Azure AI Engineer Associate (AI-102) Exam Dumps & Questions 2025
Azure AI Engineer Associate (AI-102) Exam Dumps & Questions 2025
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Question 1:
Identify the missing word(s) in the following sentence within the context of Microsoft Azure.
Like the Prediction API, the Training API provides HTTP methods for adding training images to a project and tagging them. The process of calling and consuming the response is identical to the Prediction API process. It just uses different endpoints.
The Custom Vision [?] method is the underlying method used to send tagged training images. Just like the Prediction API, the Custom Vision Training API provides separate methods for uploading binary files and for supplying publicly available image URLs:
• CreateImagesFromFiles
• CreateImagesFromUrls
A. SourceImages
B. ImageProcurement
C. CreateImages
D. TargetImages
Answer: C
Explanation:
Like the Prediction API, the Training API provides HTTP methods for adding training images to a project and tagging them. The process of calling and consuming the response is identical to the Prediction API process. It just uses different endpoints.
The Custom Vision CreateImages method is the underlying method used to send tagged training images. Just like the Prediction API, the Custom Vision Training API provides separate methods for uploading binary files and for supplying publicly available image URLs:
• CreateImagesFromFiles includes one or more encoded image files, and optional tags, to create images. There’s a limit of 64 images and 20 tags.
• CreateImagesFromUrls specifies one or more URLs, and optional tags, to create images. There’s a limit of 64 images and 20 tags.
The endpoints all have the same basic format as endpoints in the Prediction API:
Text
https://{endpoint}/customvision/v3.0/training/projects/{projectId}/images/{imageType}
In this URL:
• {endpoint} is the location endpoint the service was created in, for example, southcentralus.api.cognitive.microsoft.com.
• {projectId} is a unique project identifier that’s used to specify the Custom Vision service.
• {imageType} is either urls, when the images are passed as URLs, or files, when the images are passed as encoded data in the body of the request.
https://docs.microsoft.com/en-ca/learn/modules/evaluate-requirements-for-custom-computer-vision-api/5-examine-the-custom-vision-training-api
Question 2:
The Entity Recognition service expects a JSON formatted submission. The format is not complex but requires three main attributes. Which of the below are the main attributes? (Select three)
A. Document
B. Session
C. Text
D. ID
E. Language
F. Utterance
Answer: C, D and E
Explanation:
The Entity Recognition service expects a JSON formatted submission.
The format is not complex but requires three main attributes, ID, Text, and Language.
The ID attribute can be used when there are multiple entries in the document. It helps to identify the specific text portion where the entity was located. As an example, if the submitted request contains more than one entry for text, the ID is used to locate the entities for that text, within the results.
The text attribute contains the actual text that will be evaluated and the language attribute tells the service which localized language to expect the text in.
As an example, the following JSON document was submitted to the service for entity recognition.
JSON
“documents”: [
{“id”: “1”, “language”: “en”, “text”: “Microsoft was founded by Bill Gates and Paul Allen on April 4, 1975, to develop and sell BASIC interpreters for the Altair 8800.”},
{“id”: “2”, “language”: “es”,
“text”: “La sede principal de Microsoft se encuentra en la ciudad de Redmond, a 21 kilómetros de Seattle.”
}
]
https://docs.microsoft.com/en-us/azure/search/cognitive-search-skill-entity-recognition
Question 3:
The Text Analytics API can detect all languages, variants, dialects, and some regional/cultural languages.
A. FALSE
B. TRUE
Answer: A
Explanation:
The Text Analytics API can detect a wide range of languages, variants, dialects, and some regional/cultural languages.
Language detection is useful for content stores that collect arbitrary text, where language is unknown. You can parse the results of this analysis to determine which language is used in the input document. Use language detection in scenarios where language in some input, is not known ahead of time. A good example is a chat bot that is deployed for use around the world. Detecting the language used by the person interacting with the chat bot, allows you to configure the appropriate language for a response.
https://docs.microsoft.com/en-us/azure/cognitive-services/Text-Analytics/
Question 4:
Identify the missing word(s) in the following sentence within the context of Microsoft Azure.
Managing the data in your LUIS app involves altering, converting, extracting, and managing storage. At its core, the data in a LUIS app consists of the utterances, intents, and entities. LUIS stores data encrypted in an Azure data store corresponding to the region specified by the key. This data is stored [?]
A.Indefinitely
B. For 24 hours
C. For 30 days
D. For 365 days
Answer: C
Explanation:
Managing the data in your LUIS app involves altering, converting, extracting, and managing storage. At its core, the data in a LUIS app consists of the utterances, intents, and entities. LUIS stores data encrypted in an Azure data store corresponding to the region specified by the key. This data is stored for 30 days.
https://docs.microsoft.com/en-ca/learn/modules/manage-language-understanding-intelligent-service-apps/4-manage-data-language-understanding-intelligent-service-app?pivots=csharp
Question 5:
Edwin Jarvis works at Beyond Corporation where he wants to use the Speech service to build an application that reads incoming email message subjects aloud.
Which API should Jarvis use?
A. Text Analytics
B. Text-to-Speech
C. Translate
D. Speech-to-Text
Answer: B
Explanation:
The Text-to-Speech API converts text to audible speech.
The Text-to-Speech API
The text-to-speech API enables you to convert text input to audible speech, which can either be played directly through a computer speaker or written to an audio file.
Speech synthesis voices
When you use the text-to-speech API, you can specify the voice to be used to vocalize the text. This capability offers you the flexibility to personalize your speech synthesis solution and give it a specific character.
The service includes multiple pre-defined voices with support for multiple languages and regional pronunciation, including standard voices as well as neural voices that leverage neural networks to overcome common limitations in speech synthesis with regard to intonation, resulting in a more natural sounding voice. You can also develop custom voices and use them with the text-to-speech API
Supported Languages
Both the speech-to-text and text-to-speech APIs support a variety of languages. Use the links below to find details about the supported languages:
• Speech-to-text languages.
• Text-to-speech languages.
https://docs.microsoft.com/en-us/learn/modules/recognize-synthesize-speech/2-get-started-azure
For a full set of 530 questions. Go to
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SkillCertPro offers detailed explanations to each question which helps to understand the concepts better.
It is recommended to score above 85% in SkillCertPro exams before attempting a real exam.
SkillCertPro updates exam questions every 2 weeks.
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Question 6:
What is the purpose of the “None” intent?
A. The None intent is used when a user sends null requests.
B. The None intent is used to remove spaces from the beginnings and endings of utterances.
C. Random utterances that don’t map to any of your intents can be mapped to None.
D. Spam utterances are sent to the None intent folder for moderation.
Answer: C
Explanation:
The None intent serves as a catchall for utterances that don’t map to existing intents.
Data outside of application scope: If your application will see utterances that fall outside of your defined intents, make sure to provide those. The examples that aren’t assigned to a particular defined intent will be labeled with the None intent. It’s important to have realistic examples for the None intent to properly predict utterances that are outside the scope of the defined intents.
For example, if you are creating an HR bot focused on leave time and you have three intents:
• Schedule or edit a leave
• Inquire about available leave days
• Approve/disapprove leave
You want to make sure you have utterances that cover both of those intents, but also that cover potential utterances outside that scope that the application should serve like these:
• What are my medical benefits?
• Who is my HR rep?
• Tell me a joke
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/data-collection
Question 7:
Identify the missing word(s) in the following sentence within the context of Microsoft Azure.
The Entity Recognition service expects a [?] formatted submission.
A. C++
B. JSON
C. Python
D. Ruby
E. C#
Answer: B
Explanation:
The Entity Recognition service expects a JSON formatted submission.
The format is not complex but requires three main attributes, ID, text, and language.
The ID attribute can be used when there are multiple entries in the document. It helps to identify the specific text portion where the entity was located. As an example, if the submitted request contains more than one entry for text, the ID is used to locate the entities for that text, within the results.
The text attribute contains the actual text that will be evaluated and the language attribute tells the service which localized language to expect the text in.
As an example, the following JSON document was submitted to the service for entity recognition.
JSON
“documents”: [
{“id”: “1”, “language”: “en”, “text”: “Microsoft was founded by Bill Gates and Paul Allen on April 4, 1975, to develop and sell BASIC interpreters for the Altair 8800.”},
{“id”: “2”, “language”: “es”,
“text”: “La sede principal de Microsoft se encuentra en la ciudad de Redmond, a 21 kilómetros de Seattle.”
}
]
https://docs.microsoft.com/en-us/azure/search/cognitive-search-skill-entity-recognition
Question 8:
What results will be returned from a search request within Video Indexer?
A. The search will return exact moments in the video based on insights.
B. The search will return one item per video based on title and description.
C. The search will return the respective time block of the search based on the division of the video into 30 second blocks
D. The search will return links to the start of videos only.
Answer: A
Explanation:
The Video Indexer search results will include exact start times where an insight exists, possibly multiple matches for the same video if multiple segments are matched.
https://azure.microsoft.com/en-us/services/media-services/video-indexer/
Question 9:
Identify the missing word(s) in the following sentence within the context of Microsoft Azure.
[?] is any representation of information that permits the identity of an individual to whom the information applies to, be reasonably inferred by either direct or indirect means.
A. FISMA
B. TOCTOU
C. CFAA
D. PII
E. HIPAA
Answer: D
Explanation:
Personal Identifiable Information (PII) is defined as:
Any representation of information that permits the identity of an individual to whom the information applies to, be reasonably inferred by either direct or indirect means.
Further, PII is defined as information:
(i) that directly identifies an individual (e.g., name, address, social security number or other identifying number or code, telephone number, email address, etc.) or
(ii) by which an agency intends to identify specific individuals in conjunction with other data elements, i.e., indirect identification. (These data elements may include a combination of gender, race, birth date, geographic indicator, and other descriptors). Additionally, information permitting the physical or online contacting of a specific individual is the same as personally identifiable information. This information can be maintained in either paper, electronic or other media.
https://www.dol.gov/general/ppii
Question 10:
Identify the missing word(s) in the following sentence within the context of Microsoft Azure.
[?] is the term used to describe solutions where AI agents participate in conversations with humans.
A. OCR
B. LUIS
C. Semantic Segmentation
D. Bots
E. Conversational AI
Answer: E
Explanation:
Conversational AI is the term used to describe solutions where AI agents participate in conversations with humans. Most commonly, conversational AI solutions use bots to manage dialogs with users. These dialogs can take place through web site interfaces, email, social media platforms, messaging systems, phone calls, and other channels.
Bots can be the basis of AI solutions for:
• Customer support for products or services.
• Reservation systems for restaurants, airlines, cinemas, and other appointment based businesses.
• Health care consultations and self-diagnosis.
• Home automation and personal digital assistants.
https://docs.microsoft.com/en-us/learn/modules/get-started-ai-fundamentals/6-understand-conversational-ai
For a full set of 530 questions. Go to
https://skillcertpro.com/product/azure-ai-engineer-associate-ai-102-exam-questions/
SkillCertPro offers detailed explanations to each question which helps to understand the concepts better.
It is recommended to score above 85% in SkillCertPro exams before attempting a real exam.
SkillCertPro updates exam questions every 2 weeks.
You will get life time access and life time free updates
SkillCertPro assures 100% pass guarantee in first attempt.