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AI-900 > Exam Deck - AI-900 > Flashcards

Exam Deck - AI-900 Flashcards

1
Q

Which type of artificial intelligence (AI) workload provides the ability to generate bounding boxes that identify the locations of different types of vehicles in an image?

A

Object detection

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2
Q

Which artificial intelligence (AI) workload scenario is an example of natural language processing (NLP)?

A

Extracting key phrases from a business insights report

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3
Q

You are exploring solutions to improve the document search and indexing service for employees. You need an artificial intelligence (AI) search solution that will include searching text in various types of documents, such as images. Which type of AI workload is this?

A

Data mining

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4
Q

Which principle of responsible artificial intelligence (AI) raises awareness about the limitations of AI-based solutions?

A

Transparency

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5
Q

Which principle of responsible artificial intelligence (AI) involves evaluating and mitigating the bias introduced by the features of a model?

A

Fairness

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6
Q

Which principle of responsible artificial intelligence (AI) defines the framework of governance and organization principles that meet ethical and legal standards of AI solutions?

A

Accountability

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7
Q

Which principle of responsible artificial intelligence (AI) plays the primary role when implementing an AI solution that meets qualifications for business loan approvals?

A

Fairness

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8
Q

Which principle of responsible artificial intelligence (AI) is applied in the design of an AI system to ensure that users understand constraints and limitations of AI?

A

Transparency

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9
Q

Which two principles of responsible artificial intelligence (AI) are most important when designing an AI system to manage healthcare data?

A

Accountability and privacy and security

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10
Q

A company is currently developing driverless agriculture vehicles to help harvest crops. The vehicles will be deployed alongside people working in the crop fields, and as such, the company will need to carry out robust testing. Which principle of responsible artificial intelligence (AI) is most important in this case?

A

Reliability and safety

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11
Q

Which type of machine learning algorithm assigns items to a set of predefined categories?

A

Classification

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12
Q

Predicting rainfall for a specific geographical location is an example of which type of machine learning?

A

Regression

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13
Q

A healthcare organization has a dataset consisting of bone fracture scans that are categorized by using predefined fracture types. The organization wants to use machine learning to detect the different types of bone fractures for new scans before the scans are sent to a medical practitioner. Which type of machine learning is this?

A

Classification

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14
Q

You plan to use machine learning to predict the probability of humans developing diabetes based on their age and body fat percentage. What should the model include?

A

Two features and one label

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15
Q

In a regression machine learning algorithm, what are the characteristics of features and labels in a training dataset?

A

Known feature and label values

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16
Q

A company is using machine learning to predict various aspects of its e-scooter hire service dependent on weather. This includes predicting the number of hires, the average distance traveled, and the impact on e-scooter battery levels. For the machine learning model, which two attributes are the features?

A

Weather temperature and weekday or weekend

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17
Q

What is the purpose of a validation dataset used for as part of the development of a machine learning model?

A

Evaluating the trained model

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18
Q

What should you do after preparing a dataset and before training the machine learning model?

A

Split data into training and validation datasets

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19
Q

You need to create an automated machine learning (automated ML) model. Which resource should you create first in Azure Machine Learning studio?

A

A dataset

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20
Q

You need to use Azure Machine Learning to train a regression model. What should you create in Machine Learning studio?

A

A job

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21
Q

You need to use the Azure Machine Learning designer to deploy a predictive service from a newly trained model. What should you do first in the Machine Learning designer?

A

Create an inference pipeline.

22
Q

Which machine learning algorithm module in the Azure Machine Learning designer is used to train a model?

A

Linear Regression

23
Q

Which computer vision solution provides the ability to identify a person’s age based on a photograph?

A

Facial detection

24
Q

Which computer vision service provides bounding coordinates as part of its output?

A

Object detection

25
Q

Which process allows you to use object detection?

A

Tracking livestock in a field

26
Q

What can be used for an attendance system that can scan handwritten signatures?

A

Optical character recognition (OCR)

27
Q

Which two specialized domain models are supported by using the Azure AI Vision service?

A

Celebrities and landmarks

28
Q

Which additional piece of information is included with each phrase returned by an image description task of the Azure AI Vision?

A

Confidence score

29
Q

Which two prebuilt models allow you to use the Azure AI Document Intelligence service to scan information from international passports and sales accounts?

A

ID document model and invoice model

30
Q

When using the Face Detect API of the Azure AI Face service, which feature helps identify whether a human face has glasses or headwear?

A

Face attributes

31
Q

When using the Azure AI Face service, what should you use to perform one-to-many or one-to-one face matching?

A

Face identification and face verification

32
Q

Which service can you use to train an image classification model?

A

Azure AI Custom Vision

33
Q

Which natural language processing (NLP) technique normalizes words before counting them?

34
Q

Which natural language processing (NLP) technique assigns values to words such as plant and flower, so that they are considered closer to each other than a word such as airplane?

A

Vectorization

35
Q

What is the first step in the statistical analysis of terms in a text in the context of natural language processing (NLP)?

A

Removing stop words

36
Q

What is the confidence score returned by the Azure AI Language detection service of natural language processing (NLP) for an unknown language name?

37
Q

Which part of speech synthesis in natural language processing (NLP) involves breaking text into individual words such that each word can be assigned phonetic sounds?

A

Tokenization

38
Q

Which Azure AI Service for Language feature can be used to analyze online user reviews to identify whether users view a product positively or negatively?

A

Sentiment analysis

39
Q

Which two Azure AI Services features can be used to enable both text-to-text and speech-to-text between multiple languages?

A

The Speech service and the Translator service

40
Q

Which feature of the Azure AI Language service includes functionality that returns links to external websites to disambiguate terms identified in a text?

A

Entity recognition

41
Q

Which three features are elements of the Azure AI Speech service?

A

Language identification, speaker recognition, and voice assistants

42
Q

Which three sources can be used to generate questions and answers for a knowledge base?

A

A webpage, an existing FAQ document, and manually entered data

43
Q

Select the answer that correctly completes the sentence. [Answer choice] use plugins to provide end users with the ability to get help with common tasks from a generative AI model.

44
Q

At which layer can you apply content filters to suppress prompts and responses for a responsible generative AI solution?

A

Safety system

45
Q

Select the answer that correctly completes the sentence. [Answer choice] can return responses, such as natural language, images, or code, based on natural language input.

A

Generative AI

46
Q

As per the NIST AI Risk Management Framework, what is the first stage to consider when developing a responsible generative AI solution?

A

Identify potential harms.

47
Q

Which three capabilities are examples of image generation features for a generative AI model?

A

Creating variations of an image, editing an image, and new image creation

48
Q

You plan to develop an image processing solution that will use DALL-E as a generative AI model. Which capability is NOT supported by the DALL-E model?

A

Image description

49
Q

Which generative AI model is used to generate images based on natural language prompts?

50
Q

Select the answer that correctly completes the sentence. [Answer choice] can search, classify, and compare sources of text for similarity.

A

Embeddings

AI-900 (1 decks)

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