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NEW QUESTION: 1
After configuring an ISR with the Cisco Cloud Web Security connector, which command does a network engineer run to verify connectivity to the CWS proxy?
A. show scansafe statistics
B. show content-scan summary
C. show scansafe server
D. show content-scan statistics
Answer: B
Explanation:
Explanation
Explanation/Reference
To verify connectivity to the tower, issue the command show content-scan summary. As seen below, if connectivity is established with the CWS tower, you should see the word (Up) in parentheses.
router# show content-scan summary Primary: 72.37.244.115 (Up)*
Secondary: 80.254.152.99 (Up)
Interfaces: FastEthernet4
https://www.cisco.com/c/dam/en/us/products/collateral/security/router-security/cws-troubleshooting.pdf
NEW QUESTION: 2
철저한 분석 결과, 가해자가 SSL (Secure Socket Layer) VPN (가상 사설망) 게이트웨이를 통해 네트워크에 액세스하여 네트워크를 손상시키는 것으로 밝혀졌습니다. 가해자는 사용자 이름을 추측하고 무차별 암호로 액세스 권한을 얻습니다. 다음 중 이 문제를 완화시키는 최선의 방법은 무엇입니까?
A. 인터넷 프로토콜 보안 (IPSec) 클라이언트 구현
B. VPN을 중앙 자격 증명 저장소와 통합
C. VPN에 대한 강력한 비밀번호 인증 구현
D. 2 단계 인증 메커니즘 사용
Answer: D
NEW QUESTION: 3
Which talent cards are configurable in the Admin Center? Note: There are 3 correct answers to this question.
A. Talent Search
B. People Profile
C. Presentation
D. Succession
E. Calibration
Answer: A,B,C
NEW QUESTION: 4
You create an Azure Machine Learning workspace and set up a development environment. You plan to train a deep neural network (DNN) by using the Tensorflow framework and by using estimators to submit training scripts.
You must optimize computation speed for training runs.
You need to choose the appropriate estimator to use as well as the appropriate training compute target configuration.
Which values should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: Tensorflow
TensorFlow represents an estimator for training in TensorFlow experiments.
Box 2: 12 vCPU, 112 GB memory..,2 GPU,..
Use GPUs for the deep neural network.
Reference:
https://docs.microsoft.com/en-us/python/api/azureml-train-core/azureml.train.dnn