ISM 3541 exam 1 | UPDATED Questions with 100%
Verified Answers
Q1: Which of the following statements about barbell strategies is
NOT TRUE?
a. The strategy consists of purchasing bonds with both short
and long maturities, but no intermediate-term securities are
included
b. The short-term bonds will provide for quick cash to
purchase new bonds upon maturity
c. A barbell strategy is used to take advantage of potential
interest-rate changes
d. Gains from the short-term maturities will offset losses in the
long-term maturities
A: c
Q2: Analytics
A: Learning what information people need in order to make decisions
how to deliver that information in a consumable medium
providing a value to add context to the need
Q3: 2 types of data mining method (learning methods)
A: supervised learning method
unsupervised learning method
Q4: supervised learning method
A: the learner has access to data sets (e.g. training data) and creates and runs models off
their interpretation of the data
models constantly change with more available data
Q5: unsupervised learning method
A: is true research and development- little is known about what the data is/ what it
represents
used to take data from subjective to objective (opinion to fact)
requires unbounded time and resources in order to evolve the model to take advantage
of the learning that occurs
Q6: 2 Types of supervised learning method
A: classification
logistical regression
Q7: classfication
, A: focuses on predicting the target variable of new, unseen instances by finding which
segment the data point is in
Q8: web 1.0
A: opened the door for social and ethical issues to evolve bc the internet was not regulated
Q9: webt 2.0
A: is the evolution of digital content and the expansion of innovative uses of technology
through the transformation of data and information from the workstation or pc to the
mobile devices
Q10: web 2.0 desc
A: number of users is increasing because the quality if applications is increasing
Q11: data mining
A: a massive frontier that was created out of the data we've collected from all walks during
the past 20 years
Q12: considerations for protecting data
A:
Q13: ethics filter using a risk based approach
A:
Q14: four new data mining methods
A: classification, regression, clustering, and profiling
Q15: open environment
A: triggers a sense of ownership on the participant's part because the environment's liability
of protecting data is minimal
Q16: closed environment
A: built on privacy and protection and has increased expectations especially when a breach
occurs.
Q17: associations
A: critical assets for external entities that want to learn more about humans
need to consider the implications that come with associations through discrimination,
stigmatization, and polarization
Q18: contributor vs. consumer
Verified Answers
Q1: Which of the following statements about barbell strategies is
NOT TRUE?
a. The strategy consists of purchasing bonds with both short
and long maturities, but no intermediate-term securities are
included
b. The short-term bonds will provide for quick cash to
purchase new bonds upon maturity
c. A barbell strategy is used to take advantage of potential
interest-rate changes
d. Gains from the short-term maturities will offset losses in the
long-term maturities
A: c
Q2: Analytics
A: Learning what information people need in order to make decisions
how to deliver that information in a consumable medium
providing a value to add context to the need
Q3: 2 types of data mining method (learning methods)
A: supervised learning method
unsupervised learning method
Q4: supervised learning method
A: the learner has access to data sets (e.g. training data) and creates and runs models off
their interpretation of the data
models constantly change with more available data
Q5: unsupervised learning method
A: is true research and development- little is known about what the data is/ what it
represents
used to take data from subjective to objective (opinion to fact)
requires unbounded time and resources in order to evolve the model to take advantage
of the learning that occurs
Q6: 2 Types of supervised learning method
A: classification
logistical regression
Q7: classfication
, A: focuses on predicting the target variable of new, unseen instances by finding which
segment the data point is in
Q8: web 1.0
A: opened the door for social and ethical issues to evolve bc the internet was not regulated
Q9: webt 2.0
A: is the evolution of digital content and the expansion of innovative uses of technology
through the transformation of data and information from the workstation or pc to the
mobile devices
Q10: web 2.0 desc
A: number of users is increasing because the quality if applications is increasing
Q11: data mining
A: a massive frontier that was created out of the data we've collected from all walks during
the past 20 years
Q12: considerations for protecting data
A:
Q13: ethics filter using a risk based approach
A:
Q14: four new data mining methods
A: classification, regression, clustering, and profiling
Q15: open environment
A: triggers a sense of ownership on the participant's part because the environment's liability
of protecting data is minimal
Q16: closed environment
A: built on privacy and protection and has increased expectations especially when a breach
occurs.
Q17: associations
A: critical assets for external entities that want to learn more about humans
need to consider the implications that come with associations through discrimination,
stigmatization, and polarization
Q18: contributor vs. consumer
