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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。
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。
D. 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。
Answer: A
Explanation:
説明
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
웹 사이트는 감사 기록 ​​보안 프로토콜 내의 사용자 이름 대신 Amazon Aurora에서 GUID (Globally Unique Identifier)를 검색하여 GUID 컨텐츠가 회사의 VPN을 떠나면 안된다는 GUID 상태를 나타내는 사용자 동작 기록을 유지합니다.
웹 트래픽이 증가함에 따라 GUID에 대한 사용자 레코드를 따라 잡기 위해 웹 서버와 azure 읽기 복제본의 수가 증가했습니다.
성능을 향상시키는 동안 필요한 읽기 복제본의 수를 줄이려면 어떻게 해야 합니까?
A. GUID를 사용자 이름의 MD5 해시로 변경하여 데이터베이스를 참조하지 않고도 값을 필요할 때 계산할 수 있습니다.
B. 웹 서버 인스턴스의 메모리에 사용자 이름과 GUID를 유지하여 필요에 따라 연결을 다시 만들 수 있습니다. 30 분 후에 레코드를 제거합니다.
C. Redis 서버 용 Amazon ElastiCache를 인프라에 배포하고 사용자 이름과 GUID를 저장합니다. 필요한 경우 ElastiCache에서 GUID 검색
D. Base64를 사용하여 GUID를 암호화하고 사용자 세션 쿠키에 저장합니다. 감사 레코드가 필요할 때 GUID를 해독합니다.
Answer: C

NEW QUESTION: 3
管理するアプリケーションには、いくつかのWebフロントエンドインスタンスがあります。各Webフロントエンドは、Azureキューを使用して一連のバックエンドワーカープロセスと通信します。ワーカープロセスのコードを開発しています。
d3ta処理タスクを処理するDoWork0という名前の関数があります。
次の要件を満たすワーカープロセスのコードを開発する必要があります。
*プロパティはキューからアイテムにアクセスし、障害に耐えます。
*複数のバックグラウンドプロセスで実行します。
*ワーカープロセスが失敗した2分後に、他のワーカーがアイテムを利用できるようにします。
*失敗したプロセスに関するメッセージがコンソールに記録されるようにします。
どのようにコードを完成させるべきですか?回答するには、回答エリアで適切なオプションを選択します。注:それぞれの正しい選択には1ポイントの価値があります。

Answer:
Explanation:


NEW QUESTION: 4
DRAG DROP
You are designing a SQL Server Integration Services (SSIS) package. The package moves order-related data to a staging table named Order. Every night the staging data is truncated and then all the recent orders from the online store database are inserted into the staging table.
Your package must meet the following requirements:
*If the truncate operation fails, the package execution must stop and report an error.
*If the Data Flow task that moves the data to the staging table fails, the entire refresh operation must be rolled back.
*For auditing purposes, a log entry must be entered in a SQL log table after each execution of the Data Flow task.
The TransactionOption property for the package is set to Required.
You need to design the package to meet the requirements.
How should you design the control flow for the package? (To answer, drag the appropriate setting from the list of settings to the correct location or locations in the answer area.)

Answer:
Explanation:

Explanation:

References:
http://msdn.microsoft.com/en-us/library/ms137690.aspx
http://msdn.microsoft.com/en-us/library/ms141144.aspx