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NEW QUESTION: 1
A. Option B
B. Option A
C. Option D
D. Option C
Answer: A
NEW QUESTION: 2
Password history policies are used to prevent:
A. Social engineering
B. Brute force attacks
C. Passwords from being reused immediately
D. Users from sharing passwords
Answer: C
Explanation:
This security setting determines the number of unique new passwords that have to be associated with a user account before an old password can be reused. The value must be between 0 and 24 passwords. This policy enables administrators to enhance security by ensuring that old passwords are not reused continually.
Reference: http://technet.microsoft.com/en-us/library/cc758950(v=ws.10).aspx
NEW QUESTION: 3
You need to recommend the appropriate technology to provide the predictive analytics for passenger pickup.
What should you do?
A. Use Machine Learning Studio to create a predictive model and publish the results as a web service.
B. Use Power BI to analyze the traffic data and PowerPivot to categorize the results.
C. Use Hadoop on-premises to analyze the traffic and produce a report that shows high traffic zones.
D. Use HDInsight to analyze the traffic data and write a .NET program to categorize the results.
Answer: A
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.
Reference: What is Azure Machine Learning Studio?
https://azure.microsoft.com/en-us/documentation/articles/machine-learning-what-is-ml-studio/