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The AI-102 certification exam covers a wide range of topics related to AI, including natural language processing, computer vision, speech recognition, and machine learning. AI-102 exam also covers the use of various tools and technologies that are commonly used in the development and deployment of AI solutions on the Azure platform. These tools include Azure Cognitive Services, Azure Machine Learning, and Azure Bot Service.
To prepare for the Microsoft AI-102 Exam, candidates are recommended to have a good understanding of AI concepts, programming languages such as Python and R, and experience in using Azure AI services. Microsoft offers various resources, including online courses, practice exams, and study guides, to help candidates prepare for the exam and increase their chances of passing it on the first attempt.
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Microsoft AI-102 exam measures your ability to build and deploy AI models, integrate AI services into applications, and monitor and optimize AI solutions. AI-102 exam focuses on three key areas: designing AI solutions, implementing AI solutions, and monitoring and optimizing AI solutions. AI-102 Exam also covers various Azure AI services, including Azure Cognitive Services, Azure Machine Learning, and Azure Bot Service.
NEW QUESTION # 195
You are building an Azure Cognitive Search custom skill.
You have the following custom skill schema definition.
For each of the following statements, select Yes if the statement. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Code Recap (Custom Skill JSON Schema)
{
" @odata.type " : " #Microsoft.Skills.Custom.WebApiSkill " ,
" description " : " My custom skill description " ,
" uri " : " https://contoso-webskill.azurewebsites.net/api/process " ,
" context " : " /document/organizations/* " ,
" inputs " : [
{
" name " : " companyName " ,
" source " : " /document/organizations/* "
}
],
" outputs " : [
{
" name " : " companyDescription "
}
]
}
Statement Analysis
CompanyDescription is available for indexing.
Yes.
The skill produces an output field called companyDescription . Outputs of a custom skill become part of the enrichment tree, which can then be projected into the search index or knowledge store.
The definition calls a web API as part of the enrichment process.
Yes.
This is a Web API skill ( @odata.type: #Microsoft.Skills.Custom.WebApiSkill ) with a uri pointing to
https://contoso-webskill.azurewebsites.net/api/process . This means an external web API is called to enrich data.
The enrichment step is called only for the first organization under /document/organizations .
No.
The context is set to " /document/organizations/* " , where the * means the skill runs for each element in the collection. It is not limited to the first element.
Final Answer
CompanyDescription is available for indexing # Yes
The definition calls a web API as part of the enrichment process # Yes
The enrichment step is called only for the first organization under /document/organizations # No Microsoft References Custom skills in Azure Cognitive Search Enrichment tree and skill context Reference:
https://docs.microsoft.com/en-us/azure/search/cognitive-search-output-field-mapping
NEW QUESTION # 196
Select the answer that correctly completes the sentence.
Answer:
Explanation:
Explanation:
account
The statement is:
"When provisioning an Azure Cosmos DB ______, you need to specify which type of API you will use." Options:
* account # Correct. When you create a Cosmos DB account, you must choose the API type (e.g., SQL API, MongoDB API, Cassandra API, Table API, Gremlin API). This decision defines the data model and query language. #
* container # A container is created inside a database (tables, collections, graphs) but does not determine the API type.
* database # Exists inside an account and inherits the API type from the account.
* item # Represents individual records/documents; not where the API is chosen.
Thus, the API choice is made at the account level.
The answer: account
* Azure Cosmos DB account overview
* Choose the right API for Cosmos DB
NEW QUESTION # 197
You have a question answering project in Azure Cognitive Service for Language.
You need to move the project to a Language service instance in a different Azure region.
Which three 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.
Answer:
Explanation:
Explanation:
NEW QUESTION # 198
You are building a retail chatbot that will use a QnA Maker service.
You upload an internal support document to train the model. The document contains the following question:
"What is your warranty period?"
Users report that the chatbot returns the default QnA Maker answer when they ask the following question:
"How long is the warranty coverage?"
The chatbot returns the correct answer when the users ask the following question: 'What is your warranty period?" Both questions should return the same answer.
You need to increase the accuracy of the chatbot responses.
Which three 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 three.)
Answer:
Explanation:
Explanation
Step 1: Add alternative phrasing to the question and answer (QnA) pair.
Add alternate questions to an existing QnA pair to improve the likelihood of a match to a user query.
Step 2: Retrain the model.
Periodically select Save and train after making edits to avoid losing changes.
Step 3: Republish the model
Note: A knowledge base consists of question and answer (QnA) pairs. Each pair has one answer and a pair contains all the information associated with that answer.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/how-to/edit-knowledge-base
NEW QUESTION # 199
You plan to provision Azure AI service resources by using the following method.
Answer:
Explanation:
Explanation:
The code snippet shows a helper function provision_resource that provisions Azure Cognitive Services accounts by specifying:
* Name (resource name)
* Kind (the type of Cognitive Service, e.g., ComputerVision, FormRecognizer, etc.)
* Location (Azure region, such as eastus)
* SKU tier (pricing tier, e.g., F0 = free, S0 = standard)
The dropdown includes ComputerVision, CustomVision.Prediction, CustomVision.Training, and FormRecognizer.
The question context indicates a need to provision an Azure AI service resource, and the answer area highlights the FormRecognizer option. This aligns with document processing scenarios requiring Azure AI Document Intelligence (formerly Form Recognizer).
The second dropdown shows combinations of pricing and regions:
* "eastus", "S1"
* "useast", "S1"
* "S0", "eastus"
* "S0", "useast"
Azure AI Form Recognizer (Document Intelligence) supports S0 (Standard) and F0 (Free) SKUs in common regions like East US. "S0", "eastus" is a valid and recommended configuration.
Other options like "S1" are not correct here, as Form Recognizer uses S0/F0, not S1.
The answer:
* Service Kind: FormRecognizer
* Location and SKU: "S0", "eastus"
* Azure AI Document Intelligence (Form Recognizer) documentation
* Azure Cognitive Services resource creation parameters
* Pricing tiers for Form Recognizer
NEW QUESTION # 200
......
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