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NEW QUESTION: 1
What is the default port number for the Dell EMC NetWorker server to authenticate the NMC server host?
A. 0
B. 1
C. 2
D. 3
Answer: A
Explanation:
References:

NEW QUESTION: 2



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

NEW QUESTION: 3
The Chief Technology Officer (CTO) wants to improve security surrounding storage of customer passwords.
The company currently stores passwords as SHA hashes. Which of the following can the CTO implement requiring the LEAST change to existing systems?
A. Asymmetric keys
B. Key stretching
C. TOTP
D. Smart cards
Answer: D
Explanation:
Explanation/Reference:
Explanation:
Smart cards usually come in two forms. The most common takes the form of a rectangular piece of plastic with an embedded microchip. The second is as a USB token. It contains a built in processor and has the ability to securely store and process information. A "contact" smart card communicates with a PC using a smart card reader whereas a "contactless" card sends encrypted information via radio waves to the PC.
Typical scenarios in which smart cards are used, include interactive logon, e-mail signing, e-mail decryption and remote access authentication. However, smart cards are programmable and can contain programs and data for many different applications. For example, smart cards may be used to store medical histories for use in emergencies, to make electronic cash payments or to verify the identity of a customer to an e-retailer.
Microsoft provides two device independent APIs to insulate application developers from differences between current and future implementations: CryptoAPI and Microsoft Win32® SCard APIs.
The Cryptography API contains functions that allow applications to encrypt or digitally sign data in a flexible manner, while providing protection for the user's sensitive private key data. All cryptographic operations are performed by independent modules known as cryptographic service providers (CSPs).
There are many different cryptographic algorithms and even when implementing the same algorithm there are many choices to make about key sizes and padding for example. For this reason, CSPs are grouped into types, in which each supported CryptoAPI function, by default, performs in a way particular to that type. For example, CSPs in the PROV_DSS provider type support DSS Signatures and MD5 and SHA hashing.

NEW QUESTION: 4
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. Deviation
B. Oriented
C. Probabilistic
D. Classification
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