Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.You are developing an Azure Service application that processes queue data when it receives a message from a mobile application. Messages may not be sent to the service consistently.You have the following requirements:Queue size must not grow larger than 80 gigabytes (GB).Use first-in-first-out (FIFO) ordering of messages.Minimize Azure costs.You need to implement the messaging solution.Solution: Use the .Net API to add a message to an Azure Storage Queue from the mobile application. Create an Azure Function App that uses an Azure Storage Queue trigger.Does the solution meet the goal?
You are developing a software solution for an autonomous transportation system. The solution uses large data sets and Azure Batch processing to simulate navigation sets for entire fleets of vehicles.You need to create compute nodes for the solution on Azure Batch.What should you do?
You develop Azure Web Apps for a commercial diving company. Regulations require that all divers fill out a health questionnaire every 15 days after each diving job starts.You need to configure the Azure Web Apps so that the instance count scales up when divers are filling out the questionnaire and scales down after they are complete.You need to configure autoscaling.What are two possible autoscaling configurations to achieve this goal? Each correct answer presents a complete solution.NOTE: Each correct selection is worth one point.
You are building a web application that performs image analysis on user photos and returns metadata containing objects identified. The image is very costly in terms of time and compute resources. You are planning to use Azure Redis Cache so duplicate uploads do not need to be reprocessed.In case of an Azure data center outage, metadata loss must be kept to a minimum. You need to configure the Azure Redis cache instance.Which two actions should you perform?
You need to mitigate the Azure Cache for Redis issue.What are two possible ways to achieve this goal? Each correct answer presents part of the solution.NOTE: Each correct selection is worth one point.