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Database-style Records: ID/City/Score: Worksheet 2 - Beginner Practice Database-style Records: ID/City/Score BEGINNER

Ready to master Database-style Records: ID/City/Score? This entry level practice worksheet (2/10) presents 20 beginner-level challenges. Focus area: pattern recognition. Learn to solve database-style records: id/city/score reasoning questions, handle database-style records: id/city/score practice, and perfect database-style records: id/city/score for competitive exams with our step-by-step solutions.

📝 Worksheet 2 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 2 of 10 (11% 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 585 has a higher score than the record from Bengaluru. - Zoya's score is not the lowest. - The person from Hyderabad has an ID greater than 702. 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
--- | --- | --- | ---
820 | Jatin | Delhi | 88
585 | Xavier | Bengaluru | 95
106 | Zoya | Mumbai | 77
577 | Uma | Hyderabad | 85
702 | Vihaan | Chennai | 92
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 585 has a higher score than the record from Bengaluru.
- Zoya's score is not the lowest.
- The person from Hyderabad has an ID greater than 702.

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 177 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 592. 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 | Eshan | Chennai | 97
204 | Diya | Delhi | 74
231 | Vihaan | Bengaluru | 75
177 | Priya | Mumbai | 99
592 | Omar | Hyderabad | 86
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.
- Vihaan's score is not the lowest.
- The person from Mumbai has an ID greater than 592.

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 573 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 187. 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
--- | --- | --- | ---
615 | Aarav | Hyderabad | 79
387 | Eshan | Bengaluru | 92
573 | Yash | Mumbai | 97
473 | Vihaan | Chennai | 93
187 | Bhavya | Delhi | 94
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 573 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 187.

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 137 has a higher score than the record from Bengaluru. - Sahil's score is not the lowest. - The person from Hyderabad has an ID greater than 672. 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
--- | --- | --- | ---
465 | Eshan | Chennai | 97
302 | Nihal | Bengaluru | 81
137 | Sahil | Delhi | 99
446 | Bhavya | Hyderabad | 86
672 | Xavier | Mumbai | 87
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 137 has a higher score than the record from Bengaluru.
- Sahil's score is not the lowest.
- The person from Hyderabad has an ID greater than 672.

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 935 has a higher score than the record from Bengaluru. - Ira's score is not the lowest. - The person from Delhi has an ID greater than 935. 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 | Cyrus | Hyderabad | 74
846 | Priya | Bengaluru | 91
146 | Ira | Mumbai | 87
461 | Zoya | Delhi | 88
935 | Mira | Chennai | 98
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 935 has a higher score than the record from Bengaluru.
- Ira's score is not the lowest.
- The person from Delhi has an ID greater than 935.

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 453 has a higher score than the record from Bengaluru. - Zoya's score is not the lowest. - The person from Hyderabad has an ID greater than 122. 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
--- | --- | --- | ---
723 | Yash | Delhi | 85
453 | Nihal | Bengaluru | 97
298 | Zoya | Chennai | 95
645 | Aarav | Hyderabad | 93
122 | Jatin | Mumbai | 81
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.
- Zoya's score is not the lowest.
- The person from Hyderabad has an ID greater than 122.

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 698 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 977. 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 | Sahil | Bengaluru | 92
310 | Rhea | Hyderabad | 83
225 | Yash | Mumbai | 89
673 | Omar | Delhi | 75
977 | Zoya | Chennai | 73
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 Hyderabad.
- Yash's score is not the lowest.
- The person from Delhi has an ID greater than 977.

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 685 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 174. 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
--- | --- | --- | ---
637 | Fatima | Chennai | 80
917 | Diya | Hyderabad | 84
181 | Uma | Mumbai | 86
685 | Bhavya | Bengaluru | 94
174 | Sahil | Delhi | 73
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 685 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 174.

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 686 has a higher score than the record from Mumbai. - Xavier's score is not the lowest. - The person from Chennai 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
--- | --- | --- | ---
887 | Aarav | Delhi | 73
686 | Ira | Mumbai | 99
547 | Xavier | Hyderabad | 85
663 | Vihaan | Chennai | 95
605 | Eshan | Bengaluru | 92
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 686 has a higher score than the record from Mumbai.
- Xavier's score is not the lowest.
- The person from Chennai has an ID greater than 605.

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 349 has a higher score than the record from Delhi. - Nihal's score is not the lowest. - The person from Hyderabad has an ID greater than 349. 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
--- | --- | --- | ---
723 | Kaira | Chennai | 81
231 | Sahil | Delhi | 78
171 | Nihal | Bengaluru | 89
904 | Fatima | Hyderabad | 73
349 | Eshan | Mumbai | 92
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 349 has a higher score than the record from Delhi.
- Nihal's score is not the lowest.
- The person from Hyderabad has an ID greater than 349.

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 403 has a higher score than the record from Hyderabad. - Omar's score is not the lowest. - The person from Delhi has an ID greater than 366. 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
--- | --- | --- | ---
432 | Fatima | Chennai | 77
403 | Hina | Hyderabad | 93
175 | Omar | Bengaluru | 82
340 | Gaurav | Delhi | 90
366 | Sahil | Mumbai | 91
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 403 has a higher score than the record from Hyderabad.
- Omar's score is not the lowest.
- The person from Delhi has an ID greater than 366.

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 229 has a higher score than the record from Chennai. - Omar's score is not the lowest. - The person from Hyderabad has an ID greater than 402. 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
--- | --- | --- | ---
114 | Zoya | Mumbai | 87
490 | Ira | Chennai | 89
796 | Omar | Delhi | 80
229 | Sahil | Hyderabad | 98
402 | Eshan | Bengaluru | 91
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 229 has a higher score than the record from Chennai.
- Omar's score is not the lowest.
- The person from Hyderabad has an ID greater than 402.

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 160 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 495. 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
--- | --- | --- | ---
160 | Diya | Mumbai | 99
284 | Uma | Hyderabad | 93
414 | Yash | Chennai | 88
662 | Fatima | Delhi | 70
495 | Rhea | Bengaluru | 76
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 160 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 495.

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 414 has a higher score than the record from Mumbai. - Uma's score is not the lowest. - The person from Delhi has an ID greater than 637. 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
--- | --- | --- | ---
186 | Jatin | Chennai | 70
414 | Qadir | Mumbai | 96
879 | Uma | Hyderabad | 94
202 | Sahil | Delhi | 89
637 | Diya | Bengaluru | 82
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 414 has a higher score than the record from Mumbai.
- Uma's score is not the lowest.
- The person from Delhi has an ID greater than 637.

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 825 has a higher score than the record from Chennai. - Aarav's score is not the lowest. - The person from Mumbai has an ID greater than 222. 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
--- | --- | --- | ---
825 | Tara | Bengaluru | 99
144 | Ira | Chennai | 97
175 | Aarav | Hyderabad | 95
236 | Sahil | Mumbai | 82
222 | Gaurav | Delhi | 84
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 825 has a higher score than the record from Chennai.
- Aarav's score is not the lowest.
- The person from Mumbai has an ID greater than 222.

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 739 has a higher score than the record from Bengaluru. - Eshan's score is not the lowest. - The person from Delhi 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
--- | --- | --- | ---
739 | Gaurav | Mumbai | 80
339 | Fatima | Bengaluru | 79
356 | Eshan | Chennai | 73
359 | Yash | Delhi | 77
988 | Kaira | Hyderabad | 70
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 739 has a higher score than the record from Bengaluru.
- Eshan's score is not the lowest.
- The person from Delhi has an ID greater than 988.

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 422 has a higher score than the record from Hyderabad. - Vihaan's score is not the lowest. - The person from Bengaluru has an ID greater than 929. 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
--- | --- | --- | ---
893 | Zoya | Mumbai | 82
145 | Xavier | Hyderabad | 71
320 | Vihaan | Delhi | 70
422 | Mira | Bengaluru | 86
929 | Kaira | Chennai | 77
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 422 has a higher score than the record from Hyderabad.
- Vihaan's score is not the lowest.
- The person from Bengaluru has an ID greater than 929.

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 494 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 941. 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
--- | --- | --- | ---
522 | Diya | Hyderabad | 92
494 | Xavier | Delhi | 95
478 | Eshan | Mumbai | 82
604 | Zoya | Bengaluru | 87
941 | Wafa | Chennai | 83
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 494 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 941.

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 961 has a higher score than the record from Mumbai. - Ira's score is not the lowest. - The person from Delhi has an ID greater than 802. 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
--- | --- | --- | ---
235 | Wafa | Hyderabad | 72
680 | Uma | Mumbai | 73
679 | Ira | Bengaluru | 87
961 | Mira | Delhi | 99
802 | Cyrus | Chennai | 82
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 961 has a higher score than the record from Mumbai.
- Ira's score is not the lowest.
- The person from Delhi has an ID greater than 802.

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 642 has a higher score than the record from Hyderabad. - Bhavya's score is not the lowest. - The person from Chennai has an ID greater than 642. 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
--- | --- | --- | ---
616 | Sahil | Delhi | 93
208 | Vihaan | Hyderabad | 91
438 | Bhavya | Bengaluru | 79
400 | Uma | Chennai | 95
642 | Tara | Mumbai | 99
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 642 has a higher score than the record from Hyderabad.
- Bhavya's score is not the lowest.
- The person from Chennai has an ID greater than 642.
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