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Season 1 #Spaic ML Azure Weekly Quiz

Total questions: 20

Worksheet time: 12mins

Name
Class
Date
1.

Machine learning

a)

Is a data science technique.

b)

Takes Rules and data as input.

c)

Is a subcategory of deep learning.

d)

Used to extract insight from data.

2.

Do we need to retrain the model , when the input data change?

a)

Yes

b)

No

3.

What is the common type of data in ML ?

a)

Numeric data

b)

Time-series data

c)

Categorical data

d)

Text data

e)

Image date

4.

What is the technique used to process numerical data for Machine learning algorithm?

a)

Standardization

b)

One hot encoding

c)

Normalization

d)

Ordinal encoding

5.

The following formula is associated to which ML perspective : Output=Program (input)

a)

Computer science

b)

Statistical

6.

Jupyter Notebook is :

a)

Libraries

b)

Development environments

c)

Cloud service

7.

What is the different category of ML algorithm

a)

Parametric algorithm

b)

Regression

c)

Classification

d)

Non-Parametric algorithm

8.

Bias : measure how the prediction is inaccurate in comparison with the output

a)

True

b)

False

9.

Variance : measure how the target function will change if we use different parameter

a)

True

b)

False

10.

The optimal model complexity is where bias error crosses with the variance error

a)

True

b)

False

11.

What are the data management tools used in Azure ML ?

a)

Datastores

b)

Image

c)

Text

d)

Datasets

12.

Datasets store a copy of the data

a)

True

b)

False

13.

What is the type of datasets supported in Azure ML ?

a)

Tabular datasets

b)

Web url file

c)

Image file

d)

Text file

14.

Data drift is caused by

a)

Change in the data source

b)

Change in the model

c)

Data quality issues

d)

Natural causes

15.

Dataset monitor are used to detect issues in the data. (such as Data Drift )

a)

True

b)

False

16.

In Azure ML Datasets versions feature is used in scenario such us:

a)

Change in the data structure

b)

Change in date itself

c)

Change in the model

d)

Change of the compute target

17.

What is the right order for the data wrangling process?

a)

Gather, Access, Clean

b)

Access, Gather, Clean

c)

Clean, Gather, Access

18.

Which of the below are true statements regarding the correlation coefficient?

a)

The correlation coefficient can be any value.

b)

A smaller correlation coefficient means a weaker relationship between two variables.

c)

The correlation coefficient (specifically Pearson's correlation) is for measuring linear relationships.

19.

What is the most common plot to show correlation between variables?

a)

Line Chart

b)

Bar Chart

c)

Tree Map

d)

Scatter Chart

20.

Algorithm=Model(Data)

a)

True

b)

False