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All the features for the Salesforce exam were great.
NEW QUESTION: 1
You use Forefront Identity Manager (FIM) 2010 in your company network. The network has an HR system that contains a record of all employees. You create the FIM Management Agent (MA) by using default settings. The sAMAccountName has been marked as "Use for Existence test." You confirm that the user accounts in the portal are correctly marked for provisioning. You run a Delta Import (Stage Only) profile on the FIM MA and confirm that the employee accounts arrive in the connector space. However, when you run a synchronization profile, provisioning and projection do not occur. You need to ensure that employee user objects are provisioned to Active Directory.
What should you do? (Choose all that apply.)
A. Add an export attribute flow on the FIM Service MA for the ExpectedRulesList attribute.
B. Add an export attribute flow on the FIM Service MA for the DetectedRulesList attribute.
C. Add an import attribute flow on the FIM Service MA for the DetectedRulesList attribute.
D. On the FIM Service MA, map the connector space Person object to the metaverse Person object.
E. Add an import attribute flow on the FIM Service MA for the ExpectedRulesList attribute.
Answer: B,D,E
NEW QUESTION: 2
What is the goal of MPLS Traffic Engineering?
A. To establish additional LSPs across the network
B. To enable the implementation of services
C. To allow ECMP to occur across an MPLS network
D. To utilize paths other than the lowest cost path
Answer: D
NEW QUESTION: 3
신경망은 다음과 같은 이유로 사기를 탐지하는데 효과적입니다.
A. 본질적으로 선형이기 때문에 새로운 경향을 발견하십시오.
B. 크고 일반적인 교육 자료 집합을 얻을 수없는 문제를 해결합니다.
C. 변수를 출력에 관련시키는 커브의 모양에 대한 가정을합니다.
D. 많은 수의 입력 변수를 고려해야 하는 공격 문제.
Answer: D
Explanation:
설명:
신경망은 수많은 입력 변수를 고려해야 하는 문제를 공격하는 데 사용될 수 있습니다. 그들은 다른 통계 방법으로는 놓친 관계와 패턴을 포착 할 수 있지만 새로운 경향을 발견하지는 못합니다. 신경 회로망은 본질적으로 비선형이며 출력에 변수를 관련시키는 곡선의 모양에 대해 가정하지 않습니다. 신경 네트워크는 충분하고 크고 일반적인 교육 데이터 세트를 얻을 수없는 문제를 해결하는데는 적합하지 않습니다.
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