Here you have the best Microsoft AI-100 practice exam questions
HOTSPOT -
You are designing an application to parse images of business forms and upload the data to a database. The upload process will occur once a week.
You need to recommend which services to use for the application. The solution must minimize infrastructure costs.
Which services should you recommend? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Hot Area:
Box 1: Azure Cognitive Services -
Azure Cognitive Services include image-processing algorithms to smartly identify, caption, index, and moderate your pictures and videos.
Not: Azure Linguistic Analytics API, which provides advanced natural language processing over raw text.
Box 2: Azure Data Factory -
The Azure Data Factory (ADF) is a service designed to allow developers to integrate disparate data sources. It is a platform somewhat like SSIS in the cloud to manage the data you have both on-prem and in the cloud.
It provides access to on-premises data in SQL Server and cloud data in Azure Storage (Blob and Tables) and Azure SQL Database.
Reference:
https://azure.microsoft.com/en-us/services/cognitive-services/ https://www.jamesserra.com/archive/2014/11/what-is-azure-data-factory/
HOTSPOT -
You plan to deploy an Azure Data Factory pipeline that will perform the following:
✑ Move data from on-premises to the cloud.
✑ Consume Azure Cognitive Services APIs.
You need to recommend which technologies the pipeline should use. The solution must minimize custom code.
What should you include in the recommendation? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Hot Area:
Box 1: Self-hosted Integration Runtime
A self-hosted IR is capable of running copy activity between a cloud data stores and a data store in private network.
Not Azure-SSIS Integration Runtime, as you would need to write custom code.
Box 2: Azure Logic Apps -
Azure Logic Apps helps you orchestrate and integrate different services by providing 100+ ready-to-use connectors, ranging from on-premises SQL Server or SAP to Microsoft Cognitive Services.
Incorrect:
Not Azure API Management: Use Azure API Management as a turnkey solution for publishing APIs to external and internal customers.
References:
https://docs.microsoft.com/en-us/azure/data-factory/concepts-integration-runtime https://docs.microsoft.com/en-us/azure/logic-apps/logic-apps-examples-and-scenarios
HOTSPOT -
You need to build an interactive website that will accept uploaded images, and then ask a series of predefined questions based on each image.
Which services should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Hot Area:
Box 1: Azure Bot Service -
Box 2: Computer Vision -
The Computer Vision Analyze an image feature, returns information about visual content found in an image. Use tagging, domain-specific models, and descriptions in four languages to identify content and label it with confidence. Use Object Detection to get location of thousands of objects within an image. Apply the adult/racy settings to help you detect potential adult content. Identify image types and color schemes in pictures.
References:
https://azure.microsoft.com/en-us/services/cognitive-services/computer-vision/
You are designing an AI solution that will analyze millions of pictures.
You need to recommend a solution for storing the pictures. The solution must minimize costs.
Which storage solution should you recommend?
Azure Blob storage is the best choice for storing millions of pictures while minimizing costs. Blob storage is designed for storing large amounts of unstructured data like images and offers various pricing tiers depending on access patterns (hot, cool, or archive). This allows for cost optimization based on how frequently the data needs to be accessed. It is generally more cost-effective compared to Azure Data Lake, which includes additional features not necessary for simple storage purposes. Azure File Storage and Table storage are not optimized for storing large volumes of unstructured data like images.
You are configuring data persistence for a Microsoft Bot Framework application. The application requires a structured NoSQL cloud data store.
You need to identify a storage solution for the application. The solution must minimize costs.
What should you identify?
Azure Table storage is a suitable solution for a structured NoSQL cloud data store that aims to minimize costs. It is a schemaless key/attribute store designed for large amounts of structured, non-relational data. This service is cost-effective as you only pay for the capacity that you use, making it ideal for applications where budget constraints are a significant consideration. Azure Blob storage, while useful for storing unstructured data, does not meet the requirement for a structured NoSQL store. Azure HDInsight is primarily for big data analytics and not optimized for the described use case. Azure Cosmos DB, although advanced and feature-rich with global distribution and low-latency SLAs, tends to be more costly due to its guaranteed performance and reserved capacity pricing model. Therefore, Azure Table storage is the most appropriate and economical choice here.