You need to recommend a platform architecture for a big data solution that meets the following requirements:✑ Supports batch processing✑ Provides a holding area for a 3-petabyte (PB) dataset✑ Minimizes the development effort to implement the solution✑ Provides near real-time relational querying across a multi-terabyte (TB) datasetWhich two platform architectures should you include in the recommendation? Each correct answer presents part of the solution.NOTE: Each correct selection is worth one point.
HOTSPOT -You have a Microsoft Azure SQL data warehouse named DW1.A department in your company creates an Azure SQL database named DB1. DB1 is a data mart.Each night, you need to insert new rows into 9.000 tables in DB1 from changed data in DW1. The solution must minimize costs.What should you use to move the data from DW1 to DB1, and then to import the changed data to DB1? To answer, select the appropriate options in the answer area.NOTE: Each correct selection is worth one point.Hot Area:
DRAG DROP -Your company has a data visualization solution that contains a customized Microsoft Azure Stream Analytics Solution. The solution provides data to a MicrosoftPowel BI deployment.Every 10 seconds, you need to query for instances that have more than three records.How should you complete the query? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all.You may need to drag the split bar between panes or scroll to view content.NOTE: Each correct selection is worth one point.Select and Place:
Overview:Litware, Inc. is a company that manufactures personal devices to track physical activity and other health-related data.Litware has a health tracking application that sends health-related data from a users personal device to Microsoft Azure.Litware has three development and commercial offices. The offices are located in the United States, Luxembourg, and India.Litware products are sold worldwide. Litware has commercial representatives in more than 80 countries.Existing Environment:In addition to using desktop computers in all of the offices, Litware recently started using Microsoft Azure resources and services for both development and operations.Litware has an Azure Machine Learning solution.Litware recently extended its platform to provide third-party companies with the ability to upload data from devices to Azure. The data can be aggregated across multiple devices to provide users with a comprehensive view of their global health activity.While the upload from each device is small, potentially more than 100 million devices will upload data daily by using an Azure event hub.Each health activity has a small amount of data, such as activity type, start date/time, and end date/time. Each activity is limited to a total of 3 KB and includes a customer identification key.In addition to the Litware health tracking application, the users' activities can be reported to Azure by using an open API.The developers at Litware perform Machine Learning experiments to recommend an appropriate health activity based on the past three activities of a user.The Litware developers train a model to recommend the best activity for a user based on the hour of the day.Requirements:Litware plans to extend the existing dashboard features so that health activities can be compared between the users based on age, gender, and geographic region.Minimize the costs associated with transferring data from the event hub to Azure Storage.Litware identifies the following technical requirements:✑ Data from the devices must be stored for three years in a format that enables the fast processing of date fields and filtering.✑ The third-party companies must be able to use the Litware Machine Learning models to generate recommendations to their users by using a third-party application.✑ Any changes to the health tracking application must ensure that the Litware developers can run the experiments without interrupting or degrading the performance of the production environment.Activity tracking data must be available to all of the Litware developers for experimentation. The developers must be prevented from accessing the private information of the users.When the Litware health tracking application asks users how they feel, their responses must be reported to Azure.You need to recommend a data handling solution to support the planned changes to the dashboard.What is the best recommendation to achieve the goal? More than one answer choice may achieve the goal. Select the BEST answer.
Overview:Litware, Inc. is a company that manufactures personal devices to track physical activity and other health-related data.Litware has a health tracking application that sends health-related data from a users personal device to Microsoft Azure.Litware has three development and commercial offices. The offices are located in the United States, Luxembourg, and India.Litware products are sold worldwide. Litware has commercial representatives in more than 80 countries.Existing Environment:In addition to using desktop computers in all of the offices, Litware recently started using Microsoft Azure resources and services for both development and operations.Litware has an Azure Machine Learning solution.Litware recently extended its platform to provide third-party companies with the ability to upload data from devices to Azure. The data can be aggregated across multiple devices to provide users with a comprehensive view of their global health activity.While the upload from each device is small, potentially more than 100 million devices will upload data daily by using an Azure event hub.Each health activity has a small amount of data, such as activity type, start date/time, and end date/time. Each activity is limited to a total of 3 KB and includes a customer identification key.In addition to the Litware health tracking application, the users' activities can be reported to Azure by using an open API.The developers at Litware perform Machine Learning experiments to recommend an appropriate health activity based on the past three activities of a user.The Litware developers train a model to recommend the best activity for a user based on the hour of the day.Requirements:Litware plans to extend the existing dashboard features so that health activities can be compared between the users based on age, gender, and geographic region.Minimize the costs associated with transferring data from the event hub to Azure Storage.Litware identifies the following technical requirements:✑ Data from the devices must be stored for three years in a format that enables the fast processing of date fields and filtering.✑ The third-party companies must be able to use the Litware Machine Learning models to generate recommendations to their users by using a third-party application.✑ Any changes to the health tracking application must ensure that the Litware developers can run the experiments without interrupting or degrading the performance of the production environment.Activity tracking data must be available to all of the Litware developers for experimentation. The developers must be prevented from accessing the private information of the users.When the Litware health tracking application asks users how they feel, their responses must be reported to Azure.You need to recommend a data transfer solution to support the business goals.What should you recommend?
Overview:Litware, Inc. is a company that manufactures personal devices to track physical activity and other health-related data.Litware has a health tracking application that sends health-related data from a users personal device to Microsoft Azure.Litware has three development and commercial offices. The offices are located in the United States, Luxembourg, and India.Litware products are sold worldwide. Litware has commercial representatives in more than 80 countries.Existing Environment:In addition to using desktop computers in all of the offices, Litware recently started using Microsoft Azure resources and services for both development and operations.Litware has an Azure Machine Learning solution.Litware recently extended its platform to provide third-party companies with the ability to upload data from devices to Azure. The data can be aggregated across multiple devices to provide users with a comprehensive view of their global health activity.While the upload from each device is small, potentially more than 100 million devices will upload data daily by using an Azure event hub.Each health activity has a small amount of data, such as activity type, start date/time, and end date/time. Each activity is limited to a total of 3 KB and includes a customer identification key.In addition to the Litware health tracking application, the users' activities can be reported to Azure by using an open API.The developers at Litware perform Machine Learning experiments to recommend an appropriate health activity based on the past three activities of a user.The Litware developers train a model to recommend the best activity for a user based on the hour of the day.Requirements:Litware plans to extend the existing dashboard features so that health activities can be compared between the users based on age, gender, and geographic region.Minimize the costs associated with transferring data from the event hub to Azure Storage.Litware identifies the following technical requirements:✑ Data from the devices must be stored for three years in a format that enables the fast processing of date fields and filtering.✑ The third-party companies must be able to use the Litware Machine Learning models to generate recommendations to their users by using a third-party application.✑ Any changes to the health tracking application must ensure that the Litware developers can run the experiments without interrupting or degrading the performance of the production environment.Activity tracking data must be available to all of the Litware developers for experimentation. The developers must be prevented from accessing the private information of the users.When the Litware health tracking application asks users how they feel, their responses must be reported to Azure.You need to recommend a permanent Azure Storage solution for the activity data. The solution must meet the technical requirements.What is the best recommendation to achieve the goal? More than one answer choice may achieve the goal. Select the BEST answer.
