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DP-100 Test

Authored by Pedro Cañedo

Science

University

Used 14+ times

DP-100 Test
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21 questions

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1.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

Which are the three elements present in the config file to connect to your Azure ML workspace?

Workspace name , Subscription name, Location

Resource Group, Workspace Name, Tenant Id

Subscription Id, Resource Group, Workspace Name

Subscription Id, Client Id, Tier

2.

MULTIPLE SELECT QUESTION

45 sec • 1 pt

Which sentence defines the concept of Machine Learning ?

Check all that apply

Scientific study of big data

Building a mathematical model based on data

It focuses on making predictions using computers

It is a branch of Artificial Inteligence

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the statements define the Feature Engineering concept

Create new features so ML model predicts the values more accurately

Transforming raw data into a useful dataset

Formulate appropriate features given the data, the model and the task

All of the above

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which ML Model should you use to predict the price of a house?

Regression Algorithm

Classification Algorithm

Neural Network Algorithm

Forecasting Algorithm

5.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

These are three common types of classification algorithms

SVM, K-means, Clustering algorithm

CNN, RNN, Deep Neural Network

Poison Regression, Linear Regression, Naive-bayes

Logistic Regression, Random Forest, Decision Tree

6.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

Precision, accuracy and AUC are metrics of what kind of Models ?

Clustering

Forecasting

Classification

Regression

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

If the r-square metric value is close to '0', can we say our prediction model is good?

True

False

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