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NEW QUESTION: 1
モバイルデバイスのサポート要件を実装する必要があります。
ProcessRequestメソッドをどのように構築する必要がありますか？ 回答するには、回答エリアで適切なオプションを選択します。

Answer:
Explanation:

NEW QUESTION: 2
Which of the following rules must be added to a mount target security group to access Amazon Elastic File System (EFS) from an on-premises server?
A. Configure an NFS proxy between Amazon EFS and the on-premises server to route traffic.
B. Permit secure traffic to the Kerberos port 88 from the on-premises server.
C. Allow inbound traffic to the Network File System (NFS) port (2049) from the on-premises server.
D. Set up a Point-To-Point Tunneling Protocol Server (PPTP) to allow secure connection.
Answer: C
Explanation:
説明
By mounting an Amazon EFS file system on an on-premises server, on-premises data can be migrated into the AWS Cloud. Any one of the mount targets in your VPC can be used as long as the subnet of the mount target is reachable by using the AWS Direct Connect connection. To access Amazon EFS from an on-premises server, a rule must be added to the mount target security group to allow inbound traffic to the NFS port (2049) from the on-premises server.
http://docs.aws.amazon.com/efs/latest/ug/how-it-works.html

NEW QUESTION: 3
Which two options are not task attributes for financial task structure?
A. Task Type
B. Work Type
C. Chargeable Flag
D. Scheduled Dates
E. Service Type
Answer: C,E
Explanation:
Incorrect:
Not A:Task types assign default attributes to tasks and control how Oracle Projects processes
tasks. Task types specify basic task attributes.
Not C:Work types represent a classification of work. You use work types to classify both actual
and scheduled work.
Not E:Oracle Projects uses start and finish dates to control processing, indicate estimated and
scheduled duration, and serve as tools to evaluate project performance.
The start and finish dates at the project level are:
Actual: Actual dates when work on the project started and finished. You can use these dates to
drive future timecard and earned value functionality.
(not E)Scheduled: Scheduled start and finish dates for the project.
Target: The expected lifespan of the project.
Estimated: A task manager's estimate of when work on the project will be started and finished.
Baseline: The baselined schedule

NEW QUESTION: 4
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.