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NEW QUESTION: 1
다음 중 활동 기간 예측을 위한 도구 및 기법은 무엇입니까?
A. 상향식 견적
B. 몬테카를로 분석
C. 하향식 견적
D. 매개 변수 추정
Answer: D

NEW QUESTION: 2
You are developing a new mobile application and are considering storing user preferences in AWS. This would provide a more uniform cross-device experience to users using multiple mobile devices to access the application. The preference data for each user is estimated to be 50KB in size. Additionally, 5 million customers are expected to use the application on a regular basis.
The solution needs to be cost- effective, highly-available, scalable and secure.
How would you design a solution to meet the above requirements?
A. Store the user preference data in S3. Setup a DynamoDB table with an item for each user and an item attribute pointing to the user's S3 object.
The mobile application will retrieve the S3 URL from DynamoDB and then access the S3 object directly.
Utilize STS, Web Identity Federation, and S3 ACLs to authenticate and authorize access.
B. Setup a DynamoDB table with an item for each user having the necessary attributes to hold the user preferences.
The mobile application will query the user preferences directly from the DynamoDB table.
Utilize STS, Web Identity Federation, and DynamoDB Fine Grained Access Control to authenticate and authorize access.
C. Setup an RDS MySQL instance in 2 availability zones to store the user preference data.
Deploy a public facing application on a server in front of the database to manage security and access credentials.
D. Setup an RDS MySQL instance with multiple read replicas in 2 availability zones to store the user preference data.
The mobile application will query the user preferences from the read replicas. Leverage the MySQL user management and access privilege system to manage security and access credentials.
Answer: B
Explanation:
https://aws.amazon.com/blogs/aws/fine-grained-access-control-for-amazon-dynamodb/ Here are some of the things that you can build using fine-grained access control:
A mobile app that displays information for nearby airports, based on the user's location. The app can access and display attributes such airline names, arrival times, and flight numbers. However, it cannot access or display pilot names or passenger counts.
A mobile game which stores high scores for all users in a single table. Each user can update their own scores, but has no access to the other ones.

NEW QUESTION: 3
다음 중 보안 사고에 대한 디지털 포렌식 프로세스를 검토하는 IS 감사인이 우려해야 하는 것은 무엇입니까?
A. 원본 증거가 있는 미디어는 쓰기 기록이 없습니다.
B. 원본 미디어의 이미지를 사용하여 분석을 수행했습니다.
C. 영향을 받는 컴퓨터는 사고 발생 후 즉시 종료되지 않았습니다.
D. 포렌식 전문가는 오픈 소스 포렌식 도구를 사용했습니다.
Answer: A

NEW QUESTION: 4
会社には、予測可能なピークのトラフィック時間を持つアプリケーションがあります。会社は、ピーク時にのみアプリケーションインスタンスをスケールアップしたいと考えています。アプリケーションはAmazon DynamoDBに状態を保存します。アプリケーション環境では、標準のNode.jsアプリケーションスタックと、プライベートGitリポジトリに保存されているカスタムChefレシピが使用されます。
最も費用対効果が高く、アプリケーション環境のローリング更新を実行する際に最小限の管理オーバーヘッドが必要なソリューションはどれですか？
A. AWS OpsWorksスタックを設定し、カスタムChefクックブックを使用します。カスタムレシピが保存されているGitリポジトリ情報を追加し、Node.jsアプリケーションサーバーのOpsWorksにレイヤーを追加します。
次に、カスタムレシピを構成して、デプロイ手順でアプリケーションをデプロイします。時間ベースのインスタンスを設定し、DynamoDBへのアクセス許可を提供するAmazon EC2 IAMロールをアタッチします。
B. Chefレシピを使用して、Node.js環境とアプリケーションスタックでカスタムAMIを作成します。 Auto ScalingグループでAMIを使用し、必要な時間のスケジュールされたスケーリングを設定してから、DynamoDBへのアクセス許可を提供するAmazon EC2 IAMロールを設定します。
C. 公式のNode.js Dockerイメージに基づいて、アプリケーション環境用のChefレシピを使用するDockerファイルを作成します。アプリケーション環境用にAmazon ECSクラスターとサービスを作成し、このDockerイメージに基づいてタスクを作成します。スケジュールされたスケーリングを使用して、適切なタイミングでコンテナーをスケーリングし、DynamoDBへのアクセス許可を提供するタスクレベルのIAMロールをアタッチします。
D. AWS OpsWorksスタックを設定し、カスタムレシピをAmazon S3バケットにプッシュし、S3バケットを指すようにカスタムレシピを設定します。次に、標準Node.jsアプリケーションサーバーのアプリケーションレイヤータイプを追加し、カスタムレシピを設定して、S3バケットからのデプロイ手順でアプリケーションをデプロイします。時間ベースのインスタンスを設定し、DynamoDBへのアクセス許可を提供するAmazon EC2 IAMロールをアタッチします
Answer: D