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Database-style Records: ID/City/Score - Expert Level: conceptual clarity Database-style Records: ID/City/Score EXPERT

This skill evaluation ⚡ worksheet focuses on Database-style Records: ID/City/Score - a key topic in Data Arrangement. You'll solve 20 expert-level problems (Worksheet 9 of 10). The primary focus is on conceptual clarity. Master database-style records: id/city/score ssc cgl, database-style records: id/city/score reasoning tricks, and fast database-style records: id/city/score solving through systematic practice.

📝 Worksheet 9 of 10 • 20 questions • ⏱️ Estimated time: 20 minutes • 🎯 Expert level

What you'll learn in this worksheet:
Your progress through Database-style Records: ID/City/Score
Worksheet 9 of 10 (88% 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 742 has a higher score than the record from Chennai. - Jatin's score is not the lowest. - The person from Bengaluru has an ID greater than 232. 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
--- | --- | --- | ---
688 | Aarav | Hyderabad | 84
781 | Uma | Chennai | 82
513 | Jatin | Delhi | 77
742 | Mira | Bengaluru | 94
232 | Xavier | Mumbai | 89
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 742 has a higher score than the record from Chennai.
- Jatin's score is not the lowest.
- The person from Bengaluru has an ID greater than 232.

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 317 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 971. 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
--- | --- | --- | ---
757 | Yash | Delhi | 71
317 | Rhea | Bengaluru | 97
263 | Omar | Hyderabad | 95
533 | Mira | Chennai | 73
971 | Cyrus | Mumbai | 80
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 317 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 971.

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 106 has a higher score than the record from Hyderabad. - Yash's score is not the lowest. - The person from Mumbai 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
--- | --- | --- | ---
540 | Eshan | Chennai | 86
496 | Gaurav | Hyderabad | 72
206 | Yash | Bengaluru | 85
106 | Ira | Mumbai | 93
706 | Qadir | Delhi | 74
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 106 has a higher score than the record from Hyderabad.
- Yash's score is not the lowest.
- The person from Mumbai has an ID greater than 706.

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 470 has a higher score than the record from Chennai. - Sahil's score is not the lowest. - The person from Bengaluru has an ID greater than 447. 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
--- | --- | --- | ---
560 | Omar | Delhi | 92
470 | Kaira | Chennai | 99
835 | Sahil | Mumbai | 90
165 | Cyrus | Bengaluru | 72
447 | Xavier | Hyderabad | 88
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 470 has a higher score than the record from Chennai.
- Sahil's score is not the lowest.
- The person from Bengaluru has an ID greater than 447.

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 719 has a higher score than the record from Hyderabad. - Uma's score is not the lowest. - The person from Mumbai has an ID greater than 990. 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
--- | --- | --- | ---
719 | Rhea | Delhi | 88
304 | Jatin | Hyderabad | 73
194 | Uma | Chennai | 86
557 | Laksh | Mumbai | 70
990 | Xavier | Bengaluru | 84
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 719 has a higher score than the record from Hyderabad.
- Uma's score is not the lowest.
- The person from Mumbai has an ID greater than 990.

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 518 has a higher score than the record from Bengaluru. - Uma's score is not the lowest. - The person from Delhi has an ID greater than 554. 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
--- | --- | --- | ---
451 | Omar | Mumbai | 90
518 | Gaurav | Bengaluru | 95
292 | Uma | Chennai | 82
615 | Qadir | Delhi | 75
554 | Rhea | Hyderabad | 85
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 518 has a higher score than the record from Bengaluru.
- Uma's score is not the lowest.
- The person from Delhi has an ID greater than 554.

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 381 has a higher score than the record from Chennai. - Uma's score is not the lowest. - The person from Bengaluru has an ID greater than 354. 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
--- | --- | --- | ---
291 | Kaira | Mumbai | 79
408 | Laksh | Chennai | 85
430 | Uma | Delhi | 75
381 | Nihal | Bengaluru | 99
354 | Qadir | Hyderabad | 83
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 381 has a higher score than the record from Chennai.
- Uma's score is not the lowest.
- The person from Bengaluru has an ID greater than 354.

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 687 has a higher score than the record from Bengaluru. - Bhavya's score is not the lowest. - The person from Chennai has an ID greater than 687. 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
--- | --- | --- | ---
644 | Jatin | Delhi | 84
232 | Yash | Bengaluru | 80
648 | Bhavya | Mumbai | 89
603 | Xavier | Chennai | 82
687 | Sahil | Hyderabad | 94
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 Bengaluru.
- Bhavya's score is not the lowest.
- The person from Chennai has an ID greater than 687.

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 938 has a higher score than the record from Chennai. - Uma's score is not the lowest. - The person from Hyderabad has an ID greater than 745. 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
--- | --- | --- | ---
918 | Yash | Mumbai | 86
743 | Sahil | Chennai | 82
938 | Uma | Delhi | 98
263 | Nihal | Hyderabad | 77
745 | Priya | Bengaluru | 85
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 938 has a higher score than the record from Chennai.
- Uma's score is not the lowest.
- The person from Hyderabad has an ID greater than 745.

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 761 has a higher score than the record from Bengaluru. - Kaira's score is not the lowest. - The person from Mumbai has an ID greater than 581. 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
--- | --- | --- | ---
314 | Omar | Hyderabad | 74
518 | Eshan | Bengaluru | 85
761 | Kaira | Chennai | 93
557 | Hina | Mumbai | 81
581 | Zoya | Delhi | 79
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 761 has a higher score than the record from Bengaluru.
- Kaira's score is not the lowest.
- The person from Mumbai has an ID greater than 581.

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 584 has a higher score than the record from Delhi. - Diya's score is not the lowest. - The person from Bengaluru has an ID greater than 269. 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
--- | --- | --- | ---
841 | Mira | Hyderabad | 96
972 | Hina | Delhi | 79
584 | Diya | Mumbai | 97
526 | Bhavya | Bengaluru | 84
269 | Nihal | Chennai | 73
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 584 has a higher score than the record from Delhi.
- Diya's score is not the lowest.
- The person from Bengaluru has an ID greater than 269.

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 819 has a higher score than the record from Delhi. - Nihal's score is not the lowest. - The person from Mumbai has an ID greater than 677. 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
--- | --- | --- | ---
755 | Bhavya | Chennai | 72
856 | Omar | Delhi | 87
982 | Nihal | Hyderabad | 75
819 | Gaurav | Mumbai | 92
677 | Vihaan | Bengaluru | 79
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 819 has a higher score than the record from Delhi.
- Nihal's score is not the lowest.
- The person from Mumbai has an ID greater than 677.

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 948 has a higher score than the record from Chennai. - Gaurav's score is not the lowest. - The person from Delhi has an ID greater than 823. 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
--- | --- | --- | ---
584 | Sahil | Bengaluru | 70
948 | Hina | Chennai | 84
739 | Gaurav | Mumbai | 73
627 | Zoya | Delhi | 81
823 | Mira | Hyderabad | 75
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 948 has a higher score than the record from Chennai.
- Gaurav's score is not the lowest.
- The person from Delhi has an ID greater than 823.

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 199 has a higher score than the record from Mumbai. - Rhea's score is not the lowest. - The person from Bengaluru has an ID greater than 910. 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
--- | --- | --- | ---
404 | Gaurav | Chennai | 87
730 | Zoya | Mumbai | 85
199 | Rhea | Hyderabad | 95
287 | Omar | Bengaluru | 93
910 | Hina | Delhi | 79
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 199 has a higher score than the record from Mumbai.
- Rhea's score is not the lowest.
- The person from Bengaluru has an ID greater than 910.

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 108 has a higher score than the record from Delhi. - Mira's score is not the lowest. - The person from Chennai has an ID greater than 520. 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
--- | --- | --- | ---
988 | Uma | Mumbai | 87
108 | Jatin | Delhi | 94
677 | Mira | Hyderabad | 91
598 | Priya | Chennai | 77
520 | Tara | Bengaluru | 82
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 108 has a higher score than the record from Delhi.
- Mira's score is not the lowest.
- The person from Chennai has an ID greater than 520.

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 758 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 758. 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
--- | --- | --- | ---
986 | Xavier | Hyderabad | 84
536 | Ira | Chennai | 87
410 | Tara | Bengaluru | 90
856 | Rhea | Delhi | 88
758 | Laksh | Mumbai | 91
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 758 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 758.

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 300 has a higher score than the record from Mumbai. - Diya's score is not the lowest. - The person from Delhi has an ID greater than 663. 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
--- | --- | --- | ---
300 | Uma | Chennai | 93
827 | Laksh | Mumbai | 80
735 | Diya | Bengaluru | 71
596 | Bhavya | Delhi | 82
663 | Hina | Hyderabad | 84
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 300 has a higher score than the record from Mumbai.
- Diya's score is not the lowest.
- The person from Delhi has an ID greater than 663.

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 107 has a higher score than the record from Mumbai. - Wafa's score is not the lowest. - The person from Bengaluru has an ID greater than 801. 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
--- | --- | --- | ---
107 | Bhavya | Chennai | 99
678 | Laksh | Mumbai | 74
689 | Wafa | Delhi | 94
556 | Nihal | Bengaluru | 79
801 | Vihaan | Hyderabad | 85
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 107 has a higher score than the record from Mumbai.
- Wafa's score is not the lowest.
- The person from Bengaluru has an ID greater than 801.

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 558 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 148. 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 | Fatima | Chennai | 91
956 | Cyrus | Hyderabad | 87
210 | Qadir | Mumbai | 71
246 | Sahil | Bengaluru | 79
148 | Mira | Delhi | 72
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 558 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 148.

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 930 has a higher score than the record from Chennai. - Hina's score is not the lowest. - The person from Hyderabad has an ID greater than 304. 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
--- | --- | --- | ---
930 | Kaira | Mumbai | 94
522 | Xavier | Chennai | 79
165 | Hina | Bengaluru | 85
417 | Laksh | Hyderabad | 76
304 | Eshan | Delhi | 74
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 930 has a higher score than the record from Chennai.
- Hina's score is not the lowest.
- The person from Hyderabad has an ID greater than 304.
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