Block Exam 4 Artificial Intelligence Questions
Block Exam 4: Artificial Intelligence Quiz
Test your knowledge and skills in artificial intelligence with our comprehensive quiz! Featuring 74 well-crafted questions, this quiz covers a wide range of topics in AI, from machine learning techniques to natural language processing applications.
- Multiple choice and checkbox questions
- Real-world applications and services
- Designed for AI enthusiasts and professionals alike
In a logistic regression, the target output is a continuous value.
True
False
What type of learning is K-means clustering?
Semi-supervised learning
Supervised learning
Unsupervised learning
All of the above
None of the above
Assume that you want to develop a learning algorithm to address the following problem: You want to examine individual customer accounts and determine whether they have been hacked or compromised. This should be treated as a supervised ___________.
Classification
Regression
Autonomous cars are one of many applications of deep learning.
True
False
The following Watson services cannot be trained by users: (Please select ALL that apply)
Watson Assistant
Personality Insights
Visual Recognition
Tone Analyzer
The Personality Insights service analyzes text to extract metadata from content, such as concepts, entities, keywords, categories, sentiment, emotion, relations, and semantic roles.
True
False
This Watson service requires Watson Knowledge Studio to be customized for a specific domain:
Visual Recognition
Natural Language Understanding
Watson Assistant
Provides tools that SMEs can use to annotate unstructured domain literature, and uses those annotations to create a custom machine-learning model that understands the language of the domain:
Watson Studio
Watson Machine Learning
Watson Knowledge Studio
Watson Health
Enables applications to use natural language to automatically respond to user questions:
Natural Language Understanding
Watson Assistant
Natural Language Classifier
Discovery
Speech to Text
Object storage provides the space where unstructured data for your project is stored.
True
False
Watson Studio communities provide access to articles, tutorials, and even data sets that you can use
True
False
Collaboration within Watson Studio is an optional add-on component that must be purchased
True
False
Collaborators can be given different access levels
True
False
Watson Studio is designed only for the data scientist persona
True
False
Which of the following are Watson Machine Learning personas? (Please select ALL that apply)
Tester
Business analyst
Project manager
Developers
Data scientist
Which of the following is not part of data processing?
Data Cleaning
Data prediction
Data Integration
Data Sampling
Data formatting
Watson Machine Learning integrates with Watson Studio.
True
False
The most time-consuming phase in CRISP-DM is:
Business understanding
Data preparation
Evaluation preparation
Deployment preparation
In CRISP-DM, which phase focuses on machine learning?
Business understanding
Data preparation
Modeling
Evaluation
Deployment
What are examples of information extraction?
Entities identification
Relation identification
Automatic summarization
All of the above
None of the above
"Apple" is the ...... of "fruit"
Synonym
Antonym
Hypernymy
Hyponymy
"Ugly" is the ...... of "Pretty"
Synonym
Antonym
Hypernymy
Hyponymy
Email spam detection is a use case of:
Sentiment analysis B
Classification
Chatbots
Translation
What is the process of labeling tokens with their grammatical label?
Tokenization
POS tagging
Lexical analysis
Parsing
The technique that is used to unify all date formats in your data set into one common format is called:
Stemming
Tokenization
Normalization
For any NLP task, you must apply every step in the NLP pipeline
True
False
Sentiment analysis is an NLU application
True
False
Accuracy is the harmonic mean of precision and recall
True
False
F-score is calculated as (hint P=precision, R= Recall):
2*(P+R)/(P+R)
2*(P*R)/(P+R)
(P*R)/2*(P+R)
(P+R)/2*(P*R)
To calculate the F-score, you must calculate accuracy first.
True
False
Assume that you developed an algorithm and calculated the Precision as 0.5 and the Recall as 0.5. What is the value of F-score in this case?
0.25
0.50
1.00
Watson Discovery provides one of the following capabilities:
Returns best matching class for a sentence or phrase
Identifies a variety of tones at both the sentence and document level
Derives insights from transactional and social media data to identify psychological traits
Adds cognitive search and content analytics to applications to identify patterns, trends, and insights
Watson Discovery News is updated continuously with new articles
True
False
Discovery provides an end-to-end solution that includes document conversion, data storage, and a simplified query language
True
False
Which of the following inputs can be analyzed by Watson NLU?
Text
HTML
Public URL
All of the above
None of the above
A ruled based model can be used to pre-annotate documents to speed up the human annotation process.
True
False
____ groups words and phrases that should be treated equivalently by a model
Ground truth
Ruled-based model
Dictionary
Machine learning model
Type system
Rule-based models are efficient for complex text extraction that has variations
True
False
______ defines entities and relationships between entities that are interesting for your domain (mentions, entity types, relation types)
Dictionary
Type system
Pre-annotation
Ground truth
___ is a collection of vetted data used to adapt a Watson solution to a particular domain
Ruled-based model
Ground truth
Dictionary
Machine learning model
Type system
The following Watson service cannot be trained by using Knowledge Studio
Watson Natural Language Classifier
Watson Natural Language Understanding
Watson Discovery
There are two types of viewpoint: lean forward and lean backward
True
False
Chatbots can be used for:
Customer support
Entertainment
Sales assistant
All of the above
Represents the voice in which the chatbot solution speaks, for example, informal, friendly, formal
Viewpoint
Purpose
Tone and personality
Positioning
Proactivity
Advancements in NLP and AI are key factors in the emergence of chatbots
True
False
___ is the role that the chatbot solution should adopt in relation to the end user, for example customer support operator, coach, friend, teacher
Viewpoint
Purpose
Positioning
Proactivity
A chatbot that reaches out to the user by asking questions and offering information is considered reactive by design
True
False
#pay_billis an example of ____
Intent
Dialog
Condition
Entity
A branching conversation flow that defines how your chatbot responds when it recognizes the input from the user
Intent
Dialog
Condition
Entity
All of the above
The dialog flow is from top to bottom and left to right
True
False
The ____ name is always prefixed with '@'
Intent
Entity
Dialog
Skill
Which of the following features can be used to enrich your chatbot?
Avatar
Tone analysis
Speech recognition
Text to speech
All of the above
Which of the following response types can be used in a dialog node?
Image
Text
Option
All of the above
Which feature of a dialog can be used to ask only for input that the user has not already provided?
Rich response
Slot
Conditional response
Context variable
The content catalog is used to add pre-built entities
True
False
@menu is an example of intent
True
False
Which of the following items are CV tools and services? (Please select ALL that apply)
Chatfuel
API.ai
OpenCV
IBM Watson Visual Recognition
One of the following items is NOT an application of CV:
Process claims by using images to classify claims into different categories
Real-time video stream analysis to include targeted observations, such as facial recognition and automated license-plate reading
Use images from a manufacturing setting to make sure that products are being positioned correctly on an assembly line
Sentiment analysis by analyzing the words that are posted in social media channels
Convolutional neural networks were proposed in the well-known 1998 research paper by Yann LeCun and Léon Bottou
True
False
Watson Visual Recognition cannot be trained
True
False
In the CV pipeline, high-level processing deals with detecting different segments of the image that can be subject of analysis, like face detection
True
False
Which of the following items is an example of feature extraction:
Size
Color
Lines and edges
Noise
Which function is not part of the pre-processing stage?
Resizing Images
Corner detection
Contrast adjustment
Noise reduction
There is only one model to represent color in images, which is the RGB color model
True
False
To use the Watson Visual Recognition service, the first thing that you must do is:
Create your own custom classifier
Create a Watson Visual Recognition service instance
Use the default classifier to detect faces
Use the custom classifier to detect faces
By using the Watson Visual Recognition service, you can create your own custom classifier
True
False
What is the highest confidence value that is presented by Watson Visual Recognition Classifier?
100
0.9
1
10
He Watson Visual Recognition service must be trained before it can be used
True
False
To train a custom model (classifier) you must provide at least:
One positive example
One negative Example
Two positive examples or one positive example and one negative example
Two positive examples and two negative examples
Integrating a custom model created for a particular domain by using Knowledge Studio with Discovery service enables organizations to get expert analysis of their document collections
True
False
Which service can be integrated with the Watson Assistant to detect the user's anger?
Natural Language Classifier
Tone Analyzer
Watson Discovery
Anger Detection
It is better to integrate just one Watson service to add cognition to the application
True
False
Which Watson service is used to analyze and search data inside human-readable documents?
Watson Knowledge Studio
Natural Language Understanding
Watson Discovery
Language Translator
Which item maintains the conversation state information?
Callback function
Entity
Context
REST API
{"name":"Block Exam 4 Artificial Intelligence Questions", "url":"https://www.quiz-maker.com/QPREVIEW","txt":"Test your knowledge and skills in artificial intelligence with our comprehensive quiz! Featuring 74 well-crafted questions, this quiz covers a wide range of topics in AI, from machine learning techniques to natural language processing applications.Multiple choice and checkbox questionsReal-world applications and servicesDesigned for AI enthusiasts and professionals alike","img":"https:/images/course1.png"}
More Quizzes
Artificial intelligence
1587
So you think you can AI
54270
AI/ML
2010105
AI Training Exam | WE
2412125
Deep Learning
20100
NeuroData Training : Deep Learning
10532
Artificial intelligence and machine learning - take the quiz
201053
Ultimate AI and Machine Learning Quiz
3417149
Decision Trees Mastery Quiz
11616
Marketing Analytics week 10
1059
AI Epi
2010115
Quiz9
1265