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NEW QUESTION: 1
展示を参照してください。

表示されたACIファブリックについて正しい説明はどれですか。
A. ノード１２１、１２２に接続されているエンドポイントが多すぎる。
B. 表示される容量情報はマルチポッド展開の典型的なものです。
C. 統合レイヤ4 - レイヤ7サービスは使用されていません。
D. このファブリックはVMM統合用に設定されています。
E. ユーザー定義テナントの数が26です。
Answer: E

NEW QUESTION: 2
EC2インスタンスにデプロイされたアプリケーションがDynamoDBテーブルにデータを書き込むことを許可するには、次のアイテムのうちどれが必要ですか？
EC2インスタンスにセキュリティキーを保存することは許可されていないと仮定します。 2つの答えを選択してください
A. DynamoDBテーブルへの書き込みアクセスを許可するIAMユーザーを作成します。
B. 起動構成に含まれるIAMロールでEC2インスタンスを起動します。
C. 実行中のEC2インスタンスにIAMユーザーを追加します。
D. 実行中のEC2インスタンスにIAMロールを追加します。
E. DynamoDBテーブルへの書き込みアクセスを許可するIAMロールを作成します。
F. 起動構成に含まれるIAMユーザーでEC2インスタンスを起動します。
Answer: D,E
Explanation:
Explanation
https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/iam-roles-for-amazon-ec2.html#attach-iam-role

NEW QUESTION: 3
An online photo album app has a key design feature to support multiple screens (e.g. desktop, mobile phone, and tablet) with high quality displays. Multiple versions of the image must be saved in different resolutions and layouts.
The image processing Java program takes an average of five seconds per upload, depending on the image size and format. Each image upload captures the following image metadata: user, album, photo label, upload timestamp The app should support the following requirements:
- Hundreds of user image uploads per second
- Maximum image metadata size of 10 MB
- Maximum image metadata size of 1 KB
- Image displayed in optimized resolution in all supported screens no later than one minute after image upload Which strategy should be used to meet these requirements?
A. Write image and metadata RDS with BLOB data type. Use AWS Data Pipeline to run the image processing and save the image output to Amazon S3 and metadata to the app repository DB
B. Upload image with metadata to Amazon S3 use Lambda function to run the image processing and save the image output to Amazon S3 and metadata to the app repository DB
C. Write image and metadata to Amazon kinesis. Use Amazon Elastic MapReduce (EMR) with Spark Streaming to run image processing and save image output to Amazon
D. Write images and metadata to Amazon Kinesis, Use a Kinesis Client Library (KCL) application to run the image processing and save the image output to Amazon S3 and metadata to the app repository DB
Answer: B