1. For customer data, the impact is 500,000andthelikelihoodis0.7.Thus,theannualriskexposureforcustomerdatais:500,000times0.7=350,0002.Fortransactionprocessingsystems,theimpactis1,200,000 and the likelihood is 0.4. Therefore, the annual risk exposure for transaction processing systems is: $1,200,000times0.4=480,0003.Forinternalcommunicationnetworks,theimpactis300,000 and the likelihood is 0.1. Hence, the annual risk exposure for internal communication networks is: $300,000times0.1=30,000Now,wesumtheannualriskexposuresofallthreeassetstofindthetotalestimatedannualriskexposure:350,000+480,000+30,000=860,000However,itappearsthattheoptionsprovideddonotincludethistotal.Thisdiscrepancyhighlightstheimportanceofensuringthatallcalculationsalignwiththeprovidedoptions.Inareal−worldscenario,suchinconsistencieswouldnecessitateareviewoftheriskassessmentprocessandtheunderlyingdatausedforcalculations.Inconclusion,thetotalestimatedannualriskexposurefortheinstitution,basedontheprovidedimpactsandlikelihoods,is860,000. This exercise emphasizes the critical nature of accurately assessing both the potential impacts of risks and their likelihoods, as these factors are essential for effective risk management and decision-making in cybersecurity frameworks.