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Database-style Records: ID/City/Score Advanced Worksheet: Focus on exam-oriented approach Database-style Records: ID/City/Score ADVANCED

Level up your Database-style Records: ID/City/Score skills! You're at Worksheet 8 of 10 (77% through this series). This exam hall simulation worksheet features 20 advanced-level problems with a focus on exam-oriented approach. Topics covered: database-style records: id/city/score bank exam questions, database-style records: id/city/score ssc cgl, database-style records: id/city/score reasoning tricks.

📝 Worksheet 8 of 10 • 20 questions • ⏱️ Estimated time: 20 minutes • 🎯 Advanced level

What you'll learn in this worksheet:
Your progress through Database-style Records: ID/City/Score
Worksheet 8 of 10 (77% complete)

Question 1

Consider the following five database-like records with unique fields (ID, Name, City, Score). Using the clues, determine relationships and answer: - The record with ID 840 has a higher score than the record from Hyderabad. - Hina's score is not the lowest. - The person from Chennai has an ID greater than 519. Question: Which city corresponds to the highest score?
Relational Reasoning (DB-style)
Think in terms of unique-key constraints across fields (ID, Name, City, Score).
ID | Name | City | Score
--- | --- | --- | ---
149 | Rhea | Bengaluru | 86
840 | Gaurav | Hyderabad | 96
101 | Hina | Delhi | 94
794 | Bhavya | Chennai | 92
519 | Fatima | Mumbai | 83
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 840 has a higher score than the record from Hyderabad.
- Hina's score is not the lowest.
- The person from Chennai has an ID greater than 519.

Question 2

Consider the following five database-like records with unique fields (ID, Name, City, Score). Using the clues, determine relationships and answer: - The record with ID 883 has a higher score than the record from Bengaluru. - Vihaan's score is not the lowest. - The person from Hyderabad has an ID greater than 996. Question: Which city corresponds to the highest score?
Relational Reasoning (DB-style)
Think in terms of unique-key constraints across fields (ID, Name, City, Score).
ID | Name | City | Score
--- | --- | --- | ---
883 | Jatin | Chennai | 96
532 | Sahil | Bengaluru | 75
698 | Vihaan | Mumbai | 94
191 | Yash | Hyderabad | 91
996 | Rhea | Delhi | 87
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 883 has a higher score than the record from Bengaluru.
- Vihaan's score is not the lowest.
- The person from Hyderabad has an ID greater than 996.

Question 3

Consider the following five database-like records with unique fields (ID, Name, City, Score). Using the clues, determine relationships and answer: - The record with ID 851 has a higher score than the record from Bengaluru. - Omar's score is not the lowest. - The person from Hyderabad has an ID greater than 605. Question: Which city corresponds to the highest score?
Relational Reasoning (DB-style)
Think in terms of unique-key constraints across fields (ID, Name, City, Score).
ID | Name | City | Score
--- | --- | --- | ---
852 | Sahil | Chennai | 75
312 | Eshan | Bengaluru | 78
732 | Omar | Delhi | 76
851 | Mira | Hyderabad | 97
605 | Gaurav | Mumbai | 86
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 851 has a higher score than the record from Bengaluru.
- Omar's score is not the lowest.
- The person from Hyderabad has an ID greater than 605.

Question 4

Consider the following five database-like records with unique fields (ID, Name, City, Score). Using the clues, determine relationships and answer: - The record with ID 285 has a higher score than the record from Mumbai. - Gaurav's score is not the lowest. - The person from Delhi has an ID greater than 636. Question: Which city corresponds to the highest score?
Relational Reasoning (DB-style)
Think in terms of unique-key constraints across fields (ID, Name, City, Score).
ID | Name | City | Score
--- | --- | --- | ---
293 | Nihal | Hyderabad | 92
198 | Jatin | Mumbai | 74
277 | Gaurav | Chennai | 89
285 | Kaira | Delhi | 98
636 | Qadir | Bengaluru | 73
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 285 has a higher score than the record from Mumbai.
- Gaurav's score is not the lowest.
- The person from Delhi has an ID greater than 636.

Question 5

Consider the following five database-like records with unique fields (ID, Name, City, Score). Using the clues, determine relationships and answer: - The record with ID 155 has a higher score than the record from Delhi. - Qadir's score is not the lowest. - The person from Hyderabad has an ID greater than 116. Question: Which city corresponds to the highest score?
Relational Reasoning (DB-style)
Think in terms of unique-key constraints across fields (ID, Name, City, Score).
ID | Name | City | Score
--- | --- | --- | ---
121 | Cyrus | Bengaluru | 84
155 | Eshan | Delhi | 97
446 | Qadir | Mumbai | 77
234 | Priya | Hyderabad | 76
116 | Sahil | Chennai | 72
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 155 has a higher score than the record from Delhi.
- Qadir's score is not the lowest.
- The person from Hyderabad has an ID greater than 116.

Question 6

Consider the following five database-like records with unique fields (ID, Name, City, Score). Using the clues, determine relationships and answer: - The record with ID 764 has a higher score than the record from Mumbai. - Fatima's score is not the lowest. - The person from Delhi has an ID greater than 265. Question: Which city corresponds to the highest score?
Relational Reasoning (DB-style)
Think in terms of unique-key constraints across fields (ID, Name, City, Score).
ID | Name | City | Score
--- | --- | --- | ---
764 | Omar | Chennai | 99
150 | Eshan | Mumbai | 81
314 | Fatima | Hyderabad | 77
210 | Hina | Delhi | 96
265 | Qadir | Bengaluru | 86
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 764 has a higher score than the record from Mumbai.
- Fatima's score is not the lowest.
- The person from Delhi has an ID greater than 265.

Question 7

Consider the following five database-like records with unique fields (ID, Name, City, Score). Using the clues, determine relationships and answer: - The record with ID 453 has a higher score than the record from Bengaluru. - Gaurav's score is not the lowest. - The person from Mumbai has an ID greater than 419. Question: Which city corresponds to the highest score?
Relational Reasoning (DB-style)
Think in terms of unique-key constraints across fields (ID, Name, City, Score).
ID | Name | City | Score
--- | --- | --- | ---
301 | Cyrus | Delhi | 77
841 | Rhea | Bengaluru | 81
572 | Gaurav | Hyderabad | 95
453 | Qadir | Mumbai | 97
419 | Jatin | Chennai | 74
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 453 has a higher score than the record from Bengaluru.
- Gaurav's score is not the lowest.
- The person from Mumbai has an ID greater than 419.

Question 8

Consider the following five database-like records with unique fields (ID, Name, City, Score). Using the clues, determine relationships and answer: - The record with ID 936 has a higher score than the record from Mumbai. - Wafa's score is not the lowest. - The person from Chennai has an ID greater than 155. Question: Which city corresponds to the highest score?
Relational Reasoning (DB-style)
Think in terms of unique-key constraints across fields (ID, Name, City, Score).
ID | Name | City | Score
--- | --- | --- | ---
936 | Omar | Hyderabad | 96
687 | Cyrus | Mumbai | 71
906 | Wafa | Delhi | 74
581 | Fatima | Chennai | 78
155 | Priya | Bengaluru | 77
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 936 has a higher score than the record from Mumbai.
- Wafa's score is not the lowest.
- The person from Chennai has an ID greater than 155.

Question 9

Consider the following five database-like records with unique fields (ID, Name, City, Score). Using the clues, determine relationships and answer: - The record with ID 204 has a higher score than the record from Chennai. - Cyrus's score is not the lowest. - The person from Hyderabad has an ID greater than 897. Question: Which city corresponds to the highest score?
Relational Reasoning (DB-style)
Think in terms of unique-key constraints across fields (ID, Name, City, Score).
ID | Name | City | Score
--- | --- | --- | ---
326 | Priya | Bengaluru | 86
893 | Ira | Chennai | 84
180 | Cyrus | Mumbai | 75
204 | Fatima | Hyderabad | 89
897 | Omar | Delhi | 88
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 204 has a higher score than the record from Chennai.
- Cyrus's score is not the lowest.
- The person from Hyderabad has an ID greater than 897.

Question 10

Consider the following five database-like records with unique fields (ID, Name, City, Score). Using the clues, determine relationships and answer: - The record with ID 823 has a higher score than the record from Hyderabad. - Diya's score is not the lowest. - The person from Delhi has an ID greater than 735. Question: Which city corresponds to the highest score?
Relational Reasoning (DB-style)
Think in terms of unique-key constraints across fields (ID, Name, City, Score).
ID | Name | City | Score
--- | --- | --- | ---
183 | Jatin | Chennai | 86
823 | Eshan | Hyderabad | 96
866 | Diya | Bengaluru | 84
301 | Wafa | Delhi | 78
735 | Fatima | Mumbai | 77
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 823 has a higher score than the record from Hyderabad.
- Diya's score is not the lowest.
- The person from Delhi has an ID greater than 735.

Question 11

Consider the following five database-like records with unique fields (ID, Name, City, Score). Using the clues, determine relationships and answer: - The record with ID 443 has a higher score than the record from Bengaluru. - Jatin's score is not the lowest. - The person from Chennai has an ID greater than 956. Question: Which city corresponds to the highest score?
Relational Reasoning (DB-style)
Think in terms of unique-key constraints across fields (ID, Name, City, Score).
ID | Name | City | Score
--- | --- | --- | ---
224 | Gaurav | Hyderabad | 93
803 | Cyrus | Bengaluru | 76
443 | Jatin | Mumbai | 97
341 | Fatima | Chennai | 87
956 | Hina | Delhi | 81
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 443 has a higher score than the record from Bengaluru.
- Jatin's score is not the lowest.
- The person from Chennai has an ID greater than 956.

Question 12

Consider the following five database-like records with unique fields (ID, Name, City, Score). Using the clues, determine relationships and answer: - The record with ID 351 has a higher score than the record from Mumbai. - Kaira's score is not the lowest. - The person from Bengaluru has an ID greater than 979. Question: Which city corresponds to the highest score?
Relational Reasoning (DB-style)
Think in terms of unique-key constraints across fields (ID, Name, City, Score).
ID | Name | City | Score
--- | --- | --- | ---
613 | Cyrus | Hyderabad | 81
201 | Ira | Mumbai | 84
241 | Kaira | Chennai | 95
351 | Zoya | Bengaluru | 99
979 | Tara | Delhi | 87
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 351 has a higher score than the record from Mumbai.
- Kaira's score is not the lowest.
- The person from Bengaluru has an ID greater than 979.

Question 13

Consider the following five database-like records with unique fields (ID, Name, City, Score). Using the clues, determine relationships and answer: - The record with ID 698 has a higher score than the record from Mumbai. - Nihal's score is not the lowest. - The person from Hyderabad has an ID greater than 529. Question: Which city corresponds to the highest score?
Relational Reasoning (DB-style)
Think in terms of unique-key constraints across fields (ID, Name, City, Score).
ID | Name | City | Score
--- | --- | --- | ---
677 | Omar | Chennai | 75
354 | Tara | Mumbai | 94
698 | Nihal | Bengaluru | 98
722 | Laksh | Hyderabad | 90
529 | Sahil | Delhi | 78
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 698 has a higher score than the record from Mumbai.
- Nihal's score is not the lowest.
- The person from Hyderabad has an ID greater than 529.

Question 14

Consider the following five database-like records with unique fields (ID, Name, City, Score). Using the clues, determine relationships and answer: - The record with ID 136 has a higher score than the record from Hyderabad. - Tara's score is not the lowest. - The person from Bengaluru has an ID greater than 400. Question: Which city corresponds to the highest score?
Relational Reasoning (DB-style)
Think in terms of unique-key constraints across fields (ID, Name, City, Score).
ID | Name | City | Score
--- | --- | --- | ---
371 | Laksh | Chennai | 70
521 | Zoya | Hyderabad | 82
517 | Tara | Mumbai | 72
136 | Priya | Bengaluru | 84
400 | Eshan | Delhi | 76
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 136 has a higher score than the record from Hyderabad.
- Tara's score is not the lowest.
- The person from Bengaluru has an ID greater than 400.

Question 15

Consider the following five database-like records with unique fields (ID, Name, City, Score). Using the clues, determine relationships and answer: - The record with ID 144 has a higher score than the record from Mumbai. - Aarav's score is not the lowest. - The person from Hyderabad has an ID greater than 910. Question: Which city corresponds to the highest score?
Relational Reasoning (DB-style)
Think in terms of unique-key constraints across fields (ID, Name, City, Score).
ID | Name | City | Score
--- | --- | --- | ---
904 | Rhea | Bengaluru | 74
121 | Kaira | Mumbai | 75
509 | Aarav | Chennai | 84
144 | Vihaan | Hyderabad | 88
910 | Gaurav | Delhi | 72
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 144 has a higher score than the record from Mumbai.
- Aarav's score is not the lowest.
- The person from Hyderabad has an ID greater than 910.

Question 16

Consider the following five database-like records with unique fields (ID, Name, City, Score). Using the clues, determine relationships and answer: - The record with ID 731 has a higher score than the record from Mumbai. - Zoya's score is not the lowest. - The person from Delhi has an ID greater than 814. Question: Which city corresponds to the highest score?
Relational Reasoning (DB-style)
Think in terms of unique-key constraints across fields (ID, Name, City, Score).
ID | Name | City | Score
--- | --- | --- | ---
516 | Uma | Hyderabad | 90
865 | Laksh | Mumbai | 77
402 | Zoya | Chennai | 88
731 | Cyrus | Delhi | 95
814 | Fatima | Bengaluru | 76
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 731 has a higher score than the record from Mumbai.
- Zoya's score is not the lowest.
- The person from Delhi has an ID greater than 814.

Question 17

Consider the following five database-like records with unique fields (ID, Name, City, Score). Using the clues, determine relationships and answer: - The record with ID 696 has a higher score than the record from Bengaluru. - Aarav's score is not the lowest. - The person from Mumbai has an ID greater than 308. Question: Which city corresponds to the highest score?
Relational Reasoning (DB-style)
Think in terms of unique-key constraints across fields (ID, Name, City, Score).
ID | Name | City | Score
--- | --- | --- | ---
110 | Vihaan | Chennai | 84
712 | Sahil | Bengaluru | 74
232 | Aarav | Hyderabad | 72
696 | Fatima | Mumbai | 95
308 | Gaurav | Delhi | 90
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 696 has a higher score than the record from Bengaluru.
- Aarav's score is not the lowest.
- The person from Mumbai has an ID greater than 308.

Question 18

Consider the following five database-like records with unique fields (ID, Name, City, Score). Using the clues, determine relationships and answer: - The record with ID 428 has a higher score than the record from Hyderabad. - Priya's score is not the lowest. - The person from Chennai has an ID greater than 988. Question: Which city corresponds to the highest score?
Relational Reasoning (DB-style)
Think in terms of unique-key constraints across fields (ID, Name, City, Score).
ID | Name | City | Score
--- | --- | --- | ---
657 | Hina | Delhi | 75
428 | Vihaan | Hyderabad | 95
833 | Priya | Mumbai | 71
867 | Kaira | Chennai | 83
988 | Mira | Bengaluru | 90
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 428 has a higher score than the record from Hyderabad.
- Priya's score is not the lowest.
- The person from Chennai has an ID greater than 988.

Question 19

Consider the following five database-like records with unique fields (ID, Name, City, Score). Using the clues, determine relationships and answer: - The record with ID 210 has a higher score than the record from Bengaluru. - Gaurav's score is not the lowest. - The person from Mumbai has an ID greater than 816. Question: Which city corresponds to the highest score?
Relational Reasoning (DB-style)
Think in terms of unique-key constraints across fields (ID, Name, City, Score).
ID | Name | City | Score
--- | --- | --- | ---
611 | Rhea | Chennai | 78
210 | Uma | Bengaluru | 96
456 | Gaurav | Hyderabad | 70
932 | Qadir | Mumbai | 91
816 | Kaira | Delhi | 90
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 210 has a higher score than the record from Bengaluru.
- Gaurav's score is not the lowest.
- The person from Mumbai has an ID greater than 816.

Question 20

Consider the following five database-like records with unique fields (ID, Name, City, Score). Using the clues, determine relationships and answer: - The record with ID 365 has a higher score than the record from Bengaluru. - Omar's score is not the lowest. - The person from Hyderabad has an ID greater than 867. Question: Which city corresponds to the highest score?
Relational Reasoning (DB-style)
Think in terms of unique-key constraints across fields (ID, Name, City, Score).
ID | Name | City | Score
--- | --- | --- | ---
529 | Yash | Mumbai | 93
365 | Priya | Bengaluru | 97
231 | Omar | Chennai | 72
521 | Uma | Hyderabad | 71
867 | Hina | Delhi | 76
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 365 has a higher score than the record from Bengaluru.
- Omar's score is not the lowest.
- The person from Hyderabad has an ID greater than 867.
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