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Database-style Records: ID/City/Score: Worksheet 6 - Intermediate-Advanced Practice Database-style Records: ID/City/Score INTERMEDIATE ADVANCED

Ready to master Database-style Records: ID/City/Score? This timed practice ⚡ worksheet (6/10) presents 20 intermediate-advanced-level challenges. Focus area: speed building. Learn to solve database-style records: id/city/score tricks, handle database-style records: id/city/score shortcut methods, and perfect database-style records: id/city/score bank exam questions with our step-by-step solutions.

📝 Worksheet 6 of 10 • 20 questions • ⏱️ Estimated time: 20 minutes • 🎯 Intermediate Advanced level

What you'll learn in this worksheet:
Your progress through Database-style Records: ID/City/Score
Worksheet 6 of 10 (55% 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 200 has a higher score than the record from Chennai. - Tara's score is not the lowest. - The person from Delhi has an ID greater than 668. 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
--- | --- | --- | ---
200 | Qadir | Bengaluru | 97
718 | Mira | Chennai | 74
897 | Tara | Hyderabad | 91
436 | Priya | Delhi | 70
668 | Rhea | Mumbai | 96
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 200 has a higher score than the record from Chennai.
- Tara's score is not the lowest.
- The person from Delhi has an ID greater than 668.

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 879 has a higher score than the record from Chennai. - Jatin's score is not the lowest. - The person from Mumbai has an ID greater than 332. 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
--- | --- | --- | ---
742 | Xavier | Hyderabad | 70
115 | Gaurav | Chennai | 77
879 | Jatin | Delhi | 92
749 | Yash | Mumbai | 76
332 | Sahil | Bengaluru | 88
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 879 has a higher score than the record from Chennai.
- Jatin's score is not the lowest.
- The person from Mumbai has an ID greater than 332.

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 248 has a higher score than the record from Hyderabad. - Qadir's score is not the lowest. - The person from Chennai has an ID greater than 248. 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
--- | --- | --- | ---
998 | Yash | Delhi | 74
618 | Tara | Hyderabad | 90
808 | Qadir | Bengaluru | 93
315 | Aarav | Chennai | 71
248 | Priya | Mumbai | 95
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 248 has a higher score than the record from Hyderabad.
- Qadir's score is not the lowest.
- The person from Chennai has an ID greater than 248.

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 920 has a higher score than the record from Delhi. - Laksh's score is not the lowest. - The person from Mumbai has an ID greater than 307. 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
--- | --- | --- | ---
526 | Bhavya | Bengaluru | 82
995 | Nihal | Delhi | 78
920 | Laksh | Hyderabad | 98
628 | Mira | Mumbai | 80
307 | Jatin | Chennai | 93
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 920 has a higher score than the record from Delhi.
- Laksh's score is not the lowest.
- The person from Mumbai has an ID greater than 307.

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 966 has a higher score than the record from Delhi. - Priya's score is not the lowest. - The person from Hyderabad has an ID greater than 468. 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
--- | --- | --- | ---
655 | Fatima | Chennai | 93
958 | Ira | Delhi | 75
966 | Priya | Mumbai | 98
804 | Gaurav | Hyderabad | 97
468 | Bhavya | Bengaluru | 74
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 966 has a higher score than the record from Delhi.
- Priya's score is not the lowest.
- The person from Hyderabad has an ID greater than 468.

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 517 has a higher score than the record from Hyderabad. - Fatima's score is not the lowest. - The person from Delhi has an ID greater than 805. 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
--- | --- | --- | ---
663 | Sahil | Mumbai | 77
518 | Jatin | Hyderabad | 82
517 | Fatima | Bengaluru | 90
120 | Uma | Delhi | 71
805 | Zoya | Chennai | 73
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 517 has a higher score than the record from Hyderabad.
- Fatima's score is not the lowest.
- The person from Delhi has an ID greater than 805.

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 869 has a higher score than the record from Hyderabad. - Fatima's score is not the lowest. - The person from Chennai has an ID greater than 446. 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
--- | --- | --- | ---
869 | Kaira | Delhi | 95
489 | Mira | Hyderabad | 73
490 | Fatima | Mumbai | 79
921 | Tara | Chennai | 94
446 | Jatin | Bengaluru | 86
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 869 has a higher score than the record from Hyderabad.
- Fatima's score is not the lowest.
- The person from Chennai has an ID greater than 446.

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 442 has a higher score than the record from Chennai. - Laksh's score is not the lowest. - The person from Bengaluru has an ID greater than 665. 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
--- | --- | --- | ---
442 | Diya | Delhi | 96
291 | Eshan | Chennai | 81
447 | Laksh | Hyderabad | 84
208 | Omar | Bengaluru | 76
665 | Hina | Mumbai | 95
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 442 has a higher score than the record from Chennai.
- Laksh's score is not the lowest.
- The person from Bengaluru has an ID greater than 665.

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 435 has a higher score than the record from Mumbai. - Mira's score is not the lowest. - The person from Hyderabad has an ID greater than 987. 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
--- | --- | --- | ---
341 | Sahil | Bengaluru | 77
435 | Ira | Mumbai | 91
385 | Mira | Chennai | 73
983 | Laksh | Hyderabad | 80
987 | Bhavya | Delhi | 84
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 435 has a higher score than the record from Mumbai.
- Mira's score is not the lowest.
- The person from Hyderabad has an ID greater than 987.

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 616 has a higher score than the record from Mumbai. - Mira's score is not the lowest. - The person from Bengaluru has an ID greater than 706. 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
--- | --- | --- | ---
993 | Tara | Chennai | 78
187 | Sahil | Mumbai | 84
199 | Mira | Delhi | 85
616 | Uma | Bengaluru | 94
706 | Hina | Hyderabad | 83
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 616 has a higher score than the record from Mumbai.
- Mira's score is not the lowest.
- The person from Bengaluru has an ID greater than 706.

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 808 has a higher score than the record from Delhi. - Eshan's score is not the lowest. - The person from Hyderabad has an ID greater than 808. 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
--- | --- | --- | ---
698 | Fatima | Mumbai | 78
740 | Gaurav | Delhi | 74
799 | Eshan | Bengaluru | 72
706 | Rhea | Hyderabad | 79
808 | Nihal | Chennai | 82
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 808 has a higher score than the record from Delhi.
- Eshan's score is not the lowest.
- The person from Hyderabad has an ID greater than 808.

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 817 has a higher score than the record from Hyderabad. - Eshan's score is not the lowest. - The person from Mumbai has an ID greater than 205. 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
--- | --- | --- | ---
817 | Aarav | Delhi | 88
626 | Uma | Hyderabad | 73
728 | Eshan | Chennai | 74
157 | Rhea | Mumbai | 83
205 | Nihal | Bengaluru | 75
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 817 has a higher score than the record from Hyderabad.
- Eshan's score is not the lowest.
- The person from Mumbai has an ID greater than 205.

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 786 has a higher score than the record from Bengaluru. - Zoya's score is not the lowest. - The person from Delhi has an ID greater than 470. 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
--- | --- | --- | ---
786 | Ira | Hyderabad | 99
522 | Aarav | Bengaluru | 86
320 | Zoya | Mumbai | 81
417 | Priya | Delhi | 76
470 | Mira | Chennai | 95
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 786 has a higher score than the record from Bengaluru.
- Zoya's score is not the lowest.
- The person from Delhi has an ID greater than 470.

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 651 has a higher score than the record from Hyderabad. - Mira's score is not the lowest. - The person from Bengaluru has an ID greater than 860. 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
--- | --- | --- | ---
379 | Zoya | Mumbai | 97
938 | Rhea | Hyderabad | 81
651 | Mira | Chennai | 98
212 | Fatima | Bengaluru | 70
860 | Eshan | Delhi | 95
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 651 has a higher score than the record from Hyderabad.
- Mira's score is not the lowest.
- The person from Bengaluru has an ID greater than 860.

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 767 has a higher score than the record from Chennai. - Vihaan's score is not the lowest. - The person from Hyderabad has an ID greater than 860. 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
--- | --- | --- | ---
125 | Aarav | Bengaluru | 83
251 | Hina | Chennai | 89
502 | Vihaan | Mumbai | 95
767 | Eshan | Hyderabad | 99
860 | Sahil | Delhi | 76
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 767 has a higher score than the record from Chennai.
- Vihaan's score is not the lowest.
- The person from Hyderabad has an ID greater than 860.

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 955 has a higher score than the record from Bengaluru. - Omar's score is not the lowest. - The person from Chennai has an ID greater than 219. 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
--- | --- | --- | ---
248 | Wafa | Mumbai | 81
955 | Uma | Bengaluru | 97
391 | Omar | Delhi | 86
339 | Kaira | Chennai | 88
219 | Zoya | Hyderabad | 80
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 955 has a higher score than the record from Bengaluru.
- Omar's score is not the lowest.
- The person from Chennai has an ID greater than 219.

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 177 has a higher score than the record from Delhi. - Zoya's score is not the lowest. - The person from Bengaluru has an ID greater than 177. 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
--- | --- | --- | ---
444 | Aarav | Chennai | 84
537 | Gaurav | Delhi | 93
522 | Zoya | Mumbai | 98
216 | Priya | Bengaluru | 94
177 | Vihaan | Hyderabad | 99
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 177 has a higher score than the record from Delhi.
- Zoya's score is not the lowest.
- The person from Bengaluru has an ID greater than 177.

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 532 has a higher score than the record from Chennai. - Omar's score is not the lowest. - The person from Delhi has an ID greater than 562. 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
--- | --- | --- | ---
532 | Sahil | Bengaluru | 97
895 | Gaurav | Chennai | 82
233 | Omar | Hyderabad | 80
810 | Eshan | Delhi | 73
562 | Rhea | Mumbai | 85
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 532 has a higher score than the record from Chennai.
- Omar's score is not the lowest.
- The person from Delhi has an ID greater than 562.

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 569 has a higher score than the record from Bengaluru. - Diya's score is not the lowest. - The person from Delhi has an ID greater than 841. 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
--- | --- | --- | ---
113 | Hina | Mumbai | 70
615 | Yash | Bengaluru | 89
569 | Diya | Hyderabad | 99
642 | Xavier | Delhi | 73
841 | Jatin | Chennai | 74
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 569 has a higher score than the record from Bengaluru.
- Diya's score is not the lowest.
- The person from Delhi has an ID greater than 841.

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 796 has a higher score than the record from Delhi. - Uma's score is not the lowest. - The person from Mumbai has an ID greater than 796. 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
--- | --- | --- | ---
762 | Laksh | Chennai | 70
581 | Nihal | Delhi | 76
367 | Uma | Bengaluru | 73
712 | Gaurav | Mumbai | 77
796 | Ira | Hyderabad | 87
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 796 has a higher score than the record from Delhi.
- Uma's score is not the lowest.
- The person from Mumbai has an ID greater than 796.
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