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AI-100Designing and Implementing an Azure AI Solution

231 Questions and Answers Experienced specialists selected 231 questions for this exam. All answers are verified to ensure correctness.

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AI-100 Online Practice Questions and Answers

Questions 1

You design an AI workflow that combines data from multiple data sources for analysis. The data sources are composed of:

1.

JSON files uploaded to an Azure Storage account

2.

On-premises Oracle databases

3.

Azure SQL databases

Which service should you use to ingest the data?

A. Azure Data Factory

B. Azure SQL Data Warehouse

C. Azure Data Lake Storage

D. Azure Databricks

Show Answer
Questions 2

You are designing a Computer Vision AI application.

You need to recommend a deployment solution for the application. The solution must ensure that costs scale linearly without any upfront costs.

What should you recommend?

A. a containerized Computer Vision API on Azure Container Instances

B. the Computer Vision API as a single resource

C. an Azure Container Service

D. a containerized Computer Vision API on Azure Kubernetes Service (AKS) that has virtual nodes configured

Show Answer
Questions 3

You are developing an AI application that will use keys stored in an Azure Key Vault.

You want to configure the Azure Key Vault to ensure that a key that is deleted is retained in the key vault for 90 days.

What should you do?

Recently, a key used by the application was deleted accidentally and was unrecoverable.

You need to ensure that if a key is deleted, it is retained in the key vault for 90 days.

What should you do?

A. In to Azure Management Console, set the expiration date on the keys.

B. In the Azure Portal, configure Soft delete and Purge protection.

C. In the Azure Portal, configure back up of the Azure Key Vault.

D. In the Azure Portal, configure Azure Monitor for Key Vault.

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Microsoft AI-100 exam official information: As a Microsoft Azure AI engineer, you build, manage, and deploy AI solutions that leverage Azure AI.Your responsibilities include participating in all phases of AI solutions development.