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NEW QUESTION: 1
Your network contains an Active Directory domain and a Microsoft Azure Active Directory (Azure AD) tenant.
You implement directory synchronization for all 10.000 users in the organization.
You automate the creation of 100 new user accounts.
You need to ensure that the new user accounts synchronize to Azure AD as quickly as possible Which command should you run? To answer, select the appropriate options in the answer area.
NOTE: Each correct select ion is worth one point.
Answer:
Explanation:
Explanation:
Azure AD Connect synchronizes Active Directory to Azure Active Directory on a schedule. The minimum time between synchronizations is 30 minutes.
If you want to synchronize changes to Active Directory without waiting for the next sync cycle, you can initiate a sync by using the Start-AdSyncSyncCycle. The Delta option synchronizes changes to Active Directory made since the last sync. The Full option synchronizes all Active Directory objects including those that have not changed.
Reference:
https://blogs.technet.microsoft.com/rmilne/2014/10/01/how-to-run-manual-dirsync-azure-active-directory-sync-updates/
NEW QUESTION: 2
ABRs advertise link state information about non-backbone areas into backbone areas. The backbone area then advertises the routing information into other non-backbone areas. Link state information about the backbone area cannot be advertised into non-backbone areas.
A. FALSE
B. TRUE
Answer: A
NEW QUESTION: 3
When a biometric system is used, which error type deals with the possibility of GRANTING access to impostors who should be REJECTED?
A. Type I error
B. Type III error
C. Type II error
D. Crossover error
Answer: C
Explanation:
Explanation/Reference:
When the biometric system accepts impostors who should have been rejected , it is called a Type II error or False Acceptance Rate or False Accept Rate.
Biometrics verifies an individual's identity by analyzing a unique personal attribute or behavior, which is one of the most effective and accurate methods of verifying identification.
Biometrics is a very sophisticated technology; thus, it is much more expensive and complex than the other types of identity verification processes. A biometric system can make authentication decisions based on an individual's behavior, as in signature dynamics, but these can change over time and possibly be forged.
Biometric systems that base authentication decisions on physical attributes (iris, retina, fingerprint) provide more accuracy, because physical attributes typically don't change much, absent some disfiguring injury, and are harder to impersonate.
When a biometric system rejects an authorized individual, it is called a Type I error (False Rejection Rate (FRR) or False Reject Rate (FRR)).
When the system accepts impostors who should be rejected, it is called a Type II error (False Acceptance Rate (FAR) or False Accept Rate (FAR)). Type II errors are the most dangerous and thus the most important to avoid.
The goal is to obtain low numbers for each type of error, but When comparing different biometric systems, many different variables are used, but one of the most important metrics is the crossover error rate (CER).
The accuracy of any biometric method is measured in terms of Failed Acceptance Rate (FAR) and Failed Rejection Rate (FRR). Both are expressed as percentages. The FAR is the rate at which attempts by unauthorized users are incorrectly accepted as valid. The FRR is just the opposite. It measures the rate at which authorized users are denied access.
The relationship between FRR (Type I) and FAR (Type II) is depicted in the graphic below . As one rate increases, the other decreases. The Cross-over Error Rate (CER) is sometimes considered a good indicator of the overall accuracy of a biometric system. This is the point at which the FRR and the FAR have the same value. Solutions with a lower CER are typically more accurate.
See graphic below from Biometria showing this relationship. The Cross-over Error Rate (CER) is also called the Equal Error Rate (EER), the two are synonymous.
Cross Over Error Rate
The other answers are incorrect:
Type I error is also called as False Rejection Rate where a valid user is rejected by the system.
Type III error : there is no such error type in biometric system.
Crossover error rate stated in percentage , represents the point at which false rejection equals the false acceptance rate.
Reference(s) used for this question:
http://www.biometria.sk/en/principles-of-biometrics.html
and
Shon Harris, CISSP All In One (AIO), 6th Edition , Chapter 3, Access Control, Page 188-189 and
Tech Republic, Reduce Multi_Factor Authentication Cost
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