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NEW QUESTION: 1
A FortiGate device has the following LDAP configuration:
config user ldap
edit "WindowsLDAP"
set server "10.0.1.10"
set cnid "cn"
set dn "cn=Users, dc=trainingAD, dc=training, dc=lab"
set type regular
set username "dc=trainingAD, dc=training, dc=lab"
set password xxxxxxx
next
end
The administrator executed the 'dsquery' command in the Windows LDAP server 10.0.1.10, and got the following output:
> dsquery user -samid administrator
" CN=Administrator, CN=Users, DC=trainingAD, DC=training, DC=lab"
Based on the output, what FortiGate LDAP setting is configured incorrectly?
A. cnid.
B. dn.
C. username.
D. password.
Answer: A

NEW QUESTION: 2
Many approaches to Knowledge Discovery in Databases (KDD) are used to identify valid and useful patterns in data. This is an evolving field of study that includes a variety of automated analysis solutions such as Data Mining. Which of the following is not an approach used by KDD?
A. Probabilistic
B. Oriented
C. Classification
D. Deviation
Answer: B
Explanation:
The Oriented approach does not correctly describe a KDD approach.
The main approaches of KDD according to CBK are:
Probabilistic approach: uses graphical representation models to compare different knowledge representations. The models are based on probabilities and data independencies. The probabilistic models are useful for applications involving uncertainty, such as those used in planning and control systems.
Statistical approach: uses rule discovery and is based on data relationships. Learning algorithm can automatically select useful data relationship paths and attributes. These paths and attributes are then used to construct rules for discovering meaningful information. This approach is used to generalize patterns in the data and to construct rules from the noted patterns. An example of the statistical approach is OLAP.
Classification approach: groups data according to similarities. One example is a pattern discovery and data-cleaning model that reduces a large database to only a few specific records. By eliminating redundant and non-important data, the discovery of patterns in the data is simplified.
Deviation and trend analysis: uses filtering techniques to detect patterns. An example is an intrusion detection system that filters a large volume of data so that only the pertinent data is analyzed.
Neural networks: methods used to develop classification, regression, association, and segmentation models. A neural net method organizes data into nodes that are arranged in layers, and links between the nodes have specific weighting classifications. The neural net is helpful in detecting the associations among the input patterns or relationships. It is also considered a learning system because new information is utomatically incorporated into the system. However, the value and relevance of the decisions made by the neural network are only as good as the experience it is given. The greater the experience, the better the decision. Note that neural nets have a specific problem in terms of an individual's ability to substantiate processing in that they are subject to superstitious knowledge, which is a tendency to identify relations when no relations
actually exist. More sophisticated neural nets are less subject to this problem.
Expert system approach: uses a knowledge base (a collection of all the data, or knowledge, on a particular matter) and a set of algorithms and/or rules that infer new facts from knowledge and incoming data. The knowledge base could be the human experience that is available in an organization. Because the system reacts to a set of rules, if the rules are faulty, the response will also be faulty. Also, because human decision is removed from the point of action, if an error were to occur, the reaction time from a human would be longer.
Hybrid approach: a combination of more than one approach that provides a more powerful and useful system.
The following answers are incorrect:
The other options describes some of the KDD possible approaches but were not the right choice.
The following reference(s) were/was used to create this question:
OFFICIAL (ISC)2@ GUIDE TO THE CISSP@ EXAM - First Edition, page 309.
and
https://en.wikipedia.org/wiki/Data_mining

NEW QUESTION: 3
A banking business running background storage system requirements are as follows:
(1)Business Impact. The business impact generated by the operating system is about 100KB.
(2) The service operation system is the whole GE network. The server and operating system are GE network.
Follow-up to consider the business needs to upgrade to 10GE.
(3) Only requires 72TB of total space, the latter expansion priority to expand the disk (4) Only 20U of rack space is reserved for the current storage devices.
The configuration of three nodes and switches is prioritized to meet the requirements of the machine room.
Cabinet planning based on the above requirements.
What are the more appropriate networking solutions?
A. Program One:1 * OceanStor 9000 C Node36 * 2TB SATA configuration2 * Front-end GE + 2 * Rear-end 10GE
B. Scenario 2: 3 * Oceanstor 9000 C Node36 * 2TB SATA hard drive;2 * Front-end GE + back-end 2 *
10GE
C. program three:3 * OceanStor 9000 P Node36 * 2TB SAS configuration2 * Front-end GE + 2 * Rear-end
10GE
D. Program Four:3 * OceanStor 9000 M Node36 * 2TB SAS configuration2 * Front-end GE + 2 *Rear-end
10GE
Answer: C