Questions Asked in OICL AO Prelims Exam 22 October 2017

QUESTIONS ASKED IN OICL AO PRELIMS 22 OCTOBER 2017 - SLOT 1

Number Series Questions:
1. 4, 7, 12, 21, 36, ?                      Ans – 59
2. 3, 4, 10, 33, 136, ?                    Ans – 685
3. 19.2, 22.6, 15.8, 29.4, 2.2, ?     Ans – 56.6
4. 9, 6.5, 8.5, 19, 78, ?                  Ans – 626
5. 106, 110, 94, 130, ?, 166          Ans – 66
There were only 02 sets of DI:
1. Line Graph (Boys and Girls)
2. Tabular (Worker and Manager)
• Questions were asked from Partnerships, Profit & Loss, Problem on ages, Time & Work, Time Speed & Distance, Simple & Compound Interest etc.

1. Six persons having different heights given. K is shorter than only two persons. J is shorter than m but longer than O. M is not the longest. L is shorter than K. Find the shortest?
2. Eight boxes A, B, C, D, J, K, L, M are arranged in a eight stack but not necessarily in the same order. A placed either top or lower stack of the shelf. No boxes between A and M. Three boxes between M and L. Number of boxes below L same as above B. J placed below B but above L. Three boxes between J and C. K doesn’t placed immediately above C.
• The arrangement for the above questions will be
3. 03 questions from syllogism.
4. 05 questions from box puzzle
5. 03 questions from directions.
6. A scheduling puzzle involving people, month and the colour they like.
7. A Circular arrangement with some people facing inside and some facing outside.
8. A Linear arrangement, with 7 people sitting in a single row facing north.
9. No questions were asked from blood relation.

1. Reading Comprehension - Arctic Sea Polythene Accession.
2. Antonyms of “Aggravate” & “Closely”?
3. 10 questions on error detection.
4. 05 questions from sentence improvement.
5. 05 questions from fill in the blanks.

QUESTIONS ASKED IN OICL AO PRELIMS 22 OCTOBER 2017 - SLOT 2

1. Tabular Graph – Total number of employees (Workers+Managers) working in 5 different companies A, B, C, D, E.

1. Circular Arrangement - Persons sitting a circle & all of them are facing towards center. One more variable was given.
2. Schedule Based -A girl buying different flower from different stores in different days of a week (Sun, Mon, Tue, Wed, Thurs, Fri, Sat)
3. Liner Arrangement -7 People like 7 different colours & sitting in two parallel rows.
4. Puzzle set asked in OICL AO Preliminary Examination 2017
Nitya buys seven different items on seven different days of the week starting from Monday and ending on Sunday. She bought the items from seven different stores X, Y, O, P, M, N and Z. The items are phone, blanket, wallet, laptop, watch, sofa and perfume. All the given information should not necessarily in the same order.
Nitya buys laptop on Wednesday. Only one item was bought between Wednesday and the item which was bought from X. Wallet was bought between the items which were bought from store X and Y but not in Tuesday. Only three items were bought between the items which were bought from store X and Y. Only two items were bought between sofa and wallet.
Only one item was bought between sofa and blanket. Perfume was bought immediately before the item which was bought from store Z. Perfume was bought from neither P nor Y. Phone was not bought in Tuesday.

Note: In second shift No syllogism was asked

Air pollution—particulates tossed into the air from car exhaust, factory fumes, and power plants—is nasty stuff. Breathing it in causes damage to your lung tissue. It can trigger asthma attacks. It increases the risk of heart attacks, strokes, and lung cancer. And now, researchers writing in Environmental Microbiology have found that in addition to these unpleasant effects, the common pollutant black carbon seems to do something even more insidious: It alters the behavior of pathogenic bacteria.
The idea for the study came from a casual conversation with an atmospheric chemist, says Julie Morrissey, a University of Leicester biologist who studies the effect of stress on bacteria. The two scientists had dropped their respective children off at school and were walking back to the university, talking, when they realized no one had actually studied how bacteria respond to pollution.
“They’d looked at the effect [of air pollution] on the immune system, like human cells, but never on the actual bacteria themselves,” Morrissey says.“We thought, well, this is really relevant.”
Respiratory-disease rates are known to climb with air pollution. To what extent that’s a result of tissue damage from the particulates, alterations in the immune system, or some other factor—like a shift in bacterial behavior—is not yet clear. Bacteria that form communities in the lungs and skin are exposed to pollution, too.
To investigate what happens in these situations, Morrissey’s graduate student Shane Hussey applied black carbon, a major component of air pollution, to colonies of Streptococcus pneumoniae and Staphylococcus aureus. These microbes often live quite peacefully in and on humans, but can also go rogue: They are known for their roles in bacterial pneumonia and dangerous skin infections, respectively.
Hussey added the carbon while the bacteria were in the process of assembling into fortress-like slabs called biofilms. He soon observed that the biofilms made under the influence of carbon looked quite different from biofilms that had no treatment or simply had harmless quartz crystals added: They were significantly thicker, and S. pneumoniae showed large channels or holes, while S. aureus had numerous lumps or protrusions. Because biofilms are known to help bacteria avoid antibiotics, changes in their structure can have an effect on the bacterium’s ability to cause disease.
When the team added antibiotics to the equation, they found that with black carbon, S. pneumoniae had increased resistance to penicillin, which is used to treat pneumonia. Some S. aureus strains also showed slightly decreased sensitivity to antibiotics. “We think it makes them more protected,” Morrissey says of the alterations to the biofilm structure. And when the team mixed black carbon and S. pneumoniae and placed them in the noses of mice, they saw that over the course of the study the bacteria spread down to the lungs, often a harbinger of serious infection. In control mice, without the black carbon, this did not happened.
The nature of these experiments—in dishes and mice, not in people or models of human infection—means that that their true significance has not really been established, Morrissey warns. Some of the data indicate that black carbon could be damaging to at least some strains of S. aureus, rather than provoking them to greater feats of self-protection. Some strains became more sensitive to antibiotics.
Still, at least in the snapshots this work provides, “we think what’s happening is we’re increasing their ability to colonize ... and making them able to protect themselves better,” Morrissey says. That’s troubling, and bears further investigation. More than 90 percent of the world’s population lives in regions where air-pollution levels, calculated in part from the concentration of black carbon and similar particulates, are over the WHO’s recommendations for health.
And a larger question looms: Could it be that air pollution disrupts people’s existing microbiomes in the nose and other tissues? Could this make them more vulnerable to infection? “Where this is really important is the microbiota,” says Morrissey, who is planning studies on the subject. If the native bacteria’s numbers or biology are altered by pollution, they could make space for newcomers with more malevolent tendencies—or even, in the end, turn against us themselves.
1. Antonyms of “Casual” & “Nasty”.
2. Synonyms of “Shift” & “Strain”.

QUESTIONS ASKED IN OICL AO PRELIMS 22 OCTOBER 2017 - SLOT 3

–Will be updated shortly–

1. Liner Arrangement: (8 People, some are facing south while some are facing north)
2. Floor Based Puzzle: (8 people with 8 colour, 2 variables)
3. Box Based: (5 boxes, 2 variable)
4. Machine Input Output –
• Input – 57, 38, 64, 97, 11, 13, 45, 23, 85, 72
1. Step 1 – 110, 130, 57, 38, 64, 97, 45, 23, 85, 72
2. Step 2 – 970, 850, 110, 130, 57, 38, 64, 45, 23, 72
3. Step 3 – 230, 380, 970, 850, 110, 130, 57, 64, 45, 72
4. Step 4 – 720, 640, 230, 380, 970, 850, 110, 130, 57, 45
5. Step 5 – 450, 570, 720, 640, 230, 380, 970, 850, 110, 130

1. Reading Comprehension - Noise Pollution based on Wildlife Oriented.
2. There was 1 question on Antonyms and 2 question on synonyms with the passage.
3. Note: No Coding-decoding was asked in the third shift