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NEW QUESTION: 1
You are designing an Azure application that stores data.
You have the following requirements:
The data storage system must support storing more than 2 terabytes (TB) of data.
Data retrieval must be possible from a large number of parallel threads.
Threads must not block each other.
You need to recommend an approach for storing data.
What should you recommend?
A. A single SQL database in Azure
B. Azure Queue storage
C. Azure Table storage
D. Azure Notification Hubs
Answer: C
Explanation:
Explanation/Reference:
* Azure Table Storage can be useful for applications that must store large amounts of nonrelational data, and need additional structure for that data. Tables offer key-based access to unschematized data at a low cost for applications with simplified data-access patterns. While Azure Table Storage stores structured data without schemas, it does not provide any way to represent relationships between the data.
* As a solution architect/developer, consider using Azure Table Storage when:
/Your application stores and retrieves large data sets and does not have complex relationships that require server-side joins, secondary indexes, or complex server-side logic.
/You need to achieve a high level of scaling without having to manually shard your dataset.
Reference: https://msdn.microsoft.com/en-us/library/azure/jj553018.aspx
NEW QUESTION: 2
HTHA is dependant on temperature, hydrogen partial pressure, time and _________.
A. Yield
B. Stress
C. Pressure
D. Tensile strength
Answer: B
NEW QUESTION: 3
You are developing a multi-tier application. The application will use Azure App Service web apps as the front end and an Azure SQL database as the back end. The application will use Azure functions to write some data to Azure Storage.
You need to send the Azure DevOps team an email message when the front end fails to return a status code of 200.
Which feature should you use?
A. Application Map in Azure Application Insights
B. availability tests in Azure Application Insights
C. Profiler in Azure Application Insights
D. Service Map in Azure Log Analytics
Answer: A
Explanation:
Application Map helps you spot performance bottlenecks or failure hotspots across all components of your distributed application. Each node on the map represents an application component or its dependencies; and has health KPI and alerts status.
References:
https://docs.microsoft.com/en-us/azure/azure-monitor/app/app-map
NEW QUESTION: 4
Which of the following is required to support AME?
A. Virtual I/O Server
B. AIX LPARs
C. On-demand memory feature enabled
D. A maximum of 4GB of RAM per LPAR
Answer: B