Software
Due Jul 9 at 11:59pm
Points 20
Questions 20
Time Limit 30 Minutes
Attempt History
Attempt Time
LATEST Attempt 1 15 minutes
Correct answers are hidden.
Score for this quiz: 20 out of 20
Submitted Jun 29 at 9:30pm
This attempt took 15 minutes.
Question 1
pts
A tier 1 or 2 data center would be most appropriate for an organization with which characteristic?
very large with many employees
capable of conducting critical operations manually
, reliant on computer assistance to process orders
vulnerable to business disruptions lasting a few hours
Tiers 1 and 2 data centers may be appropriate for small organizations where
a business disruption of several hours to a few days would not have a serious
business impact and critical activities could be managed manually without
computer assistance.
Rationale:
Tiers 1 and 2 data centers may be appropriate for small organizations where a business disruption of
several hours to a few days would not have a serious business impact and critical activities could be
managed manually without computer assistance. Tiers 3 and 4 are needed by large organizations where a
business disruption of a few hours would have serious financial consequences due to the inability to
process customer orders, plan product shipments, manage manufacturing operations, and perform other
critical activities.
Question 2
pts
A firm that models, simulates, and analyzes large amounts of data quickly by using computers to execute
the same task on multiple processors simultaneously is employing _____.
parallel processing
grid computing
multiprocessing
multithreading
Parallel processing is the simultaneous execution of the same task on
multiple processors to obtain results more quickly. The most frequent uses
for parallel processing include modeling, simulation, and analyzing large
amounts of data.
Rationale:
Parallel processing is the simultaneous execution of the same task on multiple processors to obtain results
more quickly. The most frequent uses for parallel processing include modeling, simulation, and analyzing
large amounts of data.
Question 3
pts