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NEW QUESTION: 1

Refer to the exhibit. A packet from network 10.0.1.0/24 destined for network 10.0.2.0/24 arrives at R1 on interface Gi0/0, but the router drops the packet instead of transmitting it out interface Gi0/1. Which feature that is configured on R1 can cause this problem?
A. uRPF
B. spanning tree
C. split horizon
D. UDLD
Answer: A
Explanation:
Explanation/Reference:
Explanation:

NEW QUESTION: 2
Refer to the exhibit.

What is the most likely cause of MAP1 association to MAP2 instead of directly to the RAP?
A. Incorrect radio configuration
B. Absorption and scattering caused by weather conditions.
C. Incorrect BGN
D. Default BGN
E. SNR
Answer: E
Explanation:
Explanation/Reference:
Explanation:

NEW QUESTION: 3
Das Erstellen einer festen Verknüpfung zu einer normalen Datei gibt einen Fehler zurück. Was könnte der Grund dafür sein?
A. Die Quelldatei ist schreibgeschützt.
B. Die Quelldatei ist ausgeblendet.
C. Die Quelle und das Ziel befinden sich auf unterschiedlichen Dateisystemen.
D. Die Quelldatei ist bereits ein fester Link.
E. Die Quelldatei ist ein Shell-Skript.
Answer: C

NEW QUESTION: 4
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, 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.
B. 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.
C. 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.
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 Video and create a stream processor to detect faces from a collection of known employees, and alert when non-employees are detected.
Answer: B
Explanation:
https://aws.amazon.com/blogs/machine-learning/video-analytics-in-the-cloud-and-at-the-edge- with-aws-deeplens-and-kinesis-video-streams/