In which of the following a virtual call is resolved at the time of compilation? ?->(Show Answer!)

1. In which of the following a virtual call is resolved at the time of compilation?

Write Comment

Comments

Tags

Show Similar Question And Answers

QA->Recently, which of the following Indian bank has launched a virtual queuingmobile application that will help customers save on time ?....

QA->What is the total earnings of a worker from the following data? Standard time for completing the job 50 hours. Actual time taken for completing the job 45 hours. Time rate is Rs.20 per hour, premium bonus is 60% of time saved.....

QA->Indian environmentalist who has been named as one of the seven most powerful feminists in the world, according to a compilation in Forbes magazine?....

QA->Renowned Indian-origin academician who has been named alongside US Federal Reserve chairman Ben Bernanke and Nobel laureate Paul Krugman among the seven most powerful economists in the world, according to a compilation in Forbes magazine?....

QA->AsiaPacific countries have resolved to take which approach to urban planning?....

MCQ-> Read the following passage carefully and answer the given questions. Certain words/phrases have been given in bold to help you locate them while answering some of the questions. Virtual currencies are growing in popularity. While the collective value of virtual currencies is still a fraction of the total U.S. Dollars in circulation, the use of virtual currencies as a payment mechanism of transfer of value is gaining momentum. Additionally, the number of entities (issuers, exchangers and intermediaries, to name just a few) that engage in virtual currency transactions is increasing and these entities often need access to traditional banking services.Virtual currencies are digital representations of value that function as a medium of exchange, a unit of account and a store of value (buy now redeem later policy). In many cases, virtual currencies are “convertible” currencies; they are not legal lenders, but they have an equivalent value in real currency. Despite what seems to be a tremendous interest in virtual currencies their overall value is still extremely small relative to other payment mechanisms, such as cash, cheques and credit and debit cards. The virtual currency landscape includes many participants from the merchant that accepts the virtual currency, to the intermediary that exchanges the virtual currency on behalf of the merchant, to the exchange that actually converts the virtual currency to the real currency to the electronic wallet provider that holds the virtual currency on behalf of its owner. Accordingly, opportunities abound for community banks to provide services to entities engaged in virtual currency activities. Eventually, it is also possible that community banks may find themselves holding virtual currency on their own balance sheets.Launched in 2009, Silicon is currently the largest and most popular virtual currency. However, many other virtual currencies have emerged over the past few years, such as Litecoin, Dogecoin, Peercoin and these provide even more anonymity to its users than that provided by Bitcoin.As the virtual currency landscape is fraught with dangers, what important risks should community bankers consider?The most significant is compliance risk- a subset of legal risk. Specifically, virtual currency administrators or legal exchangers may present risks similar to other money transmitters, as well in presenting their own unique risks. Quite simply, many users of virtual currencies do so because of the perceptions that transactions conaucted using virtual currencies are anonymous. The less-than transparent nature of the transactions, :nay make it more difficult for a inancial institution to truly know and understand the activities of its customer and whether the customer’s activities are legal. Therefore, these transactions may present a higher risk for banks and require additional due diligence and monitoring.Another important risk for community banks to consider is credit risk. How should a community bank respond if a borrower wants to specifically post Bitcoin or another virtual currency as collateral for a loan? For many, virtual currencies are simply another form of cash, so it is not hard to analyse that bankers will face such a scenario at some point. In this case, caution is appropriate. Bankers should carefully weigh the pros and cons of extending any loan secured by Bitcoin or other virtual currencies (in whole or in part), or where the source of loan repayment is in some way dependent on the virtual currency. For one, the value of Bitcoin in particular has been volatile. Then, the collateral value could fluctuate widely from day-to-day. Bankers also need to think about control over the account. ‘How does the banker control access to a virtual wallet, and how can it control the borrower’s access to the virtual wallet? In the event of a loan default, the bank would need to take control of the virtual currency. This would require access to the borrower’s virtual wallet and private key. All of this suggests that the loan agreement needs to be carefully crafted and that additional steps need to be taken to ensure the bank has a perfected lift on the virtual currency.Virtual currencies bring with them, both opportunities and challenges, and they are likely here to stay. Although, it is too early to determine just how prevalent they will be in the coming years, we too expect that the virtual participants in the virtual currency ecosystem will increasingly intersect with the banking industry.Which of the following is the meaning of the phrase ‘fraught with dangers’ as mentioned in the passage?
....

MCQ->Which of the following are valid .NET CLR JIT performance counters? Total memory used for JIT compilation Average memory used for JIT compilation Number of methods that failed to compile with the standard JIT Percentage of processor time spent performing JIT compilation Percentage of memory currently dedicated for JIT compilation....

MCQ->In which of the following a virtual call is resolved at the time of compilation?....

MCQ->Which of the following are necessary for Run-time Polymorphism? The overridden base method must be virtual, abstract or override. Both the override method and the virtual method must have the same access level modifier. An override declaration can change the accessibility of the virtual method. An abstract inherited property cannot be overridden in a derived class. An abstract method is implicitly a virtual method.....

MCQ-> People are continually enticed by such "hot" performance, even if it lasts for brief periods. Because of this susceptibility, brokers or analysts who have had one or two stocks move up sharply, or technicians who call one turn correctly, are believed to have established a credible record and can readily find market followings. Likewise, an advisory service that is right for a brief time can beat its drums loudly. Elaine Garzarelli gained near immortality when she purportedly "called" the 1987 crash. Although, as the market strategist for Shearson Lehman, her forecast was never published in a research report, nor indeed communicated to its clients, she still received widespread recognition and publicity for this call, which was made in a short TV interview on CNBC. Still, her remark on CNBC that the Dow could drop sharply from its then 5300 level rocked an already nervous market on July 23, 1996. What had been a 40-point gain for the Dow turned into a 40-point loss, a good deal of which was attributed to her comments.The truth is, market-letter writers have been wrong in their judgments far more often than they would like to remember. However, advisors understand that the public considers short-term results meaningful when they are, more often than not, simply chance. Those in the public eye usually gain large numbers of new subscribers for being right by random luck. Which brings us to another important probability error that falls under the broad rubric of representativeness. Amos Tversky and Daniel Kahneman call this one the "law of small numbers.". The statistically valid "law of large numbers" states that large samples will usually be highly representative of the population from which they are drawn; for example, public opinion polls are fairly accurate because they draw on large and representative groups. The smaller the sample used, however (or the shorter the record), the more likely the findings are chance rather than meaningful. Yet the Tversky and Kahneman study showed that typical psychological or educational experimenters gamble their research theories on samples so small that the results have a very high probability of being chance. This is the same as gambling on the single good call of an advisor. The psychologists and educators are far too confident in the significance of results based on a few observations or a short period of time, even though they are trained in statistical techniques and are aware of the dangers.Note how readily people over generalize the meaning of a small number of supporting facts. Limited statistical evidence seems to satisfy our intuition no matter how inadequate the depiction of reality. Sometimes the evidence we accept runs to the absurd. A good example of the major overemphasis on small numbers is the almost blind faith investors place in governmental economic releases on employment, industrial production, the consumer price index, the money supply, the leading economic indicators, etc. These statistics frequently trigger major stock- and bond-market reactions, particularly if the news is bad. Flash statistics, more times than not, are near worthless. Initial economic and Fed figures are revised significantly for weeks or months after their release, as new and "better" information flows in. Thus, an increase in the money supply can turn into a decrease, or a large drop in the leading indicators can change to a moderate increase. These revisions occur with such regularity you would think that investors, particularly pros, would treat them with the skepticism they deserve. Alas, the real world refuses to follow the textbooks. Experience notwithstanding, investors treat as gospel all authoritative-sounding releases that they think pinpoint the development of important trends. An example of how instant news threw investors into a tailspin occurred in July of 1996. Preliminary statistics indicated the economy was beginning to gain steam. The flash figures showed that GDP (gross domestic product) would rise at a 3% rate in the next several quarters, a rate higher than expected. Many people, convinced by these statistics that rising interest rates were imminent, bailed out of the stock market that month. To the end of that year, the GDP growth figures had been revised down significantly (unofficially, a minimum of a dozen times, and officially at least twice). The market rocketed ahead to new highs to August l997, but a lot of investors had retreated to the sidelines on the preliminary bad news. The advice of a world champion chess player when asked how to avoid making a bad move. His answer: "Sit on your hands”. But professional investors don't sit on their hands; they dance on tiptoe, ready to flit after the least particle of information as if it were a strongly documented trend. The law of small numbers, in such cases, results in decisions sometimes bordering on the inane. Tversky and Kahneman‘s findings, which have been repeatedly confirmed, are particularly important to our understanding of some stock market errors and lead to another rule that investors should follow.Which statement does not reflect the true essence of the passage? I. Tversky and Kahneman understood that small representative groups bias the research theories to generalize results that can be categorized as meaningful result and people simplify the real impact of passable portray of reality by small number of supporting facts. II. Governmental economic releases on macroeconomic indicators fetch blind faith from investors who appropriately discount these announcements which are ideally reflected in the stock and bond market prices. III. Investors take into consideration myopic gain and make it meaningful investment choice and fail to see it as a chance of occurrence. IV. lrrational overreaction to key regulators expressions is same as intuitive statistician stumbling disastrously when unable to sustain spectacular performance.....