AI-102 Implement computer vision solutions Practice Test 10 — 15 Questions

Question 1

You are developing an app that analyzes images of restaurant receipts. The app must extract the merchant name, transaction date, and total amount from each receipt. You want to minimize development effort and use a prebuilt Azure AI service. Which service should you use?

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

Accepted Answer

Azure AI Document Intelligence with the prebuilt-receipt model. Azure AI Document Intelligence provides a prebuilt receipt model that is purpose-built to extract merchant name, transaction date, and total from receipt images. It returns structured data without requiring custom model training or text parsing, which aligns with the goal of minimizing development effort. Other services either return unstructured text or require custom training.

Answer

Azure AI Language with custom named entity recognition

Answer

Azure AI Vision with the Read API

Answer

Azure AI Custom Vision with a classification model

Question 2

You are building a web application that lets users upload photos of restaurant menus and receive the extracted text. The menus are often photographed at an angle, with uneven lighting and background clutter. You need an Azure AI Vision capability that returns text lines and words with bounding boxes, and you want to minimize development effort. Which Azure AI Vision feature should you use?

Accepted Answer

Azure AI Vision OCR (Read) API. The Read API in Azure AI Vision is purpose-built for OCR and returns text lines and words with bounding boxes, making it ideal for extracting menu content from photos. It handles real-world conditions like skew and clutter. The other services either return high-level labels, detect objects, or analyze faces, none of which extract the literal text required by the application.

Answer

Azure AI Custom Vision object detection model

Answer

Azure AI Vision Image Analysis with the Tags feature

Answer

Azure AI Face API with the OCR attribute enabled

Question 3

You are developing an application that uses Azure AI Vision to analyze images of products on an assembly line. The application must identify the presence of specific objects, such as screws, bolts, and washers, and return their bounding boxes. You have a limited set of labeled images for each object type. Which Azure service should you use to train a model that meets these requirements?

Accepted Answer

Azure Custom Vision object detection. Azure Custom Vision object detection is the correct service because it enables you to train a custom model using your labeled images to detect specific objects and return bounding boxes. It is designed for scenarios where you need to identify custom objects with a limited dataset.

Answer

Azure AI Vision Face API

Answer

Azure AI Vision Image Analysis with the 'objects' feature

Answer

Azure Video Indexer

Question 4

You are building an Azure AI Vision solution that analyzes live video from a camera mounted on a delivery truck. The solution must read street signs in real time and return the recognized text with bounding box coordinates. You need to minimize latency and cost. Which Azure AI Vision feature should you use?

Accepted Answer

Optical character recognition (OCR) synchronous API. The synchronous OCR API is the correct choice because it extracts printed text with bounding boxes in a single call, which suits low-latency, real-time video frame analysis. The Read API and Document Intelligence are better for documents and asynchronous processing, and Custom Vision detects objects rather than reading text. Using synchronous OCR minimizes latency and cost for live street sign recognition.

Answer

Azure AI Document Intelligence prebuilt-read model

Answer

Custom Vision object detection model

Answer

Read API with asynchronous processing

Question 5

A security company uses Azure AI Face API to analyze surveillance footage. They need to detect faces in low-light images and obtain face bounding boxes, but they do not need to identify individuals. They also want to minimize cost and avoid unnecessary features. Which Face API operation should they call?

Accepted Answer

Face - Detect with returnFaceId=false and returnFaceLandmarks=false. To detect faces without identification, the Face - Detect operation should be called with returnFaceId and returnFaceLandmarks set to false. This returns bounding boxes and avoids the cost of generating face IDs. Identify and Verify are for matching or comparing identities, which are not needed here, and enabling face IDs or landmarks adds unnecessary expense.

Answer

Face - Detect with returnFaceId=true and returnFaceLandmarks=true

Answer

Face - Verify with two face IDs

Answer

Face - Identify with a person group

Question 6

A company uses Azure AI Vision Image Analysis to generate captions for product photos. The solution must return a caption in English and a confidence score for each image. You call the Image Analysis API with the caption feature. The response does not include a confidence score. What should you do to obtain confidence scores for the captions?

Accepted Answer

Use the older Computer Vision v3.2 Analyze Image API with the 'description' visual feature.. The legacy Computer Vision v3.2 Analyze Image API with the description feature returns a caption and a confidence score, which the newer Image Analysis 4.0 caption feature does not. To obtain confidence scores for captions, you must use the older API version. Other options either use features that lack confidence scores or rely on invalid parameters or workarounds that cannot produce a true confidence value.

Answer

Call the Image Analysis API twice and compare the captions to derive a confidence score.

Answer

Use the denseCaptions feature instead of captions.

Answer

Set the language parameter to 'en' and include the 'confidence' query parameter.

Question 7

You are designing a solution that uses Azure AI Vision to analyze images uploaded by users. You need to extract text and also generate a descriptive caption for each image. You want to use the Image Analysis API. Which two capabilities should you enable? (Choose two.)

Accepted Answer

Read. The Read capability extracts text, and the Caption capability generates a descriptive sentence for the image. Together they satisfy both requirements. Tags, Objects, and Brands provide different types of analysis that are not needed here. Enabling Read and Caption allows a single API call to return both OCR results and a caption, streamlining the solution.

Answer

Tags

Answer

Brands

Answer

Objects

Question 8

A company needs to identify and tag products on store shelves using a custom model. They have a large dataset of labeled images with bounding boxes around each product. They want to train a model that can detect multiple products in new images and return their locations. Which Azure service should they use?

Accepted Answer

Azure AI Custom Vision, using the Object Detection project type. Custom Vision Object Detection is designed for scenarios where you need to detect and locate multiple instances of objects within an image. It uses labeled bounding boxes to train a model that predicts both class labels and bounding box coordinates. Classification, prebuilt Vision models, and Face detection do not provide the required custom object detection with location.

Answer

Azure AI Face, using the face detection feature

Answer

Azure AI Vision, using the prebuilt object detection model

Answer

Azure AI Custom Vision, using the Classification project type

Question 9

You are designing an Azure AI Vision solution that must detect and extract text from identity documents such as passports and driver's licenses. The solution must also identify the document type and extract key fields like name and date of birth. You need to choose the appropriate Azure AI service and features. (Choose two.)

Accepted Answer

Azure AI Document Intelligence with the prebuilt-idDocument model. The prebuilt-idDocument model in Azure AI Document Intelligence is specifically designed to analyze identity documents and extract fields like name and date of birth. A custom extraction model in the same service can also be trained to extract custom fields and classify document types when prebuilt models are insufficient. The Read API and Image Analysis read feature only extract text without structured field extraction, and the prebuilt-receipt model is for receipts, not identity documents.

Answer

Azure AI Vision Read API

Answer

Azure AI Vision Image Analysis with the read feature

Answer

Azure AI Document Intelligence with the prebuilt-receipt model

Question 10

A developer needs to build a mobile app that identifies dog breeds from photos. They have a small dataset of labeled images and want to train a custom model with minimal machine learning expertise. Which Azure service should they use?

Accepted Answer

Azure AI Custom Vision. Custom Vision is designed for custom image classification and object detection with minimal ML expertise. It supports training on small datasets and provides a user-friendly interface. The other services either require more ML knowledge, offer only prebuilt models, or are for a different domain entirely. Custom Vision directly meets the need to identify dog breeds from photos.

Answer

Azure AI Vision Image Analysis

Answer

Azure AI Face API

Answer

Azure Machine Learning designer

Question 11

You are building a web app that allows users to upload images and receive a list of content tags, such as 'outdoor', 'tree', and 'person'. You want to use a prebuilt Azure AI service and minimize custom development. Which service should you use?

Accepted Answer

Azure AI Vision, using the Image Analysis API with the Tags visual feature. Azure AI Vision's Image Analysis API includes a Tags feature that returns content tags for an image without any custom training. This prebuilt capability directly satisfies the need for a list of tags such as 'outdoor', 'tree', and 'person'. Other services either require custom training, operate on text, or are document-focused.

Answer

Azure AI Document Intelligence, using the prebuilt-read model

Answer

Azure AI Custom Vision, using a classification model

Answer

Azure AI Language, using key phrase extraction

Question 12

A media company needs to automatically generate descriptive captions for thousands of archived photographs stored in Azure Blob Storage. The solution must be fully managed and require no model training. Which Azure AI Vision capability should they use?

Accepted Answer

Image captioning in Azure AI Vision. Image captioning in Azure AI Vision is a prebuilt feature that generates natural language descriptions for images without any training. The media company can process each stored photograph and receive a caption, directly meeting the scenario's need for automated, managed captioning. Other options either require training, target documents, or focus only on faces, so they do not provide the required broad image description.

Answer

Custom Vision classification model

Answer

Face API person identification

Answer

Azure AI Document Intelligence prebuilt receipt model

Question 13

A company uses Azure AI Vision to extract text from scanned invoices. They need to preserve the layout information, such as tables and key-value pairs, to automate data entry. Which Azure service should they use?

Accepted Answer

Azure AI Document Intelligence (formerly Form Recognizer). Document Intelligence provides prebuilt invoice models that extract text, tables, and key-value pairs while preserving layout. The Read API only returns text lines, and Custom Vision and Face API are for different domains. For automating data entry from invoices with tables, Document Intelligence is the appropriate service.

Answer

Azure AI Face API

Answer

Azure AI Custom Vision

Answer

Azure AI Vision Read API

Question 14

A developer is building an Azure AI Vision solution that must detect and locate multiple objects in an image, such as cars, people, and traffic lights. The solution must return bounding boxes for each detected object. Which Azure AI Vision capability should the developer use?

Accepted Answer

Object detection. Object detection is the correct capability because it identifies and localizes multiple objects in an image, returning bounding boxes and labels for each. Image classification only labels the whole image, OCR extracts text, and face detection is limited to faces. For detecting cars, people, and traffic lights with bounding boxes, object detection is the appropriate Azure AI Vision feature.

Answer

Image classification

Answer

Optical character recognition (OCR)

Answer

Face detection

Question 15

A security firm wants to analyze live video from cameras at a warehouse gate to count the number of people entering and leaving. They require a ready-to-use service that provides a real-time count and does not require training a custom model. Which Azure AI service should they use?

Accepted Answer

Azure AI Vision Spatial Analysis. The security firm needs a ready-to-use service for real-time people counting from live video. Azure AI Vision Spatial Analysis is purpose-built for this scenario, offering pre-trained models that analyze RTSP streams and count people crossing lines or zones without custom training. Other services either focus on static images or require significant custom development, making them unsuitable for immediate deployment.

Answer

Azure AI Custom Vision

Answer

Azure AI Face

Answer

Azure Video Indexer