AI-100 Free Questions – Designing and Implementing an Azure AI V9.02

Newly released AI-100 exam questions V9.02 to ensure that you can pass AI-100 Designing and Implementing an Azure AI exam. Microsoft AI-100 exam is for Microsoft Certified: Azure AI Engineer Associate certification. Azure AI Engineers use Cognitive Services, Machine Learning, and Knowledge Mining to architect and implement Microsoft AI solutions involving natural language processing, speech, computer vision, bots, and agents. Before getting AI-100 exam questions and answers full version, please check AI-100 free questions online first.

AI-100 Free Questions – Designing and Implementing an Azure AI V9.02

1. You are designing an AI application that will use an azure Machine Learning Studio experiment.
The source data contains more than 200 TB of relational tables. The experiment will run once a month. You need to identify a data storage solution for the application. The solution must minimize compute costs.
Which data storage solution should you identify?

 
 
 

2. You have a database that contains sales data.
You plan to process the sales data by using two data streams named Stream1 and Stream2. Stream1 will be used for purchase order data. Stream2 will be used for reference data.
The reference data is stored in CSV files.
You need to recommend an ingestion solution for each data stream.
What two solutions should you recommend? Each correct answer is a complete solution. NOTE: Each correct selection is worth one point.

 
 
 
 
 

3. You are developing a Computer Vision application.
You plan to use a workflow that will load data from an on-premises database to Azure Blob storage, and then connect to an Azure Machine Learning service.
What should you use to orchestrate the workflow?

 
 
 
 

4. Your company has a data team of Transact-SQL experts.
You plan to ingest data from multiple sources into Azure Event Hubs.
You need to recommend which technology the data team should use to move and query data from Event Hubs to Azure Storage. The solution must leverage the data team’s existing skills.
What is the best recommendation to achieve the goal? More than one answer choice may achieve the goal.

 
 
 
 

5. You plan to design a solution for an AI implementation that uses data from IoT devices.
You need to recommend a data storage solution for the IoT devices that meets the following requirements:
– Allow data to be queried in real-time as it streams into the solution.
– Provide the lowest amount of latency for loading data into the solution.
What should you include in the recommendation?

 
 
 
 

6. Your company has factories in 10 countries. Each factory contains several thousand IoT devices.
The devices present status and trending data on a dashboard.
You need to ingest the data from the IoT devices into a data warehouse.
Which two Microsoft Azure technologies should you use? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

 
 
 
 
 

7. You plan to deploy two AI applications named AI1 and AI2. The data for the applications will be stored in a relational database.
You need to ensure that the users of AI1 and AI2 can see only data in each user’s respective geographic region. The solution must be enforced at the database level by using row-level security.
Which database solution should you use to store the application data?

 
 
 
 

8. You are designing an AI workflow that will aggregate data stored in Azure as JSON documents.
You expect to store more than 2 TB of new data daily.
You need to choose the data storage service for the data. The solution must minimize costs.
Which data storage service should you choose?

 
 
 
 

9. You create an Azure Cognitive Services resource. A data scientist needs to call the resource from Azure Logic Apps by using the generic HTTP connector.
Which two values should you provide to the data scientist? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

 
 
 
 
 

10. You plan to deploy an AI solution that tracks the behavior of 10 custom mobile apps. Each mobile app has several thousand users. You need to recommend a solution for real-time data ingestion for the data originating from the mobile app users.
Which Microsoft Azure service should you include in the recommendation?

 
 
 
 

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