AI-900 FlashCards

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Last updated 11:58 PM on 12/16/24
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50 Terms

1
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What type of AI workload provides the ability to generate bounding boxes that identify locations of vehicles in an image?

Object detection

2
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What is an example of natural language processing (NLP)?

Extracting key phrases from a business insights report

3
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What type of AI workload includes searching text in various documents, such as images?

Data mining

4
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Which principle of responsible AI raises awareness about limitations of AI-based solutions?

Transparency

5
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Which responsible AI principle involves evaluating and mitigating bias introduced by model features?

Fairness

6
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Which principle defines the governance framework that meets ethical standards of AI solutions?

Accountability

7
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What is the primary responsible AI principle when implementing AI for business loan approvals?

Fairness

8
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Which principle is applied in AI system design to ensure users understand constraints of AI?

Transparency

9
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What are the two most important responsible AI principles when managing healthcare data?

Accountability and privacy and security

10
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What responsible AI principle is most important for driverless agriculture vehicles?

Reliability and safety

11
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What type of machine learning algorithm assigns items to predefined categories?

Classification

12
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What type of machine learning is predicting rainfall for a specific location?

Regression

13
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What type of machine learning is used to detect different types of bone fractures from scans?

Classification

14
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What should the model include when predicting diabetes based on age and body fat percentage?

Two features and one label

15
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What are the characteristics of features and labels in a regression training dataset?

Known feature and label values

16
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In predicting e-scooter hire service aspects, what are the two features?

Weather temperature and weekday or weekend

17
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What is the purpose of a validation dataset in machine learning model development?

Evaluating the trained model

18
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What should you do after preparing a dataset and before training the machine learning model?

Split data into training and validation datasets

19
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What is the first resource to create in Azure Machine Learning studio for automated ML model?

A dataset

20
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What should you create in Machine Learning studio to train a regression model?

A job

21
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What should you do first in the Azure Machine Learning designer to deploy a predictive service?

Create an inference pipeline.

22
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Which algorithm module in Azure ML designer is used to train a model?

Linear Regression

23
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Which computer vision solution identifies a person's age from a photograph?

Facial detection

24
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What provides bounding coordinates as part of its output in computer vision?

Object detection

25
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What process allows you to use object detection?

Tracking livestock in a field

26
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What can be used for an attendance system that scans handwritten signatures?

Optical character recognition (OCR)

27
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Which two specialized domain models are supported by Azure AI Vision service?

Celebrities and landmarks

28
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What additional information is included with each phrase returned by the image description task of Azure AI Vision?

Confidence score

29
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Which two prebuilt models are used to scan info from international passports and sales accounts with Azure AI Document Intelligence?

ID document model and invoice model

30
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Which feature of the Face Detect API helps identify if a human face has glasses or headwear?

Face attributes

31
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What should you use for face matching in Azure AI Face service?

Face identification and face verification

32
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Which service is used to train an image classification model?

Azure AI Custom Vision

33
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What NLP technique normalizes words before counting them?

Stemming

34
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What NLP technique assigns values to words like plant and flower to keep them closer?

Vectorization

35
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What is the first step in statistical analysis of terms in NLP?

Removing stop words

36
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What confidence score does the Azure AI Language detection service return for an unknown language?

NaN

37
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Which part of speech synthesis involves breaking text into individual words in NLP?

Tokenization

38
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Which feature analyzes online reviews to identify product sentiment?

Sentiment analysis

39
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Which two features enable text-to-text and speech-to-text between multiple languages?

The Speech service and the Translator service

40
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Which feature returns links to external websites for term disambiguation in Azure AI Language service?

Entity recognition

41
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What are the three elements of the Azure AI Speech service?

Language identification, speaker recognition, and voice assistants

42
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What are three sources to generate questions and answers for a knowledge base?

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

43
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What provides end users help with common tasks from a generative AI model?

Copilots

44
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At which layer can you apply content filters for a responsible generative AI solution?

Safety system

45
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What can return responses like natural language, images, or code based on input?

Generative AI

46
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What is the first stage in developing a responsible generative AI solution?

Identify potential harms.

47
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What are examples of image generation features for a generative AI model?

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

48
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What capability is NOT supported by the DALL-E model?

Image description

49
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What generates images based on natural language prompts?

DALL-E

50
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What can search, classify, and compare sources of text for similarity?

Embeddings