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Worksheets

L1_W14_ROUND2

Total questions: 18

Worksheet time: 6mins

Name
Class
Date
1.

How do humans acquire new knowledge and behaviors?

a)

By avoiding experiences

b)

Through formal education only

c)

Through experiences, observations, and guidance

d)

By relying solely on intuition

2.

What is the focus of Machine Learning?

a)

Manual data entry.

b)

Building systems to predict and decide based on learned data

c)

Creating complex algorithms.

d)

Building hardware components

3.

What do we do after collecting and analyzing information

a)

Ignore the information

b)

Make decisions and convey emotions

c)

Repeat the process

d)

Stop analyzing

4.

What types of information can be collected for Machine Learning?

a)

Only pictures and words

b)

Only numbers and facts

c)

Anything from pictures and words to numbers and facts

d)

Only text-based information

5.

Put the following steps in the machine learning process in the correct sequence

a)

Data collection, Model Training, Model Test, Deployment

b)

Data collection, Model Test, Deployment, Model Training

c)

Data collection, Model Test, Model Training, Deployment

d)

Deployment, Data collection, Model Test, Model Training

6.

Which of the following statements about Teachable Machine is true

a)

It requires advanced programming skills to use.

b)

It simplifies the process of creating custom models without complex coding.

c)

It is only available as a desktop application

d)

It is developed by Microsoft.

7.

What is the role of the "Model" in Machine Learning?

a)

Providing data

b)

Analyzing data

c)

Training the machine

d)

Taking actions

8.

How does the Machine Learning Model improve its ability to make predictions?

a)

By ignoring new data

b)

By repeating the same actions

c)

By learning from new data

d)

By avoiding data analysis

9.

What type of information does the "Outputs" stage provide in Machine Learning?

a)

Training data

b)

Analytical algorithms

c)

Unrelated data   

d)

Results based on learning

10.

What is the significance of the deployment step in the Machine Learning process?

a)

It marks the end of the Machine Learning process

b)

It allows the model to be utilized and make predictions on new data

c)

It involves retraining the model with updated data

d)

It is an optional step and not essential for a functioning model

11.

What is the primary purpose of the Machine Learning extension in PictoBlox?

a)

Enhancing traditional programming concepts

b)

Simplifying the introduction of advanced programming skills

c)

Integrating Machine Learning concepts into projects

d)

Focusing on image classification only

12.

What is the goal of Model Deployment?

a)

To increase the training dataset.

b)

To monitor the model during training.

c)

To ensure the model solves the problem effectively and provides valuable insights.

d)

Obtaining data

13.

What is the role of the "Forever" block in PictoBlox when working with Machine Learning?

a)

It changes backdrops continuously

b)

It ensures the program runs indefinitely

c)

It controls sound playback

d)

It identifies the class from the backdrop

14.

To categorize emails to Spam and not Spam it is Classification Problem?

a)

True

b)

False

15.

This Block is used to let the Machine Learning model

a)

Identify inputs from camera

b)

Add new images to current class

c)

Capture images with webcam

d)

Identify images in the stage

16.

This Block is used in the machine learning model to..

a)

Classify captured images of cats

b)

Determine if the image in the backdrop is for a cat

c)

Add a cat image to the backdrop

d)

Tell the machine the image in the backdrop is for cat

17.

What is the Error in this Code for Classifying Images

a)

b)

c)

18.

What is the Missing Block?

a)

b)

c)