AI-103 Practice Test 25 — 15 Questions

Question 1

You are migrating an existing solution from the legacy Text Analytics API v3.1 to the current Azure AI Language REST API. You notice changes in the JSON request body structure. Where should the document text array now be nested in the payload for a sentiment analysis request?

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

Accepted Answer

Nested inside an 'analysisInput' object under the root.. In the Azure AI Language API (such as version 2022-05-01 and later), documents are wrapped inside an analysis input object, specifically under 'analysisInput': { 'documents': [...] }.

Answer

Inside the HTTP header as a base64 encoded string.

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Directly under the root object as a 'documents' array.

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Nested inside a 'parameters' object.

Question 2

You are building a custom text classification solution using Azure AI Language in Language Studio. You have a dataset where each document can belong to multiple categories simultaneously (e.g., a news article can be tagged as both 'Technology' and 'Finance'). What classification type should you configure?

Accepted Answer

Multi-label classification. Multi-label classification allows a document to be associated with zero, one, or multiple classes simultaneously, whereas single-label classification restricts each document to exactly one class.

Answer

Custom named entity recognition

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Single-label classification

Answer

Extractive summarization

Question 3

Your security team discovers that an application using Azure AI Services is intermittently failing with authentication errors due to expired client secrets. You need to refactor the application to use Microsoft Entra ID workﬂows with managed identities. Which authentication library should your application code use to acquire tokens securely without embedding secrets?

Accepted Answer

Microsoft Authentication Library (MSAL). The Microsoft Authentication Library (MSAL) is the standard library used to acquire tokens from Microsoft Entra ID for managed identities or service principals.

Answer

Azure Storage Data Movement Library

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System.Net.Http WebRequestHandler

Answer

Azure SDK for .NET Management Client

Question 4

You need to determine the primary dominant colors and whether an image is predominantly black-and-white using Azure AI Vision. Which visual feature parameter provides this information?

Accepted Answer

features=color. The color feature returns dominant foreground color, background color, accent color, and whether the image is black and white.

Answer

features=denseCaptions

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features=people

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features=tags

Question 5

You are training a Custom Vision multiclass classification model for retail products. After training, you notice that the precision is high, but the recall is low for a specific product category. What does low recall indicate?

Accepted Answer

The model is missing many actual instances of that product category (high false negatives).. Low recall indicates that the model has a high false negative rate—it misses actual instances of the product category.

Answer

The training dataset had zero images for that category.

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The model is incorrectly predicting that product when it is not present (high false positives).

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The probability threshold is set too high for all classes uniformly.

Question 6

You are developing a script to query a Custom Vision prediction endpoint. Which HTTP header must be included to authenticate your request using an API key?

Accepted Answer

Prediction-Key. Custom Vision prediction and training APIs authenticate using the `Prediction-Key` or `Training-Key` header respectively (or `Ocp-Apim-Subscription-Key`).

Answer

Authorization: Bearer

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X-Auth-Token

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Vision-Api-Key

Question 7

Your company processes complex purchase orders that vary significantly in layout across different vendors. You decide to train a Custom Neural model using Azure AI Document Intelligence Studio. What is the minimum number of documents required to train a Custom Neural model?

Accepted Answer

5 documents. Azure AI Document Intelligence Custom Neural models require a minimum of 5 training documents per distinct layout to successfully train a model.

Answer

1 document

Answer

50 documents

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100 documents

Question 8

You are writing a Python script using the Azure AI Vision SDK to analyze an image from a local file path. Which client class should you instantiate first?

Accepted Answer

ImageAnalysisClient. The ImageAnalysisClient is the primary client class used in the Azure AI Vision SDK (v4.0) for image analysis tasks.

Answer

ComputerVisionClient

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VisionServiceClient

Answer

CustomVisionPredictionClient

Question 9

When creating a new project in the Custom Vision portal, you need to choose a classification type. You want to tag an image with multiple independent tags (e.g., 'outdoor', 'sunset', 'mountain'). Which classification type should you select?

Accepted Answer

Multilabel. Multilabel classification allows zero or more tags to be applied to each image independently.

Answer

Object Detection

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Binary Classification

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Multiclass

Question 10

You are deploying Custom Vision containers on-premises using Docker. Which THREE prerequisites and configuration steps are required? (Choose three.)

Accepted Answer

Ensure internet connectivity or periodic connection to Azure for billing metering.. Custom Vision containers require an Azure AI Services or Custom Vision billing endpoint/key, acceptance of the EULA, and proper Docker runtime environment variables.

Answer

Install the full Azure CLI inside every prediction container.

Answer

Grant root access to the Azure subscription billing portal from inside the container.

Question 11

You are evaluating a Custom Vision classification model. You want to programmatically test the model against a validation dataset without using the portal UI. Which endpoint should your script call?

Accepted Answer

POST /customvision/v3.3/Prediction/{projectId}/classify/iterations/{publishedName}/image. Predictions are queried via the Prediction endpoint of the Custom Vision project.

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POST /computervision/imageanalysis:analyze

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POST /customvision/v3.3/Training/{projectId}/images

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GET /vision/v3.2/models

Question 12

Your application analyzes high-resolution engineering blueprints using Azure AI Vision Read API. Users report that small text annotations are occasionally missed. How can you optimize the input image or API configuration to improve recognition of small text?

Accepted Answer

Ensure the image is submitted at full resolution without lossy compression, and verify contrast.. For high-resolution images or very small text, ensuring the image is clear and within supported size limits, or preprocessing to enhance contrast and scale, is crucial. Additionally, Image Analysis 4.0 Read handles high-res documents efficiently when passed directly.

Answer

Convert the blueprint to grayscale and reduce color depth to 1-bit monochrome.

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Switch from Read API to Tagging API.

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Downsample the image resolution to under 1000x1000 pixels before submission.

Question 13

You are building an automated asset management system that processes millions of images annually. To optimize costs and latency, you want to minimize the number of API calls while extracting tags, bounding box objects, and OCR text simultaneously. How should you structure your API request?

Accepted Answer

Include multiple comma-separated values in the features parameter, such as features=tags,objects,read.. Image Analysis 4.0 allows combining multiple features in a single API call using the 'features' query parameter.

Answer

Submit three separate asynchronous requests for tags, objects, and read.

Answer

Use the legacy Computer Vision v3.2 batch analysis endpoint.

Answer

Train a Custom Vision model to combine all three tasks.

Question 14

You are testing an image analysis application in Python. You want to retrieve object bounding boxes using Azure AI Vision 4.0. Which feature string should you pass to the client?

Accepted Answer

VisualFeatures.OBJECTS. The correct feature string for object detection in Image Analysis 4.0 is 'objects'.

Answer

VisualFeatures.TAGS

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VisualFeatures.CAPTION

Answer

VisualFeatures.READ

Question 15

You are troubleshooting an Azure AI Document Intelligence custom extraction model. When you test a new document, certain currency values are being extracted with the currency symbol missing. Where should you look in the JSON response structure to find the normalized value?

Accepted Answer

In the documentFields array under the valueCurrency object property.. Document Intelligence extracts fields with both a raw text representation and a normalized value (e.g., currency, number, date) when applicable.

Answer

In the styles collection under the isHandwritten property.

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In the paragraphs collection under the boundingRegions array.

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In the analyzeResults object under the content property.