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NEW QUESTION: 1
Why is H-VPLS considered more scalable than flat VPLS?
A. It eliminates signaling overhead on core devices.
B. It minimizes signaling overhead by only requiring a full pseudowire mesh among N-PEs.
C. It minimizes signaling overhead by building two separate layers pseudowire meshes.
D. It eliminates signaling overhead between the N-PE and U-PE.
Answer: B,C

NEW QUESTION: 2
高セキュリティデータセンターを保護する生体認証アクセス制御システムを構成する場合、システムの感度レベルを設定する必要があります。
A. より高い誤認率（FAR）。
B. より高い偽拒否率（FRR）。
C. クロスオーバーエラー率を低くします。
D. 正確にクロスオーバーエラー率。
Answer: B
Explanation:
説明
生体認証のアクセス制御システムは確実ではありません。ソリューションを調整する場合、システムが有効なユーザーへのアクセスを拒否したり、誤ったユーザーへのアクセスを許可したりするエラーが発生しやすい偽拒否率（タイプIエラー率）を優先するように、感度レベルを調整する必要があります。生体認証システムの感度が調整されると、これらの値は逆に変化します。ある時点で、2つの値は交差して等しくなります。この条件は、システムの精度の尺度であるクロスオーバーエラー率を作成します。誤った拒否の可能性が問題となるシステムでは、感度を下げて、それによって誤った受け入れの数を増やすことが必要になる場合があります。これは、等エラー率（EER）と呼ばれることもあります。非常に機密性の高いシステムでは、不正な承認（アクセスを許可された許可されていない人の数）の数を最小限に抑えることが望ましい場合があります。これを行うために、システムはより敏感になるように調整されます。これにより、アクセスを許可されていない許可された人の数が増加し、誤って拒否されます。

NEW QUESTION: 3


Answer:
Explanation:

Explanation

NEW QUESTION: 4
ある会社には、データを2つの部分で処理するレガシーアプリケーションがあります。プロセスの2番目の部分は最初の部分よりも時間がかかるため、会社はアプリケーションを、独立して拡張できるAmazon ECSで実行される2つのマイクロサービスとして書き直すことにしました。ソリューションアーキテクトはマイクロサービスをどのように統合する必要がありますか？
A. マイクロサービス1にコードを実装して、AmazonSNSトピックにデータを公開します。このトピックをサブスクライブするには、マイクロサービス2にコードを実装します。
B. マイクロサービス1にコードを実装して、AmazonSQSキューにデータを送信します。マイクロサービス2にコードを実装して、キューからのメッセージを処理します。
C. マイクロサービス1にコードを実装して、Amazon Kinesis DataFirehoseにデータを送信します。マイクロサービス2にコードを実装して、Kinesis DataFirehoseから読み取ります。
D. マイクロサービス1にコードを実装して、AmazonS3バケットにデータを送信します。 S3イベント通知を使用してマイクロサービス2を呼び出す
Answer: B
Explanation:
This is a good use case for Amazon SQS. The microservices must be decoupled so they can scale independently. An Amazon SQS queue will enable microservice 1 to add messages to the queue. Microservice 2 can then pick up the messages and process them. This ensures that if there's a spike in traffic on the frontend, messages do not get lost due to the backend process not being ready to process them.
CORRECT: "Implement code in microservice 1 to send data to an Amazon SQS queue.
Implement code in microservice 2 to process messages from the queue" is the correct answer.
INCORRECT: "Implement code in microservice 1 to send data to an Amazon S3 bucket. Use S3 event notifications to invoke microservice 2" is incorrect as a message queue would be preferable to an S3 bucket.
INCORRECT: "Implement code in microservice 1 to publish data to an Amazon SNS topic.
Implement code in microservice 2 to subscribe to this topic" is incorrect as notifications to topics are pushed to subscribers. In this case we want the second microservice to pickup the messages when ready (pull them).
INCORRECT: "Implement code in microservice 1 to send data to Amazon Kinesis Data Firehose.
Implement code in microservice 2 to read from Kinesis Data Firehose" is incorrect as this is not how Firehose works. Firehose sends data directly to destinations, it is not a message queue.
References:
https://docs.aws.amazon.com/AWSSimpleQueueService/latest/SQSDeveloperGuide/welcome.ht ml