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NEW QUESTION: 1
開発者は、注文履行システムのビジネスロジックを再実装する必要があります。 ビジネスロジックは、どこで商品を購入するかを決定するために複数のベンダーに要求しなければなりません。 プロセス全体が完了するまでに最大1週間かかることがあります。
これらの要件を満たすシステムを実装するための最も効率的で最も単純な方法は何ですか？
A. Lambda関数を調整するためにAmazon CloudWatchイベントを使用します。
B. AWS Lambdaを使用して各ベンダーのLambda関数を非同期的に呼び出し、結果を結合します。
C. AWS Step Functionsを使用して並列Lambda関数を実行し、結果を結合します。
D. 各ベンダーのAWS SQSを作成し、ワーカーインスタンスからキューをポーリングして、結果を結合します。
Answer: A

NEW QUESTION: 2
Klicken Sie, um jedes Ziel zu erweitern. Geben Sie https://portal.azure.com in die Adressleiste des Browsers ein, um eine Verbindung zum Azure-Portal herzustellen.






Wenn Sie alle Aufgaben ausgeführt haben, klicken Sie auf die Schaltfläche "Weiter".
Beachten Sie, dass Sie nicht zum Labor zurückkehren können, sobald Sie auf die Schaltfläche "Weiter" klicken. Die Bewertung erfolgt im Hintergrund, während Sie den Rest der Prüfung abschließen.
Überblick
Der folgende Teil der Prüfung ist ein Labor. In diesem Abschnitt führen Sie eine Reihe von Aufgaben in einer Live-Umgebung aus. Während Ihnen die meisten Funktionen wie in einer Live-Umgebung zur Verfügung stehen, sind einige Funktionen (z. B. Kopieren und Einfügen, Navigieren zu externen Websites) konstruktionsbedingt nicht möglich.
Die Bewertung basiert auf dem Ergebnis der Ausführung der im Labor angegebenen Aufgaben. Mit anderen Worten, es spielt keine Rolle, wie Sie die Aufgabe ausführen. Wenn Sie sie erfolgreich ausführen, erhalten Sie für diese Aufgabe eine Gutschrift.
Die Laborzeiten sind nicht separat festgelegt. In dieser Prüfung müssen Sie möglicherweise mehr als ein Labor absolvieren. Sie können so viel Zeit verwenden, wie Sie für jedes Labor benötigen. Sie sollten Ihre Zeit jedoch angemessen verwalten, um sicherzustellen, dass Sie die Labors und alle anderen Abschnitte der Prüfung in der angegebenen Zeit absolvieren können.
Bitte beachten Sie, dass Sie nach dem Absenden Ihrer Arbeit durch Klicken auf die Schaltfläche Weiter innerhalb eines Labors NICHT mehr in das Labor zurückkehren können.
Um das Labor zu starten
Sie können das Labor starten, indem Sie auf die Schaltfläche Weiter klicken.
Sie planen, Sicherungsdateien und Dokumente von einem lokalen Windows-Dateiserver in Azure Storage zu verschieben.
Die Sicherungsdateien werden als Blobs gespeichert.
Sie müssen ein Speicherkonto mit dem Namen corpdata7523690n2 erstellen. Die Lösung muss folgende Anforderungen erfüllen:
* Stellen Sie sicher, dass der Zugriff auf die Dokumente über Laufwerkszuordnungen von virtuellen Azure-Maschinen unter Windows Server 2016 erfolgt.
* Stellen Sie die höchstmögliche Redundanz für die Dokumente bereit.
* Minimieren Sie die Kosten für den Speicherzugriff.
Was sollten Sie über das Azure-Portal tun?
Answer:
Explanation:
Siehe Lösung unten.
Erläuterung
Schritt 1: Klicken Sie im Azure-Portal auf Alle Dienste. Geben Sie in der Liste der Ressourcen Speicherkonten ein. Während Sie mit der Eingabe beginnen, wird die Liste basierend auf Ihrer Eingabe gefiltert. Wählen Sie Speicherkonten.
Schritt 2: Wählen Sie im angezeigten Fenster Speicherkonten die Option Hinzufügen.
Schritt 3: Wählen Sie das Abonnement aus, in dem das Speicherkonto erstellt werden soll.
Schritt 4: Wählen Sie im Feld Ressourcengruppe die Option Neu erstellen aus. Erstellen Sie eine neue Ressource

Schritt 5: Geben Sie einen Namen für Ihr Speicherkonto ein: corpdata7523690n2
Schritt 6: Wählen Sie als Kontotyp: Allzweck-v2-Konten (empfohlen für die meisten Szenarien) Allzweck-v2-Konten werden für die meisten Szenarien empfohlen. . Allzweck-v2-Konten bieten die niedrigsten Kapazitätspreise pro Gigabyte für Azure Storage sowie branchenweit wettbewerbsfähige Transaktionspreise.
Schritt 7: Wählen Sie für die Replikation Folgendes aus: Georedundanter Speicher mit Lesezugriff (RA-GRS) Georedundanter Speicher mit Lesezugriff (RA-GRS) maximiert die Verfügbarkeit für Ihr Speicherkonto. RA-GRS bietet schreibgeschützten Zugriff auf die Daten am sekundären Speicherort sowie Georeplikation in zwei Regionen.
Verweise:
https://docs.microsoft.com/de-de/azure/storage/common/storage-quickstart-create-account
https://docs.microsoft.com/en-us/azure/storage/common/storage-account-overview

NEW QUESTION: 3
Your company runs a customer facing event registration site This site is built with a 3-tier architecture with web and application tier servers and a MySQL database The application requires 6 web tier servers and 6 application tier servers for normal operation, but can run on a minimum of 65% server capacity and a single MySQL database.
When deploying this application in a region with three availability zones (AZs) which architecture provides high availability?
A. A web tier deployed across 3 AZs with 2 EC2 (Elastic Compute Cloud) instances in each AZ inside an Auto Scaling Group behind an ELB (elastic load balancer) and an application tier deployed across 3 AZs with 2 EC2 instances in each AZ inside an Auto Scaling Group behind an ELB and one RDS (Relational Database Service) Instance deployed with read replicas in the two other AZs.
B. A web tier deployed across 3 AZs with 2 EC2 (Elastic Compute Cloud) instances in each AZ Inside an Auto Scaling Group behind an ELB (elastic load balancer). And an application tier deployed across 3 AZs with 2 EC2 instances in each AZ inside an Auto Scaling Group behind an ELB and a Multi-AZ RDS (Relational Database services) deployment.
C. A web tier deployed across 2 AZs with 3 EC2 (Elastic Compute Cloud) instances in each AZ inside an Auto Scaling Group behind an ELB (elastic load balancer), and an application tier deployed across 2 AZs with 3 EC2 instances in each AZ inside an Auto Scaling Group behind an ELB and one RDS (Relational Database Service) instance deployed with read replicas in the other AZ.
D. A web tier deployed across 2 AZs with 3 EC2 (Elastic Compute Cloud) instances in each AZ inside an Auto Scaling Group behind an ELB (elastic load balancer) and an application tier deployed across 2 AZs with 3 EC2 instances m each AZ inside an Auto Scaling Group behind an ELS and a Multi-AZ RDS (Relational Database Service) deployment.
Answer: B
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: 4
레거시 애플리케이션은 현재 단일 Amazon EC2 인스턴스를 통해 메시지를 전송 한 다음 메시지를 적절한 대상으로 라우팅 합니다. Amazon EC2 인스턴스는 병목 현상과 단일 장애 지점이므로 이 문제를 해결하고자 합니다.
이 아키텍처 사용 사례를 처리 할 수 있는 서비스는 무엇입니까? (2 개를 선택하십시오.)
A. Amazon SNS
B. AWS 접착제
C. Amazon Route 53
D. AWS STS
E. Amazon SQS
Answer: A,E
Explanation:
Explanation
Amazon SNS works closely with Amazon Simple Queue Service (Amazon SQS). Both services provide different benefits for developers. Amazon SNS allows applications to send time-critical messages to multiple subscribers through a "push" mechanism, which eliminates the need to periodically check or "poll" for updates. Amazon SQS is a message queue service used by distributed applications to exchange messages through a polling model and can be used to decouple sending and receiving components without requiring each component to be concurrently available. By using Amazon SNS and Amazon SQS together, messages can be delivered to applications that require immediate notification of an event and also persisted in an Amazon SQS queue for other applications to process at a later time.