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NEW QUESTION: 1
Which of the following type of IDS has self-learning functionality and over a period of time will learned what is the expected behavior of a system?
A. Signature Based IDS
B. Neural Network based IDS
C. Host Based IDS
D. Statistical based IDS
Answer: B
Explanation:
Explanation/Reference:
Neural Network based IDS monitors the general patterns of activity and traffic on the network, and create a database of normal activities within the system. This is similar to statistical model but with added self- learning functionality.
Also, you should know below categories and types of IDS for CISA exam:
An IDS works in conjunction with routers and firewall by monitoring network usage anomalies.
Broad category of IDS includes:
Network based IDS
Host based IDS
Network Based IDS
They identify attack within the monitored network and issue a warning to the operator.
If a network based IDS is placed between the Internet and the firewall, it will detect all the attack attempts whether or not they enter the firewall Host Based IDS
They are configured for a specific environment and will monitor various internal resources of the operating system to warn of a possible attack.
They can detect the modification of executable programs, detect the detection of files and issue a warning when an attempt is made to use a privilege account.
Types of IDS includes
Signature Based IDS - These IDS system protect against detected intrusion patterns. The intrusive pattern they can identify are stored in the form of signature.
Statistical Based IDS - These system need a comprehensive definition of the known and expected behavior of system Neural Network - An IDS with this feature monitors the general patterns of activity and traffic on the network, and create a database. This is similar to statistical model but with added self-learning functionality The following were incorrect answers:
The other types of IDS mentioned in the options do not monitor general patterns of activities and contains self-learning functionalities.
The following reference(s) were/was used to create this question:
CISA review manual 2014 Page number 346 and 347
NEW QUESTION: 2
You are using C-Support Vector classification to do a multi-class classification with an unbalanced training dataset. The C-Support Vector classification using Python code shown below:
You need to evaluate the C-Support Vector classification code.
Which evaluation statement should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Box 1: Automatically adjust weights inversely proportional to class frequencies in the input data The "balanced" mode uses the values of y to automatically adjust weights inversely proportional to class frequencies in the input data as n_samples / (n_classes * np.bincount(y)).
Box 2: Penalty parameter
Parameter: C : float, optional (default=1.0)
Penalty parameter C of the error term.
References:
https://scikit-learn.org/stable/modules/generated/sklearn.svm.SVC.html
NEW QUESTION: 3
Select two true statements about the Portfolio Analysis tab in Primavera P6 EPPM.
A. Conducts a side-by-side comparison of an unlimited number of portfolios
B. Conducts a side by-side comparison of one project displayed in different views
C. Conducts a side by-side comparison of the same portfolio displayed in different views
D. Conducts a side-by-side comparison of two projects
E. Conducts a side-by-side comparison of two portfolios
Answer: C,E
Explanation:
Explanation/Reference:
Note: Creating Projects on the Portfolio Analysis Page
Generally, you create projects while working on the EPS page in the Projects section of the application.
However, it is also possible to create what-if projects while analyzing portfolios. During the process of
evaluating a portfolio, you will often want to capture a new project idea. To create a project on the portfolio
analysis page:
1) Click Portfolios.
2) On the Portfolios navigation bar, click Portfolio Analysis.
3) On the Portfolio Analysis page:
a. Make sure you are working with the primary portfolio (at top or left) and not the comparison set for the
next steps.
b. In the Scenario list, select a scenario for your analysis.
c. In the View list, select a portfolio view scorecard.
d. In the scorecard, select a row where you want to add a new project.
e. Click Add Project.
4) For the first project you create, if defaults are not already set, the Add Project dialog box appears:
a. Select a default Parent EPS element.
b. Select a default Responsible Manager.
c. Click Select.
5) On the Portfolio Analysis page, click Save. Tip You can change the what-if project's Project Status field
value on the General detail window of the EPS page. For example, you may later want to change a project
from What If to Planned status. Note 2: A portfolio is a collection of projects. Group projects into portfolios
so you can easily view data from more than one project at a time.
Reference; P6 EPPM User's Guide, Creating Projects on the Portfolio Analysis
NEW QUESTION: 4
A. AccountingToken
B. ApplIdentityData
C. ApplOriginData
D. UserIdentifier
Answer: A