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Microsoft Certified: Azure AI Engineer Associate Certification

Azure AI Engineers who hold Microsoft Certified: Azure AI Engineer Associate certification 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. This certification requires you answer AI-100 Designing and Implementing an Azure AI exam. It is for engineers who already have intermediate to an expert level understanding of machine learning & deep learning algorithms and now are responsible for deploying end-to-end AI solution on Azure using native as well as other supporting AI/ML services. 

There is no prerequisite for Microsoft Certified: Azure AI Engineer Associate Certification, but it is recommended to get Microsoft Certified Azure Fundamentals certification to prove that you understand cloud concepts, core Azure Services, Azure pricing and support, and the fundamentals of cloud security, privacy, compliance, and trust.

Azure AI Engineer Certification Exam AI-100

Microsoft AI-100 Designing and Implementing an Azure AI Solution certification exam tests and validates your expertise using the various services within the Microsoft Azure Artificial Intelligence (AI) portfolio. 

Microsoft AI-100 exam is available in English, Japanese, Chinese (Simplified), Korean. It measures your ability to accomplish the following technical tasks:

Analyze solution requirements (25-30%)

·Recommend Cognitive Services APIs to meet business requirements
·Map security requirements to tools, technologies, and processes
·Select the software, services, and storage required to support a solution

Design AI solutions (40-45%)

·Design solutions that include one or more pipelines
·Design solutions that uses Cognitive Services
·Design solutions that implement the Bot Framework
·Design the compute infrastructure to support a solution
·Design for data governance, compliance, integrity, and security

Implement and monitor AI solutions (25-30%)

·Implement an AI workflow
·Integrate AI services with solution components
·Monitor and evaluate the AI environment

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You are designing an AI solution that will analyze millions of pictures by using Azure HDInsight Hadoop cluster.
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 Storage Gen1
B. Azure File Storage
C. Azure Blob storage
D. Azure Table storage
Answer: C 

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
Answer: D 

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
Answer: BDE 

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
Answer: C 

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
Answer: C