AIDA 182 FINAL EXAM NEWEST ACTUAL EXAM
COMPLETE 200 QUESTIONS AND CORRECT
DETAILED ANSWERS (VERIFIED ANSWERS)
|ALREADY GRADED A+
egonet/ ego - ANSWERa network comprised of an ego and the nodes directly connected
to it
- a node and all of its nearest neighbors are referred to as.....
center node is the....
sociogram - ANSWERparticularly useful for analyzing small social networks
centrality measures - ANSWERthe efficiency of the flow between social network
connections can be determined through
closeness - ANSWERaverage distance to others in network.....confident someone will
spread the word about community service to more people than others...so he has a high
score in....
neural network - ANSWERdevelops rules to make predictions as it performs various
mathematical functions
neural network - ANSWERwould most likely observe a driver characteristic from loss
information that had not previously been considered as a rating factor
transportation management - ANSWERinvolves incorporating technologies from the
Internet of things (IoT) to connect vehicles and their drivers with solutions for
awareness, safety, efficiency, and reliability.
lidar - ANSWERa sensor similar to radar that uses infrared light to detect nearby objects
smart operations - ANSWERapplying algorithms to big data generates the info
underlying.....
robots - ANSWERused to scan unsafe conditions and monitor hazards
, computer vision - ANSWERled to major advances in the field of automotive safety and
the development of automated vehicles
service layer - ANSWERemploying applications that use data processing, cloud
computing, and storage and analysis of large amounts of data
temperature sensors - ANSWERwhich one of the following particularly useful in vacant
or temporarily unoccupied buildings
Radio Frequency Identification (RFID) - ANSWERidentifies assets and complies their
characteristics without human intervention
Lidar - ANSWERuses infrared light to detect nearby objects
An organization knows where to post responses to reputation risk that will reach the
most people. - ANSWERWhich one of the following describes the way in which social
network analysis can help an organization respond more efficiently to a reputation risk?
long-tail claim - ANSWERa claim in which there is a duration of more than one year from
the data of loss to closure
ultimate loss - ANSWERThe final paid amount for all losses in an accident year.
unsupervised - ANSWERclustering is....
supervised - ANSWERGLM is.....
information gain - ANSWERafter data from sensors is categorized to develop attributes
that help predict workplace accidents, these attributes are combined with traditional
workplace accident attributes and then analyzed independently for their.....
microprocessor capacity, battery miniaturization, and camera clarity - ANSWERrapid
advances in which of the following groupings has heralded a revolution in sensor and
wearable technology
Fault Tree Analysis - ANSWERa type of traditional analysis allows a risk manager to
examine the series of events and conditions that led to an accident; it interrupts the
sequence of events leading to system failure so that the failure itself can be prevented
reputation - ANSWERan intangible asset that relates to an organization's goals and
values
centrality measures - ANSWERdegree, closeness, and betweenness all fall into which
one of the following categories
there is not a target variable - ANSWERk-means is used when....
the analysis should be repeated to determine accuracy - ANSWERafter a predictive
model is developed to evaluate estimates of ultimate losses
COMPLETE 200 QUESTIONS AND CORRECT
DETAILED ANSWERS (VERIFIED ANSWERS)
|ALREADY GRADED A+
egonet/ ego - ANSWERa network comprised of an ego and the nodes directly connected
to it
- a node and all of its nearest neighbors are referred to as.....
center node is the....
sociogram - ANSWERparticularly useful for analyzing small social networks
centrality measures - ANSWERthe efficiency of the flow between social network
connections can be determined through
closeness - ANSWERaverage distance to others in network.....confident someone will
spread the word about community service to more people than others...so he has a high
score in....
neural network - ANSWERdevelops rules to make predictions as it performs various
mathematical functions
neural network - ANSWERwould most likely observe a driver characteristic from loss
information that had not previously been considered as a rating factor
transportation management - ANSWERinvolves incorporating technologies from the
Internet of things (IoT) to connect vehicles and their drivers with solutions for
awareness, safety, efficiency, and reliability.
lidar - ANSWERa sensor similar to radar that uses infrared light to detect nearby objects
smart operations - ANSWERapplying algorithms to big data generates the info
underlying.....
robots - ANSWERused to scan unsafe conditions and monitor hazards
, computer vision - ANSWERled to major advances in the field of automotive safety and
the development of automated vehicles
service layer - ANSWERemploying applications that use data processing, cloud
computing, and storage and analysis of large amounts of data
temperature sensors - ANSWERwhich one of the following particularly useful in vacant
or temporarily unoccupied buildings
Radio Frequency Identification (RFID) - ANSWERidentifies assets and complies their
characteristics without human intervention
Lidar - ANSWERuses infrared light to detect nearby objects
An organization knows where to post responses to reputation risk that will reach the
most people. - ANSWERWhich one of the following describes the way in which social
network analysis can help an organization respond more efficiently to a reputation risk?
long-tail claim - ANSWERa claim in which there is a duration of more than one year from
the data of loss to closure
ultimate loss - ANSWERThe final paid amount for all losses in an accident year.
unsupervised - ANSWERclustering is....
supervised - ANSWERGLM is.....
information gain - ANSWERafter data from sensors is categorized to develop attributes
that help predict workplace accidents, these attributes are combined with traditional
workplace accident attributes and then analyzed independently for their.....
microprocessor capacity, battery miniaturization, and camera clarity - ANSWERrapid
advances in which of the following groupings has heralded a revolution in sensor and
wearable technology
Fault Tree Analysis - ANSWERa type of traditional analysis allows a risk manager to
examine the series of events and conditions that led to an accident; it interrupts the
sequence of events leading to system failure so that the failure itself can be prevented
reputation - ANSWERan intangible asset that relates to an organization's goals and
values
centrality measures - ANSWERdegree, closeness, and betweenness all fall into which
one of the following categories
there is not a target variable - ANSWERk-means is used when....
the analysis should be repeated to determine accuracy - ANSWERafter a predictive
model is developed to evaluate estimates of ultimate losses
