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NEW QUESTION: 1
Examine this output captured on an NFS server:
# mount | grep export
/dev/sdc1 on /export type ext3 (rw)
/dev/sdc2 on /export/share2 type ext3 (rw)
# cat /etc/exports
/export (*ro)
You mounted the /export filesystem on an NFS client using the command:
# mount NFS_SERVER:/export/mnt
What is the result of listing the files in /mnt/share2 on the NFS client?
A. It lists any files stored in the share2 directory in the /dev/sdc1 partition of the NFS server.
B. It lists any files stored in the root directory in the /dev/sdc2 partition of the NFS server.
C. It results in a stale NFS handle error.
D. It results in a permission denied error.
E. It produces no output.
Answer: B
Explanation:
Explanation/Reference:
Explanation:
NEW QUESTION: 2
솔루션 아키텍트가 다중 서브넷 VPC 아키텍처를 개발 중입니다. 이 솔루션은 2 개의 가용 영역에 있는 6 개의 서브넷으로 구성됩니다. 서브넷은 퍼블릭, 프라이빗 및 데이터베이스 전용으로 정의됩니다. 프라이빗 서브넷에서 실행되는 Amazon EC2 인스턴스 만 데이터베이스에 액세스 할 수 있어야 합니다.
이러한 요구 사항을 충족하는 솔루션은 무엇입니까?
A. 퍼블릭 서브넷과 프라이빗 서브넷 사이에 새로운 피어링 연결을 생성합니다. 프라이빗 서브넷과 데이터베이스 서브넷간에 다른 피어링 연결을 만듭니다.
B. 퍼블릭 서브넷의 인스턴스에서 사용하는 보안 그룹의 수신을 거부하는 보안 그룹 생성 Amazon RDS DB 인스턴스에 보안 그룹 연결
C. 프라이빗 서브넷의 인스턴스에서 사용하는 보안 그룹에서 수신을 허용하는 보안 그룹을 생성합니다. 보안 그룹을 Amazon RDS DB 인스턴스에 연결합니다.
D. 퍼블릭 서브넷의 CIDR 블록에 대한 경로를 제외하는 지금 라우팅 테이블을 생성합니다. 라우팅 테이블을 데이터베이스 서브넷에 연결합니다.
Answer: C
NEW QUESTION: 3
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. Classification
C. Deviation
D. Oriented
Answer: D
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: 4
Which Cisco IOS VPN technology leverages IPsec, mgre , dynamic routing protocol, NHRP and Cisco Express Forwarding?
A. Cisco Easy VPN
B. FlexVPN
C. DMVPN
D. GETVPN
Answer: A
