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NEW QUESTION: 1
You are troubleshooting throughput problems for a WLAN cell. The cell is provisioned with an 802.11ac dual-band AP. Users connected with both 5 GHz and 2.4 GHz connections are reporting performance problems. The AP settings are properly optimized. No interface issues have been detected (either co-channel interference or non-Wi-Fi interference) and the number of associated users is low.
What should you analyze to resolve the issue?
A. The antennas used on the client devices
B. The 5 GHz radio configuration
C. The 2.4 GHz radio configuration
D. the Ethernet uplink and the network infrastructure
Answer: D
NEW QUESTION: 2
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this sections, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a server named Server1 that has Microsoft SQL Server installed.
Server1 has SQL Server Audit configured to send audit even records to a file.
You need to ensure that a database user named User1 can review the audit data.
Solution: You grant the VIEW SERVER STATE permission to User1.
Does this meet the goal?
A. Yes
B. No
Answer: A
Explanation:
Explanation
Each feature and command for SQL Server Audit has individual permission requirements.
Unless otherwise specified, viewing catalog views requires a principal to have one of the following:
* The VIEW SERVER STATE permission.
* The VIEW AUDIT STATE permission (gives only the principal access to the sys.server_audits catalog view).
* Membership in the sysadmin fixed server role.
* The CONTROL SERVER permission.
* The ALTER ANY AUDIT permission.
A principal must have the VIEW SERVER STATE or ALTER ANY AUDIT permission to use the Dynamic Management Views.
References: https://technet.microsoft.com/en-us/library/cc280665(v=sql.105).aspx
NEW QUESTION: 3
The validation types that are used when planning the validation strategy are shown as follows.
Match the validation typos with their functionality.
*1 None a) Identify the source table and the column for value's.
*2 Independent b) Specify the format validation required.
*3 Dependent c) Identify the list of acceptable values.
*4 Table d) Identify the default value for each subgroup of values.
A. 1-b, 2-c, 3-d, 4-a
B. 1-d, 2-c,3-b,4-a
C. 1-c, 2-d, 3-a, 4-b
D. 1-b, 2-d, 3-c, 4-a
Answer: A
Explanation:
* None (1-B):not validated at all You use a None type value set when you want to allow users to enter any value so long as that value meets the value set formatting rules. That is, the value must not exceed the maximum length you define for your value set, and it must meet any format requirements for that value set. *Independent (2-C) :An Independent value set provides a predefined list of values for a segment.
These values can have an associated description. Dependent(3-D):A dependent value set is similar to an independent value set, except that the available values in the list and the meaning of a given value depend on which independent value was selected in a prior segment of the flexfield structure. You can think of a dependent value set as a collection of little value sets, with one little set for each independent value in the corresponding independent value set. You must define your independent value set before you define the dependent value set that depends on it.
Table(4-A): A table-validated value set provides a predefined list of values like an independent set, but its values are stored in an application table. You define which table you want to use, along with a WHERE cause to limit the values you want to use for your set. Typically, you use a table-validated set when you have a table whose values are already maintained in an application table (for example, a table of vendor names maintained by a Define Vendors form). Table validation also provides some advanced features such as allowing a segment to depend upon multiple prior segments in the same structure.
Reference: Choosing a Validation Type for Your Value Set
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. Probabilistic
B. Deviation
C. Oriented
D. Classification
Answer: C
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
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