1. To locate a data item for storage is






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MCQ->I have a total of Rs. 1,000. Item A costs Rs. 110, item B costs Rs. 90, item C costs Rs. 70, item D costs Rs. 40 and item E costs Rs. 45. For every item D that I purchase, I must also buy two of item B. For every item A, I must buy one of item C. For every item E, I must also buy two of item D and one of item B. For every item purchased I earn 1,000 points and for every rupee not spent I earn a penalty of 1,500 points. My objective is to maximise the points I earn. What is the number of items that I must purchase to maximise my points?....
MCQ->What is the ratio between the marled price of two identical items, P and Q, which had been purchased at the same price ? I. Item P was sold at a profit of 20%, while item Q was sold at a loss of 10%. II. Item P was sold at a discount of 4%. The percentage by which Item Q’s cost price had been marked up is 2.5 times the profit % earned on selling item P. III. The overall profit earned on selling items P and Q was 5%.....
MCQ->The cost price of item B is Rs. 150/- more than the cost price of item A. Item A was sold at a profit of 10% and item B was sold at a loss of 20%. If the respective ratio of selling prices of items A and B is 11 : 12, what is the cost price of item B?....
MCQ-> These questions consist of a question and two statements numbered I and H given below it. You have to decide whether the data provided in the statements are sufficient to answer the question. Read both the statements and mark the appropriate answer. Give answer : Topic:banking-reasoning-data-sufficiency a: The data even in both statements I and II together are not sufficient to answer the question. b: The data in statement I alone are sufficient to answer the question while the data in statement II alone are not sufficient to answer the question. c: The data either in statement I alone or in statement II alone are sufficient to answer the question. d: The data in both statements I and II together are necessary to answer the question. e: The data in statement II alone are sufficient to answer the question while the data in statement I are not sufficient to answer the question.In a building, the ground floor is numbered one, first floor is numbered two and so on till the topmost floor is numbered five. Amongst five people- M, N, O, P and Q, each living on a different floor, but not necessarily in the same order, on which floor does Q live ? I. O lives on an odd numbered floor. M lives immediately below O. Only two people live between M and P. N lives neither immediately below M nor immediately below P. II. N lives on an even numbered floor. Only two people live between N and O. Only one person lives between O and Q.....
MCQ-> Read the following passage carefully and answer’ the questions. Certain words/phrases are given in bold to help you locate them while answering some of the questions.Since its creation in the 17th century, insurers have amassed policies in each class of risk they cover. Thanks to technology, insurers now have access to more and more information about the risks that individuals run. Car insurers have begun to set premiums based on how actual drivers behave, with “telematic” tracking devices to show how often they speed or slam, on the brakes. Analysts at Morgan Stanley, a bank, predict that damage to insured homes will fall by 4060% if smart sensors are installed to monitor, say, frayed electrical wiring. Some health insurers provide digital fitness bands to track policyholders’ vital signs— and give discounts if they lead a healthier life. But the data can °lily go so far. Even the safest driver can be hit by a falling tree; people in connected homes still fall off ladders, but the potential gains from smart insurance are  large. First, giving people better insights into how they are managing risk should help them change their behaviour for the better. Progressive, an American car insurer, tells customers who use its trackers where they tend to drive unsafely; they crash less often as a result. Second, pricing will become keener for consumers. The insurance industry made $338 billion in profits last year. More accurate risk assessment should result in lower premiums for many policyholders. Third, insurers should be able to spot fraud more easily, by using data to verify claims.But two worries stand out. One is a fear that insurers will go from being companies you hope never to deal with to ones that watch your every move. The other, thornier problem is that insurers will cherry pick the good risks, leaving some people without a safety net or to be taken care of by the state. Forgone privacy is the price the insured pay for receiving personalised pricing. Many people are indeed willing to share their data, but individuals should always have to opt in to do so. Some worry that this safeguard may not be enough; the financial costs of not sharing data may be so great that people have no real choice over whether to sign up. The second concern is the worry that more precise underwriting will create a class of uninsurable people, selected out of insurers’ businesses because they are too high a risk. For some types of cover, that would be a reasonable outcome. People who choose to drive like maniacs should have a hard time getting insurance. By the same token, it makes sense to offer rewards, in the form of discounts to premiums, to customers who behave well. Incentivising people to eat better, exercise regularly, drink in moderation and avoid smoking would reap huge health dividends. Where things get harder is with risks that individuals can not control. There are few things that people have less choice about than their genes. One option is to distort the market by requiring insurers to be blind to genetic data. In 2011, for example, Europe banned insurers from using gender to calculate annuities. Now that a man’s shorter lifespans are no longer taken into account that has led to lower payments. Until the interplay between nature and nurture is better understood, it is right to be cautious. Insurers should be able to take note of customers’ behaviour, but not exploit information from genetic testing. However, as data analysis and the understanding of genetics improve, that line will only become harder to hold.Which of the following can be said about the insurance industry ?
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