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NEW QUESTION: 1
A media analytics company consumes a stream of social media posts. The posts are sent to an Amazon Kinesis data stream partitioned on user_id. An AWS Lambda function retrieves the records and validates the content before loading the posts into an Amazon Elasticsearch cluster. The validation process needs to receive the posts for a given user in the order they were received. A data analyst has noticed that, during peak hours, the social media platform posts take more than an hour to appear in the Elasticsearch cluster.
What should the data analyst do reduce this latency?
A. Increase the number of shards in the stream.
B. Migrate the Lambda consumers from standard data stream iterators to an HTTP/2 stream consumer.
C. Migrate the validation process to Amazon Kinesis Data Firehose.
D. Configure multiple Lambda functions to process the stream.
Answer: A

NEW QUESTION: 2
You are tasked with creating a new campaign using Email Message Designer and RPL. You developed HTML and RPL code.
What are the next steps to create a campaign using the code as a base for the campaign in Responsys?
A. Navigate to Campaign > Create Classic Email Campaign. Enter the campaign name and information.
Then, paste the code into EMD and validate.
B. Navigate to Campaign > EMD Campaign. Enter the campaign name and information. Then, paste the code into EMD and validate.
C. Navigate to Campaign > Create Email Campaign. Enter the campaign name and information. Then, paste the code into EMD and validate.
D. Navigate to Campaign > Create Mobile SMS Campaign. Enter the campaign name and information.
Then, paste the code into EMD and validate.
Answer: B

NEW QUESTION: 3
A media company has a 30-TB 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?
A. 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.
B. 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.
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.
D. Set up an Amazon EC2 instance that runs the OpenCV libraries. Copy the videos, images, and face catalog from the one-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.
Answer: B
Explanation:
A\B: By replacing the physical tape library with file gateway, it has the least amount of management and disruption. It would require us to restore the 30TB to another format (NFS\SMB style) in order to put it on the file gateway which cannot serve as a VTL. I don't think it's possible for Amazon Rekognition to process the video in the tape gateway which is on premise or access the data from S3 directly.
A: File gateway supports Linux clients connecting to the gateway using Network File System (NFS) versions 3 and 4.1 for Linux clients, and supports Windows clients connecting to the gateway using Server Message Block (SMB) versions 2 and 3.
B: No. You cannot access virtual tape data using Amazon S3 or Amazon S3 Glacier APIs.
However, you can use the tape gateway APIs to manage your virtual tape library and your virtual tape shelf.
https://aws.amazon.com/storagegateway/faqs/?nc=sn&loc=6
C: This is not possible because the data are in tape format.
D: This loosk more like the job for Rekognition.