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NEW QUESTION: 1
サードパーティのサービスに関連する情報セキュリティリスクに対処するための最も効果的な方法は次のうちどれですか？
A. 実装前にサービスのセキュリティテストを実施します。
B. 適切なセキュリティ要件を契約に含めます。
C. サードパーティの従業員にセキュリティ意識向上トレーニングを提供します。
D. サービスのリスク評価を実行します。
Answer: D

NEW QUESTION: 2
あなたはDynamics 365 Financeシステム管理者です。
アカウントマネージャーは、ワークスペースを使用して顧客の主要なデータを監視し、さらにアクションを実行するためにフォームに移動する必要があります。
これらのニーズを実現するには、ワークスペース要素を含める必要があります。
どのデザイン要素を使用する必要がありますか？回答するには、回答領域で適切な構成を選択します。
注：それぞれの正しい選択には1ポイントの価値があります。

Answer:
Explanation:

Explanation

NEW QUESTION: 3
A team has just received a task to build an application that needs to recognize faces in streaming videos. They will get the source videos from a third party which use a container format (MKV).
The APP should be able to quickly address faces through the video in real time and save the output in a suitable manner for downstream to process. As recommended by the AWS Solutions Architect colleague, they would like to develop the service using AWS Rekognition. Which below options are needed to accomplish the task? Select 3.
A. After the APP has utilized Rekognition API to fetch the recognized faces from live videos, use S3 or RDS database to store the output from Rekognition. Another lambda can be used to post-process the result and present to UI.
B. A Kinesis data stream consumer to read the analysis results that Amazon Rekognition Video sends to the Kinesis data stream. It can be an Amazon EC2 instance by adding to one of Amazon Machine Images (AMIs). The consumer can be autoscaled by running it on multiple Amazon EC2 instances under an Auto Scaling group.
C. An Amazon Rekognition Video stream processor to manage the analysis of the streaming video. It can be used to start, stop, and manage stream processors according to needs.
D. A Kinesis video stream for sending streaming video to Amazon Rekognition Video. This can be done by using Kinesis PutMedia?API in Java SDK. The PutMedia operation writes video data fragments into a Kinesis video stream that Amazon Rekognition Video consumes.
E. S3 buckets to store the source MKV videos for AWS Rekognition to process. S3 should be used in this case as it has provided an unlimited, highly available and durable storing space.
Make sure that the third party has the write access to S3 buckets.
F. Use EC2 or Lambda to call Rekognition API IetectFaces?with the source videos saved in S3 bucket. For each face detected, the operation returns face details. These details include a bounding box of the face, a confidence value, and a fixed set of attributes such as facial landmarks, etc.
Answer: B,C,D