AI-103 Practice Test 26 — 15 Questions

Question 1

Your team needs to extract data from a large volume of standardized tax forms using Azure AI Document Intelligence. The forms have a fixed layout where fields are always in the exact same location. Which model type provides the fastest training and highest accuracy for this specific use case?

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

Accepted Answer

Custom template model. Custom template models are optimized for forms with consistent visual structures and fixed layouts, requiring fewer training documents and providing high accuracy.

Answer

Prebuilt receipt model

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Custom neural model

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General document model

Question 2

You are training a Custom Vision object detection model to identify specific manufacturing defects on a production line. You have uploaded 50 images and tagged the defects. When you attempt to train the model, the training fails. What is the most likely cause?

Accepted Answer

Object detection requires a minimum of 15 tagged images per tag.. Custom Vision object detection requires a minimum of 15 images per tag for the training set.

Answer

You must have at least 5 tags defined in the project.

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You must use multi-class classification instead of object detection for manufacturing defects.

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Training images must be smaller than 256x256 pixels.

Question 3

When building a custom template model in Azure AI Document Intelligence Studio, which THREE types of data or attributes can you extract by labeling your training documents? (Choose THREE)

Accepted Answer

Tables (including row and column structures). Custom template models allow labeling fields, tables, and selection marks.

Answer

Facial biometric embeddings

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Real-time audio transcription timestamps

Question 4

You are building an automated invoice processing pipeline using Azure AI Document Intelligence. Some incoming invoices contain handwritten vendor signatures and handwritten approval dates. Which feature must you ensure is supported and enabled when configuring your analysis request?

Accepted Answer

Rely on the built-in OCR capability which detects both printed and handwritten text across supported models.. Document Intelligence automatically supports handwritten text detection, but understanding its performance implications on custom or prebuilt models is crucial for accuracy.

Answer

Enable the 'handwritten=true' query parameter in the API call header.

Answer

Train a custom neural model exclusively with handwritten signature samples.

Answer

Deploy a separate Azure AI Vision Handwritten Text container and pipe its output into the Document Intelligence request.

Question 5

Which THREE fields are typically returned by the prebuilt-receipt model?

Accepted Answer

MerchantName. The prebuilt-receipt model extracts MerchantName, TransactionDate, and Total, among others.

Answer

EmployeeID

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PatientName

Question 6

Your development team is building a global customer support portal. Incoming tickets arrive in dozens of different languages. You need to automatically route tickets to the correct regional team based on the language of the ticket text. Which Azure AI Language feature should you call?

Accepted Answer

Language detection. Language detection evaluates text input and returns the detected language and a confidence score for each document provided, making it ideal for routing workflows.

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Sentiment analysis

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Named Entity Recognition (NER)

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Key phrase extraction

Question 7

You are creating a Language resource in the Azure portal. Which blade should you navigate to if you need to retrieve your endpoint URL and subscription keys for your application configuration?

Accepted Answer

Keys and Endpoint. The 'Keys and Endpoint' blade in the Azure portal displays the API keys and endpoint URL required to connect your application to the Azure AI Language service.

Answer

Diagnostic settings

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Pricing tier

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Access control (IAM)

Question 8

You need to evaluate customer reviews to determine whether the overall tone is positive, negative, or neutral. Which Azure AI Language feature should you use?

Accepted Answer

Sentiment analysis. Sentiment analysis provides sentiment labels (positive, negative, neutral) and confidence scores at both the document and sentence levels.

Answer

Language detection

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Named Entity Recognition

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Key phrase extraction

Question 9

You are configuring custom named entity recognition in Language Studio. Which TWO types of entity components can you configure when defining custom entities? (Choose two.)

Accepted Answer

Regex component. Custom NER projects support Learned entity components (trained from labeled data) and Regex or List components for exact pattern or dictionary matching.

Answer

Quantum computation component

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Neural speech synthesis component

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Optical character recognition component

Question 10

You are configuring an Azure AI Language resource. Which TWO pricing tiers are available for provisioning the resource in the Azure portal? (Choose two.)

Accepted Answer

Standard (S). Azure AI Language offers the Free (F0) and Standard (S) pricing tiers.

Answer

Unlimited (U1)

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Developer (DEV)

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Enterprise (E1)

Question 11

You are troubleshooting a Custom Vision object detection model that has low precision and high false-positive rates for a specific object class. During data analysis, you notice that negative images (images without the object) lack background variety. What is the recommended remediation step?

Accepted Answer

Add diverse negative images containing background environments similar to where false positives occur.. Adding more diverse negative images that resemble difficult backgrounds helps the model distinguish the target object from confusing background elements.

Answer

Increase the probability threshold in the prediction API call.

Answer

Remove all tagged bounding boxes and retrain as a multi-class classification model.

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Apply aggressive data augmentation to duplicate existing positive images.

Question 12

You are configuring a secure enterprise architecture where Azure AI Vision calls must not traverse the public internet. You create a private endpoint for your Azure AI Services resource in your Virtual Network. Which DNS configuration step is required for client applications within the VNet to resolve the private endpoint correctly?

Accepted Answer

Configure Azure Private DNS zones corresponding to the cognitive services DNS zone and link it to your VNet.. When configuring private endpoints for Azure AI Services, you must update or create Private DNS zones (e.g., `privatelink.cognitiveservices.azure.com`) to map the resource FQDN to the private IP address.

Answer

Add the endpoint IP to the local hosts file of every Azure AI Vision instance.

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Configure public DNS records on your corporate DNS server to point to the public IP.

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Modify the routing table to drop all DNS traffic.

Question 13

You are analyzing multi-language documents containing mixed English and Japanese text using Azure AI Vision Read API. How should you specify the language parameter to ensure optimal OCR accuracy?

Accepted Answer

Omit the language parameter or set language=unk to enable automatic language detection across supported languages.. The Read API supports automatic language detection, but you can also specify the `language` parameter or rely on auto-detection for multilingual documents.

Answer

Use the legacy OCR v3.0 endpoint with multi-language flag.

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You must submit English and Japanese pages separately in distinct API calls.

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Set language=en-US exclusively.

Question 14

You are analyzing performance metrics of a Custom Vision object detection iteration. You observe a Mean Average Precision (mAP) of 88%, but when testing with real-world user photos, the model fails to detect objects that are partially occluded. What should you do to improve occlusion handling?

Accepted Answer

Add training images containing partially occluded objects and ensure they are correctly tagged.. To improve detection of occluded objects, you must include training images that feature partially blocked or occluded instances of the target objects.

Answer

Switch from General domain to Food domain.

Answer

Lower the confidence threshold to 0.01.

Answer

Increase image compression artifacts.

Question 15

You are designing an edge solution where a Custom Vision exported model runs inside a Linux container on an IoT Edge device without internet connectivity. How must you configure billing for the container?

Accepted Answer

Provide the container with a billing endpoint URL and API key, and ensure periodic connectivity to Azure to report billing metrics.. Custom Vision and cognitive services containers running disconnected or on edge devices require a billing endpoint and API key, but for fully offline scenarios without cloud connectivity, commitment tiers or specific edge billing configurations (such as cloud reporting when connected periodically) apply. However, containers generally require connection to report billing unless configured with specific volume mount billing mechanisms supported by Azure.

Answer

Use Custom Vision Training API keys for container runtime billing.

Answer

Purchase an Azure Storage account to store offline billing logs locally.

Answer

Deploy the container with no environment variables; billing is handled automatically by IoT Hub.