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Gen Ai Assessment Questions

Gen AI answers

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100% found this document useful (2 votes)
8K views19 pages

Gen Ai Assessment Questions

Gen AI answers

Uploaded by

smd.raihan001
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
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SE Sue xeon) eae SOR eter Tne Peevey 17.00 | 20.00 16.00 ee en ame eT eee) Score aay ome Eion0]0} H raed ream This report helps you to achieve your feria on aa aici Ros ca Reece er eee Renee eee ea Performance Categories Based on the performance of the students, we have framed the following categories to place you in accordance with your performance Performance Category Definitions Excelent ® Outstanding level of performance indicates that the candidate has done excellent work and mastered the concepts. @rien High vel of performance indicates thatthe candate ha done above average work and mastered almost lhe concepts © moderace ‘Acceptable level of performance indicates that the canddatehos done average work and has mastered many ofthe concepts. @tow Needs improvement in performance indicates thatthe candidate has done and mastered very few or none ofthe concepts Performance Criteria Excellent 191% 10 100¥ of Max Marks Hien 81% 0-908 of Max Marks Moderate 151% to 80% of Max Marks low Below 60% of Max Marks Performance Category based on student marks Section (GenA! Refresher E0) 18.20 and above 16.20%0 18.00 12.2010 18.00 Below 12.00, overall score 18.20 and above 1620t0 18.00 122010 16.00 ‘Below and equal te 12.00 Where do you stand? Section (Gena! Refresher E0) 1700/2000 overall score y7.90/2000 Recommendations and Suggestions 1. Based on your overall scores: Your overal score falls in the H category. Please avoid misconceptions and maintain time properb, 2. dazed on your section-wise performance: ‘You seem tobe strong in Section. So itis suggested that you aternpt Section section frst 43. Some general suggestions to optimize your score ‘The best performers plan and allocate equal ime to each section Overall Performance Analysis ‘Tne below table shows sectionsise analysis of marks scored by you time spent by you, your percentage, your accuracy and numberof correc, Incorrect Unanswered and marked for review questions Section (Gena 17001701 85.00% 8.00% 2 2a 2» 7 3 0 ° Refresher 0) Total 1700 1701 85.00% 85.00% 2 20 » 0 a 0 ° Note:The percentage i and acuracy below he preseribed values (60) are shown in red olor Below ple-chart shows section-nise percentage of marks scored Section-wise marks secon Impact of Incorrect Responses secre ° ” overall 3 ° 1700 In order to attempt more accurately, consider the folowing suggestions while attempting the questions! 1. you are net abe to solve a question correctly or have doubts in your preach towards the solution, skip ifr later 2. Quicly revise the steps for avoiding calculation or casual mistakes. 4. Avoid guesswork, Overall Preparedness Analysis ‘The below table represents the percentage of correct questions achieved atthe analysis level. ‘Conceptual errors, for which you would require more reading and understanding o* concepts Minor or careless mistakes, or which you would require a more composed and calm aporeach towards solving the question paper. ‘The topics marked inred need your immediate atention, Time Management Below cable shows the time you spent in e3ch section, Section (GenAl Refresher EO) 1701 Total time spent vot Recommendations 1. ts essental foreach aspirant plan and schedule time foreach ston eigen. THs important to score welin each section and ultimately meet the cutoft 2. Thiswil alse help you in attempting all the questions in each section and hence not missing the oppartunity to score mare. Response Change Pattern Below cable provides the numberof times you have changed your responses while answering he test and als the nature of those respanse changes. Section (Gendt Refresher £0) overall ° ° ° ° Itis suggested that guesswork should be avoided for any typeof response changes. thas been observed that mere often than not, guesswork leads to an Incorrect response thereby inviting negative marks which in turn has an adverse effect on the overall rank ‘You must use your knowledge, observation and elimination sls to arrive a the correct answer. Interpretation and Suggestions 1. Incorrect to incorrect response change ‘You may need to werk mere on the concept level, in order to gain confidence 2. Incorrect to cortect response change: ‘At the frst glance you were net very ure about the solution. "You must spend at least 1 minute per question and you are notable to reach to the solution, you must revisit the question to enhance your score Perform this responce change only wien you ae confident or have spotted a mistake inthe solution of your frst response, 3. Correct o incorrect response change ‘You are not sure ofthe solution and have elther applied a wrong concept or made a calculation mistake, You need to practice more questions onthe same concept 4, Correct to unanswered response change: "You are not sure of the solution "You need to practice more questions on the same concept Perform this response change only wien you ae not confident of your solution, "You must ty to spend at last 1 min before leaving t unanswered. 5. Incorrect to unanswered response change: Your jucgment of avoiding negative marks i ght. "You must ry to spend at least 1 min before leaving tunanswered. Overview: Section ‘The below tale provides your marks in Section along wth the average marks scored by the others (students who eared this assessment) and the marks scored by the topper 7.00 /20.00 85.00% as.00% 701 Noe The percentage and acurac below he prescribed value (60%) are shown a red color Question wise Analysis Marked for Review. © © corect @ incorrect @ Unhnswered @ Marked forReview Performance Analysis: Section 11. The below table analyzes your performance at question level 2. highlights conceptually strong and improvement areas within the section and areas that require reinforcement of concepts, |. The accuracy of he response to ean question and time spent are correlated and interpreted in terms of expert advice on preparedness level Question wise details Please click on question to view detailed analysis P= noctauates = Galas > coree O- hreoree 0 = Nexaonsted = MarestorResew EL Aver Ye conec open de = Your Option Bat. whatis the goa! fusing contextin a prompt? sso: Anewared Options 9. To confuse the model Tolimitthe mogel's response To improve the model's understanding and response quality To slow down the model's processing speed . > wlple “Tipespentinseet 20 | Carectatncrrea:G | heareeta CoreesQ | iearterte heoree( | Caveettounansmeed:O | Ineatecttouransnered-O | Unanswered to Corect1 | Unanswered to meerec: 0 G3 2. Categorize ML Problem: Analyze a Traffic Light image to find the signal - Red or Green or Amber satus: Anowered Options 1. Regression 2 Classification 3. Both 4. None ofthe above Timeprinnes2¢ | cracronamae | moscacorat | ama rem | coven | erect warm | LUnansweredto Cares} | Unanswered hearse G3 Q3. Below statement is True or False? Artificial intelligence (Al) is the theory and development of computer systems capable of performing tasks that historically requires human intelligence such as recognizing speech, making decisions, and identifying patterns. status: Angwered Options 1 TRUE 2. FALSE Timespencinseee11 | Correcttolnearees | errettaCorecs€ | Inareeta hearse | Corretteunanswereds@ | Incrrectto unanswered 0 LUnanoweredta Core 1 | Unanewerea Pearee 1 Q4. BARD, the conversational Al chatbo. is developed by which company? ‘satus: Angwered Options 1, Google 2. Open Al 3. Amazon 4 Microsoft Timespencinseer6e | Correctolneorecs | Ineorrerta Corea: | Inorrecto heorecc | Cortettounanswered\O | Incerecttounansaered:O | UnonsneredteCarees 1 | Unanswered hearees QS. True or False: Large Language Models are a subset of Foundation Models. ‘satus: Anewared Options 1. FALSE © 2 TRUE Timespencinsee 20 | Covrecrrolnarecs | werrertacoreac€ | mearecto meorecc€ | Coretto unansnered:O | Inceecttounansmeed:O | Unanowaredto Cores 1 | Unanswered earns 3 Q6, Whatischain-ofshought prompting? ‘sats :Anewared options 1. Asking a series of related questions to guide the medel 2. Providing a single, simple query tothe model 5. ignoring previous responses from the model 4, Asking only complex questions Tmespentinsee:S2 | Covrecttolnearees | ierretiaCorease | beareeio heorec:G | Cortette unanswered: | nerrecttounansaered:O | LUnansweredto Core: 1 | Unarsneredo hearee: 3 7. Which principle emphasizes the need to collect data from a variety of sources and demographics? ‘satus: Anowered options 1 Blas Assessment 2. Fairness Measures © 3 data Dversty 4 Transparency Tmespeneinsee-37 | Covrecrrolnorees | weorrerta oneal | hearecto meorecc€ | Cotettounansnered:O | Incoecrtounansaered:O | UUnanewaredta Core 1 | Unanewared Fearne G3 Q8, What are the types of Data? ‘sats :Anewared options structured Unstructured Both Structured & Unstructured 44, None of the above Tmespem nsec: 6 | Correct tolnestee.O | ncoreet ts CoreecO | Inareeo heereccQ | Coretta uransweres:9 | nctreet te unanswered | LUnansweredto Correct 1 | Unanswered heoree:O 3 99. whatis the purpose ofthe General Data Protection Regulation (GDPR?? ‘satus: Answered options 1, To ensure the responsible use of Al technologies. 2 To ensure the development ofA technolgies. 13. To ensure the use of Altechnologies 4 Toensure personal daca protection and privacy. Timespeneinsee-S8 | Covrecrolnarees | wcorreteCorea:€ | earecto heorecc€ | Covtecttounansnered:O | Incaecrtounansaeed:O | UUnanewaredta Core 1 | Unanewared Fearne G3 Q10, whats one challenge related to the interpretability of generative Al models? ‘sats :Anewared options Lack of research interest Inability to tain medels Models often function as “lack boxes 44, Overly complex mathematical eperatons Tmespent nsec: 184 | Correettolneoraes.9 | Incorrctte Cored | Inorecto heerec.9 | Corel to urarswerad:© | Incorect to unanswered | Unanswered Corecs 1 | Unarswered%o hearee: © GV Q11. What does the principle of fairness in Gen Al ental? ‘satus: Anowered options © 1, Optimizing model architecture to reduce bias 2. Ensuring equitable treatment and aadessing bases in outputs 3. Promoting dversty within development tears 4. None of he above Timespencinsee-SC | Covrecrolnoreas | weorrerteCoreac€ | mearecto meorecc€ | Covtettounansnered:O | Incarecttounansaeed:O | UUnanewaredta cere | Unanswered ecrace 1 I Q12. What purpose do Fairness Measures serve in Al product development? ‘sats :Anewared options To ensure cisriminatory practices To increase complexiy without benefits To enforce biases in decision-making 4 Toensure equal treatment across diverse user groups Timespentinsee32 | Covrecttolnearees | ierretta Crease | Ieareeo hear | CortetteunansneredsQ | nerrecttounansaered:O | LUnansweredtoCorees 1 | Unanswered hearee: I Q13. What's one of the key challenges faced by Gen Al models in terms of consistency? status: Angwered options 1, Mainraining diverse training data 2. Producing unrealstic outputs 13. Achieving consistent results withthe same input 4. None of he above Timespeneinsee. BE | Covrerolnoreas | werrerte oneal | hearecto heorecc€ | Cortettounansnered:O | Incoecrtounansaered:O | Unanewaredtaceree@ | Unanswered earaee 1 GI Q14, You need to create a chatbot for your website that can answer customer queries in real time. Which Al approach would you use? ‘sats: Anewared Options 1. Machine Learning 2. Deep Learning 5. bata Science 4 Generate al Timespeneinsee:36 | Correcttolnearees | increta Corre: G | Inearecta neorecG | Cortettounanswere\O | Incrrecttounansaered:O | UUnaneweredto core 1 | Unarameredw hearecsO G3 .Q15, whats a key feature of generative AI? ‘sats :Anewered options Supervised learning ‘Generating new data similar o training data Rule-based processing 4, High computational speed “Tinespentinseee 10 | Coreettaincrrecee | hearecta CareetQ | incrtettoheorrec:¢ | Covreettounansiered:O | Inatectouransnered-0 | Unanswered to corees 1 | Unarswered%o hecree: 3 Q16. What challenge does generative Alface with respect to data? ‘sats :Anewared Options 4. Access to high-quality data 2 Overtiting on low-quality data © 3. Both Aand & 4 Nelther Aor 8 Tmespentinsee:S€ | Covrecttolneorees | herria Coreaie | heareeo heorecsG | Cortetteunansnered:@ | nerrecttounansaered:O | LUnansweredtoCoree: 1 | Unansweredo hearee: 3 Q17, What's the main goal of Generative A? ‘satus: Answered options 1, APDI>ML>Gen AL 2 APMDOLGen Al 3. DL-APML>Gen Al 4. None of the above Timespencinsee: 145 | Correettolnoract.d | icorratteCoreesD | Inconecttoleoree: | Corecttourarswered:C | incorcectto unanswered | UnanewaredtaCorecs 1 | Unanewaredta hearin: G3 Q18. Pre-traines Mult Task Generative Al Models ace calle sats :Anewared options 1. Machine Learning Models 2. Deep Learning Models 5. Foundation Models 4 Allare correc. Timespentinsee:97 | Covrecttolmearees | ierrettaCoreaie | beareeo heorecsG | Cortetteunansnereds@ | nerrecttounansaered:O | Unanswered to Coreec © | Unanswered Rearec: 1 GI 219. Which ofthe folowing is NOT a strategy used in prompt engineering? status: Anowered options 1. Using precise language in prompts 2. Providing lear context in the input 3. Adding relevant information tothe prompt 4, Experimenting with diferent prompt lengths Timespencinsee.17 | Covrecrrolnorees | weorreteCoreac€ | hearecto meorecc€ | Cotetto unansnered:O | Incoecttounansneed:O | UUnanewaredta Core 1 | Unanewared earns G3 Q20. What isthe difference between Generative Al and predictive AI? ‘satus :Anewared Options 1. Generative Al creates new content hile predictive Al classifies existing content. 2. Generative Alis more accurate than discriminative Al. 5. Generative Alis more efficient than diserimiratve Al 4 Allare correct Tmespentinsee: 15 | Covrecttolneorees | ierrettaCoreeaie | heareeo heorec:G | Cortetteunansnereds@ | nerrecttounansaered:O | Unanswered te Corees 1 | Unansneredo hearee: Your Response Change Pattern: Section ‘Tne below table provides the rumber of times you have changed your responses to the Section questions and also the nature of those response changes. ° a ° o ° ”

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