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Question 1
C
Be sure to select an answer first to save it in the Error Log before revealing the correct answer (OA)!
Difficulty:
15%
(low)
Question Stats:
79% (02:46) correct
21%
(02:16) wrong
based on 135
sessions
History
Date
Time
Result
Not Attempted Yet
Question 2
C
Be sure to select an answer first to save it in the Error Log before revealing the correct answer (OA)!
Difficulty:
45%
(medium)
Question Stats:
59% (01:08) correct 41%
(01:15) wrong
based on 170
sessions
History
Date
Time
Result
Not Attempted Yet
Question 3
E
Be sure to select an answer first to save it in the Error Log before revealing the correct answer (OA)!
Difficulty:
65%
(hard)
Question Stats:
46% (01:29) correct 54%
(01:18) wrong
based on 160
sessions
History
Date
Time
Result
Not Attempted Yet
Question 4
B
Be sure to select an answer first to save it in the Error Log before revealing the correct answer (OA)!
Difficulty:
35%
(medium)
Question Stats:
62% (00:59) correct 38%
(01:22) wrong
based on 157
sessions
History
Date
Time
Result
Not Attempted Yet
Question 5
C
Be sure to select an answer first to save it in the Error Log before revealing the correct answer (OA)!
Difficulty:
15%
(low)
Question Stats:
80% (00:50) correct 20%
(01:07) wrong
based on 142
sessions
History
Date
Time
Result
Not Attempted Yet
Question 6
B
Be sure to select an answer first to save it in the Error Log before revealing the correct answer (OA)!
Difficulty:
45%
(medium)
Question Stats:
49% (00:57) correct 51%
(00:57) wrong
based on 146
sessions
History
Date
Time
Result
Not Attempted Yet
Question 7
A
Be sure to select an answer first to save it in the Error Log before revealing the correct answer (OA)!
Difficulty:
35%
(medium)
Question Stats:
62% (01:13) correct 38%
(01:35) wrong
based on 141
sessions
History
Date
Time
Result
Not Attempted Yet
Question 8
E
Be sure to select an answer first to save it in the Error Log before revealing the correct answer (OA)!
Difficulty:
5%
(low)
Question Stats:
86% (00:54) correct 14%
(01:28) wrong
based on 134
sessions
History
Date
Time
Result
Not Attempted Yet
Passage A
Recent studies have shown that sophisticated
computer models of the oceans and atmosphere are
capable of simulating large-scale climate trends with
remarkable accuracy. But these models make use of
(5) large numbers of variables, many of which have wide
ranges of possible values. Because even small
differences in those values can have a significant
impact on what the simulations predict, it is important
to determine the impact when values differ even
(10) slightly.
Since the interactions between the many variables
in climate simulations are highly complex, there is no
alternative to a “brute force” exploration of all
possible combinations of their values if predictions
(15) are to be reliable. This method requires very large
numbers of calculations and simulation runs. For
example, exhaustive examination of five values for
each of only nine variables would require 2 million
calculation-intensive simulation runs. Currently
(20) available individual computers are completely
inadequate for such a task.
However, the continuing increase in computing
capacity of the average desktop computer means that
climate simulations can now be run on privately
(25) owned desktop machines connected to one another
via the Internet. The calculations are divided among
the individual desktop computers, which work
simultaneously on their share of the overall problem.
Some public resource computing projects of this kind
(30) have already been successful, although only when
they captured the public’s interest sufficiently to
secure widespread participation.
Passage B
Researchers are now learning that many problems
in nature, human society, science, and engineering are
(35) naturally “parallel”; that is, that they can be
effectively solved by using methods that work
simultaneously in parallel. These problems share the
common characteristic of involving a large number of
similar elements such as molecules, animals, even
(40) people, whose individual actions are governed by
simple rules but, taken collectively, function as a
highly complex system.
An example is the method used by ants to forage
for food. As Lewis Thomas observed, a solitary ant is
(45) little more than a few neurons strung together by
fibers. Its behavior follows a few simple rules. But
when one sees a dense mass of thousands of ants,
crowded together around their anthill retrieving food
or repelling an intruder, a more complex picture
(50) emerges; it is as if the whole is thinking, planning,
calculating. It is an intelligence, a kind of live
computer, with crawling bits for wits.
We are now living through a great paradigm shift
in the field of computing, a shift from sequential
(55) computing (performing one calculation at a time) to
massive parallel computing, which employs
thousands of computers working simultaneously to
solve one computation-intensive problem. Since many
computation-intensive problems are inherently
(60) parallel, it only makes sense to use a computing
model that exploits that parallelism. A computing
model that resembles the inherently parallel problem
it is trying to solve will perform best. The old
paradigm, in contrast, is subject to the speed limits
(65) imposed by purely sequential computing.
Recent studies have shown that sophisticated
computer models of the oceans and atmosphere are
capable of simulating large-scale climate trends with
remarkable accuracy. But these models make use of
(5) large numbers of variables, many of which have wide
ranges of possible values. Because even small
differences in those values can have a significant
impact on what the simulations predict, it is important
to determine the impact when values differ even
(10) slightly.
Since the interactions between the many variables
in climate simulations are highly complex, there is no
alternative to a “brute force” exploration of all
possible combinations of their values if predictions
(15) are to be reliable. This method requires very large
numbers of calculations and simulation runs. For
example, exhaustive examination of five values for
each of only nine variables would require 2 million
calculation-intensive simulation runs. Currently
(20) available individual computers are completely
inadequate for such a task.
However, the continuing increase in computing
capacity of the average desktop computer means that
climate simulations can now be run on privately
(25) owned desktop machines connected to one another
via the Internet. The calculations are divided among
the individual desktop computers, which work
simultaneously on their share of the overall problem.
Some public resource computing projects of this kind
(30) have already been successful, although only when
they captured the public’s interest sufficiently to
secure widespread participation.
Passage B
Researchers are now learning that many problems
in nature, human society, science, and engineering are
(35) naturally “parallel”; that is, that they can be
effectively solved by using methods that work
simultaneously in parallel. These problems share the
common characteristic of involving a large number of
similar elements such as molecules, animals, even
(40) people, whose individual actions are governed by
simple rules but, taken collectively, function as a
highly complex system.
An example is the method used by ants to forage
for food. As Lewis Thomas observed, a solitary ant is
(45) little more than a few neurons strung together by
fibers. Its behavior follows a few simple rules. But
when one sees a dense mass of thousands of ants,
crowded together around their anthill retrieving food
or repelling an intruder, a more complex picture
(50) emerges; it is as if the whole is thinking, planning,
calculating. It is an intelligence, a kind of live
computer, with crawling bits for wits.
We are now living through a great paradigm shift
in the field of computing, a shift from sequential
(55) computing (performing one calculation at a time) to
massive parallel computing, which employs
thousands of computers working simultaneously to
solve one computation-intensive problem. Since many
computation-intensive problems are inherently
(60) parallel, it only makes sense to use a computing
model that exploits that parallelism. A computing
model that resembles the inherently parallel problem
it is trying to solve will perform best. The old
paradigm, in contrast, is subject to the speed limits
(65) imposed by purely sequential computing.
1. Which one of the following most accurately expresses the main point of passage B?
(A) Many difficult problems in computing are naturally parallel.
(B) Sequential computing is no longer useful because of the speed limits it imposes.
(C) There is currently a paradigm shift occurring in the field of computing toward parallel computing.
(D) Complex biological and social systems are the next frontier in the field of computer simulation.
(E) Inherently parallel computing problems are best solved by means of computers modeled on the human mind.
(A) Many difficult problems in computing are naturally parallel.
(B) Sequential computing is no longer useful because of the speed limits it imposes.
(C) There is currently a paradigm shift occurring in the field of computing toward parallel computing.
(D) Complex biological and social systems are the next frontier in the field of computer simulation.
(E) Inherently parallel computing problems are best solved by means of computers modeled on the human mind.
2. The large-scale climate trends discussed in passage A are most analogous to which one of the following elements in passage B?
(A) the thousands of computers working simultaneously to solve a calculationintensive problem
(B) the simple rules that shape the behavior of a single ant
(C) the highly complex behavior of a dense mass of thousands of ants
(D) the paradigm shift from sequential to parallel computing
(E) the speed limits imposed by computing purely sequentially
(A) the thousands of computers working simultaneously to solve a calculationintensive problem
(B) the simple rules that shape the behavior of a single ant
(C) the highly complex behavior of a dense mass of thousands of ants
(D) the paradigm shift from sequential to parallel computing
(E) the speed limits imposed by computing purely sequentially
3. It can be inferred that the authors of the two passages would be most likely to agree on which one of the following statements concerning computing systems?
(A) Massive, parallel computing systems are able to solve complex computation-intensive problems without having to resort to “brute force.”
(B) Computer models are not capable of simulating the behavior of very large biological populations such as insect colonies.
(C) Parallel computing systems that link privately owned desktop computers via the Internet are not feasible because they rely too heavily on public participation.
(D) Currently available computers are not wellsuited to running simulations, even if the simulated problems are relatively simple.
(E) Parallel computing systems employing multiple computers are the best means for simulating large-scale climate trends.
(A) Massive, parallel computing systems are able to solve complex computation-intensive problems without having to resort to “brute force.”
(B) Computer models are not capable of simulating the behavior of very large biological populations such as insect colonies.
(C) Parallel computing systems that link privately owned desktop computers via the Internet are not feasible because they rely too heavily on public participation.
(D) Currently available computers are not wellsuited to running simulations, even if the simulated problems are relatively simple.
(E) Parallel computing systems employing multiple computers are the best means for simulating large-scale climate trends.
4. The author of passage A mentions public participation (lines 30–32) primarily in order to
(A) encourage public engagement in the sort of computing model discussed in the passage
(B) identify a factor affecting the feasibility of the computing model advocated in the passage
(C) indicate that government support of largescale computing efforts is needed
(D) demonstrate that adequate support for the type of approach described in the passage already exists
(E) suggest that a computing model like that proposed in the passage is infeasible because of forces beyond the designers’ control
(A) encourage public engagement in the sort of computing model discussed in the passage
(B) identify a factor affecting the feasibility of the computing model advocated in the passage
(C) indicate that government support of largescale computing efforts is needed
(D) demonstrate that adequate support for the type of approach described in the passage already exists
(E) suggest that a computing model like that proposed in the passage is infeasible because of forces beyond the designers’ control
5. Passage B relates to passage A in which one of the following ways?
(A) The argument in passage B has little bearing on the issues discussed in passage A.
(B) The explanation offered in passage B shows why the plan proposed in passage A is unlikely to be implemented.
(C) The ideas advanced in passage B provide a rationale for the solution proposed in passage A.
(D) The example given in passage B illustrates the need for the “brute force” exploration mentioned in passage A.
(E) The discussion in passage B conflicts with the assumptions about individual computers made in passage A.
(A) The argument in passage B has little bearing on the issues discussed in passage A.
(B) The explanation offered in passage B shows why the plan proposed in passage A is unlikely to be implemented.
(C) The ideas advanced in passage B provide a rationale for the solution proposed in passage A.
(D) The example given in passage B illustrates the need for the “brute force” exploration mentioned in passage A.
(E) The discussion in passage B conflicts with the assumptions about individual computers made in passage A.
6. The passages share which one of the following as their primary purpose?
(A) to show that the traditional paradigm in computing is ineffective for many common computing tasks
(B) to argue that a new approach to computing is an effective way to solve a difficult type of problem
(C) to convince skeptics of the usefulness of desktop computers for calculation-intensive problems
(D) to demonstrate that a new computing paradigm has supplanted the traditional paradigm for most large-scale computing problems
(E) to describe complex and as yet unsolved problems that have recently arisen in computing
(A) to show that the traditional paradigm in computing is ineffective for many common computing tasks
(B) to argue that a new approach to computing is an effective way to solve a difficult type of problem
(C) to convince skeptics of the usefulness of desktop computers for calculation-intensive problems
(D) to demonstrate that a new computing paradigm has supplanted the traditional paradigm for most large-scale computing problems
(E) to describe complex and as yet unsolved problems that have recently arisen in computing
7. In calling a population of ants “an intelligence, a kind of live computer” (lines 51–52) the author of passage B most likely means that
(A) the behavior of the colony of ants functions as a complex, organized whole
(B) the paradigm shift taking place in computing was inspired by observations of living systems
(C) computers are agglomerations of elements that can be viewed as being alive in a metaphorical sense
(D) computer simulations can simulate the behavior of large biological populations with great accuracy
(E) the simple rules that govern the behavior of individual ants have been adapted for use in computer simulations
(A) the behavior of the colony of ants functions as a complex, organized whole
(B) the paradigm shift taking place in computing was inspired by observations of living systems
(C) computers are agglomerations of elements that can be viewed as being alive in a metaphorical sense
(D) computer simulations can simulate the behavior of large biological populations with great accuracy
(E) the simple rules that govern the behavior of individual ants have been adapted for use in computer simulations
8. The author of passage B would be most likely to agree with which one of the following statements regarding the computing system proposed in the last paragraph of passage A?
(A) It would be a kind of live computer.
(B) It would be completely inadequate for simulating large-scale climate trends.
(C) It would impose strict limitations on the number of variables that could be used in any simulation it runs.
(D) It would be likely to secure widespread public participation.
(E) It would solve calculation-intensive problems faster than a traditional sequential computer would
(A) It would be a kind of live computer.
(B) It would be completely inadequate for simulating large-scale climate trends.
(C) It would impose strict limitations on the number of variables that could be used in any simulation it runs.
(D) It would be likely to secure widespread public participation.
(E) It would solve calculation-intensive problems faster than a traditional sequential computer would
RC Butler 2022 - Practice Two RC Passages Everyday.
Passage # 319 Date: 10-Aug-2022
This question is a part of RC Butler 2022. Click here for Details
Passage # 319 Date: 10-Aug-2022
This question is a part of RC Butler 2022. Click here for Details
- Source: LSAT Official PrepTest 59
- Difficulty Level: Will be updated after 50+ timer attempts
24 Sep 2023, 08:59
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In Question 1,
we have to find out the main idea of the passage B.
In Passage B, It explains the sequential and parallel computing with the help of ant example. So, we have to find the ans which contains both types of computing
i.e. Ans is (C) There is currently a paradigm shift occurring in the field of computing toward parallel computing.
we have to find out the main idea of the passage B.
In Passage B, It explains the sequential and parallel computing with the help of ant example. So, we have to find the ans which contains both types of computing
i.e. Ans is (C) There is currently a paradigm shift occurring in the field of computing toward parallel computing.
24 Sep 2023, 12:44
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007radhika
Explanation
1. Which one of the following most accurately expresses the main point of passage B?
Explanation
The main point of passage B is that computing is shifting from sequential computing to parallel computing.
A. No. This is too narrow. This presents the reason for the shift, not the shift itself.
B. No. This doesn’t even mention parallel computing, and it goes beyond the passage in stating that sequential computing is no longer useful.
C. Yes. This expresses the overall main point.
D. No. This choice doesn’t mention parallel computing.
E. No. The human mind is irrelevant.
Answer: C
Explanation
The main point of passage B is that computing is shifting from sequential computing to parallel computing.
A. No. This is too narrow. This presents the reason for the shift, not the shift itself.
B. No. This doesn’t even mention parallel computing, and it goes beyond the passage in stating that sequential computing is no longer useful.
C. Yes. This expresses the overall main point.
D. No. This choice doesn’t mention parallel computing.
E. No. The human mind is irrelevant.
Answer: C
