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Exam Designing and Implementing an Azure AI Solution
Number AI-100
File Name Designing and Implementing an Azure AI Solution.passguide.AI-100.2019-06-18.4e.50q.vcex
Size 127 Kb
Posted June 18, 2019
Downloads 33



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Demo Questions

Question 1
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 2
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?

  • A: an Azure Data Lake store
  • B: Azure File Storage
  • C: Azure Blob storage
  • D: Azure Table storage



Question 3
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?

  • A: Azure Blob storage
  • B: Azure Cosmos DB
  • C: Azure HDInsight
  • D: Azure Table storage



Question 4
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 5
You plan to design an application that will use data from Azure Data Lake and perform sentiment analysis by using Azure Machine Learning algorithms. 
The developers of the application use a mix of Windows- and Linux-based environments. The developers contribute to shared GitHub repositories. 
You need all the developers to use the same tool to develop the application. 
What is the best tool to use? More than one answer choice may achieve the goal.

  • A: Microsoft Visual Studio Code
  • B: Azure Notebooks
  • C: Azure Machine Learning Studio
  • D: Microsoft Visual Studio



Question 6
You have several AI applications that use an Azure Kubernetes Service (AKS) cluster. The cluster supports a maximum of 32 nodes. 
You discover that occasionally and unpredictably, the application requires more than 32 nodes. 
You need to recommend a solution to handle the unpredictable application load. 
Which scaling method should you recommend?

  • A: horizontal pod autoscaler
  • B: cluster autoscaler
  • C: manual scaling
  • D: Azure Container Instances



Question 7
You deploy an infrastructure for a big data workload. 
You need to run Azure HDInsight and Microsoft Machine Learning Server. You plan to set the RevoScaleR compute contexts to run rx function calls in parallel. 
What are three compute contexts that you can use for Machine Learning Server? Each correct answer presents a complete solution. 
NOTE: Each correct selection is worth one point.

  • A: SQL
  • B: Spark
  • C: local parallel
  • D: HBase
  • E: local sequential



Question 8
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 9
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 10
You have a solution that runs on a five-node Azure Kubernetes Service (AKS) cluster. The cluster uses an N-series virtual machine. 
An Azure Batch AI process runs once a day and rarely on demand. 
You need to recommend a solution to maintain the cluster configuration when the cluster is not in use. The solution must not incur any compute costs. 
What should you include in the recommendation?

  • A: Downscale the cluster to one node
  • B: Downscale the cluster to zero nodes
  • C: Delete the cluster









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