1. Marketing is best suited in_____






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MCQ-> Study the following information carefully and answer the questions given below : Following are the conditions for selecting a Marketing Manager in an organisation The candidate must…………. (i) be at least 25 years and not more than 35 vears old as on 01.12.2011- (ii) be to graduate in any discipline with its least 55% aggregate marks. (iii) have completed Post Graduate Degree/Diploma in Management with specialisation in Marketing Management with at least 60% marks. (iv) have post qualification work experience of at least 5 years as Assistant Marketing Manager in an organisation. in the case of a candidate who fulfills all the conditions except……….. (a) at (ii) above, but has secured at least 50% in graduation and at least 65% in Post Graduate Degree/Diploma in Management with specialisation in Marketing Management, his/her case is to be referred to Head-Marketing. (b) at (ii) above, but is not more than 40 years old and has work experience of 8 years as Assistant Marketing Manager. his/her case is to be referred to Managing Director. In each question below, details of one candidate arc provided. You have to take one of the following courses of actions based on the conditions given above and the information provided in each question and mark the number of that course of action as your answer. You are not to assume anything other than the information provided in each question. All these cases arc given to you as on 01.12.2011. Mark answer : a: if the data provided arc inadequate to take a decision. b: if the candidate is not to he selected. c: if the candidate is to be selected. d: if the t-tise is hi be referred to Head Marketing. e: if the cast is to be relerred to Managing Director. Now read the information provided in each question and mark your answer accordingly.Medha Gosavi was born on 8th March 1982. She has been working as Assistant Marketing Manager in an organisation for the past six years after completing her Post Graduate Degree in Management with specialisation in Marketing Management with 70% marks. She has secured 53% marks in B. Com
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MCQ->Marketing is best suited in_____....
MCQ-> Read the following information carefully and answer the questions given below :Following are the criteria for hiring Marketing Manager in a company The applicant must----- (i) be a post graduate in Marketing Management (ii) be at least 25 years old as on 30.4.2001. (iii) have work experience of at least three years (iv) be ready to work for at least two years after appointed.However, if a candidate--- (a) fulfils all other criteria except at (i) above, but has work experience of more than five years-- the case is to be referred to General Manager-Marketing. (b) fulfils all other criteria except at (iv) above, but has obtained Ph.D. Degree, the case may be referred to Vice President-Marketing.Based on the above criteria and the information given in each case, you have to take the decision in each case. You are not assume anything. The cases are given to you as on 30.4.2001.Shankar Trivedi was born on 27th August, 1972. He has been working since January 1992. He has appeared in the final examination of Part Time Post Graduate Programme in Marketing Management. He is ready to work for five more years.
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MCQ-> Read the passage carefully and answer the given questionsThe complexity of modern problems often precludes any one person from fully understanding them. Factors contributing to rising obesity levels, for example, include transportation systems and infrastructure, media, convenience foods, changing social norms, human biology and psychological factors. . . . The multidimensional or layered character of complex problems also undermines the principle of meritocracy: the idea that the ‘best person’ should be hired. There is no best person. When putting together an oncological research team, a biotech company such as Gilead or Genentech would not construct a multiple-choice test and hire the top scorers, or hire people whose resumes score highest according to some performance criteria. Instead, they would seek diversity. They would build a team of people who bring diverse knowledge bases, tools and analytic skills. . . .Believers in a meritocracy might grant that teams ought to be diverse but then argue that meritocratic principles should apply within each category. Thus the team should consist of the ‘best’ mathematicians, the ‘best’ oncologists, and the ‘best’ biostatisticians from within the pool. That position suffers from a similar flaw. Even with a knowledge domain, no test or criteria applied to individuals will produce the best team. Each of these domains possesses such depth and breadth, that no test can exist. Consider the field of neuroscience. Upwards of 50,000 papers were published last year covering various techniques, domains of enquiry and levels of analysis, ranging from molecules and synapses up through networks of neurons. Given that complexity, any attempt to rank a collection of neuroscientists from best to worst, as if they were competitors in the 50-metre butterfly, must fail. What could be true is that given a specific task and the composition of a particular team, one scientist would be more likely to contribute than another. Optimal hiring depends on context. Optimal teams will be diverse.Evidence for this claim can be seen in the way that papers and patents that combine diverse ideas tend to rank as high-impact. It can also be found in the structure of the so-called random decision forest, a state-of-the-art machine-learning algorithm. Random forests consist of ensembles of decision trees. If classifying pictures, each tree makes a vote: is that a picture of a fox or a dog? A weighted majority rules. Random forests can serve many ends. They can identify bank fraud and diseases, recommend ceiling fans and predict online dating behaviour. When building a forest, you do not select the best trees as they tend to make similar classifications. You want diversity. Programmers achieve that diversity by training each tree on different data, a technique known as bagging. They also boost the forest ‘cognitively’ by training trees on the hardest cases - those that the current forest gets wrong. This ensures even more diversity and accurate forests.Yet the fallacy of meritocracy persists. Corporations, non-profits, governments, universities and even preschools test, score and hire the ‘best’. This all but guarantees not creating the best team. Ranking people by common criteria produces homogeneity. . . . That’s not likely to lead to breakthroughs.Which of the following conditions, if true, would invalidate the passage’s main argument?
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