IBC Quiz #173
Winners of the previous Quiz
03/10/2025

L Kushil Prasad
Class 5
St Michel's English School, Kanakapura

Dhruv Anoop Menon
Class 7
Sishu Griha Senior School

Lakshmi
Class 9
Sri Vasavi Vidya samsthe sira

Ram
Class 9
Shri chaitanya

Sai Rahul
Class 9
Vidya Jyothi school

Rohan gowda M.R
Class 9
Mother Teresa international school 🏫

Parikshith.j
Class 9
Ksvk international school

Devraj
Class 8
New age high School

Vamshi Krishna
Class 9
Dolphins Delhi Public school
Santhosh
Class 9
Preethi Public school
Note: Quiz prizes will be awarded to ten randomly selected students who submit correct answers before the deadline. Winners will be declared on the website and the weekly newsletter.

October 03, 2025
Q1.
A Data Analyst at a children’s film company is asked to identify Comedy and Animation movies released between 2001 and 2015 that were popular and had a moderate budget. All movie details including genre, year, score, votes, and budget are stored in the ChildrenMovies table. SQL (Structured Query Language) is used to filter these movies using multiple conditions.
SQL Quick Rules
Keyword |
Meaning |
Example |
SELECT |
Choose which column(s) you want to see |
SELECT title |
FROM |
Choose which table to get the data from |
FROM Movies |
WHERE |
Add a condition to filter results |
WHERE rental_rate < 4.0 |
AND |
Combine two conditions (both must be true) |
release_year = 2020 AND rental_rate < 4.0 |
OR |
Combine two conditions (any one true is enough) |
release_year = 2020 OR rental_rate < 4.0 |
BETWEEN |
Filter values within a rrange (inclusive) |
WHERE release_year BETWEEN 1980 AND 1989 |
IS NOT NULL |
Ensures the column has a value (not empty) |
WHERE budget IS NOT NULL |
NOT IN |
Exclude multiple values from a column |
WHERE genre NOT IN ('Action','Comedy','Horror') |
Operator |
Meaning |
Example |
Result |
= |
Equal to |
score = 8.5 |
True if score is exactly 8.5 |
<> |
Not equal to (standard) |
country <> 'United States' |
True if country is anything except United States |
!= |
Not equal to (alternative, works in MySQL, etc.) |
score != 7 |
True if score is not 7 |
> |
Greater than |
votes > 50000 |
True if votes are more than 50,000 |
< |
Less than |
year < 1990 |
True if year is before 1990 |
>= |
Greater than or equal to |
score >= 7.5 |
True if score is 7.5 or higher |
<= |
Less than or equal to |
budget <= 20000000 |
True if budget is 20 million or less |
Question:
The manager wants to identify popular and moderately budgeted movies released between 2001 and 2015, specifically in the genres Comedy or Animation, while excluding Family and Musical movies.
You are given the SQL code below:
SELECT Name, Rating, Genre, Year, Score, Votes
FROM ChildrenMovies
WHERE
((Genre = 'Comedy' AND Votes > 500000 )OR (Genre = 'Animation' AND Score >= 7.5))
AND Year BETWEEN 2001 AND 2015
AND Budget <= 150000000
AND Genre NOT IN ('Family', 'Musical');
Question:
The manager wants to identify popular and moderately budgeted movies released between 2001 and 2015, specifically in the genres Comedy or Animation, while excluding Family and Musical movies.
You are given the SQL code below:
SELECT Name, Rating, Genre, Year, Score, Votes
FROM ChildrenMovies
WHERE
((Genre = 'Comedy' AND Votes > 500000 )OR (Genre = 'Animation' AND Score >= 7.5))
AND Year BETWEEN 2001 AND 2015
AND Budget <= 150000000
AND Genre NOT IN ('Family', 'Musical');
Children Movies
S.No |
Name |
Rating |
Genre |
Year |
Score |
Votes |
Director |
Writer |
Country |
Budget ($) |
1 |
Toy Story |
G |
Animation |
1995 |
8.3 |
950000 |
John Lasseter |
Joss Whedon |
United States |
30,000,000 |
2 |
Finding Nemo |
G |
Animation |
2003 |
8.1 |
1050000 |
Andrew Stanton |
Andrew Stanton |
United States |
94,000,000 |
3 |
The Lion King |
G |
Musical |
1994 |
8.5 |
1100000 |
Roger Allers |
Irene Mecchi |
United States |
45,000,000 |
4 |
Frozen |
PG |
Musical |
2013 |
7.4 |
650000 |
Chris Buck |
Jennifer Lee |
United States |
150,000,000 |
5 |
Shrek |
PG |
Comedy |
2001 |
7.9 |
690000 |
Andrew Adamson |
Ted Elliott |
United States |
60,000,000 |
6 |
Moana |
PG |
Adventure |
2016 |
7.6 |
400000 |
Ron Clements |
Jared Bush |
United States |
150,000,000 |
7 |
The Incredibles |
PG |
Action |
2004 |
8.0 |
780000 |
Brad Bird |
Brad Bird |
United States |
92,000,000 |
8 |
Inside Out |
PG |
Animation |
2015 |
8.1 |
710000 |
Pete Docter |
Meg LeFauve |
United States |
175,000,000 |
9 |
Kung Fu Panda |
PG |
Action |
2008 |
7.6 |
490000 |
Mark Osborne |
Jonathan Aibel |
United States |
130,000,000 |
10 |
Coco |
PG |
Musical |
2017 |
8.4 |
610000 |
Lee Unkrich |
Adrian Molina |
United States |
175,000,000 |
11 |
Cars |
G |
Comedy |
2006 |
7.1 |
440000 |
John Lasseter |
Dan Fogelman |
United States |
120,000,000 |
12 |
Despicable Me |
PG |
Comedy |
2010 |
7.6 |
520000 |
Pierre Coffin |
Cinco Paul |
United States |
69,000,000 |





Q2.
A Data Analyst at a film production company is asked to find out which movies were popular between 2006 and 2012. Management wants to understand how these movies performed in terms of audience reception and popularity.
All details, such as title, genre, year, ratings, votes, and budget, are stored in a database table called Movies. SQL (Structured Query Language) will be used to query the database.
A Data Analyst at a film production company is asked to find out which movies were popular between 2006 and 2012. Management wants to understand how these movies performed in terms of audience reception and popularity.
All details, such as title, genre, year, ratings, votes, and budget, are stored in a database table called Movies. SQL (Structured Query Language) will be used to query the database.
SQL Quick Rules
Keyword |
Meaning |
Example |
SELECT |
Choose which column(s) you want to see |
SELECT title |
FROM |
Choose which table to get the data from |
FROM Movies |
WHERE |
Add a condition to filter results |
WHERE rental_rate < 4.0 |
AND |
Combine two conditions (both must be true) |
release_year = 2020 AND rental_rate < 4.0 |
OR |
Combine two conditions (any one true is enough) |
release_year = 2020 OR rental_rate < 4.0 |
BETWEEN |
Filter values within a range (inclusive) |
WHERE release_year BETWEEN 1980 AND 1989 |
IS NOT NULL |
Ensures the column has a value (not empty) |
WHERE budget IS NOT NULL
|
Operator
Meaning
Example
Result
=
Equal to
score = 8.5
True if score is exactly 8.5
<>
Not equal to (standard)
country <> 'United States'
True if country is anything except United States
!=
Not equal to (alternative, works in MySQL, etc.)
score != 7
True if score is not 7
>
Greater than
votes > 50000
True if votes are more than 50,000
<
Less than
year < 1990
True if year is before 1990
>=
Greater than or equal to
score >= 7.5
True if score is 7.5 or higher
<=
Less than or equal to
budget <= 20000000
True if budget is 20 million or less
Operator |
Meaning |
Example |
Result |
= |
Equal to |
score = 8.5 |
True if score is exactly 8.5 |
<> |
Not equal to (standard) |
country <> 'United States' |
True if country is anything except United States |
!= |
Not equal to (alternative, works in MySQL, etc.) |
score != 7 |
True if score is not 7 |
> |
Greater than |
votes > 50000 |
True if votes are more than 50,000 |
< |
Less than |
year < 1990 |
True if year is before 1990 |
>= |
Greater than or equal to |
score >= 7.5 |
True if score is 7.5 or higher |
<= |
Less than or equal to |
budget <= 20000000 |
True if budget is 20 million or less |
Question:
The manager wants to know which movies were popular between 2006 and 2012 in the genres Comedy, Family, or Musical.
You are given the following SQL code:
SELECT Name, Rating, Genre, Year, Score, Votes
FROM ChildrenMovies
WHERE (Genre = 'Comedy' OR Genre = 'Family' OR Genre = 'Musical')
AND Year BETWEEN 2006 AND 2012
AND Votes > 450000;
Your task: Examine the table to determine which movies this query will return..
ChildrenMovies
Question:
The manager wants to know which movies were popular between 2006 and 2012 in the genres Comedy, Family, or Musical.
You are given the following SQL code:
SELECT Name, Rating, Genre, Year, Score, Votes
FROM ChildrenMovies
WHERE (Genre = 'Comedy' OR Genre = 'Family' OR Genre = 'Musical')
AND Year BETWEEN 2006 AND 2012
AND Votes > 450000;
Your task: Examine the table to determine which movies this query will return..
ChildrenMovies
S.No |
Name |
Rating |
Genre |
Year |
Score |
Votes |
Director |
Writer |
Country |
Budget ($) |
1 |
Toy Story |
G |
Animation |
1995 |
8.3 |
950000 |
John Lasseter |
Joss Whedon |
United States |
30,000,000 |
2 |
Finding Nemo |
G |
Animation |
2003 |
8.1 |
1050000 |
Andrew Stanton |
Andrew Stanton |
United States |
94,000,000 |
3 |
The Lion King |
G |
Musical |
1994 |
8.5 |
1100000 |
Roger Allers |
Irene Mecchi |
United States |
45,000,000 |
4 |
Frozen |
PG |
Musical |
2013 |
7.4 |
650000 |
Chris Buck |
Jennifer Lee |
United States |
150,000,000 |
5 |
Shrek |
PG |
Comedy |
2001 |
7.9 |
690000 |
Andrew Adamson |
Ted Elliott |
United States |
60,000,000 |
6 |
Coco |
PG |
Musical |
2017 |
8.4 |
610000 |
Lee Unkrich |
Adrian Molina |
United States |
175,000,000 |
7 |
The Incredibles |
PG |
Action |
2004 |
8.0 |
780000 |
Brad Bird |
Brad Bird |
United States |
92,000,000 |
8 |
Inside Out |
PG |
Animation |
2015 |
8.1 |
710000 |
Pete Docter |
Meg LeFauve |
United States |
175,000,000 |
9 |
Kung Fu Panda |
PG |
Action |
2008 |
7.6 |
490000 |
Mark Osborne |
Jonathan Aibel |
United States |
130,000,000 |
10 |
Cars |
G |
Comedy |
2006 |
7.1 |
440000 |
John Lasseter |
Dan Fogelman |
United States |
120,000,000 |
11 |
Despicable Me |
PG |
Comedy |
2010 |
7.6 |
520000 |
Pierre Coffin |
Cinco Paul |
United States |
69,000,000 |
12 |
Ratatouille |
G |
Family |
2007 |
8.0 |
750000 |
Brad Bird |
Jan Pinkava |
United States |
150,000,000 |





September 26, 2025
Q1.
A disaster relief team must air-drop 12 kg of urgent medical supplies to a hospital in a mountain village located 5 km away (outbound) across a flooded valley at an altitude of 3000 m. With all roads blocked by flooding, drones are the only viable method for delivering the medicines.
Two drones are assigned to share the mission
Drone X : Lithium-ion battery powered
- Baseline (sea-level, test conditions): can carry 2 kg payload with 55 minutes of flight time at a cruise speed of 30 km/h.
- High-altitude adjustment (3,000 m): loses 25% of flight time.
- Payload adjustment: for every +1 kg beyond baseline, flight time reduces by 15%.
- Swap/charge option: battery swap 5 minutes (instant swap) or full recharge (not used here).
Drone Y: Hydrogen Fuel-cell Powered
- Baseline (sea-level, test conditions): can carry 2 kg payload with 65 minutes of flight time at a cruise speed of 35 km/h.
- High-altitude adjustment (3,000 m): loses 10% of flight time.
- Payload adjustment: for every +1 kg beyond baseline, flight time reduces by 10%.
- Refuel options: 10 minutes (tank swap) or 25 minutes (tank refill)
- Extra system mass: carries +0.5 kg system weight for fuel-cell cooling (counts in payload penalty).
Mission Requirement:
· Deliver a total of 12 kg medicines.
· The drones must split the load and complete two trips each.
· Outbound leg (with payload): apply payload penalty
· Return leg (empty): no payload penalty
· A drone can only depart if its effective flight time ≥ trip time.
· A low-battery alert triggers if a drone cannot complete the round trip with remaining endurance; if so, a swap/refuel must occur at base before the next trip.
· Loading/unloading is instantaneous.
Hint for Calculation:
· Effective flight time (minutes) = Base flight time − (altitude penalty + payload penalty)
· Trip time (minutes) = (Round trip distance(km) ÷ cruise speed(km/h))× 60
Once the mission is complete: Which drone delivers its medicines first, and what is the total time required for that drone to finish both trips?





Q2.
A disaster relief team must air-drop 28 kg of urgent medical supplies to a hospital in a remote mountain village. With all roads completely blocked by floods, drones are the only way to safely cover the 15 km round-trip journey (outbound + return).
Two drones are assigned to share the mission. Baseline (Sea Level, Test Condition):
Drone X: Lithium-ion Battery Powered
· Can carry 3 kg payload with 40 minutes of flight time at a cruise speed of 30 km/h
· Battery replacement: 2 minutes
Drone Y: Hydrogen Fuel-cell Powered
· Can carry 4 kg payload with 60 minutes of flight time at a cruise speed of 35 km/h
· Refuel (tank swap): 10 minutes
Payload Adjustment Rule:
· Drone X: Flight time reduces by 8 minutes for every additional 1 kg payload
· Drone Y: Flight time reduces by 5 minutes for every additional 1 kg payload
Mission Rules:
· Total medicines to deliver: 28 kg
· Each drone carries 4 kg per trip
· A drone can only depart if its effective flight time ≥ trip time.
· If effective flight time is less than the round-trip time → replace/refuel before flying again.
· Loading/unloading is instant.
Hint for Calculation:
· Effective flight time (minutes) = Base flight time − Payload penalty
· Trip time (minutes) = (Round trip distance(km) ÷ Cruise speed(km/h))× 60
Once the mission is complete:
Which drone can deliver more medicines safely with less effective flight time (including replace/refuel times), and how much total weight (kg) of medicines will that drone deliver?




