SAP-C02 第 512 题
题目
A media company has a 30-T8 repository of digital news videos. These videos are stored on tape in an on-premises tape library and referenced by a Media Asset Management (MAM) system. The company wants to enrich the metadata for these videos in an automated fashion and put them into a searchable catalog by using a MAM feature. The company must be able to search based on information in the video, such as objects, scenery items, or people’s faces. A catalog is available that contains faces of people who have appeared in the videos that include an image of each person. The company would like to migrate these videos to AWS. The company has a high-speed AWS Direct Connect connection with AWS and would like to move the MAM solution video content directly from its current file system. How can these requirements be met by using the LEAST amount of ongoing management overhead and causing MINIMAL disruption to the existing system?
中文翻译：
一家媒体公司拥有 30-T8 的数字新闻视频存储库。这些视频存储在本地磁带库的磁带上，并由媒体资产管理 (MAM) 系统引用。该公司希望以自动化的方式丰富这些视频的元数据，并使用 MAM 功能将它们放入可搜索的目录中。公司必须能够根据视频中的信息进行搜索，例如物体、风景或人脸。提供了一个目录，其中包含视频中出现的人员的面孔，其中包括每个人的图像。该公司希望将这些视频迁移到 AWS。该公司与 AWS 建立了高速 AWS Direct Connect 连接，并希望直接从其当前文件系统移动 MAM 解决方案视频内容。如何通过使用最少的持续管理开销并对现有系统造成最小的干扰来满足这些要求？
选项
A. Set up an AWS Storage Gateway, file gateway appliance on-premises. Use the MAM solution to extract the videos from the current archive and push them into the file gateway. Use the catalog of faces to build a collection in Amazon Rekognition. Build an AWS Lambda function that invokes the Rekognition Javascript SDK to have Rekognition pull the video from the Amazon S3 files backing the file gateway, retrieve the required metadata, and push the metadata into the MAM solution.
中文翻译：
在本地设置 AWS Storage Gateway、文件网关设备。使用 MAM 解决方案从当前存档中提取视频并将其推送到文件网关中。使用人脸目录在 Amazon Rekognition 中构建集合。构建一个调用 Rekognition Javascript SDK 的 AWS Lambda 函数，让 Rekognition 从支持文件网关的 Amazon S3 文件中提取视频、检索所需的元数据，并将元数据推送到 MAM 解决方案中。
B. Set up an AWS Storage Gateway, tape gateway appliance on-premises. Use the MAM solution to extract the videos from the current archive and push them into the tape gateway. Use the catalog of faces to build a collection in Amazon Rekognition. Build an AWS Lambda function that invokes the Rekognition Javascript SDK to have Amazon Rekognition process the video in the tape gateway, retrieve the required metadata, and push the metadata into the MAM solution.
中文翻译：
在本地设置 AWS Storage Gateway、磁带网关设备。使用 MAM 解决方案从当前存档中提取视频并将其推送到磁带网关中。使用人脸目录在 Amazon Rekognition 中构建集合。构建一个调用 Rekognition Javascript SDK 的 AWS Lambda 函数，让 Amazon Rekognition 处理磁带网关中的视频、检索所需的元数据，并将元数据推送到 MAM 解决方案中。
C. Configure a video ingestion stream by using Amazon Kinesis Video Streams. Use the catalog of faces to build a collection in Amazon Rekognition. Stream the videos from the MAM solution into Kinesis Video Streams. Configure Amazon Rekognition to process the streamed videos. Then, use a stream consumer to retrieve the required metadata, and push the metadata into the MAM solution. Configure the stream to store the videos in Amazon S3.
中文翻译：
使用 Amazon Kinesis Video Streams 配置视频提取流。使用人脸目录在 Amazon Rekognition 中构建集合。将视频从 MAM 解决方案流式传输到 Kinesis Video Streams。配置 Amazon Rekognition 以处理流式视频。然后，使用流使用者检索所需的元数据，并将元数据推送到 MAM 解决方案中。配置流以将视频存储在 Amazon S3 中。
D. Set up an Amazon EC2 instance that runs the OpenCV libraries. Copy the videos, images, and face catalog from the on- premises library into an Amazon EBS volume mounted on this EC2 instance. Process the videos to retrieve the required metadata, and push the metadata into the MAM solution, while also copying the video files to an Amazon S3 bucket.
中文翻译：
设置运行 OpenCV 库的 Amazon EC2 实例。将视频、图像和面部目录从本地库复制到安装在此 EC2 实例上的 Amazon EBS 卷中。处理视频以检索所需的元数据，并将元数据推送到 MAM 解决方案中，同时还将视频文件复制到 Amazon S3 存储桶。
答案
A
解析
正确答案：A 解析： 本题应选择 A。 正确选项： A. 在本地设置 AWS Storage Gateway、文件网关设备。使用 MAM 解决方案从当前存档中提取视频并将其推送到文件网关中。使用人脸目录在 Amazon Rekognition 中构建集合。构建一个调用 Rekognition Javascript SDK 的 AWS Lambda 函数，让 Rekognition 从支持文件网关的 Amazon S3 文件中提取视频、检...