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Writer-Editorial Content | Updated On - Nov 12, 2024
CLAT 2019 Question Paper with Answer Key PDFs are available for download. The question paper consisted of 40 questions in English and Logical Reasoning sections and 50 questions in General Knowledge and Legal Aptitude sections while Elementary Mathematics section consisted of 20 questions.
CLAT 2019 Question Paper with Answer Key PDFs for UG
CLAT 2019 Question paper with answer key PDFs are provided below for the UG exam:
Set | Question Paper with Answer Key PDF |
---|---|
Set A | Check Here |
Set B | Check Here |
Set C | Check Here |
Set D | Check Here |
CLAT 2019 Question Paper with Answer Key PDFs for PG
Set | Question Paper with Answer Key PDF |
---|---|
Set A | Check Here |
Set B | Check Here |
Set C | Check Here |
Set D |
CLAT 2019 Question Paper Analysis
Sections | Total Questions | Difficulty Level | Topics |
---|---|---|---|
English and Comprehension | 40 | Easy | Reading Comprehension, Sentence Completion, Phrases, Confusing words, Word Usage and Meanings, and Miscellaneous |
General Knowledge and Current Affairs | 50 | Moderately Difficult | Current GK, Static GK, International GK with questions based on UNESCO, ASEAN, etc. |
Elementary Mathematics ( Numerical Ability) | 20 | Easy | SI/CI, Allegation & Mixture, Pipe and cistern, Clock and Calendar, Number System, Profit and Loss, Time, Speed & Distance, Percentage, Mensuration |
Legal Aptitude | 50 | Moderate | Law of Torts, Law of Contract, Constitution, Indian Penal Code, Miscellaneous Laws |
Logical Reasoning | 40 | Easy | Analytical Reasoning, Directions, Relations, Coding Decoding, Syllogism, Series, Verbal reasoning, Verbal Analogies, Odd one out, Miscellaneous |
CLAT 2019 Questions
1. A survey was conducted about the population of a particular region having working population of three lacs and information was collected about self-employed persons, casual wage workers, regular salaries employees of both urban and rural areas of the region. Self-employment is a key source of income in both rural and urban areas but it is more prevalent in rural areas (56% of the rural population) than in urban areas (40% of the urban population). Rural population was 48% of the total population. Regular salaried workers in urban areas were 48% of the urban population whereas in rural areas, regular salaried workers constituted 12% of the rural population. During the survey, the casual wage workers were found to be more common in rural areas than in urban areas. Casual wage workers in rural areas were 32% of the rural population whereas it was 12% of the urban population in urban areas.
Based on the above information, answer the following questions
Based on the above information, answer the following questions
2. Automobiles are the most preferred mode of transport because they allow us to cover large distance quickly. Resultantly, vehicles have been developed that run on diesel, petrol and even on electricity, which is a remarkable innovative development. During a survey about the percentage wise distribution of cars in four different states, the information regarding ratio between the diesel engine cars, petrol engine cars and electric cars was collected. Total number of cars for which data was collected was 8000. Of these, State 1 had 15% of the total cars in the ratio of 3:4:1 (diesel, petrol and electric); State 2 had 20% of the total cars in the ratio of 5:3:2 (diesel, petrol and electric); State 3 had 30% of the total cars in the ratio of 4:5:3 (diesel, petrol and electric), and; State 4 had 35% of the total cars in the ratio of 7:5:2 (diesel, petrol and electric).
Based on the above information, answer the following questions.
Based on the above information, answer the following questions.
3. In a world where aspirations for upward mobility are fervent, the opportunities for achieving such dreams remain limited. When one generation falls short, the mantle of ambition passes to the next, embedding within it a heavy burden of responsibility. Failing to meet these expectations can lead to profound sorrow, and in the direst cases, even to suicide. It’s in this landscape that coaching institutes assume a significant role, cultivating an atmosphere of uncertainty among students and parents. A stark discrepancy emerges between preparation for board examinations and competitive tests, amplifying the inequalities that plague the education system. The coaching industry’s massive marketing campaigns further exacerbate the situation, with some strategies veering into ethical grey areas. The tests themselves, designed to be more challenging than standardised exams, set the stage for feelings of inadequacy and self-doubt when not conquered. Our educational system is tailored to gauge an individual’s merit through examinations. Eminent thinker Michael J Sandel dubs this system the “tyranny of merit”, a sentiment echoed by the Supreme Court of India. Upholding the OBC reservation judgment, the Court called for a deeper evaluation of the “idea of merit”, highlighting its nuanced nature. Merit as a concept remains shrouded in misunderstanding and often goes unexamined within school curriculum. Adapting to new living arrangements, sourcing nourishing meals, battling isolation, and grappling with commutes form the backdrop against, which education unfolds. For marginalised communities and gender minorities, these hurdles are often amplified. Social media algorithms exacerbate mental health concerns, sowing loneliness and impeding attention spans and creativity. Technology emerges as a potential equaliser in this landscape. Online platforms now offer preparation opportunities from the comfort of one’s home. Government-curated or market-driven content could usher in a new era of accessibility.
4. Imagine you have just been appointed as a consultant for a manufacturing company that is experiencing a decline in its production efficiency. The company produces a wide range of products, and the management is concerned about the overall output. Your task is to identify the root causes of this decline and recommend solutions.
As you begin your investigation, you gather information and observe the following:
• The company recently introduced a new production system that is more automated but requires highly specialized operators.
• The workforce has reported a lack of motivation and job satisfaction, which has led to increased absenteeism.
• There have been several breakdowns in the new machinery, leading to production delays and quality issues.
• The company’s competitors have adopted similar automation technologies and are experiencing increased productivity.
• Customer complaints about product quality have increased in recent months.
As you begin your investigation, you gather information and observe the following:
• The company recently introduced a new production system that is more automated but requires highly specialized operators.
• The workforce has reported a lack of motivation and job satisfaction, which has led to increased absenteeism.
• There have been several breakdowns in the new machinery, leading to production delays and quality issues.
• The company’s competitors have adopted similar automation technologies and are experiencing increased productivity.
• Customer complaints about product quality have increased in recent months.
5. Students have been abuzz over how artificial intelligence tools can do their homework and programmers over how these can increase their productivity or take away their jobs. As much as digitization has transformed the country in recent years, there is a widespread feeling that at some point around the horizon, AI shall rejig everything in even more fundamental, fantastic, and frightening ways. This is why deciding how the coming changes should be regulated is very important. TRAI has made a strong case for an independent statutory authority to ensure the responsible development and use of AI in the country, a global agency along similar lines shall likely be pitched at the G20 leaders’ summit, and interestingly even American MNC Microsoft has floated a blueprint for AI governance in India. The great size and diversity of its “data points” make India of great interest to all developers of AI technologies.
But India is only at their receiving end, nowhere close to the US and China’s advances. Although lately, it is becoming obvious how much state censorship is encumbering China’s large language modeling, the country is still very much in the game with PhDs in fields related to AI, investments in AI chip hardware design, and domestic generative models like Wu Dao. The scientific accomplishments of India’s Chandrayaan mission have seen it being wooed for various international space collaborations. This promises spinoff technological benefits across Indian industry and is also geo-strategically useful. Likewise, it is only with sufficient AI prowess that India shall really get to play at the high table of global rulemaking for AI.
Knowing how much Indians’ future shall be shaped by generative AI needs matching efforts to create indigenous models. In this and at this stage, a proactive government role is key, rather than just waiting on some large corporation to do the needful. Missing this bus will after all be even more costly than missing the chip research one. Plus, GOI alone can push academia-industry collaborations with the necessary weight and urgency. This does not let other institutions off the hook. A US judge has rejected the copyright for an AI-generated artwork. Indian courts should start engaging with the broader issue of non-human agency rather than wait for precedence to be set elsewhere. Indian schools need to think beyond the ban-ChatGPT mindset. Let us lead instead of only being led.
[Extracted from “First, get the tech: Unless India develops domestic AI heft, it wouldn’t play any meaningful part in global regulatory efforts”, Times of India]
But India is only at their receiving end, nowhere close to the US and China’s advances. Although lately, it is becoming obvious how much state censorship is encumbering China’s large language modeling, the country is still very much in the game with PhDs in fields related to AI, investments in AI chip hardware design, and domestic generative models like Wu Dao. The scientific accomplishments of India’s Chandrayaan mission have seen it being wooed for various international space collaborations. This promises spinoff technological benefits across Indian industry and is also geo-strategically useful. Likewise, it is only with sufficient AI prowess that India shall really get to play at the high table of global rulemaking for AI.
Knowing how much Indians’ future shall be shaped by generative AI needs matching efforts to create indigenous models. In this and at this stage, a proactive government role is key, rather than just waiting on some large corporation to do the needful. Missing this bus will after all be even more costly than missing the chip research one. Plus, GOI alone can push academia-industry collaborations with the necessary weight and urgency. This does not let other institutions off the hook. A US judge has rejected the copyright for an AI-generated artwork. Indian courts should start engaging with the broader issue of non-human agency rather than wait for precedence to be set elsewhere. Indian schools need to think beyond the ban-ChatGPT mindset. Let us lead instead of only being led.
[Extracted from “First, get the tech: Unless India develops domestic AI heft, it wouldn’t play any meaningful part in global regulatory efforts”, Times of India]
*The article might have information for the previous academic years, which will be updated soon subject to the notification issued by the University/College.
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