Cost Management Benefit for Accounting Application Usage Pattern

A

Azure Data Warehouse (now known as Azure Synapse Analytics) is a PaaS offering from Microsoft. As with all PaaS services from Microsoft, SQL Data

Warehouse offers an availability SLA of 99.9%. Microsoft can offer 99.9% availability because it has high availability features built into the platform.

The underlined text states that "high availability is built into the platform" in reference to Azure SQL Data Warehouse. This means that the platform is designed to provide continuous access to data and services even in the case of hardware or software failures.

Option A ("No change is needed") is the correct answer. The statement is correct, as Azure SQL Data Warehouse is designed to provide high availability by default. It is a fully-managed, cloud-based service that replicates data across multiple physical nodes, ensuring that data remains accessible even in the case of hardware or software failures.

Option B ("automatic scaling") refers to the ability of Azure SQL Data Warehouse to automatically adjust its compute and storage resources based on demand. This is a separate feature from high availability, and while it does improve the overall performance and reliability of the platform, it does not directly relate to the availability of data and services in the case of failures.

Option C ("data compression") refers to a feature of Azure SQL Data Warehouse that allows data to be compressed in order to reduce storage costs and improve query performance. While this feature is useful for optimizing the storage and performance of data, it is not related to high availability.

Option D ("versioning") refers to the ability of a system to manage different versions of data or code. This feature is useful for managing changes to data structures or application logic, but it does not directly relate to high availability.

In summary, the correct answer is A ("No change is needed"), as the statement is correct and accurately describes one of the benefits of Azure SQL Data Warehouse.

The benefit of Azure Cloud Services that supports cost management for the given usage pattern of App1 is C. elasticity.

Elasticity in cloud computing refers to the ability to dynamically scale resources up or down based on demand. In this scenario, App1 has low usage during the first three weeks of each month, and very high usage during the last week of each month. Without elasticity, the company would need to provision enough resources to handle the peak usage during the last week of each month, which would result in unused resources and unnecessary costs for the first three weeks.

With elasticity, the company can provision the minimum necessary resources during the low-usage weeks, and automatically scale up resources during the high-usage week to meet demand. This approach can help the company optimize its resource usage and reduce costs while still providing the necessary capacity to handle peak demand.

Therefore, C. elasticity is the correct answer as it allows the company to manage costs effectively by provisioning the appropriate amount of resources based on demand, without incurring unnecessary costs.