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NEW QUESTION: 1
Which memory protection does the BL460c Gen9 support?
A. Double-Chip spare Mode
B. Round-robin 64-bit CRC
C. RAID Memory Mode
D. Online Spare Mode
Answer: D
Explanation:
Reference: http://h20000.www2.hp.com/bizsupport/TechSupport/Document.jsp?objectID=c03241047&lang=en&cc=us&taskId=&prodSeriesId=5177949&prodTypeId=3709945 (see memory protection in product features)

NEW QUESTION: 2
You have been tasked with provisioning a Managed File Transfer (MFT) Cloud Service on Oracle Cloud Infrastructure (OCI).
Which of provisioning requirement is NOT valid?
A. Provisioning MFT requires creating a SOA Cloud Service instance in OCI choosing "MFT Cluster" as a service type.
B. You can use any Oracle Database instance running in either OCI or OCI Classic.
C. You are required to obtain an authentication token for an Object Storage bucket within an accessible OCI compartment.
D. You must create a Virtual Cloud Network in OCI with at least two subnets.
Answer: D

NEW QUESTION: 3
An office security agency conducted a successful pilot using 100 cameras installed at key locations within the main office. Images from the cameras were uploaded to Amazon S3 and tagged using Amazon Rekognition, and the results were stored in Amazon ES. The agency is now looking to expand the pilot into a full production system using thousands of video cameras in its office locations globally. The goal is to identify activities performed by non-employees in real time Which solution should the agency consider?
A. Install AWS DeepLens cameras and use the DeepLens_Kinesis_Video module to stream video to Amazon Kinesis Video Streams for each camera. On each stream, use Amazon Rekognition Video and create a stream processor to detect faces from a collection on each stream, and alert when non-employees are detected.
B. Use a proxy server at each local office and for each camera, and stream the RTSP feed to a unique Amazon Kinesis Video Streams video stream. On each stream, use Amazon Rekognition Video and create a stream processor to detect faces from a collection of known employees, and alert when non-employees are detected.
C. Install AWS DeepLens cameras and use the DeepLens_Kinesis_Video module to stream video to Amazon Kinesis Video Streams for each camera. On each stream, run an AWS Lambda function to capture image fragments and then call Amazon Rekognition Image to detect faces from a collection of known employees, and alert when non-employees are detected.
D. Use a proxy server at each local office and for each camera, and stream the RTSP feed to a unique Amazon Kinesis Video Streams video stream. On each stream, use Amazon Rekognition Image to detect faces from a collection of known employees and alert when non-employees are detected.
Answer: A
Explanation:
https://aws.amazon.com/blogs/machine-learning/video-analytics-in-the-cloud-and-at-the-edge- with-aws-deeplens-and-kinesis-video-streams/