Which of the phrases best describes the girl ?->(Show Answer!)

1. Which of the phrases best describes the girl

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MCQ-> Read the following passage carefully and answer the questions given below it . Certain words have been printed in bold to help you locate them while answering some of the question.There was a girl who sang beautifully at the temple every morning. The music master used to happily recall, “One day when I went into the woods to pluck flowers, I found this baby under a pipal tree”. He picked her up carefully, raised her lovingly as if she were his daughter and taught her to sing before she spoke her first word. The music master grew old and didn’t see too well. The girl tended to him caringly. Many people including young men travelled from far and wide to hear her sing . This made the music master’s heart quake with fear. “You will choose one of them as your husband. What is to become of me ?” The girl replied ,”I shall not be apart from you “. But on a full moon night during the harvest festival, the master’s chief disciple touched his feet reverently and said, “Master, grant me your permission for your daughter has agreed to many me.” The master’s tears flowed freely,” She has chosen well. Go and fetch her let me hear you sing the first of many melodies that you will sing together.” The two began to sing in harmony. But the song was interrupted by the arrival of the royal messenger. “Your daughter is very fortunate– the king has sent for her,” the messenger said. At the palace the queen summoned the girl to her and said, “I place upon you the honour of making sure my daughter is never unhappy at her husband’s home.” There wasn’t a single tear in the girl’s eyes but she thought of the master and her heart was heavy.That very night the princess began her journey to Kambhoj. The princess’s royal chariotled the procession and the girl’s palanquin followed close behind carrying trunks of silk, jewellery and precious stones. It was covered with a velvet sheet and had soldiers on the both sides. As the procession passed, the master and his disciple Kumarsen stood still by wayside. A collective sigh escaped the crowd gathered there wishing that the princess wouldn’t feel homesick in her faraway home.Which of the following can be said about the girl? (A) She was brought up by her father as her mother had died when she was a baby. (B) She was a talented singer who had learnt to sing at an early age. (C) She was only allowed to sing with the master’s permission.....

MCQ-> Read the following passage carefully and answer the questions given below it. Certain words are printed in bold to help you locate them while answering some of the questions.The window offered a view of the house opposite. The two families did not speak to each other because of a property dispute. One day, Ruchira’s textbooks lay untouched as the young girl’s gaze was on the happening in the house opposite. There were two new faces in the neighbouring household — that of an elderly widow and a girl, aged sixteen. Sometimes the elderly lady would sit by the window, doing the young girl’s hair. On other days she was absent.The new young neighbour’s daily routine could be seen through the window – she cleaned the rice, paddy; split nuts, put the cushions in the sun to air them. In the afternoons while the men were all at work some of the women slept and others played cards. The girl sat on the terrace and read. Sometimes she wrote. One day there was a hindrance. She was writing when elderly woman snatched the unfinished letter from her hands. Thereafter the girl was not to be seen on the terrace. Sometimes during the day sounds came from the house indicating that a massive argument was going on inside. A few days passed. One evening Ruchira noticed the girl standing on the terrace in tears. The evening prayer was in progress. As she did daily, the girl bowed several times in prayer. Then she went downstairs. That night Ruchira wrote a letter to befriend her. She went out and posted it that very instant. But as she lay in bed in the night, she prayed fervently that her offer of friendship wouldn’t reach its destination. Ruchira then left for Madhupur and returned when it was time for college to start. She found the house opposite in darkness, locked. They had left.When she stepped into her room she found the desk piled with letters – one had a local stamp on it with her name and address in unfamiliar handwriting. She quickly read it. They continued to write to each other for the next twenty years.Why did Ruchira write a letter to her new neighbour ?
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MCQ-> In the following questions, two columns are given containing three sentences/phrases each. In the first column, sentences/phrases are A, B and C and in the second column, the sentences/phrases are D, E and F. A sentence/phrase from the first column may or may not connect with another sentence/phrase from the second column to make a grammatically and contextually correct sentence. Each question has five options, four of which display the sequence(s) in which the sentences/phrases can be joined to form a grammatically and contextually correct sentence. Select the option that contains the correct sequence in which the phrases can be joined together to form a grammatically correct sentence. If none of the options given forms a correct sentence after combination, mark (e), i.e.“None of these” as your answer and if all the options given form a correct sentence, mark ‘All of these’ as your answer.

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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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