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Home Forums AWS AWS Certified Solutions Architect Professional Another wrong answer..

  • AWSPro21

    Member
    January 21, 2024 at 5:54 pm

    A visual effects studio has over 40-TB worth of video files stored in the company’s on-premises tape library. The tape drives are managed by a Media Asset Management (MAM) solution. The video files contain a variety of footage which includes faces, objects, sceneries, cars, and many others. The company wants to automatically build a metadata library for the video files based on these objects. This will then be used as a catalog for the search feature of the MAM solution. The company already has a catalog of people’s photos and names that appeared on the video footage. The company wants to migrate all the video files of the MAM solution to AWS so a Direct Connect connection was provisioned from the on-premises data center to AWS to facilitate this.

    Which of the following is the MOST suitable implementation that will meet the company’s requirements?

    <ul data-question_id=”11204″ data-type=”single”>

  • A visual effects studio has over 40-TB worth of video files stored in the company’s on-premises tape library. The tape drives are managed by a Media Asset Management (MAM) solution. The video files contain a variety of footage which includes faces, objects, sceneries, cars, and many others. The company wants to automatically build a metadata library for the video files based on these objects. This will then be used as a catalog for the search feature of the MAM solution. The company already has a catalog of people’s photos and names that appeared on the video footage. The company wants to migrate all the video files of the MAM solution to AWS so a Direct Connect connection was provisioned from the on-premises data center to AWS to facilitate this.

    Which of the following is the MOST suitable implementation that will meet the company’s requirements?

    Securely upload the files to an Amazon S3 bucket using AWS Transfer for SFTP. Create an Amazon EC2 instance that will run GluonCV libraries to generate metadata information from the video files in the S3 bucket. Store the catalog of people’s faces and names in the Amazon EBS volume to be used by GluonCV. After processing the videos, push the generated metadata to the MAM solution search catalog.
    Create a stream in Amazon Kinesis Video Streams that will ingest the videos from the MAM system and store the videos to an Amazon S3 bucket. Configure the MAM solution to stream the videos into Kinesis Video Streams. Use Amazon Rekognition to build a collection based on the videos by using the catalog of people’s faces and names. Set up a stream consumer that will retrieve the generated metadata and then push it to the MAM solution search catalog.
    Configure the MAM solution to extract the video files from the current tape archives and move them to an Amazon S3 bucket using AWS DataSync. Use an Amazon SageMaker Jupyter notebook instance to build a collection based on the videos by using the catalog of people’s faces and names. Create an AWS Lambda function that will invoke Amazon SageMaker to pull the video files from the S3 bucket, retrieve the generated metadata, and then push it to the MAM solution search catalog.
    Provision an AWS Storage Gateway – file gateway appliance on the on-premises data center. Configure the MAM solution to extract the video files from the current tape archives and move them to the file gateway share which is then synced to Amazon S3. Use Amazon Rekognition to build a collection based on the videos by using the catalog of people’s faces and names. Create an AWS Lambda function that will invoke Rekognition to pull the video files from the S3 bucket, retrieve the generated metadata and then push it to the MAM solution search catalog.

  • I specifically eliminated the FILE Gateway option because the question explicitly says the files are on TAPE. How come this is the correct answer? This is so frustrating.

  • JR-TutorialsDojo

    Administrator
    January 24, 2024 at 9:26 pm

    Hi AWSPro21,

    Thanks for your feedback.

    In the given scenario, the company has a large amount of video data stored on tape drives in their on-premises data center. They want to move this data to AWS and also analyze the data to build a metadata library. The scenario also does not specify that the on-premises tape library needs to be replaced. It’s important to understand the difference between the AWS Storage Gateway’s File Gateway and Tape Gateway options and how they align with the company’s requirements.

    The AWS Storage Gateway service provides a way to securely move on-premises data to AWS. It offers different types of gateways, including File Gateway and Tape Gateway, each suited for different use cases.

    The Tape Gateway is designed to help you move away from physical tapes towards a virtual tape library in the cloud. It’s a great solution if you’re looking to archive data in AWS for long-term retention, typically using Amazon S3 Glacier or Glacier Deep Archive. However, it’s not designed for frequent data access or analysis.

    On the other hand, the File Gateway provides a seamless way to connect to the cloud to store application data files and backup images as durable objects on Amazon S3. It provides low-latency access to data through transparent local caching. This means that frequently accessed data is cached on-premises, providing your applications with low-latency access, while securely and durably storing your data in Amazon S3.

    In the context of the given question, the company not only wants to move the data to AWS, but they also want to frequently access and analyze the data using Amazon Rekognition. Therefore, the File Gateway would be a more suitable solution because it provides the low-latency access needed for frequent data analysis.

    I hope this helps! If you have any more questions, feel free to ask

    Best Regards,
    JR @ Tutorials Dojo

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