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NEW QUESTION: 1
Click the Exhibit button.

Gateway 1 has multiple Output sequence flows.
Given the information provided in the exhibit, in what order will the flows be processed?
A. depends on the order in which the sequence flows were drawn
B. flow 2, then flow 1 and flow 3 simultaneously
C. randomly
D. flow 1, flow2, thenflow3
Answer: A

NEW QUESTION: 2
あなたの会社はAzure App Service Webアプリケーションをデプロイします。
テスト中に、アプリケーションは負荷がかかると失敗します。 アプリケーションは100を超える同時ユーザーセッションを処理できません。 Always On機能を有効にします。 また、自動スケーリングを設定して、カウントを2から2に増やすこともできます。
HTTPキューの長さに基づいて10。
アプリケーションのパフォーマンスを向上させる必要があります。
各アプリケーションシナリオに対してどのソリューションを使用する必要がありますか？ 回答するには、回答領域で適切なオプションを選択します。
注：それぞれ正しい選択は1ポイントの価値があります。

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: 3
Why would a database be denormalized?
A. To increase processing efficiency.
B. To prevent duplication of data.
C. To ensure data integrity.
D. To save storage space.
Answer: A
Explanation:
Denormalization is the process of attempting to optimize the performance of data storage by adding redundant data. It is necessary because current DBMSs are not fully relational. A fully relational DBMS would be able to preserve full normalization at the logical level, while allowing it to be mapped to performance-tuned physical level. Database designers often justify denormalization on performance issues, but they should note that logical denormalization can easily break the consistency of the database, one of the all-important ACID properties. However, a designer can achieve the performance benefits while retaining consistency by performing denormalization at a physical level; such denormalization is often called caching.