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NEW QUESTION: 1
DRAG DROP
DRAG DROP


Answer:
Explanation:

Explanation:

Box 1: Create a service namespace
The first step is to create an ACS Namespace. This is your Security Token Services (STS) that will generate Signed Identity tokens to be consumed by WAP. This will also be the only
STS that WAP will trust.
Box 2: Register the application as a relaying partner.
Now that the Namespace is created, you will have to tell it about the WAP Portals that is expecting tokens from it. We add the WAP Tenant Portal as a Relying Party to ACS
(Access Control Services).
Box 3: Add a Security Token Service (STS) reference in Visual Studio 2012.
Now that the Namespace is created, you will have to tell it about the WAP Portals that is expecting tokens from it.
1. Click on Relying Party Applications and click on Add to add the Windows Azure Pack tenant Portal as a Relying Party to this namespace. This essentially tells the ACS namespace that the Tenant Portal is expecting it to provide user identities.
2 . You will now go to the Add Relying Party Application page where you can enter details about the WAP tenant Portal.
3 . The easier option is to provide the federation Metadata from the tenant portal. Save the
XML file locally on your computer
4 . Now back in the ACS management portal, Upload the federation metadata file and provide a Display Name for the Relying Party.
5 . Scroll Down to the Token Format section and choose the token format to be 'JWT'. By
Default, the Windows Live Identity Provider will be selected. Deselect it if you do not want to allow users to sign in using their Live id. Under the Token Signing Settings section, select X.509 Certificate as the Type. Click on Save.
Box 4: Add the third-party as the identity provider.
We have our ACS and WAP portals setup. We now have to find a source of Identities that can be flown in to the WAP Portals through ACS. We configure external services to act as
Identity Providers
Box 5: Generate provider rules for claims
We now have our Relying Party and our Identity Providers set up. We should now tell ACS how to transform the incoming Claims from these Identity providers so that the Relying
Party can understand it. We do that using Rule Groups which are a set of rules that govern
Claim Transformation. Since, we have two identity Providers, we will have to create a rule for each of these.
References: https://blogs.technet.microsoft.com/privatecloud/2014/01/17/setting-up- windows-azure-active-directory-acs-to-provide-identities-to-windows-azure-pack/

NEW QUESTION: 2

A. Option D
B. Option B
C. Option C
D. Option A
Answer: B

NEW QUESTION: 3
A company has been purchased by another agency and the new security architect has identified new security goals for the organization. The current location has video surveillance throughout the building and entryways. The following requirements must be met:
1. Ability to log entry of all employees in and out of specific areas
2. Access control into and out of all sensitive areas
3. Two-factor authentication
Which of the following would MOST likely be implemented to meet the above requirements and provide a secure solution? (Select TWO).
A. Visitor logs
B. Proximity readers
C. Biometric readers
D. Mantrap
E. Motion detection sensors
Answer: B,C

NEW QUESTION: 4
In the context of Biometric authentication, what is a quick way to compare the accuracy of devices. In general, the device that have the lowest value would be the most accurate.
Which of the following would be used to compare accuracy of devices?
A. the CER is used.
B. the FRR is used
C. The FER is used
D. the FAR is used
Answer: A
Explanation:
equal error rate or crossover error rate (EER or CER): the rate at which both accept and reject errors are equal. The value of the EER can be easily obtained from the
ROC curve. The EER is a quick way to compare the accuracy of devices with different
ROC curves. In general, the device with the lowest EER is most accurate.
In the context of Biometric Authentication almost all types of detection permit a system's sensitivity to be increased or decreased during an inspection process. If the system's sensitivity is increased, such as in an airport metal detector, the system becomes increasingly selective and has a higher False Reject Rate (FRR).
Conversely, if the sensitivity is decreased, the False Acceptance Rate (FAR) will increase.
Thus, to have a valid measure of the system performance, the CrossOver Error Rate
(CER) is used.
The following are used as performance metrics for biometric systems:
false accept rate or false match rate (FAR or FMR): the probability that the system incorrectly matches the input pattern to a non-matching template in the database. It measures the percent of invalid inputs which are incorrectly accepted. In case of similarity scale, if the person is imposter in real, but the matching score is higher than the threshold, then he is treated as genuine that increase the FAR and hence performance also depends upon the selection of threshold value.
false reject rate or false non-match rate (FRR or FNMR): the probability that the system fails to detect a match between the input pattern and a matching template in the database.
It measures the percent of valid inputs which are incorrectly rejected.
failure to enroll rate (FTE or FER): the rate at which attempts to create a template from an input is unsuccessful. This is most commonly caused by low quality inputs.
failure to capture rate (FTC): Within automatic systems, the probability that the system fails to detect a biometric input when presented correctly.
template capacity: the maximum number of sets of data which can be stored in the system.
Reference(s) used for this question:
KRUTZ, Ronald L. & VINES, Russel D., The CISSP Prep Guide: Mastering the Ten
Domains of Computer Security, 2001, John Wiley & Sons, Page 37
and
Wikipedia at: https://en.wikipedia.org/wiki/Biometrics