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Master Database-style Records: ID/City/Score - Beginner Level Problems Database-style Records: ID/City/Score BEGINNER

Excel in competitive exams with this skill builder ⚡ worksheet on Database-style Records: ID/City/Score. Worksheet 3 of 10 contains 20 beginner-level problems. Target your step-by-step problem solving skills while practicing database-style records: id/city/score practice, database-style records: id/city/score for competitive exams, and how to solve database-style records: id/city/score.

📝 Worksheet 3 of 10 • 20 questions • ⏱️ Estimated time: 20 minutes • 🎯 Beginner level

What you'll learn in this worksheet:
Your progress through Database-style Records: ID/City/Score
Worksheet 3 of 10 (22% 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 880 has a higher score than the record from Chennai. - Mira's score is not the lowest. - The person from Hyderabad has an ID greater than 211. 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
--- | --- | --- | ---
880 | Ira | Bengaluru | 98
137 | Xavier | Chennai | 79
104 | Mira | Delhi | 88
524 | Rhea | Hyderabad | 83
211 | Diya | Mumbai | 75
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 880 has a higher score than the record from Chennai.
- Mira's score is not the lowest.
- The person from Hyderabad has an ID greater than 211.

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 523 has a higher score than the record from Bengaluru. - Wafa's score is not the lowest. - The person from Delhi has an ID greater than 843. 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
--- | --- | --- | ---
718 | Sahil | Hyderabad | 71
542 | Uma | Bengaluru | 83
774 | Wafa | Chennai | 73
523 | Diya | Delhi | 90
843 | Vihaan | Mumbai | 78
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 523 has a higher score than the record from Bengaluru.
- Wafa's score is not the lowest.
- The person from Delhi has an ID greater than 843.

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 891 has a higher score than the record from Mumbai. - Tara's score is not the lowest. - The person from Chennai has an ID greater than 704. 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
--- | --- | --- | ---
798 | Sahil | Delhi | 78
891 | Zoya | Mumbai | 93
670 | Tara | Bengaluru | 83
192 | Xavier | Chennai | 91
704 | Wafa | Hyderabad | 92
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 891 has a higher score than the record from Mumbai.
- Tara's score is not the lowest.
- The person from Chennai has an ID greater than 704.

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 459 has a higher score than the record from Bengaluru. - Yash's score is not the lowest. - The person from Chennai has an ID greater than 314. 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
--- | --- | --- | ---
101 | Bhavya | Hyderabad | 78
818 | Wafa | Bengaluru | 79
459 | Yash | Mumbai | 97
860 | Priya | Chennai | 96
314 | Ira | Delhi | 72
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 459 has a higher score than the record from Bengaluru.
- Yash's score is not the lowest.
- The person from Chennai has an ID greater than 314.

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 523 has a higher score than the record from Bengaluru. - Priya's score is not the lowest. - The person from Chennai has an ID greater than 615. 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
--- | --- | --- | ---
165 | Uma | Mumbai | 93
208 | Wafa | Bengaluru | 70
288 | Priya | Hyderabad | 81
523 | Kaira | Chennai | 97
615 | Nihal | Delhi | 94
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 523 has a higher score than the record from Bengaluru.
- Priya's score is not the lowest.
- The person from Chennai has an ID greater than 615.

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 921 has a higher score than the record from Chennai. - Yash's score is not the lowest. - The person from Delhi has an ID greater than 359. 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
--- | --- | --- | ---
921 | Uma | Hyderabad | 93
395 | Diya | Chennai | 88
357 | Yash | Mumbai | 76
194 | Wafa | Delhi | 80
359 | Nihal | Bengaluru | 86
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 921 has a higher score than the record from Chennai.
- Yash's score is not the lowest.
- The person from Delhi has an ID greater than 359.

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 262 has a higher score than the record from Chennai. - Omar's score is not the lowest. - The person from Mumbai has an ID greater than 262. 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
--- | --- | --- | ---
667 | Fatima | Bengaluru | 94
124 | Eshan | Chennai | 88
683 | Omar | Hyderabad | 71
121 | Nihal | Mumbai | 80
262 | Rhea | Delhi | 96
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 262 has a higher score than the record from Chennai.
- Omar's score is not the lowest.
- The person from Mumbai has an ID greater than 262.

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 885 has a higher score than the record from Delhi. - Xavier's score is not the lowest. - The person from Hyderabad has an ID greater than 885. 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
--- | --- | --- | ---
194 | Qadir | Bengaluru | 74
316 | Aarav | Delhi | 78
758 | Xavier | Chennai | 90
247 | Jatin | Hyderabad | 88
885 | Omar | Mumbai | 97
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 885 has a higher score than the record from Delhi.
- Xavier's score is not the lowest.
- The person from Hyderabad has an ID greater than 885.

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 118 has a higher score than the record from Chennai. - Eshan's score is not the lowest. - The person from Delhi has an ID greater than 756. 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
--- | --- | --- | ---
789 | Ira | Bengaluru | 93
854 | Uma | Chennai | 76
118 | Eshan | Mumbai | 95
208 | Bhavya | Delhi | 73
756 | Mira | Hyderabad | 84
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 118 has a higher score than the record from Chennai.
- Eshan's score is not the lowest.
- The person from Delhi has an ID greater than 756.

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 928 has a higher score than the record from Hyderabad. - Qadir's score is not the lowest. - The person from Bengaluru has an ID greater than 884. 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
--- | --- | --- | ---
219 | Kaira | Mumbai | 79
472 | Rhea | Hyderabad | 80
381 | Qadir | Delhi | 88
928 | Xavier | Bengaluru | 99
884 | Gaurav | Chennai | 85
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 928 has a higher score than the record from Hyderabad.
- Qadir's score is not the lowest.
- The person from Bengaluru has an ID greater than 884.

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 148 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 206. 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
--- | --- | --- | ---
558 | Vihaan | Mumbai | 70
277 | Fatima | Chennai | 71
148 | Cyrus | Hyderabad | 92
142 | Priya | Bengaluru | 86
206 | Xavier | Delhi | 84
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 148 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 206.

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 393 has a higher score than the record from Bengaluru. - Nihal's score is not the lowest. - The person from Hyderabad 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
--- | --- | --- | ---
352 | Yash | Chennai | 78
176 | Zoya | Bengaluru | 80
393 | Nihal | Mumbai | 90
955 | Bhavya | Hyderabad | 81
200 | Omar | Delhi | 76
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 393 has a higher score than the record from Bengaluru.
- Nihal's score is not the lowest.
- The person from Hyderabad has an ID greater than 200.

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 989 has a higher score than the record from Bengaluru. - Fatima's score is not the lowest. - The person from Hyderabad has an ID greater than 989. 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
--- | --- | --- | ---
187 | Jatin | Delhi | 70
371 | Vihaan | Bengaluru | 83
916 | Fatima | Mumbai | 73
383 | Nihal | Hyderabad | 79
989 | Rhea | Chennai | 99
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 989 has a higher score than the record from Bengaluru.
- Fatima's score is not the lowest.
- The person from Hyderabad has an ID greater than 989.

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 324 has a higher score than the record from Hyderabad. - Jatin's score is not the lowest. - The person from Mumbai has an ID greater than 182. 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
--- | --- | --- | ---
324 | Diya | Chennai | 92
613 | Vihaan | Hyderabad | 87
908 | Jatin | Bengaluru | 86
743 | Ira | Mumbai | 76
182 | Qadir | Delhi | 91
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 324 has a higher score than the record from Hyderabad.
- Jatin's score is not the lowest.
- The person from Mumbai has an ID greater than 182.

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 324 has a higher score than the record from Hyderabad. - Uma's score is not the lowest. - The person from Bengaluru has an ID greater than 737. 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
--- | --- | --- | ---
782 | Vihaan | Mumbai | 88
324 | Bhavya | Hyderabad | 96
281 | Uma | Chennai | 70
595 | Rhea | Bengaluru | 83
737 | Fatima | Delhi | 91
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 324 has a higher score than the record from Hyderabad.
- Uma's score is not the lowest.
- The person from Bengaluru has an ID greater than 737.

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 339 has a higher score than the record from Delhi. - Eshan's score is not the lowest. - The person from Bengaluru 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
--- | --- | --- | ---
255 | Diya | Chennai | 72
895 | Sahil | Delhi | 76
339 | Eshan | Mumbai | 99
460 | Cyrus | Bengaluru | 79
446 | Mira | Hyderabad | 96
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 339 has a higher score than the record from Delhi.
- Eshan's score is not the lowest.
- The person from Bengaluru has an ID greater than 446.

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 768 has a higher score than the record from Chennai. - Priya's score is not the lowest. - The person from Delhi has an ID greater than 288. 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
--- | --- | --- | ---
298 | Uma | Hyderabad | 73
600 | Gaurav | Chennai | 86
768 | Priya | Bengaluru | 98
348 | Vihaan | Delhi | 77
288 | Eshan | Mumbai | 97
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 768 has a higher score than the record from Chennai.
- Priya's score is not the lowest.
- The person from Delhi has an ID greater than 288.

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 797 has a higher score than the record from Delhi. - Rhea's score is not the lowest. - The person from Hyderabad 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
--- | --- | --- | ---
457 | Uma | Mumbai | 79
797 | Aarav | Delhi | 98
560 | Rhea | Chennai | 80
859 | Eshan | Hyderabad | 94
668 | Fatima | Bengaluru | 90
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 797 has a higher score than the record from Delhi.
- Rhea's score is not the lowest.
- The person from Hyderabad has an ID greater than 668.

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 981 has a higher score than the record from Mumbai. - Wafa's score is not the lowest. - The person from Hyderabad 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
--- | --- | --- | ---
733 | Diya | Chennai | 79
300 | Vihaan | Mumbai | 78
981 | Wafa | Delhi | 99
558 | Jatin | Hyderabad | 96
470 | Uma | Bengaluru | 87
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 981 has a higher score than the record from Mumbai.
- Wafa's score is not the lowest.
- The person from Hyderabad has an ID greater than 470.

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 295 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 151. 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
--- | --- | --- | ---
295 | Tara | Chennai | 99
908 | Yash | Mumbai | 83
289 | Fatima | Bengaluru | 88
918 | Bhavya | Hyderabad | 98
151 | Omar | Delhi | 80
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 295 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 151.
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