Pass AI-102 Azure AI Engineer Associate Exam Certification Pdf Dumps Questions and Answers
                      
  
 
 
 Microsoft
  
AI-102
 Designing and Implementing a Microsoft Azure AI Solution
 
 
 
 
 
 
 
 
 
 
Questions And Answers PDF Format:  
 
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Latest Version: 18.0  
 
Question: 1  
   
DRAG DROP 
You are developing the smart e-commerce project. 
You need to design the skillset to include the contents of PDFs in searches. 
How should you complete the skillset design diagram? To answer, drag the appropriate services to the 
correct stages. Each service may be used once, more than once, or not at all. You may need to drag the 
split bar between panes or scroll to view content. 
NOTE: Each correct selection is worth one point. 
 
Answer:  
 
 
Explanation: 
Box 1: Azure Blob storage 
At the start of the pipeline, you have unstructured text or non-text content (such as images, scanned 
documents, or JPEG files). Data must exist in an Azure data storage service that can be accessed by an 
indexer. 
Box 2: Computer Vision API 
Scenario: Provide users with the ability to search insight gained from the images, manuals, and videos 
associated with the products. 
The Computer Vision Read API is Azure's latest OCR technology (learn what's new) that extracts printed 
text (in several languages), handwritten text (English only), digits, and currency symbols from images 
and multi-page PDF documents. 
Box 3: Translator API 
Scenario: Product descriptions, transcripts, and all text must be available in English, Spanish, and 
Portuguese. 
Box 4: Azure Files 
Scenario: Store all raw insight data that was generated, so the data can be processed later. 
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Incorrect Answers: 
The custom vision API from Microsoft Azure learns to recognize specific content in imagery and becomes 
smarter with training and time. 
Reference: 
https://docs.microsoft.com/en-us/azure/search/cognitive-search-concept-intro 
https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/overview-ocr 
 
Question: 2  
 
DRAG DROP 
You are planning the product creation project. 
You need to recommend a process for analyzing videos. 
Which four actions should you perform in sequence? To answer, move the appropriate actions from the 
list of actions to the answer area and arrange them in the correct order. (Choose four.) 
 
Answer:  
 
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Explanation: 
Scenario: All videos must have transcripts that are associated to the video and included in product 
descriptions. 
Product descriptions, transcripts, and all text must be available in English, Spanish, and Portuguese. 
Step 1: Upload the video to blob storage 
Given a video or audio file, the file is first dropped into a Blob Storage. T 
Step 2: Index the video by using the Video Indexer API. 
When a video is indexed, Video Indexer produces the JSON content that contains details of the specified 
video insights. The insights include: transcripts, OCRs, faces, topics, blocks, etc. 
Step 3: Extract the transcript from the Video Indexer API. 
Step 4: Translate the transcript by using the Translator API. 
Reference: 
https://azure.microsoft.com/en-us/blog/get-video-insights-in-even-more-languages/ 
https://docs.microsoft.com/en-us/azure/media-services/video-indexer/video-indexer-output-json-v2 
 
Question: 3  
 
HOTSPOT 
You are planning the product creation project. 
You need to build the REST endpoint to create the multilingual product descriptions. 
How should you complete the URI? To answer, select the appropriate options in the answer area. 
NOTE: Each correct selection is worth one point. 
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Answer:  
 
 
Explanation: 
Box 1: api-nam.cognitive.microsofttranslator.com 
 https://docs.microsoft.com/en-us/azure/cognitive-services/translator/reference/v3-0-reference 
Box 2: /translate 
Reference: 
https://docs.microsoft.com/en-us/azure/cognitive-services/translator/reference/v3-0-translate 
 
Question: 4 
 
You are developing the smart e-commerce project. 
You need to implement autocompletion as part of the Cognitive Search solution. 
Which three actions should you perform? Each correct answer presents part of the solution. (Choose 
three.) 
NOTE: Each correct selection is worth one point. 
 
A. Make API queries to the autocomplete endpoint and include suggesterName in the body. 
B. Add a suggester that has the three product name fields as source fields. 
C. Make API queries to the search endpoint and include the product name fields in the searchFields 
query parameter. 
D. Add a suggester for each of the three product name fields. 
E. Set the searchAnalyzer property for the three product name variants. 
F. Set the analyzer property for the three product name variants. 
 
Answer: ABF     
 
Explanation: 
Scenario: Support autocompletion and autosuggestion based on all product name variants. 
A: Call a suggester-enabled query, in the form of a Suggestion request or Autocomplete request, using 
an API. API usage is illustrated in the following call to the Autocomplete REST API. 
POST /indexes/myxboxgames/docs/autocomplete?search&api-version=2020-06-30 
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{ 
  "search": "minecraf", 
  "suggesterName": "sg" 
} 
B: In Azure Cognitive Search, typeahead or "search-as-you-type" is enabled through a suggester. A 
suggester provides a list of fields that undergo additional tokenization, generating prefix sequences to 
support matches on partial terms. For example, a suggester that includes a City field with a value for 
"Seattle" will have prefix combinations of "sea", "seat", "seatt", and "seattl" to support typeahead. 
F. Use the default standard Lucene analyzer ("analyzer": null) or a language analyzer (for example, 
"analyzer": "en.Microsoft") on the field. 
Reference: 
https://docs.microsoft.com/en-us/azure/search/index-add-suggesters 
 
Question: 5  
 
HOTSPOT 
You are developing the shopping on-the-go project. 
You are configuring access to the QnA Maker resources. 
Which role should you assign to AllUsers and LeadershipTeam? To answer, select the appropriate 
options in the answer area. 
NOTE: Each correct selection is worth one point. 
 
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Answer:  
 
Explanation: 
Box 1: QnA Maker Editor 
Scenario: Provide all employees with the ability to edit Q&As. 
The QnA Maker Editor (read/write) has the following permissions: 
Create KB API 
 Update KB API 
 Replace KB API 
 Replace Alterations 
 "Train API" [in 
new service model v5] 
Box 2: Contributor 
Scenario: Only senior managers must be able to publish updates. 
Contributor permission: All except ability to add new members to roles 
Reference: 
https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/reference-role-based-access-
control 
 
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