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NEW QUESTION: 1
Your company deploys an Azure App Service Web App.
During testing the application fails under load. The application cannot handle more than 100 concurrent user sessions. You enable the Always On feature. You also configure auto-scaling to increase counts from two to 10 based on HTTP queue length.
You need to improve the performance of the application.
Which solution should you use for each application scenario? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:
Box 1: Content Delivery Network
A content delivery network (CDN) is a distributed network of servers that can efficiently deliver web content to users. CDNs store cached content on edge servers in point-of-presence (POP) locations that are close to end users, to minimize latency.
Azure Content Delivery Network (CDN) offers developers a global solution for rapidly delivering high-bandwidth content to users by caching their content at strategically placed physical nodes across the world. Azure CDN can also accelerate dynamic content, which cannot be cached, by leveraging various network optimizations using CDN POPs. For example, route optimization to bypass Border Gateway Protocol (BGP).
Box 2: Azure Redis Cache
Azure Cache for Redis is based on the popular software Redis. It is typically used as a cache to improve the performance and scalability of systems that rely heavily on backend data-stores. Performance is improved by temporarily copying frequently accessed data to fast storage located close to the application. With Azure Cache for Redis, this fast storage is located in-memory with Azure Cache for Redis instead of being loaded from disk by a database.
References:
https://docs.microsoft.com/en-us/azure/azure-cache-for-redis/cache-overview

NEW QUESTION: 2
Which of the following is a correct explanation of the terms of VAS in the Huawei Cloud Data Center?
A. Vector Addition System
B. Visual Analogue Score
C. Value Added Service
D. Visual Analogue Scale
Answer: C

NEW QUESTION: 3
会社には、受信メッセージを取り込むアプリケーションがあります。これらのメッセージは、他の数十のアプリケーションやマイクロサービスによってすぐに消費されます。メッセージの数は大幅に変化し、1秒あたり100.000もの急上昇することもあります。会社はソリューションを分離し、スケーラビリティを向上させたいと考えています。これらの要件を満たすソリューションはどれですか。
A. AutoScalingグループのAmazonEC2インスタンスにアプリケーションをデプロイします。これにより、CPUメトリックに基づいてEC2インスタンスの数がスケーリングされます。
B. メッセージをAmazon Kinesis DataAnalyticsに永続化するすべてのアプリケーションがメッセージを読み取って処理します
C. 単一のシャードでAmazon Kinesis DataStreamsにメッセージを書き込みます。すべてのアプリケーションはストリームから読み取り、メッセージを処理します。
D. 1つ以上のAmazon Simple Queue Service（Amazon SQS）サブスクリプションを使用してAmazon Simple Notification Service（Amazon SNS）トピックにメッセージを公開します。その後、すべてのアプリケーションがキューからのメッセージを処理します
Answer: C