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NEW QUESTION: 1
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. Deviation
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

NEW QUESTION: 2
仮想マシンのAzureサービスレベルアグリーメント（SLA）で何が保証されますか？
A. 機能の可用性
B. 帯域幅
C. 稼働時間
D. パフォーマンス
Answer: C
Explanation:
The SLA for virtual machines guarantees 'uptime'. The amount of uptime guaranteed depends on factors such as whether the VMs are in an availability set or availability zone if there is more than one VM, the distribution of the VMs if there is more than one or the disk type if it is a single VM.
The SLA for Virtual Machines states:
For all Virtual Machines that have two or more instances deployed across two or more Availability Zones in the same Azure region, we guarantee you will have Virtual Machine Connectivity to at least one instance at least 99.99% of the time.
For all Virtual Machines that have two or more instances deployed in the same Availability Set or in the same Dedicated Host Group, we guarantee you will have Virtual Machine Connectivity to at least one instance at least 99.95% of the time.
For any Single Instance Virtual Machine using Premium SSD or Ultra Disk for all Operating System Disks and Data Disks, we guarantee you will have Virtual Machine Connectivity of at least 99.9%.
References:
https://azure.microsoft.com/en-us/support/legal/sla/summary/
https://azure.microsoft.com/en-us/support/legal/sla/virtual-machines/v1_9/

NEW QUESTION: 3
A database is running In ARCHIVELOG mode. It has two online redo log groups and each group has one member.
A LGWR Input/output (I/O) fells due to permanent media failure that has resulted In the loss of redo log file and the LWGR terminates causing the instance to crash. The steps to recover from the loss of a current redo log group member in the random order are as follow.
1) Restore the corrupted redo log group.
2) Restore from a whole database backup.
3) Perform incomplete recovery.
4) Relocate by renaming the member of the damaged online redo log group to a new location.
5) Open the database with the RESETLOGS option.
6) Restart the database instance.
7) Issue a checkpoint and clear the log.
Identify the option with the correct sequential steps to accomplish the task efficiently.
A. 2, 3, 4, and 5
B. 7, 4, 3. and 5
C. 1, 3, 4, and 5
D. Only 6 is required
E. 7, 3, 4. and 5
Answer: A
Explanation:
Recovering After Losing All Members of an Online Redo Log Group If a media failure damages all members of an online redo log group, then different scenarios can occur depending on the type of online redo log group affected by the failure and the archiving
mode of the database.
If the damaged online redo log group is current and active, then it is needed for crash recovery;
otherwise, it is not. Table 30-4 outlines the various recovery scenarios.

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