AI-103 Practice Test 29 — 15 Questions

Question 1

You are training a custom template model in Azure AI Document Intelligence and notice that one of your key fields is consistently failing to extract on documents where the label text is vertically oriented. How should you address this issue?

Choose an answer to begin — your selection is scored in the full session.

Accepted Answer

Re-examine and ensure all instances of the field across training samples are accurately tagged with correct bounding regions in Document Intelligence Studio.. Document Intelligence supports reading text at various orientations, but custom template models rely on consistent visual labeling. Ensuring the labeling captures the correct bounding regions and retraining helps resolve orientation issues.

Answer

Switch the model type from custom template to prebuilt read model.

Answer

Set the queryParameters property to 'orientation=vertical' in the training API request body.

Answer

Rotate the source PDF documents to landscape orientation prior to uploading them for training.

Question 2

You are developing an application to extract specific fields from invoices using Azure AI Document Intelligence. Which prebuilt model should you use for this task?

Accepted Answer

prebuilt-invoice. The 'prebuilt-invoice' model is specifically designed to extract key-value pairs and line items from invoices.

Answer

custom-template

Answer

prebuilt-layout

Answer

prebuilt-document

Question 3

You are processing medical intake forms using Azure AI Language. You need to identify and categorize medical terms, medications, and dosages. Which feature should you use?

Accepted Answer

Health text analytics. The health text analytics feature (part of Azure AI Language) extracts medical entities and relations specifically tailored for healthcare domains.

Answer

Key phrase extraction

Answer

Standard Named Entity Recognition (NER)

Answer

Custom text classification

Question 4

You are integrating Azure AI Document Intelligence into a web application. You call the analyzeDocument API and receive a 202 Accepted response. What is the correct pattern for your application to retrieve the final extraction results?

Accepted Answer

Poll the URL provided in the Operation-Location response header until the status returns 'succeeded', then fetch the results.. Document Intelligence analysis is an asynchronous operation. You must poll the Operation-Location URL returned in the response header until the status is succeeded.

Answer

Wait for exactly 60 seconds and then send a GET request to the original analyze endpoint.

Answer

Immediately parse the response body of the 202 Accepted response for the extracted JSON data.

Answer

Open a WebSocket connection to the streaming endpoint specified in the WebSocket-Location header.

Question 5

You are provisioning an Azure AI Language resource through the Azure CLI. You need to specify the resource kind parameter. Which value should you provide for a general text analysis resource?

Accepted Answer

TextAnalytics. When provisioning via CLI or ARM templates, the kind for Azure AI Language is 'TextAnalytics'.

Answer

LanguageService

Answer

TextUnderstanding

Answer

CognitiveServices

Question 6

You are configuring text summarization using the Azure AI Language REST API. You need to generate a summary that consists of a few distinct sentences pulled directly from the source document without altering their wording. Which summarization kind should you specify?

Accepted Answer

Extractive summarization. Extractive summarization extracts sentences that collectively capture the most important context from the source document without rewriting them.

Answer

Key phrase extraction

Answer

Abstractive summarization

Answer

Custom single-label classification

Question 7

You are designing a solution that processes user reviews. You want to extract key terms such as 'battery life', 'screen quality', and 'customer service' from the text. Which Azure AI Language feature is best suited for this?

Accepted Answer

Key phrase extraction. Key phrase extraction extracts the most important terms and phrases from input documents.

Answer

Sentiment analysis

Answer

PII detection

Answer

Language detection

Question 8

You are exploring Azure AI Language features. Which TWO tasks can be accomplished using prebuilt named entity recognition (NER)? (Choose two.)

Accepted Answer

Extracting person names from text. Prebuilt NER recognizes standard entities such as dates, times, people, and locations.

Answer

Detecting the written language of a document

Answer

Redacting credit card numbers for security

Answer

Classifying entire documents into custom business categories

Question 9

You are deploying a custom text classification model using Azure AI Language. The model undergoes frequent retraining as new business data arrives. You need to establish a model versioning strategy that allows zero-downtime client updates while ensuring seamless rollback capability if regression occurs. What is the recommended architectural approach?

Accepted Answer

Deploy each model version with a unique deployment name and update the application client configuration or routing rules to shift traffic progressively.. Deploying models with distinct version identifiers and updating the endpoint configuration or using deployment slots/version tags allows routing traffic dynamically.

Answer

Delete the original resource before deploying the updated model version.

Answer

Overwrite the existing model artifact in place with the new training run using the exact same name.

Answer

Create a completely new Azure AI resource in a different subscription for every single model iteration.

Question 10

You are optimizing an enterprise RAG application in Azure AI Foundry for high accuracy and minimal latency. Which THREE advanced retrieval techniques should you consider implementing? (Choose THREE)

Accepted Answer

Semantic ranking to re-rank top search results using deep learning models. Hybrid search, semantic ranking, and query expansion/rewriting are advanced retrieval optimization techniques in Azure AI Search.

Answer

Using random sentence selection without indexing

Answer

Disabling vector search entirely to rely solely on random string matching

Question 11

You are designing an agentic workflow in Azure AI Foundry that needs to perform multiple tasks sequentially. Which THREE components are essential for defining the orchestration logic?

Accepted Answer

Prompt flow. Prompt flows, tool definitions, and control flow nodes are standard in Azure AI Foundry agent orchestration.

Answer

Azure Data Factory

Answer

Azure Logic Apps integration

Question 12

You are managing an enterprise Azure AI Search deployment. During an audit, you notice that index data is encrypted at rest using Microsoft-managed keys. Management mandates that you switch to customer-managed keys (CMK) stored in Azure Key Vault immediately without losing index data or rebuilding the service. How should you implement this?

Accepted Answer

Configure encryption with customer-managed keys in the Azure portal on the existing search service instance and assign necessary Key Vault access permissions.. Azure AI Search supports updating an existing service to use customer-managed keys by configuring Key Vault integration on the existing service instance.

Answer

Delete the search service and provision a brand new one with CMK enabled from inception.

Answer

Modify the DNS records to point to a new CMK-encrypted endpoint.

Answer

Run an Azure Automation runbook that exports indices to blob storage, deletes the service, and restores it.

Question 13

You are reviewing the Azure Cost Management dashboard to analyze spending on Azure AI services. Which grouping option allows you to see costs broken down by specific resource names?

Accepted Answer

Resource. Grouping by 'Resource' in Azure Cost Management displays costs associated with each individual resource instance.

Answer

Resource type

Answer

Meter category

Answer

Location

Question 14

Which TWO prebuilt models are officially available in Azure AI Document Intelligence for extracting specialized domain data? (Choose TWO)

Accepted Answer

prebuilt-tax.us.w2. Azure AI Document Intelligence provides prebuilt models for W-2 tax forms and invoices, among others.

Answer

prebuilt-socialSecurityCard

Answer

prebuilt-architecturalDrawing

Answer

prebuilt-medicalChart

Question 15

You need to secure the communication between your app and Document Intelligence using a private endpoint. What is the primary benefit?

Accepted Answer

Traffic stays within the Azure private network. Private endpoints ensure traffic flows over the private Azure backbone network, avoiding the public internet.

Answer

Reduced cost

Answer

Faster inference speeds

Answer

Increased throughput limits