A decision tree includes decisions where the tree splits into two branches. What program structure matches this part of a decision tree?
Programming Concepts Quiz

Quiz
•
Computers
•
9th Grade
•
Hard
abror hasanov
Used 1+ times
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46 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Loop
Sequence
Selection (Conditional)
Iteration
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Supposing a scientist sent a signal with the symbol # in it. Would the decision tree classify this as a good or bad signal?
Good signal
Bad signal
Neutral signal
Undefined
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following best describes why a program might include a loop?
To make a single decision.
To repeat a set of instructions multiple times.
To display a message once.
To store a single value.
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the primary purpose of the "append" command in a programming context?
To remove an item from a list.
To add an item to the end of a list.
To sort the items in a list.
To replace an item in a list.
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does machine learning mean?
A programming technique that requires explicit instructions for every task.
A field of computer science that enables computers to learn from data without explicit programming.
A method for manually organizing large datasets.
A software application that performs repetitive calculations.
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
State one advantage to Taz of using machine learning to spot bad signals.
Increased manual labor for signal analysis.
Faster and more automated identification of bad signals.
Reduced data storage capacity.
Elimination of all signal data.
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In both supervised and unsupervised training, the computer gets lots of data. What is the difference between the two?
Supervised learning uses labeled data, while unsupervised learning uses unlabeled data.
Unsupervised learning requires human intervention, while supervised learning does not.
Supervised learning focuses on classification, while unsupervised learning focuses on regression.
There is no significant difference between the two.
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