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WorksheetsAI900-04
Total questions: 40
Worksheet time: 20mins
Name
Class
Date
1.
Performance and Evaluation Metrics are used to evaluate what
a)
Machine Learning Algorithms
b)
AI Algorithims
c)
Test Data
d)
Training Data
2.
This is used to evaluate the final prediction of the machine learning model
a)
External Evaluation
b)
Internal Evaluation
3.
This is used to evaluate how the machine learning model works
a)
Internal Evaluation
b)
External Evaluation
4.
Jupyter notebooks are a web-based application for authoring documents that combine which
a)
live-code
b)
narrative text
c)
equations
d)
visualizations
e)
hyperbole
5.
Jupyter Notebooks use which programming language
a)
python
b)
C++
c)
Visual Basic
d)
Java
e)
Java Script
6.
__ is a process of finding a function to coorelate a labeled dataset into continuous variable/number to predict the future
a)
Regression
b)
Test Data
c)
Clustering
d)
Classification
7.
What is the outcome of a regression
a)
predict a variable in the future
b)
develop an algorithm
c)
process training data
d)
group data based on their similarities
8.
You have a graph with dots plotted on it. A staight line goes through the center of the dots. What does the line represent
a)
regression line
b)
vectors
c)
trend line
d)
classiciation line
9.
You have a graph with dots plotted on it. The disance of one vector from the regression line is called __
a)
Error
b)
trend line
c)
variables
d)
prediction
10.
The error in regression is represented by which of the following
a)
Mean Squared Error (MSE)
b)
Root mean squared error (RMSE)
c)
Mean absolute error (MAE)
d)
Trend Lines
11.
__ is a process of finding a function to divide a labeled dataset into classes/categories
a)
Classification
b)
Regression
c)
Clustering
d)
Training Data
12.
You have a graph with dots plotted on it. A curved line goes through the dots. WHat does the line represent
a)
classification line
b)
regression line
c)
vectors
d)
trend line
13.
Which of the following is a classification algorithm
a)
k-Nearest Neighbor
b)
Naive Bayes
c)
Neural Networks
d)
Decision Tree
e)
logistic regression
14.
__ is a process of grouping unlabeled data based on similarities and differences
a)
Clustering
b)
Regression
c)
Classification
d)
Training Data
15.
What is the outcome of Clustering
a)
group data based on their similarities
b)
predict a variable in the future
c)
develop an algorithm
d)
process training data
16.
You have a chart with dots plotted on it. You have circles representing groups of dots. What is this?
a)
Clustering
b)
Regression
c)
Classification
d)
Training Data
17.
Which is unsupervised learning?
a)
Clustering
b)
Regression
c)
Classification
d)
Training Data
18.
This compares model predictions against ground truth labels (actual)
a)
Confusion matrix
b)
Naive Bayes
c)
Mean absolute error (MAE)
d)
Anomaly
19.
Using confusion matrix, the answer is true based on ground truth, and the model predicts it is positive. This is known as
a)
True Positive (TP)
b)
False Positive (FP)
c)
True Negative (TN)
d)
False Negative (FN)
20.
This is something marked as deviated from the norm or a standard
a)
Anomaly
b)
Confusion matrix
c)
Naive Bayes
d)
Mean absolute error (MAE)
21.
Anomaly Detection works best with which of the following
a)
Intrusion Detection
b)
Fraud Detection
c)
Data Cleaning
d)
System Health Monitoring
22.
Which Computer Vision ML Neural Network is commonly used for image and video recognition
a)
Convolutional neural network
b)
Recurrent neural network
23.
Which computer Vision ML Neural Network is commonly used for handwriting or speech recognition
a)
Convolutional neural network
b)
Recurrent neural network
24.
Which type of Computer Vision ML Neural Network would you use if the objects are in motion
a)
Semantic Segmentation
b)
Image Analysis
c)
Object Detection
d)
Facial Detection
25.
Which of the following are Compyter Vision services provided by Azure
a)
Computer Vision
b)
Custom Vision
c)
Face
d)
Form Recogniser
26.
You make a phone call and respond verbally to prompts by the phone system. This is known as
a)
Interactive Voice Recognition System (IVRS)
b)
Voice Assistant
c)
Chatbox
27.
Azure conversational AI examples include which of the following
a)
QnA Maker
b)
Bot Service
c)
Semantic Segmentation
d)
Form Recogniser
28.
In Azure, you make your bot with __ and deploy the bot with __
a)
QnA Maker, Bot Service
b)
Bot Service, QnA Maker
c)
Sementic Segmentation, Bot Service
d)
Sementic Segmentation, QnA Maker
29.
You want Azure to detect offensive or unwanted content. Which cognitive service would you use
a)
Content Moderator
b)
Anomaly Detector
c)
Lanuage Understanding
d)
Text Analytics
30.
This Azure Cognitive Service will detect and translate more than 90 supported langauges
a)
Translator
b)
Speech to Text
c)
Speaker Recognition
d)
Language Understanding
31.
T/F the Face Azure Cognitive Service can detect emotions
a)
"True"
b)
"False"
32.
Azure Cognitive Service is an umbrella service that enables customers to access mutiple AI services with __
a)
API key and API endpoint
b)
Username and Password
c)
URL and Cert
d)
AD and Key
33.
What are the three steps of Knowledge Mining
a)
Ingest
b)
Enrich
c)
Explore
d)
Learn
e)
Teach
34.
Which of the following is part of Knowledge Mining that will enrich the content by extracting information, finding patters, and deepend understanding
a)
Enrich
b)
Ingest
c)
Explore
d)
Learn
e)
Teach
35.
The FACE service can/can not determine if someone is wearing jewlery
a)
can
b)
can not
36.
Azure Speech Service can do which of the following
a)
speech-to-text
b)
Text-to-speech
c)
Speech-translation
d)
detect emotion
37.
You want to know if people think positively about your product. Which Natural Langauage Processing (NLP) feature of Text Mining/Analysis is this?
a)
Sentiment Analysis
b)
Opinion Mining
c)
Key Phrase Extration
d)
Named Entity Recognition (NER)
38.
This Natural Langauage Processing (NLP) feature of Text Mining/Analysis identifies and matces keywords within unstructured text
a)
Named Entity Recognition (NER)
b)
Sentiment Analysis
c)
Opinion Mining
d)
Key Phrase Extration
39.
What service provides Optical Character Reognition in Azure
a)
Computer Vision SDK
b)
Language Understanding (LUIS)
c)
Custom Vision
d)
Form Recogniser
40.
This is a no-code ML service built into Natural Language for apps, bots, and IoT devices
a)
Language Understanding (LUIS)
b)
Form Recogniser
c)
Named Entity Recognition (NER)
d)
Content Moderator
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