Microsoft AI-102 Dumps - Designing and Implementing a Microsoft Azure AI Solution PDF Sample Questions

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Exam Code:
AI-102
Exam Name:
Designing and Implementing a Microsoft Azure AI Solution
273 Questions
Last Update Date : 21 May, 2024
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AI-102 Complete Exam Detail:

Detail Information
Total Time 180 minutes (3 hours)
Exam Fee $165 USD
Passing Marks 700 out of 1000
Available Languages English
Exam Code AI-102
Exam Name Designing and Implementing an Azure AI Solution

Designing and Implementing a Microsoft Azure AI Solution Complete Exam Topics Breakdown:

Domain Percentage of Exam
Analyze solution requirements 25%
Design AI solutions 30%
Integrate AI models into solutions 25%
Deploy and manage AI solutions 20%

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Realexamdumps Providing most updated Azure AI Engineer Associate Question Answers. Here are a few exams:


Sample Questions

Realexamdumps Providing most updated Azure AI Engineer Associate Question Answers. Here are a few sample questions:

Microsoft AI-102 Sample Question 1

You are developing the knowledgebase by using Azure Cognitive Search.

You need to process wiki content to meet the technical requirements.

What should you include in the solution?


Options:

A. an indexer for Azure Blob storage attached to a skillset that contains the language detection skill and the text translation skill
B. an indexer for Azure Blob storage attached to a skillset that contains the language detection skill
C. an indexer for Azure Cosmos DB attached to a skillset that contains the document extraction skill and the text translation skill
D. an indexer for Azure Cosmos DB attached to a skillset that contains the language detection skill and the text translation skill

Answer: C Explanation: Explanation: The wiki contains text in English, French and Portuguese.Scenario: All planned projects must support English, French, and Portuguese.The Document Extraction skill extracts content from a file within the enrichment pipeline. This allows you to take advantage of the document extraction step that normally happens before the skillset execution with files that may be generated by other skills.Note: The Translator Text API will be used to determine the from language. The Language detection skill is not required.Reference: [Reference:, https://docs.microsoft.com/en-us/azure/search/cognitive-search-skill-document-extraction, , https://docs.microsoft.com/en-us/azure/search/cognitive-search-skill-text-translation, , ]

Microsoft AI-102 Sample Question 2

You are developing the chatbot.

You create the following components:

• A QnA Maker resource

• A chatbot by using the Azure Bot Framework SDK

You need to add an additional component to meet the technical requirements and the chatbot requirements. What should you add?


Options:

A. Dispatch
B. chatdown
C. Language Understanding
D. Microsoft Translator

Answer: A Explanation: Explanation: Scenario: All planned projects must support English, French, and Portuguese.If a bot uses multiple LUIS models and QnA Maker knowledge bases (knowledge bases), you can use the Dispatch tool to determine which LUIS model or QnA Maker knowledge base best matches the user input. The dispatch tool does this by creating a single LUIS app to route user input to the correct model.Reference: [Reference:, https://docs.microsoft.com/en-us/azure/bot-service/bot-builder-tutorial-dispatch, , , ]

Microsoft AI-102 Sample Question 3

You are developing the document processing workflow.

You need to identify which API endpoints to use to extract text from the financial documents. The solution must meet the document processing requirements.

Which two API endpoints should you identify? Each correct answer presents part of the solution.

NOTE: Each correct selection is worth one point.


Options:

A. /vision/v3.2/read/analyzeResults
B. /formrecognizer/v2.0/prebuilt/receipt/analyze
C. /vision/v3.2/read/analyze
D. /vision/v3.2/describe
E. /formercognizer/v2.0/custom/models{modelId}/ analyze

Answer: B, C Explanation: Explanation: C: Analyze Receipt - Get Analyze Receipt Result.Query the status and retrieve the result of an Analyze Receipt operation.Request URL: https://{endpoint}/formrecognizer/v2.0-preview/prebuilt/receipt/analyzeResults/{resultId} E: POST {Endpoint}/vision/v3.2/read/analyzeUse this interface to get the result of a Read operation, employing the state-of-the-art Optical Character Recognition (OCR) algorithms optimized for text-heavy documents.Scenario: Contoso plans to develop a document processing workflow to extract information automatically from PDFs and images of financial documentsThe document processing solution must be able to process standardized financial documents that have the following characteristics:- Contain fewer than 20 pages.- Be formatted as PDF or JPEG files.- Have a distinct standard for each office.*The document processing solution must be able to extract tables and text from the financial documents.The document processing solution must be able to extract information from receipt images.Reference: [Reference:, https://westus2.dev.cognitive.microsoft.com/docs/services/form-recognizer-api-v2-preview/operations/GetAnalyzeReceiptResult, , https://docs.microsoft.com/en-us/rest/api/computervision/3.1/read/read, , , ]

Microsoft AI-102 Sample 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.


Options:

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: A, B, F Explanation: 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{"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: [Reference:, https://docs.microsoft.com/en-us/azure/search/index-add-suggesters, , , , ]

Microsoft AI-102 Sample Question 5

You are developing the knowledgebase by using Azure Cognitive Search.

You need to meet the knowledgebase requirements for searching equivalent terms.

What should you include in the solution?


Options:

A. synonym map
B. a suggester
C. a custom analyzer
D. a built-in key phrase extraction skill

Answer: A Explanation: Explanation: Within a search service, synonym maps are a global resource that associate equivalent terms, expanding the scope of a query without the user having to actually provide the term. For example, assuming "dog", "canine", and "puppy" are mapped synonyms, a query on "canine" will match on a document containing "dog".Create synonyms: A synonym map is an asset that can be created once and used by many indexes.Reference: [Reference:, https://docs.microsoft.com/en-us/azure/search/search-synonyms, , , , ]

Microsoft AI-102 Sample Question 6

You are building an Azure Weblob that will create knowledge bases from an array of URLs.

You instantiate a QnAMakerClient object that has the relevant API keys and assign the object to a variable named client.

You need to develop a method to create the knowledge bases.

Which two actions should you include in the method? Each correct answer presents part of the solution.

NOTE: Each correct selection is worth one point.


Options:

A. Create a list of FileDTO objects that represents data from the WebJob.
B. Call the client. Knowledgebase. CreateAsync method.
C. Create a list of QnADTO objects that represents data from the WebJob.
D. Create a CreaceKbDTO object.

Answer: A, C Explanation: Reference: [Reference:, https://docs.microsoft.com/en-us/rest/api/cognitiveservices-qnamaker/qnamaker4.0/knowledgebase/create, ]

Microsoft AI-102 Sample Question 7

Which statement is an example of Data Manipulation Language (DML)?


Options:

A. Revoke
B. UPDATE
C. DROP
D. CREATE

Answer: C

Microsoft AI-102 Sample Question 8

You use the Custom Vision service to build a classifier.

After training is complete, you need to evaluate the classifier.

Which two metrics are available for review? Each correct answer presents a complete solution. (Choose two.)

NOTE: Each correct selection is worth one point.


Options:

A. recall
B. F-score
C. weighted accuracy
D. precision
E. area under the curve (AUC)

Answer: A, D Explanation: Explanation: Custom Vision provides three metrics regarding the performance of your model: precision, recall, and AP.Reference: [Reference:, https://www.tallan.com/blog/2020/05/19/azure-custom-vision/, , , ]


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