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Database-style Records: ID/City/Score - Intermediate Level: tricky scenarios handling Database-style Records: ID/City/Score INTERMEDIATE

This expert challenge 📈 worksheet focuses on Database-style Records: ID/City/Score - a key topic in Data Arrangement. You'll solve 20 intermediate-level problems (Worksheet 5 of 10). The primary focus is on tricky scenarios handling. Master how to solve database-style records: id/city/score, database-style records: id/city/score tricks, and database-style records: id/city/score shortcut methods through systematic practice.

📝 Worksheet 5 of 10 • 20 questions • ⏱️ Estimated time: 20 minutes • 🎯 Intermediate level

What you'll learn in this worksheet:
Your progress through Database-style Records: ID/City/Score
Worksheet 5 of 10 (44% 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 767 has a higher score than the record from Hyderabad. - Kaira's score is not the lowest. - The person from Bengaluru has an ID greater than 302. 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
--- | --- | --- | ---
344 | Xavier | Delhi | 78
800 | Tara | Hyderabad | 81
767 | Kaira | Mumbai | 89
357 | Bhavya | Bengaluru | 79
302 | Wafa | Chennai | 70
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 767 has a higher score than the record from Hyderabad.
- Kaira's score is not the lowest.
- The person from Bengaluru has an ID greater than 302.

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 787 has a higher score than the record from Delhi. - Aarav's score is not the lowest. - The person from Mumbai has an ID greater than 579. 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
--- | --- | --- | ---
415 | Vihaan | Hyderabad | 88
286 | Priya | Delhi | 86
787 | Aarav | Chennai | 96
412 | Kaira | Mumbai | 71
579 | Gaurav | Bengaluru | 85
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 787 has a higher score than the record from Delhi.
- Aarav's score is not the lowest.
- The person from Mumbai has an ID greater than 579.

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 563 has a higher score than the record from Mumbai. - Aarav's score is not the lowest. - The person from Hyderabad has an ID greater than 543. 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
--- | --- | --- | ---
563 | Laksh | Chennai | 97
444 | Omar | Mumbai | 92
536 | Aarav | Delhi | 80
676 | Wafa | Hyderabad | 90
543 | Priya | Bengaluru | 88
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 563 has a higher score than the record from Mumbai.
- Aarav's score is not the lowest.
- The person from Hyderabad has an ID greater than 543.

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 685 has a higher score than the record from Mumbai. - Kaira's score is not the lowest. - The person from Hyderabad has an ID greater than 685. 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
--- | --- | --- | ---
283 | Nihal | Chennai | 91
388 | Eshan | Mumbai | 83
826 | Kaira | Delhi | 71
450 | Cyrus | Hyderabad | 95
685 | Mira | Bengaluru | 98
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 Mumbai.
- Kaira's score is not the lowest.
- The person from Hyderabad has an ID greater than 685.

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 197 has a higher score than the record from Delhi. - Tara's score is not the lowest. - The person from Chennai has an ID greater than 974. 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 | Nihal | Mumbai | 86
921 | Wafa | Delhi | 88
398 | Tara | Bengaluru | 81
197 | Diya | Chennai | 99
974 | Zoya | Hyderabad | 89
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 197 has a higher score than the record from Delhi.
- Tara's score is not the lowest.
- The person from Chennai has an ID greater than 974.

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 777 has a higher score than the record from Mumbai. - Diya's score is not the lowest. - The person from Bengaluru has an ID greater than 788. 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
--- | --- | --- | ---
544 | Cyrus | Chennai | 92
268 | Yash | Mumbai | 91
777 | Diya | Hyderabad | 95
596 | Vihaan | Bengaluru | 80
788 | Priya | Delhi | 93
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 777 has a higher score than the record from Mumbai.
- Diya's score is not the lowest.
- The person from Bengaluru has an ID greater than 788.

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 292 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 341. 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
--- | --- | --- | ---
822 | Mira | Chennai | 88
340 | Zoya | Bengaluru | 78
453 | Uma | Mumbai | 80
292 | Cyrus | Delhi | 96
341 | Wafa | Hyderabad | 74
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 292 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 341.

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 798 has a higher score than the record from Mumbai. - Wafa's score is not the lowest. - The person from Delhi 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
--- | --- | --- | ---
495 | Vihaan | Chennai | 91
798 | Mira | Mumbai | 95
550 | Wafa | Hyderabad | 72
553 | Xavier | Delhi | 70
910 | Cyrus | Bengaluru | 84
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 798 has a higher score than the record from Mumbai.
- Wafa's score is not the lowest.
- The person from Delhi has an ID greater than 910.

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 678 has a higher score than the record from Bengaluru. - Rhea's score is not the lowest. - The person from Delhi has an ID greater than 678. 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
--- | --- | --- | ---
299 | Nihal | Mumbai | 85
983 | Wafa | Bengaluru | 75
317 | Rhea | Chennai | 87
758 | Jatin | Delhi | 86
678 | Omar | Hyderabad | 98
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 678 has a higher score than the record from Bengaluru.
- Rhea's score is not the lowest.
- The person from Delhi has an ID greater than 678.

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 721 has a higher score than the record from Hyderabad. - Zoya's score is not the lowest. - The person from Mumbai has an ID greater than 363. 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
--- | --- | --- | ---
823 | Uma | Chennai | 74
358 | Wafa | Hyderabad | 88
721 | Zoya | Delhi | 95
994 | Qadir | Mumbai | 77
363 | Priya | Bengaluru | 87
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 721 has a higher score than the record from Hyderabad.
- Zoya's score is not the lowest.
- The person from Mumbai has an ID greater than 363.

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 873 has a higher score than the record from Delhi. - Eshan's score is not the lowest. - The person from Mumbai has an ID greater than 627. 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
--- | --- | --- | ---
983 | Bhavya | Bengaluru | 83
873 | Mira | Delhi | 93
745 | Eshan | Chennai | 92
419 | Laksh | Mumbai | 85
627 | Tara | Hyderabad | 91
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 873 has a higher score than the record from Delhi.
- Eshan's score is not the lowest.
- The person from Mumbai has an ID greater than 627.

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 513 has a higher score than the record from Chennai. - Rhea's score is not the lowest. - The person from Bengaluru has an ID greater than 571. 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
--- | --- | --- | ---
513 | Wafa | Delhi | 77
163 | Aarav | Chennai | 75
296 | Rhea | Mumbai | 71
880 | Mira | Bengaluru | 74
571 | Diya | Hyderabad | 70
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 513 has a higher score than the record from Chennai.
- Rhea's score is not the lowest.
- The person from Bengaluru has an ID greater than 571.

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 772 has a higher score than the record from Hyderabad. - Cyrus's score is not the lowest. - The person from Bengaluru 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
--- | --- | --- | ---
364 | Rhea | Mumbai | 73
603 | Eshan | Hyderabad | 70
763 | Cyrus | Delhi | 91
772 | Omar | Bengaluru | 94
554 | Tara | Chennai | 89
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 772 has a higher score than the record from Hyderabad.
- Cyrus's score is not the lowest.
- The person from Bengaluru has an ID greater than 554.

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 490 has a higher score than the record from Mumbai. - Yash's score is not the lowest. - The person from Chennai has an ID greater than 645. 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
--- | --- | --- | ---
947 | Diya | Bengaluru | 70
490 | Uma | Mumbai | 97
166 | Yash | Delhi | 77
622 | Omar | Chennai | 80
645 | Qadir | Hyderabad | 82
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 490 has a higher score than the record from Mumbai.
- Yash's score is not the lowest.
- The person from Chennai has an ID greater than 645.

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 634 has a higher score than the record from Mumbai. - Ira's score is not the lowest. - The person from Chennai has an ID greater than 951. 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
--- | --- | --- | ---
472 | Rhea | Hyderabad | 74
634 | Kaira | Mumbai | 94
122 | Ira | Bengaluru | 88
909 | Wafa | Chennai | 81
951 | Omar | Delhi | 75
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 634 has a higher score than the record from Mumbai.
- Ira's score is not the lowest.
- The person from Chennai has an ID greater than 951.

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 624 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 624. 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 | Fatima | Bengaluru | 78
105 | Priya | Mumbai | 91
813 | Ira | Chennai | 74
844 | Eshan | Delhi | 71
624 | Wafa | Hyderabad | 95
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 624 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 624.

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 608 has a higher score than the record from Hyderabad. - Diya's score is not the lowest. - The person from Delhi has an ID greater than 173. 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
--- | --- | --- | ---
514 | Cyrus | Bengaluru | 80
246 | Hina | Hyderabad | 86
608 | Diya | Chennai | 90
376 | Nihal | Delhi | 82
173 | Aarav | Mumbai | 83
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 608 has a higher score than the record from Hyderabad.
- Diya's score is not the lowest.
- The person from Delhi has an ID greater than 173.

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 390 has a higher score than the record from Chennai. - Vihaan's score is not the lowest. - The person from Hyderabad 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
--- | --- | --- | ---
812 | Kaira | Delhi | 91
662 | Jatin | Chennai | 82
390 | Vihaan | Mumbai | 96
906 | Mira | Hyderabad | 84
756 | Uma | Bengaluru | 73
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 390 has a higher score than the record from Chennai.
- Vihaan's score is not the lowest.
- The person from Hyderabad has an ID greater than 756.

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 411 has a higher score than the record from Mumbai. - Uma's score is not the lowest. - The person from Chennai 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
--- | --- | --- | ---
601 | Xavier | Bengaluru | 72
592 | Vihaan | Mumbai | 94
106 | Uma | Delhi | 84
411 | Fatima | Chennai | 95
261 | Gaurav | Hyderabad | 90
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 411 has a higher score than the record from Mumbai.
- Uma's score is not the lowest.
- The person from Chennai has an ID greater than 261.

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 607 has a higher score than the record from Chennai. - Hina's score is not the lowest. - The person from Mumbai has an ID greater than 772. 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
--- | --- | --- | ---
933 | Priya | Bengaluru | 70
607 | Qadir | Chennai | 92
858 | Hina | Hyderabad | 89
813 | Bhavya | Mumbai | 84
772 | Uma | Delhi | 91
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 607 has a higher score than the record from Chennai.
- Hina's score is not the lowest.
- The person from Mumbai has an ID greater than 772.
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