Questions and Answers: 166
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NEW QUESTION: 1
A distribution customer with System x servers has a requirement for automated scheduling, compression and deduplication on their Tivoli Storage Manager environment.
Which of the following statements is FALSE?
A. Tivoli Storage Manager provides encryption
B. Tivoli Storage Manager provides automated scheduling
C. Tivoli Storage Manager provides compression
D. Tivoli Storage Manager provides deduplication
Answer: A
NEW QUESTION: 2
Which VTP mode disallows the creation of local VLANs?
A. native
B. server
C. transparent
D. off
E. tunneling
F. client
Answer: F
Explanation:
Explanation
"A VTP client behaves like a VTP server and transmits and receives VTP updates on its trunks, but you cannot create, change, or delete VLANs on a VTP client. VLANs are configured on another switch in the domain that is in server mode."
http://www.cisco.com/en/US/docs/switches/lan/catalyst3560/software/release/12.2_52_se/configuration/guide/sw
NEW QUESTION: 3
あなたの会社はAzureApp ServiceWebアプリをデプロイしています。
テスト中、アプリケーションは負荷がかかった状態で失敗します。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。常時オン機能を有効にします。また、HTTPキューの長さに基づいて、カウントを2から10に増やすように自動スケーリングを構成します。
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：正しい選択はそれぞれ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