Download Designing and Implementing an Azure AI Solution.AI-100.Train4Sure.2019-04-03.23q.tqb

Vendor: Microsoft
Exam Code: AI-100
Exam Name: Designing and Implementing an Azure AI Solution
Date: Apr 03, 2019
File Size: 217 KB
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Demo Questions

Question 1
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?
  1. an Azure Data Lake store
  2. Azure File Storage
  3. Azure Blob storage
  4. Azure Table storage
Correct answer: C
Explanation:
Data Lake will be a bit more expensive although they are in close range of each other. Blob storage has more options for pricing depending upon things like how frequently you need to access your data (cold vs hot storage). References:http://blog.pragmaticworks.com/azure-data-lake-vs-azure-blob-storage-in-data-warehousing
Data Lake will be a bit more expensive although they are in close range of each other. Blob storage has more options for pricing depending upon things like how frequently you need to access your data (cold vs hot storage). 
References:
http://blog.pragmaticworks.com/azure-data-lake-vs-azure-blob-storage-in-data-warehousing
Question 2
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.
  1. Generate a shared access signature (SAS)
  2. Obtain an SSL certificate
  3. Add a deployment slot
  4. Update the web service
  5. Update DNS
  6. Create an Azure Key Vault
Correct answer: BDE
Explanation:
The process of securing a new web service or an existing one is as follows:Get a domain name. Get a digital certificate. Deploy or update the web service with the SSL setting enabled. Update your DNS to point to the web service. Note: To deploy (or re-deploy) the service with SSL enabled, set the ssl_enabled parameter to True, wherever applicable. Set the ssl_certificate parameter to the value of the certificate file and the ssl_key to the value of the key file.References:https://docs.microsoft.com/en-us/azure/machine-learning/service/how-to-secure-web-service
The process of securing a new web service or an existing one is as follows:
  1. Get a domain name. 
  2. Get a digital certificate. 
  3. Deploy or update the web service with the SSL setting enabled. 
  4. Update your DNS to point to the web service. 
Note: To deploy (or re-deploy) the service with SSL enabled, set the ssl_enabled parameter to True, wherever applicable. Set the ssl_certificate parameter to the value of the certificate file and the ssl_key to the value of the key file.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/service/how-to-secure-web-service
Question 3
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?
  1. Azure Queue storage
  2. Azure Cosmos DB
  3. Azure Blob storage
  4. Azure SQL Database
Correct answer: C
Explanation:
References:https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/data-storage
References:
https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/data-storage
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