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NEW QUESTION: 1
CORRECT TEXT
Answer:
Explanation:
Switch1>enable
Switch1#config t
Switch1(config)#interface fa0/12
Switch1(config-if)#switchport mode access
Switch1(config-if)#switchport port-security maximum 2
Switch1(config-if)#switchport port-security violation shutdown
Switch1(config-if)#no shut
Switch1(config-if)#end
Switch1#copy run start
NEW QUESTION: 2
会社には、15分ごとに更新される天気予報を生成するアプリケーションがあり、出力解像度は10億の一意の位置、それぞれサイズは約20バイト（20ギガバイト/予測）です。 1時間ごとに、予測データは世界中で約500万回（1秒あたり1,400リクエスト）にアクセスされ、気象イベント中には最大10倍アクセスされます。予測データは更新ごとに上書きされます。現在の天気予報アプリケーションのユーザーは、各リクエストに対してクエリへの応答が2秒未満で返されることを期待しています。
必要な要求率と応答時間を満たす設計はどれですか？
A. 予測場所をAmazon ESクラスターに保存します。クエリに応答するAWS Lambda関数をオリジンとして、API GatewayエンドポイントをターゲットとするAmazon CloudFrontディストリビューションを使用します。データをエッジの場所でローカルに15分間キャッシュするAmazon Lambda @ Edge関数を作成します。
B. 予測の場所をAmazon S3に個別のオブジェクトとして保存します。 EC2インスタンスのAuto ScalingフリートのElastic Load BalancingグループをターゲットとするAmazon CloudFrontディストリビューションを作成し、S3オブジェクトのオリジンをクエリします。 CloudFrontディストリビューションで、キャッシュ制御タイムアウトを15分に設定します。
C. 予測場所をAmazon EFSボリュームに保存します。 Amazon EFSボリュームをマウントしたAmazon EC2インスタンスのAuto ScalingフリートのElastic Load BalancingグループをターゲットとするAmazon CloudFrontディストリビューションを作成します。 CloudFrontディストリビューションで、キャッシュ制御タイムアウトの設定を15分に設定します。
D. 予測場所をAmazon ESクラスターに保存します。クエリに応答するAWS Lambda関数をオリジンとして、Amazon API GatewayエンドポイントをターゲットとするAmazon CloudFrontディストリビューションを使用します。
キャッシュ制御タイムアウトを15分に設定して、API GatewayステージでAPIキャッシングを有効にします。
Answer: D
Explanation:
https://aws.amazon.com/blogs/networking-and-content-delivery/lambdaedge-design-best-practices/
NEW QUESTION: 3
Answer:
Explanation:
NEW QUESTION: 4
A customer has a web application with HTTP Sessions that need to be replicated to a backup site that is more than 100 miles away from the primary site, connected over the Internet.
Which type of session replication in WebLogic is recommended?
A. WAN Replication
B. Asynchronous Replication
C. Database Replication
D. Synchronous Replication
E. MAN Replication
Answer: B
Explanation:
WAN HTTP Session State Replication
Resources in a wide area network (WAN) are frequently spread across separate geographical
regions. In addition to requiring network traffic to cross long distances, these resources are often
separated by multiple routers and other network bottle necks. Network communication in a WAN
generally has higher latency and slower interconnect.
Slower network performance within a WAN makes it difficult to use a synchronous replication
mechanism like the one used within a MAN. WebLogic Server provides failover across clusters in
WAN by using an asynchronous data replication scheme.
Note:
HTTP Session State Replication
Weblogic Server uses two methods for replicating HTTP session state across clusters: in-memory replication
*Using in-memory replication, WebLogic Server copies a session state from one server instance to another. The primary server creates a primary session state on the server to which the client first connects, and a secondary replica on another WebLogic Server instance in the cluster. The replica is kept up-to-date so that it may be used if the server that hosts the servlet fails.
*JDBC-based persistence In JDBC-based persistence, WebLogic Server maintains the HTTP session state of a servlet or JSP using file-based or JDBC-based persistence. JDBC-based persistence is also used for HTTP session state replication within a Wide Area Network (WAN).