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Microsoft AI-100 Designing and Implementing an Azure AI Solution
Introduction to Designing and Implementing an Azure AI Solution This Exam is intended for AI solution experts who want to further polish their skills and knowledge of AI Solutions. These Experts after passing this exam can easily vouch for fitting tools and technologies, and equip solutions that are according to the requirements. Furthermore, the candidates understand mechanisms of the Azure AI Set up and they also know of the available data storage options. These candidates implement solutions using Cognitive Services, Azure bots, Azure Search, and data storage in Azure. • 2019 AI-100 Practice QuestionsAI-100 Practice Exam DumpsAI-100 Practice Exam Questions2019 AI-100 Practice Questions
Who is a Microsoft Certified: Azure AI Engineer Associate? Microsoft Certified: Azure AI Engineer Associate are those professionals who structure and then implement Microsoft AI solutions using Cognitive Services, Machine Learning, and Knowledge Mining. These Professionals implement Microsoft AI solutions linked with natural language processing, speech, computer vision, bots, and agents. They translate the vision from solution architects and work with data scientists, data engineers, IoT specialists, and AI developers to build complete end-to-end solutions. Moreover design and implement AI apps and agents that use Microsoft Azure Cognitive Services and Azure Bot Service. The Expert AI Solution Professionals can also recommend appropriate solutions according to the technologies preference. • 2019 AI-100 Practice QuestionsAI-100 Practice Exam DumpsAI-100 Practice Exam Questions2019 AI-100 Practice Questions
AI-100 Exam Topics This exam measures following technical tasks: 1 2 Accessing Data Creating Data Structures 4 3 Generating Reports Managing Data • 2019 AI-100 Practice QuestionsAI-100 Practice Exam DumpsAI-100 Practice Exam Questions2019 AI-100 Practice Questions
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Question No. 1: You deploy an application that performs sentiment analysis on the data stored in Azure Cosmos DB. Recently, you loaded a large amount of data to the database. The data was for a customer named Contoso. Ltd. You discover that queries for the Contoso data are slow to complete, and the queries slow the entire application. You need to reduce the amount of time it takes for the queries to complete. The solution must minimize costs. What is the best way to achieve the goal? More than one answer choice may achieve the goal. Select the BEST answer. https://www.test4practice.com/AI-100 -practice-test.html
Question No. 1: A. Change the requests units. B. Change the partitioning strategy. C. Change the transaction isolation level. D. Migrate the data to the Cosmos DB database. Answer: B Explanation/References: https://docs.microsoft.com/en-us/azure/architecture/best-practices/data-partitioning https://www.test4practice.com/AI-100 -practice-test.html
Question No. 2: You have an Al application that uses keys in Azure Key Vault. 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. Which two features should you configure? Each correct answer presents part of the solution. NOTE:Each correct selection is worth one point A. the expiration date on the keys https://www.test4practice.com/AI-100 -practice-test.html
Question No. 2: B. soft delete C. purge protection D. auditors E. the activation date on the keys Answer: B,C Explanation/References: https://docs.microsoft.com/en-us/azure/architecture/best-practices/data-partitioning https://www.test4practice.com/AI-100 -practice-test.html
Question No. 3: You deploy an Azure bot. You need to collect Key Performance Indicator (KPI) data from the bot. The type of data includes: • The number of users interacting with the bot • The number of messages interacting with the bot • The number of messages on different channels received by the bot • The number of users and messages continuously interacting with the bot What should you configure? https://www.test4practice.com/AI-100 -practice-test.html
Question No. 3: A. Bot analytics B. Azure Monitor C. Azure Analysis Services D. Azure Application Insights Answer: A Explanation/References: https://docs.microsoft.com/en-us/azure/sql-database/saas-multitenantdb-adhoc-reporting https://www.test4practice.com/AI100 -practice-test.html
Question No. 4: You need to configure versioning and logging for Azure Machine Learning models. Which Machine Learning service application should you use? A. models B. activities C. experiments D. pipelines E. deployments https://www.test4practice.com/AI-100 -practice-test.html
Question No. 4: Answer: E Explanation/References: https://docs.microsoft.com/en-us/azure/machine-learning/service/how-to-enable-logging#loggingfordeployed-models https://www.test4practice.com/AI-100 -practice-test.html
Question No. 5: Your company develops an AI application that is orchestrated by using Kubernetes. You need to deploy the application. Which three actions should you perform? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point. A. Create a Kubernetes cluster. https://www.test4practice.com/AI-100 -practice-test.html
Question No. 5: B. Create an Azure Container Registry instance. C. Create a container image file. D. Create a Web App for Containers. E. Create an Azure container instance. Answer: ABC Explanation/References: https://docs.microsoft.com/en-us/azure/aks/tutorial-kubernetes-prepare-app https://www.test4practice.com/AI-100 -practice-test.html
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