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NEW QUESTION: 1
AWS 클라우드의 시스템은 하나 이상의 구성 요소의 장애를 견딜 수 있도록 설계되었습니다.
이것의 예는 무엇입니까?
A. 민첩성
B. 확장 성
C. 고 가용성
D. 탄력
Answer: A
Explanation:
참조 : https : //wa.aws.amazon.com/wat.question.REL_7.en.html
NEW QUESTION: 2
コンサルタントは、セールスオペレーション向けの非常に便利なEinstein Analyticsアプリを構築し、そのコンテンツを他のグローバルセールスと共有したいと考えています。ただし、Salesの全員をアプリに追加することは望んでいません。コンサルタントは、Sales Operationsアプリを拡張してEinstein Analyticsテンプレートアプリとして配布することを推奨していますが、開始するには特定の情報を見つける必要があります。
コンサルタントが現在のテンプレートアプリを見つけることができるREST API URLとは何ですか？
A. /services/data/v##.#/wave/apps
B. /services/data/v##.#/analytics/wizard
C. /services/data/v##.#/wave/templates
D. /services/data/v##.#/analytics/projects
Answer: B
NEW QUESTION: 3
Answer:
Explanation:
Explanation
Box 1: Azure Content Delivery Network
The benefits of using Azure Content Delivery Network (CDN) to cache Azure data include better performance and user experience for end users who are far from a content source, and are using applications where many
'internet trips' are required to load content.
Box 2: Azure Redis Cache
Azure Redis Cache is based on the popular open-source Redis cache. 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 Redis cache, this fast storage is located in-memory with Redis Cache instead of being loaded from disk by a database.
References:
https://docs.microsoft.com/en-us/azure/architecture/best-practices/cdn
https://docs.microsoft.com/en-us/azure/redis-cache/cache-overview
NEW QUESTION: 4
A company is migrating an existing on-premises third-party website to Azure. The website is stateless.
The company does not have access to the source code for the website. They do have the original installer.
The number of visitors at the website vanes throughout the year.
The on-premises infrastructure was resized to accommodate peaks but the extra capacity was not used.
You need to implement a virtual machine scale set instance.
What should you do?
A. Use only default diagnostics metrics to trigger autoscaling.
B. Use Azure Monitor to create autoscale settings using custom metrics
C. Scale out by one instance when the average CPU usage of one of the instances is over 80 percent
D. Create 100 autoscale settings per resource.
Answer: B
Explanation:
Explanation
Azure Monitor autoscaling allows you to scale the number of running instances up or down, based on telemetry data (metrics).
References:
https://docs.microsoft.com/en-us/azure/monitoring-and-diagnostics/insights-autoscale-common-metrics