Dear Aspirants,
Today, SBI has conducted the Preliminary exam for the post of Probationary Officers (PO).
The exam is being conducted in 4 slots on various shifts i.e 9 am, 11.30 am, 2 pm, 4.30 pm. Most of you have appeared for the same. The overall level of today’s exam was of moderate to tough level.
The pattern of the exam is as follows:
Below is the detail analysis of all the sections
Level – Moderate
1. Reading Comprehension – 10 Qs
1st slot – RC was based on South Asia
2nd slot – RC was based onWomen work on various companies
2. Cloze test – 5 Qs (Easy) Technology
3. Parajumble – 5 QS (Moderate) – based on – Health Advancement in India
4. Spotting Error – 5 Qs (Moderate)
5. Fill in the blanks – 5 Qs (Easy) Double filler
Note: No Sentence Improvement Question asked in all 4 shifts of today’s exam.
II. Reasoning Ability (35 Qs)
Level – Moderate to Tough
1. Puzzle – 5 Qs -(Moderate to Tough)
1st slot – 7 cities, 7 persons, 3 colleges
2nd slot – 7 people 3 countries 7 different likes
2. Puzzle – 5 Qs ( Moderate) box upon box, inside box note books etc.
3. Linear Puzzle – 5 Qs – (Tough) 8 people sitting and facing North South in same line
5. Puzzle – 5 Qs ( Easy) – 8 people likes different colours
6. Inequality – 5 Qs (direct)
7. Ranking & Direction puzzle (A, B, C score marks)- 3 Qs (Easy t0 moderate)
8. Blood Relation – 2 Qs (Moderate)
Note: No syllogism & Coding Decoding asked in all 4 shifts of today’s exam.
III. Quantitative Aptitude
Level – Moderate
1. Number Series – 5 Qs (Moderate)
2. Data Interpretation – 2 set (10 Qs) – One Bar Grpah DI was easy & Table graph based DI is moderate
1st slot – One Bar Grpah DI was easy & Table graph(5 colleges, 5 courses) based DI is moderate
2nd slot – 2 set (10 Qs) – One Bar Grpah DI was easy & Table graph(coaching institute) based DI is moderate
3. Approximation – 5 Qs (Easy)
4. Quadratic Equation – 5 Qs (Easy)
5. Miscellaneous – 10 Qs (Moderate)
Note: No Missing DI asked in all 4 shifts of today’s exam.
Some of the Questions are shared below which was asked in today’s exam!
I. English Section
Reading Comprehension –
RC asked in 4th slot
RC was based on Women Entrepreneurship
Entrepreneurship is crucial to economic development and to promoting social integration and reducing inequalities. OECD Entrepreneurship at a Glance presents an original collection of indicators that measure the state of entrepreneurship, providing an important reference for policy insights and policy making.Perceived risks are higher for women. One important determinant of entrepreneurship relates to the relative risk involved, or rather assessment of risk. This is to a large extent determined by risk of failure but also reflects other factors, such as social security safety nets, access to finance, access to child-care, and indeed potential rewards; which helps to explain the significant differences across countries on how the entrepreneurial risk is perceived. One pattern, however, is remarkably consistent women, the world over, are less prone to taking the entrepreneurial plunge. Germany is no exception to this pattern with 42% of men but only 23% of women expressing a preference for starting their own business rather than working for someone else. These values are much lower than in the United States and Canada. Moreover, the gender gap in perception of risk is one of the highest in the OECD countries.Most countries in the OECD area exhibit a significant gender gap with regards to access to training to create and grow a start-up, a characteristic that is also true for Germany, with 54% of men and 38% of women declaring that they would have access to training to set up a business.
Similar gender gaps exist across the world regarding access to finance. Although the share of German women declaring that access to money is not a barrier to starting a business (32%) is above the OECD average (27%), it is well below the equivalent share for men (49%)Potential rewards are also an important determinant of risk assessment in most countries. Earnings from self-employment are typically lower for women then for men. In 2011-12, German women entrepreneurs earned 43% less than their male counterparts, while the OECD average was 33%. Between 2006-7 and more recent years the gender gap in self-employment earnings in Germany has increased by 1 percentage pointThese findings should not be understood as a general a version of women towards entrepreneurship. Indeed, as in many other OECD countries, in Germany, too, more women
than men see entrepreneurs as positive role models for the youth Self-employment rates are often used as an important indicator of entrepreneurialism. The shares of employed German women who are self-employed with employees (2.4%) or are own-account workers (4.6%) are respectively above and below the OECD average Differences across countries partly reflect ‘push’, notably limited paid employment opportunities, as well as ‘pull’ factors. However, in most OECD countries the gap between the proportions of male and female entrepreneurs with employees (3.5 percentage points on average) is similar to the gender gap between the shares of own-account workers (4.1 percentage points on average). German women entrepreneurs work predominantly in the services sector, as is also the case in most other OECD countries. In many countries, though, evidence for young female
entrepreneurs points to considerable diversity of the activity sector.
RC asked in 1st Slot – based on South Asia
RC asked in 3rd Slot – based on Women
RC asked in 4th Slot – based on Women Entrepreneurship
Cloze Test – In all shifts cloze test was based on Technology
Cloze test asked in today’s exam (based on this paragraph) –
Another session, the very same day, analyzed how exactly the opposite is true and how new technologies actually cause stress and suffering, because of a concept referred to as “Infobesity.” During this session, Delphine Remy-Boutang — the founder and CEO of The Social Bureau — and Christophe Aguiton — researcher at the Orange Labs — argued that due to the acceleration of our lives led by the acceleration of technology, we have changed the way we consume and generate information. People are trying to live 10 lives at once and a lot of stress and anxiety occurs from that. The two speakers even argue that we are suffering from digital bulimia, meaning that we take in a lot of information at once, without really processing it for ourselves, and in turn create a lot of new information. Thus, as Christophe Aguiton says, “We are at the same time creators and victims of information overload.”Thus, it is obvious that technological advancement has failed at its mission of making everybody’s life easier, as many people are reacting negatively to it. As Dolphine Remy-Boutant put it: “It is really a paradox: On the one hand, the technology we are surrounding ourselves with is designed to give us more time for ourselves — which is something we all want. However, today, while technology is as developed as ever before, we are living in a time with the biggest scarcity of time.”
Antonym & Synonym asked in today’s exam
1. caters
2. faded
3. implausible
4. benign
5. stunts
II. Quantitative Aptitude
Number Series Questions asked –
1. 5 7 17 55 225 ?
2. 250 235 205 160 ?
3. 20 ? 29 40 58 85
4. 10 6 8 15 34 ?
Some pattern of Number Series
1)0.5+1, 1+2, 1.5+3…..
2)3*2, 3*3, 3*5,3*8…..
3)14*1, 14*2, 14*3,….
Miscellaneous Questions –
Qs asked in 2nd slot (memory based)
1. Initial ratio of milk and water was given , then some mixture was taken out and replaced with water. Then initial quantity of mixture?
2. Red and green balls were given, and the probablity of atleast one ball to be red when 2 balls were picked was asked.
3. 12 red bals nd 4 green ball… 2 balls are drawn at random. Find the prob that atleast one green ball is drawn.
4. Aju is twice the age tan biju and three years elder tan chitu. Three years hence biju’s and chitu’ age ratio 5:3… find age aju three years hence.
Similar gender gaps exist across the world regarding access to finance. Although the share of German women declaring that access to money is not a barrier to starting a business (32%) is above the OECD average (27%), it is well below the equivalent share for men (49%)Potential rewards are also an important determinant of risk assessment in most countries. Earnings from self-employment are typically lower for women then for men. In 2011-12, German women entrepreneurs earned 43% less than their male counterparts, while the OECD average was 33%. Between 2006-7 and more recent years the gender gap in self-employment earnings in Germany has increased by 1 percentage pointThese findings should not be understood as a general a version of women towards entrepreneurship. Indeed, as in many other OECD countries, in Germany, too, more women
than men see entrepreneurs as positive role models for the youth Self-employment rates are often used as an important indicator of entrepreneurialism. The shares of employed German women who are self-employed with employees (2.4%) or are own-account workers (4.6%) are respectively above and below the OECD average Differences across countries partly reflect ‘push’, notably limited paid employment opportunities, as well as ‘pull’ factors. However, in most OECD countries the gap between the proportions of male and female entrepreneurs with employees (3.5 percentage points on average) is similar to the gender gap between the shares of own-account workers (4.1 percentage points on average). German women entrepreneurs work predominantly in the services sector, as is also the case in most other OECD countries. In many countries, though, evidence for young female
entrepreneurs points to considerable diversity of the activity sector.
2. faded
3. implausible
4. benign
5. stunts
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