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NEW QUESTION: 1

A. Option B
B. Option A
C. Option D
D. Option C
Answer: B
Explanation:
Stuxnet is a computer worm that targets industrial control systems that are used to monitor and control large scale industrial facilities like power plants, dams, waste processing systems and similar operations. It allows the attackers to take control of these systems without the operators knowing. This is the first attack we've seen that allows hackers to manipulate real-world equipment, which makes it very dangerous.
Source: https://us.norton.com/stuxnet

NEW QUESTION: 2
Refer to the exhibit
<img src="CCIE_RS_400-101_140q-66_48.jpg" width="487" height="295">
Which two statements about this egress queue are true? (Choose two.)
A. The queue 3 buffer is allocated 30 percent, its drop threshold is 100 percent, and it can use at maximum 400 percent of memory
B. The queue 2 buffer is allocated 30 percent, its drop threshold is 200 percent, and it can use at maximum 400 percent of memory
C. The queue 3 buffer is allocated 20 percent, its drop threshold is 100 percent, and it is guaranteed 400 percent of memory
D. The queue 1 buffer is allocated 30 percent, its drop threshold is 100 percent, and it is guaranteed 150 percent of memory
E. The queue 1 buffer is allocated 30 percent, its drop threshold is 25 percent, and it is guaranteed 100 percent of memory
Answer: B,E
Explanation:
Explanation/Reference:
Section: (none)
Explanation/Reference

NEW QUESTION: 3
You need to recommend the appropriate technology to provide the predictive analytics for passenger pickup.
What should you do?
A. Use Power BI to analyze the traffic data and PowerPivot to categorize the results.
B. Use HDInsight to analyze the traffic data and write a .NET program to categorize the results.
C. Use Machine Learning Studio to create a predictive model and publish the results as a web service.
D. Use Hadoop on-premises to analyze the traffic and produce a report that shows high traffic zones.
Answer: C
Explanation:
Explanation/Reference:
Explanation:
Scenario: Predictive Routing:
An Azure solution must be used for prediction systems.

Predictive analytics must be published as a web service and accessible by using the REST API.

Microsoft Azure Machine Learning Studio is a collaborative visual development environment that enables you to build, test, and deploy predictive analytics solutions that operate on your data. The Machine Learning service and development environment is cloud-based, provides compute resource and memory flexibility, and eliminates setup and installation concerns because you work through your web browser.
References: https://azure.microsoft.com/en-us/documentation/articles/machine-learning-what-is-ml-studio/

NEW QUESTION: 4
망막 스캔 생체 인식 장치는 어떤 물리적 특성을 측정합니까?
A. 망막의 크기, 곡률 및 모양
B. 눈의 뒷부분에 있는 빛 수용체의 패턴
C. 눈 뒤쪽에있는 혈관의 패턴
D. 망막에서 반사되는 빛의 양
Answer: C