
DP-100 Test
Authored by Pedro Cañedo
Science
University
Used 14+ times

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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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