Which Azure Cognitive Services service can be used to identify documents that contain sensitive information?
A. Custom Vision
B. Conversational Language Understanding
C. Form Recognizer
Show Answer
Correct Answer: C
Explanation: Form Recognizer (now called Azure AI Document Intelligence) is designed to analyze documents, extract text, key-value pairs, and structured data, and can be used to identify sensitive information such as PII within documents. The other options focus on images (Custom Vision) or conversational text and intents (Conversational Language Understanding), not document analysis.
Question 15
You have a solution that reads manuscripts in different languages and categorizes the manuscripts based on topic.
Which types of natural language processing (NLP) workloads does the solution use?
A. speech recognition and entity recognition
B. speech recognition and language modeling
C. translation and key phrase extraction
D. translation and sentiment analysis
Show Answer
Correct Answer: C
Explanation: The solution processes manuscripts (text) in different languages, which requires translation. Categorizing manuscripts by topic involves extracting key themes or topics from the text, which aligns with key phrase extraction. Speech recognition is not applicable because the input is not audio, and sentiment analysis is not required for topic categorization.
Question 16
You have an app that identifies the coordinates of a product in an image of a supermarket shelf.
Which service does the app use?
A. Custom Vision classification
B. Custom Vision object detection
C. Computer Vision Read
D. Computer Vision optical character recognition (OCR)
Show Answer
Correct Answer: B
Explanation: The app needs to locate a product within an image and return its coordinates. This requires identifying objects and providing bounding boxes. Custom Vision object detection is designed for this purpose, returning the object class, confidence score, and bounding box coordinates. Classification does not return location data, and Computer Vision Read/OCR focus on text, not product objects.
Question 17
You have a security system that analyzes images from CCTV to provide authorized staff entry into restricted area.
Which type of computer vision does the system use?
A. optical character recognition (OCR)
B. semantic segmentation
C. facial detection and facial recognition
D. image analysis
Show Answer
Correct Answer: C
Explanation: The system analyzes CCTV images to identify and verify individuals before granting access. This requires detecting faces in images and recognizing whether they belong to authorized staff, which is exactly facial detection combined with facial recognition. OCR deals with text, semantic segmentation labels pixels by class, and the term image analysis is too broad and nonspecific.
Question 18
You are building a tool that will process images from retail stores and identify the products of competitors.
The solution must be trained on images provided by your company.
Which Azure AI service should you use?
A. Form Recognizer
B. Custom Vision
C. Face
D. Computer Vision
Show Answer
Correct Answer: B
Explanation: The requirement is to identify competitor products using images and to train the model on images provided by your company. Azure Custom Vision is designed for building and training custom image classification or object detection models using your own labeled images. The other options are either pre-trained services (Computer Vision), document-focused (Form Recognizer), or face-specific (Face) and do not meet the custom training requirement.
Question 19
A smart device that responds to the question “What is the stock price of Contoso. Ltd.?” is an example of which AI workload?
A. knowledge mining
B. natural language processing
C. computer vision
D. anomaly detection
Show Answer
Correct Answer: B
Explanation: The device must understand a question expressed in human language and generate an appropriate response. This ability to interpret and respond to natural language queries is the core of natural language processing (NLP). The other options focus on visual data (computer vision), extracting insights from large unstructured datasets (knowledge mining), or detecting unusual patterns in data (anomaly detection), none of which best fit this scenario.
Question 20
You have a bot that identifies the brand names of products in images of supermarket shelves.
Which service does the bot use?
A. AI enrichment for Azure Search capabilities
B. Computer Vision Image Analysis capabilities
C. Custom Vision Image Classification capabilities
D. Language Understanding capabilities
Show Answer
Correct Answer: B
Explanation: Identifying brand names/logos in images is a built-in capability of Azure Computer Vision Image Analysis via brand (logo) detection. It uses Microsoft’s pre-trained models to recognize many common consumer brands without requiring custom training. Custom Vision would only be needed if you must train a model for brands not covered by the built-in service.
Question 21
You need to identify street names based on street signs in photographs.
Which type of computer vision should you use?
A. object detection
B. optical character recognition (OCR)
C. image classification
D. facial recognition
Show Answer
Correct Answer: B
Explanation: The task is to identify street names from photographs of street signs, which requires reading and extracting text from images. Optical Character Recognition (OCR) is specifically designed for recognizing and converting text within images into readable characters. Object detection could locate the sign but cannot read the text, image classification only assigns labels to images, and facial recognition is unrelated.
Question 22
For which two workloads can you use computer vision? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
A. assigning the color pixels in an image to object names
B. detecting inconsistencies and anomalies in a stream of data
C. creating visual representations of numerical data
D. creating photorealistic images by using three-dimensional models
E. describing the contents of an image
Show Answer
Correct Answer: A, E
Explanation: Computer vision focuses on analyzing and understanding visual content in images or video. Option A refers to semantic segmentation or object labeling, where pixels are assigned to object classes, which is a core computer vision task. Option E involves describing the contents of an image (image captioning, tagging, object detection), also a standard computer vision workload. The other options relate to anomaly detection, data visualization, or image generation, which are not computer vision workloads.
Question 23
You need to convert receipts into transactions in a spreadsheet. The spreadsheet must include the date of the transaction, the merchant, the total spent, and any taxes paid.
Which Azure AI service should you use?
A. Custom Vision
B. Form Recognizer
C. Face
D. Language
Show Answer
Correct Answer: B
Explanation: Form Recognizer (now called Azure AI Document Intelligence) is designed to extract structured data such as dates, merchant names, totals, and taxes from receipts and documents, which fits the requirement of converting receipts into spreadsheet transactions.
$19
Get all 230 questions with detailed answers and explanations
Instant download HTML + PDF delivered the moment payment clears.
Secure Stripe checkout we never see or store your card details.
7-day refund if files are defective see our refund policy.