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Exam Designing and Implementing an Azure AI Solution
Number AI-100
File Name Designing and Implementing an Azure AI Solution.PracticeTest.AI-100.2019-04-14.1e.22q.vcex
Size 116 Kb
Posted April 14, 2019
Downloads 48



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Demo Questions

Question 1
You have an Azure Machine Learning model that is deployed to a web service. 
You plan to publish the web service by using the name ml.contoso.com. 
You need to recommend a solution to ensure that access to the web service is encrypted. 
Which three actions should you recommend? Each correct answer presents part of the solution. 
NOTE: Each correct selection is worth one point.

  • A: Generate a shared access signature (SAS)
  • B: Obtain an SSL certificate
  • C: Add a deployment slot
  • D: Update the web service
  • E: Update DNS
  • F: Create an Azure Key Vault



Question 2
Your company recently deployed several hardware devices that contain sensors. 
The sensors generate new data on an hourly basis. The data generated is stored on-premises and retained for several years. 
During the past two months, the sensors generated 300 GB of data. 
You plan to move the data to Azure and then perform advanced analytics on the data. 
You need to recommend an Azure storage solution for the data. 
Which storage solution should you recommend?

  • A: Azure Queue storage
  • B: Azure Cosmos DB
  • C: Azure Blob storage
  • D: Azure SQL Database



Question 3
Your company has 1,000 AI developers who are responsible for provisioning environments in Azure. 
You need to control the type, size, and location of the resources that the developers can provision. 
What should you use?

  • A: Azure Key Vault
  • B: Azure service principals
  • C: Azure managed identities
  • D: Azure Security Center
  • E: Azure Policy



Question 4
You are designing an AI solution in Azure that will perform image classification. 
You need to identify which processing platform will provide you with the ability to update the logic over time. The solution must have the lowest latency for inferencing without having to batch. 
Which compute target should you identify?

  • A: graphics processing units (GPUs)
  • B: field-programmable gate arrays (FPGAs)
  • C: central processing units (CPUs)
  • D: application-specific integrated circuits (ASICs)



Question 5
Your company has recently deployed 5,000 Internet-connected sensors for a planned AI solution. 
You need to recommend a computing solution to perform a real-time analysis of the data generated by the sensors. 
Which computing solution should you recommend?

  • A: an Azure HDInsight Storm cluster
  • B: Azure Notification Hubs
  • C: an Azure HDInsight Hadoop cluster
  • D: an Azure HDInsight R cluster



Question 6
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question, you will NOT be able to return to it. As a result, these questions will not appear in the review screen. 
You are developing an application that uses an Azure Kubernetes Service (AKS) cluster. 
You are troubleshooting a node issue. 
You need to connect to an AKS node by using SSH. 
Solution: You change the permissions of the AKS resource group, and then you create an SSH connection.
Does this meet the goal?

  • A: Yes
  • B: No



Question 7
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?

  • A: Azure Kubernetes Service (AKS)
  • B: Azure Pipelines
  • C: Azure Data Factory
  • D: Azure Container Instances



Question 8
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?

  • A: a Microsoft Azure Table Storage solution
  • B: a Microsoft Azure HDInsight R Server cluster
  • C: a Microsoft Azure HDInsight Hadoop cluster
  • D: a Microsoft Azure SQL database that has In-Memory OLTP enabled



Question 9
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?

  • A: Azure Manage Disks
  • B: Azure Blob Storage
  • C: Azure File Storage
  • D: Azure Data Lake Storage



Question 10
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.

  • A: an Azure event hub for Stream1 and Azure Blob storage for Stream2
  • B: Azure Blob storage for Stream1 and Stream2
  • C: an Azure event hub for Stream1 and Stream2
  • D: Azure Blob storage for Stream1 and Azure Cosmos DB for Stream2
  • E: Azure Cosmos DB for Stream1 and an Azure event hub for Stream2









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