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NEW QUESTION: 1
What VPN feature allows traffic to exit the security appliance through the same interface it entered?
A. split tunneling
B. NAT
C. hairpinning
D. NAT traversal
Answer: C
Explanation:
Explanation
In network computing, hairpinning (or NAT loopback) describes a communication between two hosts behind the same NAT device using their mapped endpoint. Because not all NAT devices support this communication configuration, applications must be aware of it.
Hairpinning is where a machine on the LAN is able to access another machine on the LAN via the external IP address of the LAN/router (with port forwarding set up on the router to direct requests to the appropriate machine on the LAN).
Source: https://en.wikipedia.org/wiki/Hairpinning

NEW QUESTION: 2
A 42-year-old male client has been treated at an alcoholic rehabilitation center for physiological alcohol dependence. The nurse will be able to determine that he is preparing for discharge and is effectively coping with his problem when he shares with her the following information:
A. "I know that I can only drink one or two drinks at social gatherings in the future, but at least I don't have to continue AA."
B. "It really wasn't my fault that I had to come here. If my wife hadn't left, I wouldn't have needed those drinks."
C. "I really wasn't addicted to alcohol when I came here, I just needed some help dealing with my divorce."
D. "I know that I will not ever be able to socially drink alcohol again and will need the support of the AA group."
Answer: D
Explanation:
Explanation
(A) The client has insight into the severity of his alcohol addiction and has chosen one of the most effective treatment strategies to support him-Alcoholics Anonymous. (B) The client is still using denial and is not dealing with his alcohol addiction. (C) The client is exhibiting denial about his alcohol addiction and projecting blame on his divorce. (D) The client is projecting blame onto his wife for being in the hospital while still denying his alcohol addiction.

NEW QUESTION: 3
Overview:
Litware, Inc. is a company that manufactures personal devices to track physical activity and other health- related data.
Litware has a health tracking application that sends health-related data from a user's personal device to Microsoft Azure.
Litware has three development and commercial offices. The offices are located in the United States, Luxembourg, and India.
Litware products are sold worldwide. Litware has commercial representatives in more than 80 countries.
Existing Environment:
In addition to using desktop computers in all of the offices, Litware recently started using Microsoft Azure resources and services for both development and operations.
Litware has an Azure Machine Learning solution.
Litware recently extended its platform to provide third-party companies with the ability to upload data from devices to Azure. The data can be aggregated across multiple devices to provide users with a comprehensive view of their global health activity.
While the upload from each device is small, potentially more than 100 million devices will upload data daily by using an Azure event hub.
Each health activity has a small amount of data, such as activity type, start date/time, and end date/time.
Each activity is limited to a total of 3 KB and includes a customer identification key.
In addition to the Litware health tracking application, the users' activities can be reported to Azure by using an open API.
The developers at Litware perform Machine Learning experiments to recommend an appropriate health activity based on the past three activities of a user.
The Litware developers train a model to recommend the best activity for a user based on the hour of the day.
Requirements:
Litware plans to extend the existing dashboard features so that health activities can be compared between the users based on age, gender, and geographic region.
Minimize the costs associated with transferring data from the event hub to Azure Storage.
Litware identifies the following technical requirements:
Data from the devices must be stored for three years in a format that enables the fast processing of

date fields and filtering.
The third-party companies must be able to use the Litware Machine Learning models to generate

recommendations to their users by using a third-party application.
Any changes to the health tracking application must ensure that the Litware developers can run the

experiments without interrupting or degrading the performance of the production environment.
Activity tracking data must be available to all of the Litware developers for experimentation. The developers must be prevented from accessing the private information of the users.
When the Litware health tracking application asks users how they feel, their responses must be reported to Azure.
You need to recommend a data handling solution to support the planned changes to the dashboard.
What is the best recommendation to achieve the goal? More than one answer choice may achieve the goal. Select the BEST answer.
A. compression
B. encryption
C. obfuscation
D. anonymization
Answer: C
Explanation:
Explanation/Reference:
Explanation:
From scenario: Litware plans to extend the existing dashboard features so that health activities can be compared between the users based on age, gender, and geographic region.
The developers must be prevented from accessing the private information of the users.
Dynamic Data Masking can be used to hide or obfuscate sensitive data, by controlling how the data appears in the output of database queries.
Dynamic Data Masking rules can be defined on particular columns, indicating how the data in those columns will appear when queried. There are no physical changes to the data in the database itself; the data remains intact and is fully available to authorized users or applications. Database operations remain unaffected, and the masked data has the same data type as the original data, so DDM can often be applied without making any changes to database procedures or application code.
Reference: https://blogs.technet.microsoft.com/dataplatforminsider/2016/01/25/use-dynamic-data- masking-to-obfuscate-your-sensitive-data/

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