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NEW QUESTION: 1
あなたの会社は顧客向けのイベント登録サイトを運営しています。このサイトは、Webおよびアプリケーション層サーバーとMySQLデータベースを備えた3層アーキテクチャーで構築されています。最小65％のサーバー容量と単一のMySQLデータベース。
このアプリケーションを3つのアベイラビリティーゾーン（AZ）のある地域にデプロイする場合、どのアーキテクチャーが高可用性を提供しますか？
A. ELB（エラスティックロードバランサー）の背後にあるAuto Scaling Group内の各AZに2つのEC2（Elastic Compute Cloud）インスタンスを持つ3つのAZに展開されたWeb層。また、ELBおよびMulti-AZ RDS（リレーショナルデータベースサービス）展開の背後にあるAuto Scaling Group内の各AZに2つのEC2インスタンスを持つ3つのAZに展開されたアプリケーション層。
B. ELB（エラスティックロードバランサー）の背後にあるAuto Scaling Group内の各AZに3つのEC2（Elastic Compute Cloud）インスタンスを持つ2つのAZに展開されたWeb層、および3つのEC2インスタンスを持つ2つのAZに展開されたアプリケーション層ELBの背後にあるAuto Scaling Group内の各AZと、もう一方のAZにリードレプリカでデプロイされた1つのRDS（リレーショナルデータベースサービス）インスタンス。
C. ELB（エラスティックロードバランサー）の背後にあるAuto Scaling Group内の各AZに3つのEC2（Elastic Compute Cloud）インスタンスを持つ2つのAZにデプロイされたWeb層と、それぞれ3つのEC2インスタンスを持つ2つのAZにデプロイされたアプリケーション層ELSおよびMulti-AZ RDS（リレーショナルデータベースサービス）展開の背後にあるAuto Scaling Group内のAZ。
D. ELB（エラスティックロードバランサー）の背後のAuto Scaling Group内の各AZに2つのEC2（Elastic Compute Cloud）インスタンスを持つ3つのAZにデプロイされたWeb層と、それぞれ2つのEC2インスタンスを持つ3つのAZにデプロイされたアプリケーション層ELBの背後のAuto Scaling Group内のAZと、他の2つのAZにリードレプリカでデプロイされた1つのRDS（リレーショナルデータベースサービス）インスタンス。
Answer: A
Explanation:
Explanation
Amazon RDS Multi-AZ Deployments
Amazon RDS Multi-AZ deployments provide enhanced availability and durability for Database (DB) Instances, making them a natural fit for production database workloads. When you provision a Multi-AZ DB Instance, Amazon RDS automatically creates a primary DB Instance and synchronously replicates the data to a standby instance in a different Availability Zone (AZ). Each AZ runs on its own physically distinct, independent infrastructure, and is engineered to be highly reliable. In case of an infrastructure failure (for example, instance hardware failure, storage failure, or network disruption), Amazon RDS performs an automatic failover to the standby, so that you can resume database operations as soon as the failover is complete. Since the endpoint for your DB Instance remains the same after a failover, your application can resume database operation without the need for manual administrative intervention.
Enhanced Durability
Multi-AZ deployments for the MySQL, Oracle, and PostgreSQL engines utilize synchronous physical replication to keep data on the standby up-to-date with the primary. Multi-AZ deployments for the SQL Server engine use synchronous logical replication to achieve the same result, employing SQL Server-native Mirroring technology. Both approaches safeguard your data in the event of a DB Instance failure or loss of an Availability Zone.
If a storage volume on your primary fails in a Multi-AZ deployment, Amazon RDS automatically initiates a failover to the up-to-date standby. Compare this to a Single-AZ deployment: in case of a Single-AZ database failure, a user-initiated point-in-time-restore operation will be required. This operation can take several hours to complete, and any data updates that occurred after the latest restorable time (typically within the last five minutes) will not be available.
Amazon Aurora employs a highly durable, SSD-backed virtualized storage layer purpose-built for database workloads. Amazon Aurora automatically replicates your volume six ways, across three Availability Zones.
Amazon Aurora storage is fault-tolerant, transparently handling the loss of up to two copies of data without affecting database write availability and up to three copies without affecting read availability. Amazon Aurora storage is also self-healing. Data blocks and disks are continuously scanned for errors and replaced automatically.
Increased Availability
You also benefit from enhanced database availability when running Multi-AZ deployments. If an Availability Zone failure or DB Instance failure occurs, your availability impact is limited to the time automatic failover takes to complete: typically under one minute for Amazon Aurora and one to two minutes for other database engines (see the RDS FAQ for details).
The availability benefits of Multi-AZ deployments also extend to planned maintenance and backups. In the case of system upgrades like OS patching or DB Instance scaling, these operations are applied first on the standby, prior to the automatic failover. As a result, your availability impact is, again, only the time required for automatic failover to complete.
Unlike Single-AZ deployments, I/O activity is not suspended on your primary during backup for Multi-AZ deployments for the MySQL, Oracle, and PostgreSQL engines, because the backup is taken from the standby.
However, note that you may still experience elevated latencies for a few minutes during backups for Multi-AZ deployments.
On instance failure in Amazon Aurora deployments, Amazon RDS uses RDS Multi-AZ technology to automate failover to one of up to 15 Amazon Aurora Replicas you have created in any of three Availability Zones. If no Amazon Aurora Replicas have been provisioned, in the case of a failure, Amazon RDS will attempt to create a new Amazon Aurora DB instance for you automatically.

NEW QUESTION: 2
SCENARIO
Please use the following to answer the next question:
Zandelay Fashion ('Zandelay') is a successful international online clothing retailer that employs approximately 650 people at its headquarters based in Dublin, Ireland. Martin is their recently appointed data protection officer, who oversees the company's compliance with the General Data Protection Regulation (GDPR) and other privacy legislation.
The company offers both male and female clothing lines across all age demographics, including children. In doing so, the company processes large amounts of information about such customers, including preferences and sensitive financial information such as credit card and bank account numbers.
In an aggressive bid to build revenue growth, Jerry, the CEO, tells Martin that the company is launching a new mobile app and loyalty scheme that puts significant emphasis on profiling the company's customers by analyzing their purchases. Martin tells the CEO that: (a) the potential risks of such activities means that Zandelay needs to carry out a data protection impact assessment to assess this new venture and its privacy implications; and (b) where the results of this assessment indicate a high risk in the absence of appropriate protection measures. Zandelay may have to undertake a prior consultation with the Irish Data Protection Commissioner before implementing the app and loyalty scheme.
Jerry tells Martin that he is not happy about the prospect of having to directly engage with a supervisory authority and having to disclose details of Zandelay's business plan and associated processing activities.
What must Zandelay provide to the supervisory authority during the prior consultation?
A. Records showing that customers have explicitly consented to the intended profiling activities.
B. An explanation of the purposes and means of the intended processing.
C. An evaluation of the complexity of the intended processing.
D. Certificates that prove Martin's professional qualities and expert knowledge of data protection law.
Answer: B

NEW QUESTION: 3
개발 팀이 AWS Lambda 함수를 사용하는 이벤트 기반 애플리케이션을 만들고 있습니다. Amazon S3 버킷에 파일이 추가되면 이벤트가 생성됩니다. 현재 개발 팀에는 Amazon S3의 이벤트 대상으로 구성된 Amazon Simple Notification Service (Amazon SNS)가 있습니다.
솔루션 아키텍트는 확장 가능한 이유에서 Amazon S3의 이벤트를 처리하기 위해 무엇을 해야 합니까?
A. 이벤트가 Lambda에서 실행되기 전에 Amazon Elastic Container Service (Amazon ECS)에서 이벤트를 처리하는 SNS 구독을 생성합니다.
B. 이벤트가 Lambda에서 실행되기 전에 Amazon Elastic Kubermetes Service (Amazon EKS)에서 이벤트를 처리하는 SNS 구독을 생성합니다.
C. 이벤트를 AWS Server Migration Service (AWS SQS)로 보내는 SNS 구독을 생성합니다.
Lambda 함수를 트리거하도록 SQS 대기열을 구성합니다.
D. 이벤트를 AWS Server Migration Service (AWS SMS)로 보내는 SNS 구독을 생성합니다.
SMS 이벤트에서 폴링하도록 Lambda 함수 구성
Answer: D