Ke Huy Quan recently won an Oscar for best supporting actor for the movie Everything Everywhere All at Once. His acting career started in the 80s with which movie?

17.03 Quiz

Quiz
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Fun
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Professional Development
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Hard
Martin Øvsttun
Used 3+ times
FREE Resource
8 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Indiana Jones and the Temple of Doom
Star Wars: Episode V - The Empire Strikes Back
The Goonies
Back to the Future Part II
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
The term ... was used to refer to a medieval or Renaissance toilet, and is still commonly used today. Which word is it?
Trench
Crock pot
Toilet
Wardrobe
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What programming language is Minecraft written in?
Python
Java
JavaScript
C++
4.
MULTIPLE SELECT QUESTION
45 sec • 1 pt
Speaking generically of Java, sorting a list in Java can be done using Collections.sort(), which has the following type signature:
static <T extends Comparable<? super T>> void sort(List<T> list)
Which statement(s) are correct?
If a class that extends T is comparable with itself, list can be sorted
If T is comparable with itself, list can be sorted
If List extends Comparable, list can be sorted
If T extends a class that is comparable with itself, list can be sorted
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Sir Christopher Lee is widely known for his acting, especially for his roles as Saruman from Lord of the Rings and Count Dooku from Star Wars. What has he also done in his career?
Metal singer
Jazz dancer
Fantasy writer
Landscape painter
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
On Tuesday, an American drone was hit by a Russian fighter jet. Which type of plane was it?
Su-34
F-15C
Su-27
F-35A
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
You may have heard of a "murder of crows", but what is a collective noun for a group of ravens?
A confusion of ravens
A commotion of ravens
A conspiracy of ravens
A chattering of ravens
8.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
If a machine learning model is overfitting, according to the bias-variance tradeoff, it has:
Low bias
Low variance
Low bias
High variance
High bias
Low variance
High bias
High variance
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