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NEW QUESTION: 1
Refer to the exhibit.

Which statement is true?
A. The Cisco PfR State is UP; however, the receive capacity was not configured for inbound traffic.
B. The Cisco PfR state is UP; however, the external interface Et0/1 of border router 10.1.1.1 has exceeded the maximum available bandwidth threshold.
C. The Cisco PfR state is UP and is able to monitor traffic flows; however, MD5 authentication has not been successful between the master controller and the border routers.
D. The Cisco PfR state is UP; however, an issue is preventing the border router from establishing a TCP session to the master controller.
E. The Cisco PfR state is UP, and the link utilization out-of-policy threshold is set to 90 percent for traffic exiting the external links.
Answer: E
Explanation:
All three interfaces show as UP, and the capacity is set to 500 kbps, with the max threshold set to 450 kbps (90% of
500kbps).

NEW QUESTION: 2
Refer to the exhibit. What happens to the traffic that exceeds the CIR?

A. It is set an EXP value of 5 and dropped
B. It is set an EXP value of 5 and transmitted
C. It is set an EXP value of 3 and dropped
D. It is set an EXP value of 0 and transmitted
Answer: D

NEW QUESTION: 3
A team has just received a task to build an application that needs to recognize faces in streaming videos. They will get the source videos from a third party which use a container format (MKV).
The APP should be able to quickly address faces through the video in real time and save the output in a suitable manner for downstream to process. As recommended by the AWS Solutions Architect colleague, they would like to develop the service using AWS Rekognition. Which below options are needed to accomplish the task? Select 3.
A. S3 buckets to store the source MKV videos for AWS Rekognition to process. S3 should be used in this case as it has provided an unlimited, highly available and durable storing space.
Make sure that the third party has the write access to S3 buckets.
B. An Amazon Rekognition Video stream processor to manage the analysis of the streaming video. It can be used to start, stop, and manage stream processors according to needs.
C. A Kinesis video stream for sending streaming video to Amazon Rekognition Video. This can be done by using Kinesis PutMedia?API in Java SDK. The PutMedia operation writes video data fragments into a Kinesis video stream that Amazon Rekognition Video consumes.
D. Use EC2 or Lambda to call Rekognition API IetectFaces?with the source videos saved in S3 bucket. For each face detected, the operation returns face details. These details include a bounding box of the face, a confidence value, and a fixed set of attributes such as facial landmarks, etc.
E. After the APP has utilized Rekognition API to fetch the recognized faces from live videos, use S3 or RDS database to store the output from Rekognition. Another lambda can be used to post-process the result and present to UI.
F. A Kinesis data stream consumer to read the analysis results that Amazon Rekognition Video sends to the Kinesis data stream. It can be an Amazon EC2 instance by adding to one of Amazon Machine Images (AMIs). The consumer can be autoscaled by running it on multiple Amazon EC2 instances under an Auto Scaling group.
Answer: B,C,F