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Free Microsoft AI-900 Exam Braindumps (page: 9)

Page 9 of 70
PDF with 273 Questions

You have an Internet of Things (IoT) device that monitors engine temperature.
The device generates an alert if the engine temperature deviates from expected norms. Which type of AI workload does the device represent?

  1. knowledge mining
  2. computer vision
  3. natural language processing (NLP)
  4. anomaly detection

Answer(s): D

Explanation:

Anomaly Detector is an AI service with a set of APIs, which enables you to monitor and detect anomalies in your time series data with little machine learning (ML) knowledge, either batch validation or real-time inference.
Anomaly Detector capabilities
With Anomaly Detector, you can either detect anomalies in one variable using Univariate Anomaly Detector, or detect anomalies in multiple variables with Multivariate Anomaly Detector.
Univariate Anomaly Detection
Detect anomalies in one variable, like revenue, cost, etc. The model was selected automatically based on your data pattern.
Multivariate Anomaly Detection
Detect anomalies in multiple variables with correlations, which are usually gathered from equipment or other complex system. The underlying model used is a Graph Attention Network.


Reference:

https://learn.microsoft.com/en-us/azure/ai-services/anomaly-detector/overview



Which service should you use to extract text, key/value pairs, and table data automatically from scanned documents?

  1. Azure AI Face
  2. Azure AI Language
  3. Azure AI Document Intelligence
  4. Azure AI Custom Vision

Answer(s): C

Explanation:

Correct:
* Azure AI Document Intelligence (best answer)
Form Recognizer (old, replaced by Azure AI Document Intelligence)
Incorrect:
* Azure AI Custom Vision
* Azure AI Language
* Custom Vision
* Azure AI Face
Text Analytics
Note:
Azure AI Document Intelligence
AI Document Intelligence is an AI service that applies advanced machine learning to extract text, key-value pairs, tables, and structures from documents automatically and accurately. Turn documents into usable data and shift your focus to acting on information rather than compiling it. Start with prebuilt models or create custom models tailored to your documents both on premises and in the cloud with the AI Document Intelligence studio or SDK.
Form Recognizer
Accelerate your business processes by automating information extraction. Form Recognizer applies advanced machine learning to accurately extract text, key/value pairs, and tables from documents. With just a few samples, Form Recognizer tailors its understanding to your documents, both on-premises and in the cloud.
Turn forms into usable data at a fraction of the time and cost, so you can focus more time acting on the information rather than compiling it.


Reference:

https://azure.microsoft.com/en-us/products/ai-services/ai-document-intelligence



You have an Azure Machine Learning pipeline that contains a Split Data module. The Split Data module outputs to a Train Model module and a Score Model module. What is the function of the Split Data module?

  1. scaling numeric variables so that they are within a consistent numeric range
  2. creating training and validation datasets
  3. diverting records that have missing data
  4. selecting columns that must be included in the model

Answer(s): B



Which statement is an example of a Microsoft responsible AI principle?

  1. AI systems must use only publicly available data.
  2. AI systems must be understandable.
  3. AI systems must keep personal details public.
  4. AI systems must protect the interests of the company.

Answer(s): B



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