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NEW QUESTION: 1
Which of the following statements BEST describes the aims of Release and Deployment Management?
A. To ensure that all Release and Deployment packages can be tracked, installed, tested, verified and/or uninstalled or backed out if appropriate
B. To build, test and deliver the capability to provide the services specified by Service Design and that will accomplish the stakeholders requirements and deliver the intended objectives
C. To record and manage deviations, risks and issues related to the new or changed service
D. To ensure that each Release package specified by Service Design consists of a set of related assets and service components that are compatible with each other
Answer: B

NEW QUESTION: 2
あなたの会社は会社のロゴ画像を使用するいくつかのウェブサイトを持っています。静的イメージを格納するには、Azureコンテンツ配信ネットワーク（CDN）を使用します。
CDNとPoint of Presence（POP）サーバーがイメージを配布し、アイテムを正しい順序でリストする方法の正しいプロセスを決定する必要があります。
アクションはどの順序で発生しますか？回答するには、すべての行動を行動のリストから回答領域に移動し、正しい順序で並べます。

Answer:
Explanation:

Explanation:
Step 1: A user requests the image..
A user requests a file (also called an asset) by using a URL with a special domain name, such as <endpoint name>.azureedge.net. This name can be an endpoint hostname or a custom domain. The DNS routes the request to the best performing POP location, which is usually the POP that is geographically closest to the user.
Step 2: If no edge servers in the POP have the..
If no edge servers in the POP have the file in their cache, the POP requests the file from the origin server. The origin server can be an Azure Web App, Azure Cloud Service, Azure Storage account, or any publicly accessible web server.
Step 3: The origin server returns the..
The origin server returns the file to an edge server in the POP.
An edge server in the POP caches the file and returns the file to the original requestor (Alice). The file remains cached on the edge server in the POP until the time-to-live (TTL) specified by its HTTP headers expires. If the origin server didn't specify a TTL, the default TTL is seven days.
Step 4: Subsequent requests for..
Additional users can then request the same file by using the same URL that the original user used, and can also be directed to the same POP.
If the TTL for the file hasn't expired, the POP edge server returns the file directly from the cache. This process results in a faster, more responsive user experience.
References:
https://docs.microsoft.com/en-us/azure/cdn/cdn-overview

NEW QUESTION: 3
AWS에서 실행되는 애플리케이션은 데이터베이스에 Amazon Aurora 다중 AZ 배포를 사용합니다. 성능 지표를 평가할 때 솔루션 아키텍트는 데이터베이스 읽기가 높은 I / O를 유발하고 데이터베이스에 대한 쓰기 요청에 대기 시간이 추가되는 것을 발견했습니다. 읽기 요청과 쓰기 요청을 분리합니까?
A. 다중 AZ 대기 인스턴스에서 읽을 수 있도록 응용 프로그램 업데이트
B. Amazon Aurora 데이터베이스에서 리드 스루 캐싱 활성화
C. 두 번째 Amazon Aurora 데이터베이스를 생성하고 이를 읽기 전용 복제본으로 기본 데이터베이스에 연결합니다.
D. 읽기 전용 복제본을 작성하고 적절한 엔드 포인트를 사용하도록 애플리케이션을 수정하십시오.
Answer: D
Explanation:
Explanation
Amazon RDS Read Replicas
Amazon RDS Read Replicas provide enhanced performance and durability for RDS database (DB) instances.
They make it easy to elastically scale out beyond the capacity constraints of a single DB instance for read-heavy database workloads. You can create one or more replicas of a given source DB Instance and serve high-volume application read traffic from multiple copies of your data, thereby increasing aggregate read throughput. Read replicas can also be promoted when needed to become standalone DB instances. Read replicas are available in Amazon RDS for MySQL, MariaDB, PostgreSQL, Oracle, and SQL Server as well as Amazon Aurora.
For the MySQL, MariaDB, PostgreSQL, Oracle, and SQL Server database engines, Amazon RDS creates a second DB instance using a snapshot of the source DB instance. It then uses the engines' native asynchronous replication to update the read replica whenever there is a change to the source DB instance. The read replica operates as a DB instance that allows only read-only connections; applications can connect to a read replica just as they would to any DB instance. Amazon RDS replicates all databases in the source DB instance.
Amazon Aurora futher extends the benefits of read replicas by employing an SSD-backed virtualized storage layer purpose-built for database workloads. Amazon Aurora replicas share the same underlying storage as the source instance, lowering costs and avoiding the need to copy data to the replica nodes. For more information about replication with Amazon Aurora, see the online documentation.

https://aws.amazon.com/rds/features/read-replicas/