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Database-style Records: ID/City/Score: Worksheet 10 - Expert Practice Database-style Records: ID/City/Score EXPERT

Ready to master Database-style Records: ID/City/Score? This accuracy focus 👑 worksheet (10/10) presents 20 expert-level challenges. Focus area: application-based learning. Learn to solve database-style records: id/city/score reasoning tricks, handle fast database-style records: id/city/score solving, and perfect database-style records: id/city/score mastery with our step-by-step solutions.

📝 Worksheet 10 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 10 of 10 (100% 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 233 has a higher score than the record from Bengaluru. - Mira's score is not the lowest. - The person from Delhi has an ID greater than 233. 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
--- | --- | --- | ---
430 | Uma | Mumbai | 76
781 | Priya | Bengaluru | 83
454 | Mira | Chennai | 89
784 | Hina | Delhi | 73
233 | Kaira | Hyderabad | 96
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 233 has a higher score than the record from Bengaluru.
- Mira's score is not the lowest.
- The person from Delhi has an ID greater than 233.

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 533 has a higher score than the record from Delhi. - Qadir's score is not the lowest. - The person from Mumbai has an ID greater than 533. 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 | Bengaluru | 90
931 | Aarav | Delhi | 84
699 | Qadir | Hyderabad | 80
875 | Mira | Mumbai | 77
533 | Omar | Chennai | 91
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 533 has a higher score than the record from Delhi.
- Qadir's score is not the lowest.
- The person from Mumbai has an ID greater than 533.

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 899 has a higher score than the record from Hyderabad. - Yash's score is not the lowest. - The person from Bengaluru has an ID greater than 352. 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
--- | --- | --- | ---
899 | Vihaan | Delhi | 99
510 | Ira | Hyderabad | 87
955 | Yash | Chennai | 72
473 | Gaurav | Bengaluru | 71
352 | Mira | Mumbai | 82
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 899 has a higher score than the record from Hyderabad.
- Yash's score is not the lowest.
- The person from Bengaluru has an ID greater than 352.

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 684 has a higher score than the record from Bengaluru. - Qadir's score is not the lowest. - The person from Chennai has an ID greater than 829. 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
--- | --- | --- | ---
565 | Sahil | Mumbai | 91
684 | Jatin | Bengaluru | 99
438 | Qadir | Delhi | 93
190 | Omar | Chennai | 98
829 | Priya | Hyderabad | 97
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 684 has a higher score than the record from Bengaluru.
- Qadir's score is not the lowest.
- The person from Chennai has an ID greater than 829.

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 852 has a higher score than the record from Hyderabad. - Priya's score is not the lowest. - The person from Chennai has an ID greater than 287. 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
--- | --- | --- | ---
136 | Omar | Mumbai | 78
940 | Wafa | Hyderabad | 75
852 | Priya | Delhi | 92
714 | Laksh | Chennai | 89
287 | Eshan | Bengaluru | 82
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 852 has a higher score than the record from Hyderabad.
- Priya's score is not the lowest.
- The person from Chennai has an ID greater than 287.

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 871 has a higher score than the record from Delhi. - Wafa's score is not the lowest. - The person from Hyderabad has an ID greater than 230. 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
--- | --- | --- | ---
929 | Cyrus | Mumbai | 81
191 | Hina | Delhi | 82
871 | Wafa | Chennai | 95
326 | Omar | Hyderabad | 94
230 | Priya | Bengaluru | 79
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 871 has a higher score than the record from Delhi.
- Wafa's score is not the lowest.
- The person from Hyderabad has an ID greater than 230.

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 977 has a higher score than the record from Chennai. - Vihaan's score is not the lowest. - The person from Mumbai 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
--- | --- | --- | ---
407 | Priya | Hyderabad | 72
760 | Kaira | Chennai | 75
899 | Vihaan | Bengaluru | 71
744 | Sahil | Mumbai | 82
977 | Aarav | Delhi | 84
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 977 has a higher score than the record from Chennai.
- Vihaan's score is not the lowest.
- The person from Mumbai 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 414 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 210. 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 | Mira | Chennai | 79
629 | Priya | Bengaluru | 82
414 | Kaira | Hyderabad | 96
412 | Hina | Mumbai | 70
210 | Rhea | Delhi | 75
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 Bengaluru.
- Kaira's score is not the lowest.
- The person from Mumbai has an ID greater than 210.

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 707 has a higher score than the record from Mumbai. - Eshan's score is not the lowest. - The person from Hyderabad has an ID greater than 500. 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
--- | --- | --- | ---
799 | Bhavya | Bengaluru | 97
978 | Wafa | Mumbai | 90
707 | Eshan | Delhi | 98
826 | Uma | Hyderabad | 70
500 | Rhea | Chennai | 72
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 707 has a higher score than the record from Mumbai.
- Eshan's score is not the lowest.
- The person from Hyderabad has an ID greater than 500.

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 642 has a higher score than the record from Chennai. - Vihaan's score is not the lowest. - The person from Bengaluru has an ID greater than 612. 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
--- | --- | --- | ---
642 | Aarav | Hyderabad | 95
764 | Sahil | Chennai | 76
630 | Vihaan | Mumbai | 87
808 | Omar | Bengaluru | 92
612 | Mira | Delhi | 88
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 Chennai.
- Vihaan's score is not the lowest.
- The person from Bengaluru has an ID greater than 612.

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 391 has a higher score than the record from Mumbai. - Rhea's score is not the lowest. - The person from Delhi has an ID greater than 486. 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
--- | --- | --- | ---
888 | Nihal | Hyderabad | 84
511 | Zoya | Mumbai | 81
391 | Rhea | Chennai | 88
222 | Omar | Delhi | 73
486 | Mira | Bengaluru | 86
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 391 has a higher score than the record from Mumbai.
- Rhea's score is not the lowest.
- The person from Delhi has an ID greater than 486.

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 452 has a higher score than the record from Mumbai. - Laksh's score is not the lowest. - The person from Hyderabad has an ID greater than 452. 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
--- | --- | --- | ---
102 | Tara | Delhi | 72
979 | Yash | Mumbai | 79
855 | Laksh | Chennai | 73
770 | Hina | Hyderabad | 85
452 | Diya | Bengaluru | 97
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 452 has a higher score than the record from Mumbai.
- Laksh's score is not the lowest.
- The person from Hyderabad has an ID greater than 452.

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 819 has a higher score than the record from Mumbai. - Kaira's score is not the lowest. - The person from Bengaluru has an ID greater than 245. 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
--- | --- | --- | ---
832 | Omar | Delhi | 89
927 | Qadir | Mumbai | 82
528 | Kaira | Chennai | 78
819 | Aarav | Bengaluru | 97
245 | Wafa | Hyderabad | 80
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 Mumbai.
- Kaira's score is not the lowest.
- The person from Bengaluru has an ID greater than 245.

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 106 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 191. 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
--- | --- | --- | ---
359 | Uma | Mumbai | 78
106 | Nihal | Chennai | 99
936 | Omar | Bengaluru | 82
881 | Mira | Hyderabad | 70
191 | Diya | Delhi | 89
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 Chennai.
- Omar's score is not the lowest.
- The person from Hyderabad has an ID greater than 191.

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 653 has a higher score than the record from Mumbai. - Rhea'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
--- | --- | --- | ---
561 | Priya | Bengaluru | 89
272 | Hina | Mumbai | 71
196 | Rhea | Chennai | 93
653 | Kaira | Hyderabad | 95
442 | Uma | Delhi | 84
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 653 has a higher score than the record from Mumbai.
- Rhea's score is not the lowest.
- The person from Hyderabad has an ID greater than 442.

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 839 has a higher score than the record from Delhi. - Priya's score is not the lowest. - The person from Hyderabad has an ID greater than 769. 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 | Tara | Bengaluru | 86
442 | Ira | Delhi | 90
431 | Priya | Chennai | 97
839 | Qadir | Hyderabad | 98
769 | Kaira | Mumbai | 95
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 839 has a higher score than the record from Delhi.
- Priya's score is not the lowest.
- The person from Hyderabad has an ID greater than 769.

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 642 has a higher score than the record from Hyderabad. - Fatima's score is not the lowest. - The person from Bengaluru 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
--- | --- | --- | ---
822 | Bhavya | Mumbai | 74
126 | Zoya | Hyderabad | 84
781 | Fatima | Delhi | 78
876 | Sahil | Bengaluru | 87
642 | Rhea | Chennai | 89
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.
- Fatima's score is not the lowest.
- The person from Bengaluru has an ID greater than 642.

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 202 has a higher score than the record from Chennai. - Rhea's score is not the lowest. - The person from Hyderabad has an ID greater than 597. 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
--- | --- | --- | ---
202 | Diya | Mumbai | 99
191 | Kaira | Chennai | 75
372 | Rhea | Bengaluru | 81
463 | Gaurav | Hyderabad | 70
597 | Xavier | Delhi | 98
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 202 has a higher score than the record from Chennai.
- Rhea's score is not the lowest.
- The person from Hyderabad has an ID greater than 597.

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 156 has a higher score than the record from Mumbai. - Nihal's score is not the lowest. - The person from Delhi has an ID greater than 415. 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
--- | --- | --- | ---
982 | Gaurav | Bengaluru | 73
380 | Mira | Mumbai | 85
156 | Nihal | Chennai | 98
667 | Yash | Delhi | 79
415 | Diya | Hyderabad | 75
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 156 has a higher score than the record from Mumbai.
- Nihal's score is not the lowest.
- The person from Delhi has an ID greater than 415.

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 333 has a higher score than the record from Chennai. - Ira'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
--- | --- | --- | ---
306 | Rhea | Delhi | 82
947 | Yash | Chennai | 86
472 | Ira | Hyderabad | 91
333 | Laksh | Bengaluru | 98
788 | Xavier | Mumbai | 75
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 333 has a higher score than the record from Chennai.
- Ira's score is not the lowest.
- The person from Bengaluru has an ID greater than 788.
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