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NEW QUESTION: 1
WebApp1という名前のAzure Webアプリを開発しています。 WebApp1は、B1料金設定層を使用するPlan1という名前のAzure App Serviceプランを使用します。
CPU使用率が10分間70％を超えたときにアプリのインスタンスを追加するようにWebApp1を構成する必要があります。
順番に実行する必要がある3つのアクションはどれですか？回答するには、適切なアクションをアクションのリストから回答エリアに移動し、正しい順序に並べます。

Answer:
Explanation:

Explanation:
Box 1: From the Scale out (App Service Plan) settings blade, change the pricing tier The B1 pricing tier only allows for 1 core. We must choose another pricing tier.
Box 2: From the Scale out (App Service Plan) settings blade, enable autoscale
* Log in to the Azure portal at http://portal.azure.com
* Navigate to the App Service you would like to autoscale.
* Select Scale out (App Service plan) from the menu
* Click on Enable autoscale. This activates the editor for scaling rules.

Box 3: From the Scale mode to Scale based on metric, add a rule, and set the instance limits.
Click on Add a rule. This shows a form where you can create a rule and specify details of the scaling.
References:
https://azure.microsoft.com/en-us/pricing/details/app-service/windows/
https://blogs.msdn.microsoft.com/hsirtl/2017/07/03/autoscaling-azure-web-apps/

NEW QUESTION: 2
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層アーキテクチャで構築されています。アプリケーションは通常の運用に6つのWeb層サーバーと6つのアプリケーション層サーバーを必要としますが、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）がある地域に展開する場合、どのアーキテクチャ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に展開されるWeb層と、それぞれ3つのEC2インスタンスを持つ2つのAZに展開される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。
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2つのEC2（Elastic Compute Cloud）インスタンスがある3つのAZに展開されたWeb層と、それぞれ2つのEC2インスタンスを持つ3つのAZに展開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。
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。
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: 3
A Citrix Administrator needs to configure a rate limiting policy for the DNS requests to a threshold of 1000 DNS requests per second.
Which set of commands does the administrator need to run to correctly configure the rate limiting policy?
A. add stream selector DNSSelector1 client.udp.dns.domainadd ns limitIdentifier
DNSLimitIdentifier1 -threshold 5 -timeSlice 1000 -selectorName DNSSelector1add dns policy DNSLimitPolicy1 "sys.check_limit(\"DNSLimitIdentifier1\")" -preferredLocation "North
America.US.TX.Dallas.."bind dns global DNSLimitPolicy1 5
B. add stream selector DNSSelector1 client.udp.dns.domainadd ns limitIdentifier
DNSLimitIdentifier1 -threshold 5 -timeSlice 1000 -selectorName DNSSelector1add dns policy DNSLimitPolicy1 "sys.check_limit(\"DNSLimitIdentifier1\")" -preferredLocation "North
America.US.TX.Dallas.."
C. add stream selector DNSSelector1 client.udp.dns.domainadd ns limitIdentifier
DNSLimitIdentifier1 -threshold 1000 -timeSlice 1000 -selectorName DNSSelector1add dns policy DNSLimitPolicy1 "sys.check_limit(\"DNSLimitIdentifier1\")" -preferredLocation
"North America.US.TX.Dallas.."bind dns global DNSLimitPolicy1 5
D. add stream selector DNSSelector1 client.udp.dns.domainadd ns limitIdentifier
DNSLimitIdentifier1 -threshold 1000 -timeSlice 1000 -selectorName DNSSelector1add dns policy DNSLimitPolicy1 "sys.check_limit(\"DNSLimitIdentifier1\")" -preferredLocation
"North America.US.TX.Dallas.."
Answer: D

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