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Database-style Records: ID/City/Score Beginner-Intermediate Worksheet: Focus on common variations practice Database-style Records: ID/City/Score BEGINNER INTERMEDIATE

Level up your Database-style Records: ID/City/Score skills! You're at Worksheet 4 of 10 (33% through this series). This step-up challenge worksheet features 20 beginner-intermediate-level problems with a focus on common variations practice. Topics covered: database-style records: id/city/score for competitive exams, how to solve database-style records: id/city/score, database-style records: id/city/score tricks.

📝 Worksheet 4 of 10 • 20 questions • ⏱️ Estimated time: 20 minutes • 🎯 Beginner Intermediate level

What you'll learn in this worksheet:
Your progress through Database-style Records: ID/City/Score
Worksheet 4 of 10 (33% 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 766 has a higher score than the record from Chennai. - Wafa's score is not the lowest. - The person from Bengaluru has an ID greater than 412. 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
--- | --- | --- | ---
381 | Bhavya | Hyderabad | 73
766 | Sahil | Chennai | 98
235 | Wafa | Mumbai | 82
524 | Jatin | Bengaluru | 90
412 | Hina | Delhi | 81
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 766 has a higher score than the record from Chennai.
- Wafa's score is not the lowest.
- The person from Bengaluru has an ID greater than 412.

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 604 has a higher score than the record from Delhi. - Hina's score is not the lowest. - The person from Hyderabad has an ID greater than 226. 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
--- | --- | --- | ---
243 | Fatima | Mumbai | 84
604 | Qadir | Delhi | 98
301 | Hina | Chennai | 78
342 | Bhavya | Hyderabad | 75
226 | Omar | Bengaluru | 72
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 604 has a higher score than the record from Delhi.
- Hina's score is not the lowest.
- The person from Hyderabad has an ID greater than 226.

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 307 has a higher score than the record from Hyderabad. - Jatin's score is not the lowest. - The person from Delhi has an ID greater than 382. 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
--- | --- | --- | ---
518 | Fatima | Mumbai | 70
307 | Mira | Hyderabad | 96
156 | Jatin | Bengaluru | 75
347 | Aarav | Delhi | 80
382 | Tara | Chennai | 84
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 307 has a higher score than the record from Hyderabad.
- Jatin's score is not the lowest.
- The person from Delhi has an ID greater than 382.

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 894 has a higher score than the record from Hyderabad. - Wafa's score is not the lowest. - The person from Bengaluru has an ID greater than 894. 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
--- | --- | --- | ---
204 | Tara | Chennai | 75
496 | Bhavya | Hyderabad | 78
916 | Wafa | Delhi | 70
635 | Xavier | Bengaluru | 76
894 | Laksh | Mumbai | 92
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 894 has a higher score than the record from Hyderabad.
- Wafa's score is not the lowest.
- The person from Bengaluru has an ID greater than 894.

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 897 has a higher score than the record from Chennai. - Uma's score is not the lowest. - The person from Delhi has an ID greater than 264. 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
--- | --- | --- | ---
381 | Qadir | Hyderabad | 75
320 | Gaurav | Chennai | 85
862 | Uma | Bengaluru | 76
897 | Fatima | Delhi | 97
264 | Sahil | Mumbai | 93
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 897 has a higher score than the record from Chennai.
- Uma's score is not the lowest.
- The person from Delhi has an ID greater than 264.

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 155 has a higher score than the record from Delhi. - Cyrus's score is not the lowest. - The person from Mumbai has an ID greater than 684. 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
--- | --- | --- | ---
385 | Tara | Hyderabad | 71
155 | Hina | Delhi | 82
412 | Cyrus | Chennai | 74
485 | Diya | Mumbai | 77
684 | Wafa | Bengaluru | 70
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.
- Cyrus's score is not the lowest.
- The person from Mumbai has an ID greater than 684.

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 408 has a higher score than the record from Bengaluru. - Hina's score is not the lowest. - The person from Mumbai has an ID greater than 855. 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
--- | --- | --- | ---
408 | Laksh | Hyderabad | 98
792 | Cyrus | Bengaluru | 92
384 | Hina | Delhi | 88
591 | Eshan | Mumbai | 70
855 | Vihaan | Chennai | 76
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 408 has a higher score than the record from Bengaluru.
- Hina's score is not the lowest.
- The person from Mumbai has an ID greater than 855.

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 445 has a higher score than the record from Chennai. - Sahil's score is not the lowest. - The person from Mumbai has an ID greater than 431. 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
--- | --- | --- | ---
927 | Eshan | Delhi | 92
445 | Rhea | Chennai | 96
884 | Sahil | Hyderabad | 72
730 | Vihaan | Mumbai | 86
431 | Cyrus | Bengaluru | 87
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 445 has a higher score than the record from Chennai.
- Sahil's score is not the lowest.
- The person from Mumbai has an ID greater than 431.

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 261 has a higher score than the record from Delhi. - Cyrus's score is not the lowest. - The person from Hyderabad has an ID greater than 261. 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
--- | --- | --- | ---
367 | Mira | Bengaluru | 88
144 | Nihal | Delhi | 82
974 | Cyrus | Mumbai | 91
792 | Diya | Hyderabad | 92
261 | Omar | Chennai | 97
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 261 has a higher score than the record from Delhi.
- Cyrus's score is not the lowest.
- The person from Hyderabad has an ID greater than 261.

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 619 has a higher score than the record from Delhi. - Eshan's score is not the lowest. - The person from Chennai has an ID greater than 619. 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 | Zoya | Bengaluru | 95
948 | Nihal | Delhi | 70
158 | Eshan | Mumbai | 79
212 | Cyrus | Chennai | 86
619 | Vihaan | Hyderabad | 98
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 619 has a higher score than the record from Delhi.
- Eshan's score is not the lowest.
- The person from Chennai has an ID greater than 619.

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 361 has a higher score than the record from Mumbai. - Cyrus's score is not the lowest. - The person from Hyderabad has an ID greater than 442. 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
--- | --- | --- | ---
361 | Kaira | Chennai | 96
388 | Jatin | Mumbai | 70
327 | Cyrus | Bengaluru | 80
660 | Gaurav | Hyderabad | 94
442 | Nihal | Delhi | 83
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 361 has a higher score than the record from Mumbai.
- Cyrus's score is not the lowest.
- The person from Hyderabad has an ID greater than 442.

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 112 has a higher score than the record from Bengaluru. - Wafa's score is not the lowest. - The person from Chennai has an ID greater than 112. 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
--- | --- | --- | ---
784 | Nihal | Hyderabad | 78
976 | Jatin | Bengaluru | 81
463 | Wafa | Delhi | 71
548 | Gaurav | Chennai | 89
112 | Xavier | Mumbai | 99
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 112 has a higher score than the record from Bengaluru.
- Wafa's score is not the lowest.
- The person from Chennai has an ID greater than 112.

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 953 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 812. 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
--- | --- | --- | ---
953 | Tara | Delhi | 98
872 | Mira | Bengaluru | 72
813 | Xavier | Mumbai | 96
199 | Nihal | Hyderabad | 81
812 | Qadir | Chennai | 91
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 953 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 812.

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 781 has a higher score than the record from Mumbai. - Priya's score is not the lowest. - The person from Delhi has an ID greater than 781. 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
--- | --- | --- | ---
446 | Zoya | Chennai | 79
939 | Omar | Mumbai | 81
242 | Priya | Hyderabad | 85
551 | Qadir | Delhi | 77
781 | Diya | Bengaluru | 99
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 781 has a higher score than the record from Mumbai.
- Priya's score is not the lowest.
- The person from Delhi has an ID greater than 781.

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 384 has a higher score than the record from Bengaluru. - Vihaan's score is not the lowest. - The person from Chennai has an ID greater than 384. 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
--- | --- | --- | ---
686 | Eshan | Delhi | 88
741 | Gaurav | Bengaluru | 79
346 | Vihaan | Hyderabad | 71
590 | Qadir | Chennai | 85
384 | Rhea | Mumbai | 93
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 384 has a higher score than the record from Bengaluru.
- Vihaan's score is not the lowest.
- The person from Chennai has an ID greater than 384.

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 290 has a higher score than the record from Delhi. - Aarav's score is not the lowest. - The person from Hyderabad has an ID greater than 980. 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
--- | --- | --- | ---
203 | Rhea | Chennai | 92
513 | Tara | Delhi | 79
290 | Aarav | Mumbai | 93
539 | Qadir | Hyderabad | 83
980 | Sahil | Bengaluru | 88
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 290 has a higher score than the record from Delhi.
- Aarav's score is not the lowest.
- The person from Hyderabad has an ID greater than 980.

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 402 has a higher score than the record from Bengaluru. - Omar's score is not the lowest. - The person from Delhi has an ID greater than 200. 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
--- | --- | --- | ---
383 | Uma | Mumbai | 88
512 | Rhea | Bengaluru | 89
829 | Omar | Chennai | 84
402 | Laksh | Delhi | 95
200 | Kaira | Hyderabad | 83
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 402 has a higher score than the record from Bengaluru.
- Omar's score is not the lowest.
- The person from Delhi has an ID greater than 200.

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 599 has a higher score than the record from Delhi. - Wafa's score is not the lowest. - The person from Chennai has an ID greater than 599. 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
--- | --- | --- | ---
364 | Sahil | Bengaluru | 81
622 | Priya | Delhi | 82
297 | Wafa | Mumbai | 70
118 | Mira | Chennai | 86
599 | Yash | Hyderabad | 95
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 599 has a higher score than the record from Delhi.
- Wafa's score is not the lowest.
- The person from Chennai has an ID greater than 599.

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 592 has a higher score than the record from Mumbai. - Xavier's score is not the lowest. - The person from Bengaluru has an ID greater than 389. 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
--- | --- | --- | ---
116 | Nihal | Delhi | 79
450 | Jatin | Mumbai | 74
363 | Xavier | Hyderabad | 80
592 | Sahil | Bengaluru | 91
389 | Fatima | Chennai | 88
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 592 has a higher score than the record from Mumbai.
- Xavier's score is not the lowest.
- The person from Bengaluru has an ID greater than 389.

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 597 has a higher score than the record from Hyderabad. - Yash's score is not the lowest. - The person from Delhi has an ID greater than 961. 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
--- | --- | --- | ---
234 | Mira | Mumbai | 84
597 | Gaurav | Hyderabad | 91
902 | Yash | Chennai | 71
226 | Uma | Delhi | 75
961 | Omar | Bengaluru | 80
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 597 has a higher score than the record from Hyderabad.
- Yash's score is not the lowest.
- The person from Delhi has an ID greater than 961.
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