata banalysis bto bsee bwhat bis bcurrently bhappening
b b b b b b b b b




Focuses bon bpattern bdetection band bcomparisons
b b b b b




what bis bdiagnostic banalysis b- b bcorrect banswer- bWhy bis bit bhappening?
b b b b b b b b b b b




Provides binsight binto bwhy bsomething bhappened b b b b b




Pattern bdetection band bcategory bdevelopment bbased bon bsimilarities band
b b b b b b b b




bdifferences
b




what bis bprescriptive banalysis? b- b bcorrect banswer- bWhat bdo bI bneed bto bdo? b
b b b b b b b b b b b b b b




What bactions bshould bI btake?
b b b b




More badvanced bthan bpredictive.
b b b




Emerging btechnique. b




Goes bbeyond bsimply bpredicting boptions band bsuggests ba brange bof boptions band
b b b b b b b b b b b




bthe bpotential boutcomes bof beach.
b b b b b




what bis bpredictive banalysis? b- b bcorrect banswer- bWhat bis blikely bto bhappen bin bthe
b b b b b b b b b b b b b b




bfuture?
b




Focuses bon bhistorical bpatterns bto bpredict bfuture brelationships band bpatterns, busing
b b b b b b b b b b




bprobability bdistributions band blikelihoods.
b b b b




Decisions bare bautomated busing balgorithms b b b b




EX: bhow bmuch brevenue bcan bI bexpect bin bthe bfuture bfrom bcustomers bin ba
b b b b b b b b b b b b b




bparticular bzipcode
b b




"predict bdata byou bdon't bhave" b b b b




Which bof bthe bfollowing btypes bof bBig bData banalytical btechniques bis bused bto
b b b b b b b b b b b b




banswer bthe bquestion bWhat bis bhappening bin bmy bbusiness bright bnow? b- b bcorrect
b b b b b b b b b b b b b b




banswer- bdescriptive banalysis
b b b




Which bof bthe bfollowing btypes bof bBig bData banalytical btechniques bis bused bto
b b b b b b b b b b b b




banswer bthe bquestion bWhy bis bthis bhappening? b- b bcorrect banswer- bdiagnostic
b b b b b b b b b b b b




banalysis
b




Which bof bthe bfollowing btypes bof bBig bData banalytical btechniques bis bused bto
b b b b b b b b b b b b




banswer bthe bquestion bWhat bis blikely bto bhappen bin bthe bfuture? b- b bcorrect
b b b b b b b b b b b b b b




banswer- bpredictive banalysis
b b b




Using bthe bdata byou bhave bto bpredict bthe bdata byou bdon't bhave bis bwhich btype bof
b b b b b b b b b b b b b b b




bbig bdata banalysis btechnique? b- b bcorrect banswer- bpredictive banalysis
b b b b b b b b b b

, Which bof bthe bfollowing btypes bof bBig bData banalytical btechniques bis bused bto
b b b b b b b b b b b b




banswer bthe bquestion bWhat bdo bwe bdo, bwhat baction bshould bwe btake? b- b bcorrect
b b b b b b b b b b b b b b b




banswer- bprescriptive banalysis
b b b




The bprocess bof bscrubbing braw bdata bto bremove bextraneous bdata band bother bnoise
b b b b b b b b b b b b




bin border bto bincrease bits busefulness bis bknown bas b- b bcorrect banswer- bExtract,
b b b b b b b b b b b b b b




btransform, band bload b(ETL)
b b b b




Data banalytics bprofessionals bestimate bthat bthey bspend bhow bmuch bof btheir btime
b b b b b b b b b b b




bcleaning bdata bin border bto bperform banalysis bon bit? b- b bcorrect banswer- b50 b- b90%
b b b b b b b b b b b b b b b b




what bare bCPA bfirms bdoing babout bincreased bdata banalytics? b- b bcorrect banswer-
b b b b b b b b b b b b




b1. binvesting bin btechnology bto btest/audit bdata
b b b b b b b




2. binvesting bin bpeople bto brun bthe btechnology band banalyze bthe bresults
b b b b b b b b b b b




2. breal btime bdata bmeans baudit bwork bduring bthe bperiod binstead bof bjust bat byear-
b b b b b b b b b b b b b b




end

Which bof bthe bfollowing bbest bdescribes bthe bskill bsets bused bin bdata banalytics? b- b
b b b b b b b b b b b b b b




bcorrect banswer- b1.Acquiring/cleansing bdata
b b b b




2.Creating bdata bstructures/models b b




3. bMining/analyzing bdata.
b b




Which bof bthe bfollowing bbest bdescribes bhow bexternal bauditors' binteractions bwith
b b b b b b b b b b




btheir bclients bis blikely bto bchange bdue bto bthe buse bof bdata banalytics bin bthe baudit
b b b b b b b b b b b b b b b b




bprocess? b- b bcorrect banswer- bExternal bauditors bwill bstay bengaged bwith bclients
b b b b b b b b b b b b




bbeyond bthe baudit.
b b b




What bhas bthe bAICPA bdeveloped bto bdefine band bstandardize bdata bacross bexternal
b b b b b b b b b b b




bsystems. b- b bcorrect banswer- bAudit bData bStandards b(ADS)
b b b b b b b b b




28.Which bof bthe bfollowing bbest bdescribes bthe bAICPA's bAudit bData bStandards
b b b b b b b b b b




b(ADS)? b- b bcorrect banswer- bA bset bof bstandards bfor bdata bfiles band bfields
b b b b b b b b b b b b b b




bdesigned bto bsupport bexternal baudits.
b b b b b




True bor bFalse: bData banalytics bare blikely bto bplay ba bsignificant brole bin bfuture baudit
b b b b b b b b b b b b b b




bactivities. b- b bcorrect banswer- btrue
b b b b b b




In b2009, bthe bUS bHouse bof bRepresentatives bpassed bthe bData bAccountability band
b b b b b b b b b b b




bTrust bAct. bIt bis bcurrently bin bSenate bcommittee bfor breview. bWhat bdoes bthis bAct
b b b b b b b b b b b b b b




bdo? b(LO b9-6) b- b bcorrect banswer- b1. bAttempt bto bregulate bdata bsecurity
b b b b b b b b b b b b b




2. bTrying bto bcreate ba bnational bstandard bfor bprivacy band bdata bprotection
b b b b b b b b b b b




3. bProvides ba buniversal bdefinition bof bpersonally bidentifying binformation band
b b b b b b b b b




brequires borganizations bto bimplement band bmaintain bformal bsecurity bprograms bto
b b b b b b b b b b




bprevent bunauthorized baccess bto bpersonally bidentifying binformation.
b b b b b b b




Personally bidentifiable binformation b(PII) bis bdefined bas bany bdata bthat bcan bbe bused
b b b b b b b b b b b b




bon bits b___________ bor bin bcombination bwith bother bdata bto b________________
b b b b b b b b b b b




ba bspecific bperson. b- b bcorrect banswer- bown b; bidentify
b b b b b b b b b b