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Master Database-style Records: ID/City/Score - Intermediate-Advanced Level Problems Database-style Records: ID/City/Score INTERMEDIATE ADVANCED

Excel in competitive exams with this self assessment worksheet on Database-style Records: ID/City/Score. Worksheet 7 of 10 contains 20 intermediate-advanced-level problems. Target your accuracy improvement skills while practicing database-style records: id/city/score shortcut methods, database-style records: id/city/score bank exam questions, and database-style records: id/city/score ssc cgl.

📝 Worksheet 7 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 7 of 10 (66% 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 395 has a higher score than the record from Bengaluru. - Fatima's score is not the lowest. - The person from Delhi has an ID greater than 920. 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
--- | --- | --- | ---
505 | Ira | Hyderabad | 77
245 | Gaurav | Bengaluru | 85
423 | Fatima | Chennai | 75
395 | Mira | Delhi | 87
920 | Xavier | Mumbai | 81
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 395 has a higher score than the record from Bengaluru.
- Fatima's score is not the lowest.
- The person from Delhi has an ID greater than 920.

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 580 has a higher score than the record from Bengaluru. - Tara's score is not the lowest. - The person from Delhi has an ID greater than 528. 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
--- | --- | --- | ---
463 | Eshan | Mumbai | 84
296 | Diya | Bengaluru | 81
129 | Tara | Hyderabad | 80
580 | Qadir | Delhi | 96
528 | Cyrus | Chennai | 83
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 580 has a higher score than the record from Bengaluru.
- Tara's score is not the lowest.
- The person from Delhi has an ID greater than 528.

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 113 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 533. 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
--- | --- | --- | ---
794 | Priya | Hyderabad | 91
309 | Diya | Delhi | 85
955 | Zoya | Chennai | 88
113 | Uma | Bengaluru | 96
533 | Aarav | Mumbai | 71
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 113 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 533.

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 373 has a higher score than the record from Chennai. - Aarav's score is not the lowest. - The person from Hyderabad 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
--- | --- | --- | ---
745 | Mira | Delhi | 93
373 | Omar | Chennai | 95
415 | Aarav | Bengaluru | 91
582 | Cyrus | Hyderabad | 87
796 | Yash | Mumbai | 94
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 373 has a higher score than the record from Chennai.
- Aarav's score is not the lowest.
- The person from Hyderabad has an ID greater than 796.

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 128 has a higher score than the record from Chennai. - Hina's score is not the lowest. - The person from Bengaluru has an ID greater than 128. 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
--- | --- | --- | ---
167 | Priya | Delhi | 79
499 | Gaurav | Chennai | 78
581 | Hina | Hyderabad | 76
667 | Fatima | Bengaluru | 93
128 | Jatin | Mumbai | 95
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 128 has a higher score than the record from Chennai.
- Hina's score is not the lowest.
- The person from Bengaluru has an ID greater than 128.

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 342 has a higher score than the record from Bengaluru. - Bhavya's score is not the lowest. - The person from Mumbai has an ID greater than 184. 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
--- | --- | --- | ---
280 | Gaurav | Chennai | 97
526 | Kaira | Bengaluru | 74
155 | Bhavya | Delhi | 95
342 | Yash | Mumbai | 98
184 | Hina | Hyderabad | 90
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 342 has a higher score than the record from Bengaluru.
- Bhavya's score is not the lowest.
- The person from Mumbai has an ID greater than 184.

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 369 has a higher score than the record from Mumbai. - Fatima's score is not the lowest. - The person from Hyderabad has an ID greater than 530. 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
--- | --- | --- | ---
369 | Nihal | Delhi | 98
137 | Rhea | Mumbai | 88
131 | Fatima | Chennai | 85
462 | Ira | Hyderabad | 93
530 | Mira | Bengaluru | 70
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 369 has a higher score than the record from Mumbai.
- Fatima's score is not the lowest.
- The person from Hyderabad has an ID greater than 530.

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 790 has a higher score than the record from Delhi. - Rhea's score is not the lowest. - The person from Mumbai has an ID greater than 790. 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
--- | --- | --- | ---
562 | Ira | Chennai | 91
901 | Zoya | Delhi | 77
496 | Rhea | Hyderabad | 95
994 | Yash | Mumbai | 72
790 | Jatin | Bengaluru | 98
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 790 has a higher score than the record from Delhi.
- Rhea's score is not the lowest.
- The person from Mumbai has an ID greater than 790.

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 125 has a higher score than the record from Chennai. - Laksh's score is not the lowest. - The person from Hyderabad has an ID greater than 125. 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
--- | --- | --- | ---
632 | Nihal | Delhi | 74
933 | Eshan | Chennai | 72
953 | Laksh | Mumbai | 85
103 | Uma | Hyderabad | 75
125 | Xavier | Bengaluru | 92
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 125 has a higher score than the record from Chennai.
- Laksh's score is not the lowest.
- The person from Hyderabad has an ID greater than 125.

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 687 has a higher score than the record from Mumbai. - Jatin's score is not the lowest. - The person from Hyderabad has an ID greater than 695. 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
--- | --- | --- | ---
876 | Eshan | Delhi | 91
687 | Rhea | Mumbai | 99
158 | Jatin | Chennai | 79
910 | Diya | Hyderabad | 71
695 | Zoya | Bengaluru | 86
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 687 has a higher score than the record from Mumbai.
- Jatin's score is not the lowest.
- The person from Hyderabad has an ID greater than 695.

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 447 has a higher score than the record from Chennai. - Cyrus's score is not the lowest. - The person from Bengaluru has an ID greater than 982. 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
--- | --- | --- | ---
928 | Omar | Hyderabad | 71
240 | Laksh | Chennai | 86
652 | Cyrus | Mumbai | 82
447 | Xavier | Bengaluru | 91
982 | Fatima | Delhi | 79
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 447 has a higher score than the record from Chennai.
- Cyrus's score is not the lowest.
- The person from Bengaluru has an ID greater than 982.

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 595 has a higher score than the record from Mumbai. - Priya's score is not the lowest. - The person from Hyderabad has an ID greater than 589. 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
--- | --- | --- | ---
595 | Rhea | Delhi | 95
859 | Omar | Mumbai | 87
221 | Priya | Chennai | 94
256 | Aarav | Hyderabad | 92
589 | Kaira | Bengaluru | 91
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 595 has a higher score than the record from Mumbai.
- Priya's score is not the lowest.
- The person from Hyderabad has an ID greater than 589.

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 600 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 631. 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
--- | --- | --- | ---
802 | Omar | Chennai | 70
916 | Jatin | Mumbai | 82
207 | Fatima | Bengaluru | 91
600 | Tara | Delhi | 92
631 | Hina | Hyderabad | 84
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 600 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 631.

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 639 has a higher score than the record from Chennai. - Eshan's score is not the lowest. - The person from Bengaluru has an ID greater than 356. 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
--- | --- | --- | ---
731 | Laksh | Delhi | 84
161 | Cyrus | Chennai | 91
919 | Eshan | Mumbai | 89
639 | Wafa | Bengaluru | 97
356 | Yash | Hyderabad | 73
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 639 has a higher score than the record from Chennai.
- Eshan's score is not the lowest.
- The person from Bengaluru has an ID greater than 356.

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 999 has a higher score than the record from Bengaluru. - Xavier's score is not the lowest. - The person from Hyderabad has an ID greater than 733. 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
--- | --- | --- | ---
999 | Sahil | Delhi | 96
864 | Diya | Bengaluru | 83
824 | Xavier | Mumbai | 72
450 | Qadir | Hyderabad | 70
733 | Bhavya | Chennai | 87
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 999 has a higher score than the record from Bengaluru.
- Xavier's score is not the lowest.
- The person from Hyderabad has an ID greater than 733.

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 466 has a higher score than the record from Delhi. - Sahil's score is not the lowest. - The person from Hyderabad has an ID greater than 120. 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
--- | --- | --- | ---
354 | Wafa | Bengaluru | 84
269 | Fatima | Delhi | 78
466 | Sahil | Chennai | 91
851 | Aarav | Hyderabad | 89
120 | Cyrus | Mumbai | 80
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 466 has a higher score than the record from Delhi.
- Sahil's score is not the lowest.
- The person from Hyderabad has an ID greater than 120.

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 516 has a higher score than the record from Hyderabad. - Priya's score is not the lowest. - The person from Mumbai has an ID greater than 854. 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 | Bhavya | Delhi | 96
332 | Wafa | Hyderabad | 74
290 | Priya | Chennai | 80
377 | Xavier | Mumbai | 72
854 | Nihal | Bengaluru | 85
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 516 has a higher score than the record from Hyderabad.
- Priya's score is not the lowest.
- The person from Mumbai has an ID greater than 854.

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 425 has a higher score than the record from Delhi. - Vihaan's score is not the lowest. - The person from Mumbai has an ID greater than 972. 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
--- | --- | --- | ---
425 | Zoya | Chennai | 97
916 | Sahil | Delhi | 95
518 | Vihaan | Bengaluru | 74
841 | Xavier | Mumbai | 81
972 | Uma | Hyderabad | 84
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 425 has a higher score than the record from Delhi.
- Vihaan's score is not the lowest.
- The person from Mumbai has an ID greater than 972.

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 815 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 858. 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
--- | --- | --- | ---
815 | Qadir | Mumbai | 93
915 | Sahil | Chennai | 90
356 | Laksh | Delhi | 73
265 | Vihaan | Bengaluru | 75
858 | Jatin | Hyderabad | 74
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 815 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 858.

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 929 has a higher score than the record from Mumbai. - Rhea'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
--- | --- | --- | ---
929 | Qadir | Hyderabad | 96
779 | Ira | Mumbai | 91
274 | Rhea | Chennai | 92
170 | Zoya | Delhi | 78
470 | Aarav | Bengaluru | 86
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 929 has a higher score than the record from Mumbai.
- Rhea's score is not the lowest.
- The person from Delhi has an ID greater than 470.
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