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NEW QUESTION: 1

A. Option B
B. Option A
C. Option D
D. Option C
Answer: A
Explanation:
PPP: Provides router-to-router and host-to-network connections over synchronous and asynchronous circuits. PPP was designed to work with several network layer protocols, including IP. PPP also has built-in security mechanisms, such as Password Authentication Protocol (PAP) and Challenge Handshake Authentication Protocol (CHAP).

NEW QUESTION: 2
A network engineer integrates Meridian products into an existing WLAN deployment. How does ClearPass integrate with the Meridian apps?
A. ClearPass Policy Manager service matches the open authentication type and 5SID name to prompt the download of Meridian-powered app.
B. ClearPass Policy Manager enforces authentication profiles so that clients must authenticate prior to downloading the Meridian-powered app.
C. ClearPass Guest prompts the download of Meridian-powered app from a visitor WLAN.
D. ClearPass Guest ensures the user authenticates to the captive portal prior to connecting to the Guest WLAN.
Answer: D

NEW QUESTION: 3
エンタープライズ企業のデータサイエンスチームは、Amazon SageMakerに簡単にアクセスできる安全で費用対効果の高い方法を提供したいと考えています。データサイエンティストはAWSの知識が限られているため、Jupyterノートブックインスタンスを起動できる必要があります。ノートブックインスタンスには、複雑なセットアップ要件を公開することなく、機械学習ストレージボリューム上の保存データを暗号化するための事前構成済みのAWS KMSキーが必要です。
企業がデータサイエンティスト向けのセルフサービスメカニズムを設定して、運用上のオーバーヘッドが最も少ないAWSアカウントでJupyterノートブックを起動できるようにする方法はどれですか。
A. AWS CloudFormationテンプレートを作成し、事前設定されたKMSキーでAWS :: SaqeMaker :: Notebooklnstanceリソースタイプを使用してJupyterノートブックインスタンスを起動します。 CloudFormationテンプレートにわかりやすい名前を追加します。出力セクションを使用して、ノートブックへのURLを表示します。
共有のAmazon S3バケットを使用して、CloudFormationテンプレートをデータサイエンティストに配布します。
B. AWS CloudFormationテンプレートを作成し、事前設定されたKMSキーでAWS :: SageMaker :: Notebooklnstanceリソースタイプを使用してJupyterノートブックインスタンスを起動します。 CloudFormationの[Mappings]セクションを使用して、インスタンス名などのパラメーター名をSmall、Large、X-Largeにマッピングすることにより、パラメーター名を簡略化します。出力セクションを使用してノートブックのURLを表示し、テンプレートをデータサイエンティストのポートフォリオのAWSサービスカタログ製品にアップロードして、データサイエンティストの1AMロールと共有します。
C. データサイエンティストがローカルで実行できるAWS CLIスクリプトを作成します。 AWS CLIスクリプトを実行して事前構成されたKMSキーでJupyterノートブックを起動するときに提供されるパラメーターについて、手順を追って説明します。共有のAmazon S3バケットを使用して、CLIスクリプトをデータサイエンティストに配布します。
D. 静的Amazon S3ウェブサイトを使用してサーバーレスフロントエンドを作成し、データサイエンティストがフォームに入力してJupyterノートブックインスタンスをリクエストできるようにします。 Amazon API Gatewayを使用してS3ウェブサイトからリクエストを受信し、中央のAWS Lambda関数をトリガーして、データサイエンティスト用に事前構成されたKMSキーでノートブックインスタンスを起動するAmazon SageMakerをAPI呼び出します。次に、フロントエンドWebサイトにコールバックして、ノートブックインスタンスへのURLを表示します。
Answer: A