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NEW QUESTION: 1
솔루션 설계자는 AWS에서 응용 프로그램을 설계하고 있습니다. 건축가는 보안상의 이유로 인터넷을 통해 응용 프로그램 또는 데이터베이스 계층을 노출 시켜서는 안됩니다. 애플리케이션은 저비용이어야 하며 확장 가능한 프런트 엔드여야 합니다. 데이터베이스 및 응용 프로그램 계층에는 소프트웨어 및 패치 업데이트를 다운로드하는데 단방향 인터넷 액세스만 있어야 합니다.
어떤 솔루션이 이러한 요구 사항을 충족시키는데 도움이됩니까?
A. 응용 프로그램 계층의 프런트 엔드로 ELB Classic Load Balancer를 사용하고 개인 자원에 인터넷 액세스를 허용하는 NAT 게이트웨이
B. 응용 프로그램 계층의 프런트 엔드로 ELB Classic Load Balancer를 사용하고 개인 자원에 인터넷 액세스를 허용하는 Amazon EC2 프록시 서버
C. NAT 계층을 응용 프로그램 계층의 프런트 엔드로 사용하고 개인 리소스가 인터넷에 액세스 할 수있게합니다.
D. 응용 프로그램 계층의 프런트 엔드로 Amazon EC2 기반 프록시 서버를 사용하고 개인 자원에 인터넷 액세스를 허용하는 NAT 게이트웨이
Answer: A
Explanation:
설명
하나 이상의 수신기를 지정하여 수신 트래픽을 허용하도록 부하 분산 장치를 구성합니다. 리스너는 연결 요청을 확인하는 프로세스입니다. 클라이언트에서로드 밸런서로의 연결에 대한 프로토콜 및 포트 번호와로드 밸런서에서 대상으로의 연결에 대한 프로토콜 및 포트 번호로 구성됩니다.
Elastic Load Balancing은 Application Load Balancer, Network Load Balancer 및 Classic Load Balancer와 같은 세 가지 유형의로드 밸런서를 지원합니다. 로드 밸런서를 구성하는 방법에는 주요 차이점이 있습니다. 응용 프로그램로드 밸런서 및 네트워크로드 밸런서를 사용하면 대상 그룹에 대상을 등록하고 대상 그룹에 트래픽을 라우팅 할 수 있습니다. 클래식로드 밸런서를 사용하면 인스턴스를 로드 밸런서에 등록 할 수 있습니다.

NEW QUESTION: 2
How to Add the Query transform to the workspace between the source and target?
A. To connect the Query transform to the target template table, select the Query transform, hold down the left mouse button, drag the cursor to the target table, and release the mouse button.
B. To connect the source table to the Query transform, select the source table, hold down the left mouse button, drag the cursor to the Query transform, and release the mouse button.
C. To open the Query Editor , in the data flow workspace, double click the Query transform.
D. To add a new Query template to the data flow, in the tool palette, choose the Query Transform icon, and click the workspace.
Answer: A,B,D

NEW QUESTION: 3
あなたは鉄道会社のスキルを設計しています。可能なすべての鉄道駅のリストである値リストエンティティ（StationEntity）を作成しました。インテント（Routelnfolntent）を解決するには、ユーザーが駅へのルートか駅からのルートのどちらを求めているかを判断する必要があります。
ユーザー入力からこの情報を抽出するための最も堅牢で効率的なアプローチを説明しているステートメントはどれですか？
A. StationEntityが重複しています。 1つのバージョンでは、すべての駅名の前に「to」を付け、もう1つのバージョンでは「from」の前に付けます。次に、両方のエンティティをRoutelnfolntentインテントに追加します。
B. 「to」と「from」の値を持ち、各値に適切な同義語を使用して、ToFromEntltyという値リストエンティティを作成します。 DirectionStationという値リストを作成し、これにToFromEntityとStationEntityを追加します。次に、DirectionStationをRoutelnfolntentに追加します。
C. StationEntityをRoutelnfolntentインテントに追加してから、「from」で始まるフレーズでトレーニングデータを更新します。
D. StationEntityに基づいて2つの派生エンティティを作成します。 1つのエンティティで、前のフレーズを「to」に設定します（必要な同義語とともに）。他のエンティティでも同じことを行いますが、前のフレーズ「from」を使用します。両方のエンティティをRoutelnfolntentインテントに追加します。
Answer: D