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NEW QUESTION: 1
Cisco ASAの一般的な管理プレーンの強化を使用する場合、管理プレーンで使用されるプロトコルとツールの2つのオプションはどれですか?
A. NetFlow
B. Syslog
C. Cisco URLフィルタリング
D. ICMP到達不能
E. ルーティングプロトコル認証
F. 脅威の検出
G. ユニキャストリバースパス転送
Answer: A,B
Explanation:
http://www.cisco.com/web/about/security/intelligence/firewall-best-practices.html
NEW QUESTION: 2
A system needs 3TB of disk storage, based on plans for expansion The storage manager of the IT department would like to use thin provisioning to make best use of storage space What disk technology would provide this type of capability?
A. Dual VIO Server with storage pooling
B. Storwize V7000 with RAID-5
C. EXP30 with SAS drives using EasyTier
D. Logical Volume Mirroring with RAID-1 on internal SSD
Answer: B
NEW QUESTION: 3
Option Subtotal Proportion
A. Kubernetes
B. Maratho
C. Horizon
D. Neutron
Answer: A,B
NEW QUESTION: 4
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have Azure IoT Edge devices that generate streaming data.
On the devices, you need to detect anomalies in the data by using Azure Machine Learning models. Once an anomaly is detected, the devices must add information about the anomaly to the Azure IoT Hub stream.
Solution: You deploy Azure Stream Analytics as an IoT Edge module.
Does this meet the goal?
A. Yes
B. No
Answer: A
Explanation:
Explanation
Available in both the cloud and Azure IoT Edge, Azure Stream Analytics offers built-in machine learning based anomaly detection capabilities that can be used to monitor the two most commonly occurring anomalies:
temporary and persistent.
Stream Analytics supports user-defined functions, via REST API, that call out to Azure Machine Learning endpoints.
References:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-machine-learning-anomaly-detection
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