AI-102 Exam Dumps - Microsoft Azure AI Engineer Associate Questions and Answers

You are building a chatbot that will use an Azure OpenAI model.

You need to deploy the model in your Azure subscription.

Key Steps to Deploy an Azure OpenAI Model for a Chatbot:

Apply for access to Azure OpenAI

Azure OpenAI is a gated service and requires approval before you can provision resources.

Provision an Azure OpenAI resource

After approval, you must provision an Azure OpenAI resource in your subscription.

Deploy the GPT model

Since the chatbot requires natural language understanding and conversation, you deploy a GPT model (e.g., GPT-4, GPT-3.5).

Actions That Are Not Required for this Question:

Provision Azure API Management → Not needed for basic deployment (used only for advanced API management scenarios).

Deploy the embeddings model → Used for search/RAG, not necessary for chatbot baseline.

Deploy the DALL-E model → Used for image generation, not chatbot text responses.

Correct Order:

Apply for access to Azure OpenAI.

Provision an Azure OpenAI resource.

Deploy the GPT model.

Verified Answer (Sequence):

Apply for access to Azure OpenAI

Provision an Azure OpenAI resource

Deploy the GPT model

Microsoft References:

Quickstart: Get started with Azure OpenAI

Deploying models in Azure OpenAI

Language Understanding: An AI service that allows users to interact with your applications, bots, and IoT devices by using natural language.

QnA Maker is a cloud-based Natural Language Processing (NLP) service that allows you to create a natural conversational layer over your data. It is used to find the most appropriate answer for any input from your custom knowledge base (KB) of information.

Text Analytics: Mine insights in unstructured text using natural language processing (NLP)—no machine learning expertise required. Gain a deeper understanding of customer opinions with sentiment analysis. The Language Detection feature of the Azure Text Analytics REST API evaluates text input

The question describes:

An Azure subscription with an Azure AI Content Safety resource.

A social media application where users can upload images.

The requirement is to moderate inappropriate content in those uploaded images.

In Azure AI Content Safety SDKs:

You create a ContentSafetyClient by providing the endpoint and key.

The ContentSafetyClient exposes methods such as:

AnalyzeText() → For text moderation

AnalyzeImage() → For image moderation

Let’s review the code structure:

public static void Analyze ( AnalyzeImageOptions request )

{

var endpoint = Environment.GetEnvironmentVariable( " ENDPOINT " );

var key = Environment.GetEnvironmentVariable( " KEY " );

var client = new ContentSafetyClient( new Uri(endpoint), new AzureKeyCredential(key));

return client.AnalyzeImage(request);

}

First dropdown: must be ContentSafetyClient to instantiate the correct client for Azure AI Content Safety.

Second dropdown: since the requirement is image moderation, we must call client.AnalyzeImage(request) .

Other options:

BlocklistClient → used for custom blocklists, not full moderation.

TextCategoriesAnalysis → refers to text analysis categories, not suitable here.

AnalyzeText → would be used only for text moderation.

Therefore, the correct completion is:

ContentSafetyClient

client.AnalyzeImage(request)

Correct Answer:

First dropdown: ContentSafetyClient

Second dropdown: client.AnalyzeImage(request)

Microsoft References

Azure AI Content Safety – Analyze images

Azure AI Content Safety SDK documentation

ContentSafetyClient class

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.

Correct Answer: account

Microsoft References

Azure Cosmos DB account overview

Choose the right API for Cosmos DB

Box 1: api-nam.cognitive.microsofttranslator.com

https://docs.microsoft.com/en-us/azure/cognitive-services/translator/reference/v3-0-reference

Box 2: /translate

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.

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.

Comprehensive Detailed Explanation

The screenshot shows a Bot Framework Composer dialog that collects user input:

user.name is an entity.

False.

user.name is a property in bot state (a variable), not an entity.

Entities are part of LUIS/NLU models (e.g., PersonName, DateTime).

The dialog asks for a user name and a user age and assigns appropriate values to the user.name and user.age properties.

True.

The dialog explicitly has:

A Bot Asks (Text) step → assigns user’s response to user.name .

A Bot Asks (Number) step → assigns response to user.age .

So the values are stored in those properties.

The chatbot attempts to take the first non-null entity value for userName or personName and assigns the value to user.name.

True.

On the right-hand side, the Value expression is:

=coalesce(@userName, @personName)

coalesce returns the first non-null value.

This means if userName entity is available, it is used; otherwise, personName is used.

That result is assigned to user.name .

Correct Answers:

No

Yes

Yes

Microsoft References

Bot Framework Composer - Manage variables and properties

Bot Framework Composer - Recognizers and entities

Coalesce function in Composer expressions

A data analyst

The statement is:

“________ is responsible for creating visuals and charts that help a company make informed decisions.”

Let’s analyze the options:

A data analyst

Main responsibility: interpreting data, creating visuals, dashboards, and reports using tools like Power BI, Excel, or Tableau.

Helps stakeholders make business decisions from data.

Correct answer.

A data engineer

Focuses on designing, building, and maintaining data pipelines, ETL processes, and storage systems.

Not primarily responsible for creating visuals.

A data scientist

Specializes in advanced analytics, machine learning, and statistical modeling.

They may present insights but their focus is on predictions and algorithms, not routine visuals.

A database administrator (DBA)

Responsible for managing databases, ensuring security, availability, backups, and performance.

Not responsible for creating visuals or dashboards.

Correct Answer: A data analyst

Microsoft Reference

Roles in data analytics

Microsoft Learn: Data Analyst role description — responsible for creating reports and visualizations to support decision-making.