Microsoft Microsoft Certifications AI-900 Questions & Answers

• Question 211:

  You have a natural language processing (NLP) model that was created by using data obtained without permission. Which Microsoft principle for responsible AI does this breach?

  A. reliability and safety

  B. privacy and security

  C. inclusiveness

  D. transparency

  Correct Answer: D

• Question 212:

  You have an Internet of Things (loT) device that monitors engine temperature.

  The device generates an alert if the engine temperature deviates from expected norms.

  Which type of Al workload does the device represent?

  A. natural language processing (NLP)

  B. computer vision

  C. anomaly detection

  D. knowledge mining

  Correct Answer: C

• Question 213:

  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. creating photorealistic images by using three-dimensional models

  B. assigning the color pixels in an image to object names

  C. describing the contents of an image

  D. detecting inconsistencies and anomalies in a stream of data

  E. creating visual representations of numerical data

  Correct Answer: BC

  Azure Cognitive Service for Vision is a unified service that offers innovative computer vision capabilities. Give your apps the ability to analyze images, read text, and detect faces with prebuilt image tagging, text extraction with optical character recognition (OCR), and responsible facial recognition. Incorporate vision features into your projects with no machine learning experience required.

  Azure's Computer Vision service gives you access to advanced algorithms that process images and return information based on the visual features you're interested in.

  *

  Image Analysis

  The Image Analysis service extracts many visual features from images, such as objects, faces, adult content, and auto-generated text descriptions.

  *

  OCR

  *

  Face

  *

  Spatial Analysis

  Reference:

  https://learn.microsoft.com/en-us/azure/cognitive-services/computer-vision/overview

• Question 214:

  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

  Correct Answer: B

  Microsoft Azure Form Recognizer is an automated data processing system that uses AI and OCR to quickly extract text and structure from documents. Reference: https://azure.microsoft.com/en-us/products/form-recognizer/

• Question 215:

  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

  Correct Answer: C

  Embed facial recognition into your apps for a seamless and highly secured user experience. No machine-learning expertise is required. Features include face detection that perceives facial features and attributes — such as a face mask, glasses, or face location — in an image, and identification of a person by a match to your private repository or via photo ID.

  Note: Facial recognition CCTV cameras can take images of faces they film and compare them against a predefined database of images to determine if there is a match.

  Reference: https://azure.microsoft.com/en-in/products/cognitive-services/face

• Question 216:

  Which AI service can you use to extract intent from a user input such as “Call me back later”?

  A. Azure Cognitive Search

  B. Translator

  C. Language

  D. Speech

  Correct Answer: D

  The Cognitive Services Speech SDK provides two ways to recognize intents. An intent is something the user wants to do: book a flight, check the weather, or make a call. Using intent recognition, your applications, tools, and devices can determine what the user wants to initiate or do based on options you define in the Intent Recognizer or Conversational Language Understanding (CLU) model.

  1.

  Pattern matching

  The Speech SDK provides an embedded pattern matcher that you can use to recognize intents in a very strict way. This is useful for when you need a quick offline solution. This works especially well when the user is going to be trained in

  some way or can be expected to use specific phrases to trigger intents.

  2.

  Conversational Language Understanding

  Conversational language understanding (CLU) enables users to build custom natural language understanding models to predict the overall intention of an incoming utterance and extract important information from it.

  Both a Speech resource and Language resource are required to use CLU with the Speech SDK. The Speech resource is used to transcribe the user's speech into text, and the Language resource is used to recognize the intent of the utterance.

  Reference: https://learn.microsoft.com/en-us/azure/cognitive-services/speech-service/intent-recognition

• Question 217:

  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)

  Correct Answer: B

  Object detection is similar to tagging, but the API returns the bounding box coordinates (in pixels) for each object found in the image.

  Reference: https://learn.microsoft.com/en-us/azure/cognitive-services/computer-vision/concept-object-detection

• Question 218:

  What is an example of the Microsoft responsible AI principle of transparency?

  A. ensuring that opportunities are allocated equally to all applicants

  B. helping users understand the decisions made by an AI system

  C. ensuring that developers are accountable for the solutions they create

  D. ensuring that the privileged data of users is stored in a secure manner

  Correct Answer: B

  Transparency Achieving transparency helps the team to understand the data and algorithms used to train the model, what transformation logic was applied to the data, the final model generated, and its associated assets. This information offers insights about how the model was created, which allows it to be reproduced in a transparent way.

  Each predictive value should be broken down into individual features or vectors by importance or impact and deliver thorough prediction explanations that can be exported into a business report for audit and compliance reviews, customer transparency, and business readiness.

  Transparency Notes provide our customers with information about the intended uses, capabilities, and limitations of our AI platform services.

  Reference: https://learn.microsoft.com/en-us/azure/cloud-adoption-framework/innovate/best-practices/trusted-ai https://www.microsoft.com/en-us/ai/responsible-ai

• Question 219:

  Which type of natural language processing (NLP) entity is used to identify a phone number?

  A. regular expression

  B. machine-learned

  C. list

  D. Pattern.any

  Correct Answer: C

• Question 220:

  You need to provide customers with the ability to query the status of orders by using phones, social media, or digital assistants. What should you use?

  A. an Azure Machine Learning model

  B. the Translator service

  C. a Form Recognizer model

  D. Azure Bot Service

  Correct Answer: D

  Azure Bot Service provides an integrated development environment for bot building. Its integration with Power Virtual Agents, a fully hosted low-code platform, enables developers of all technical abilities build conversational AI bots — no code needed.

  Reference: https://azure.microsoft.com/en-us/products/bot-services