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NEW QUESTION: 1
What kind of analysis must the BA do to determine if one of the systems is better suited to be modified and upgraded?
A. Decision Analysis
B. Risk Analysis
C. Stakeholder Analysis
D. Process Analysis
Answer: A
NEW QUESTION: 2
You are using a decision tree algorithm. You have trained a model that generalizes well at a tree depth equal to
10.
You need to select the bias and variance properties of the model with varying tree depth values.
Which properties should you select for each tree depth? To answer, select the appropriate options in the answer area.
Answer:
Explanation:
Explanation
In decision trees, the depth of the tree determines the variance. A complicated decision tree (e.g. deep) has low bias and high variance.
Note: In statistics and machine learning, the bias-variance tradeoff is the property of a set of predictive models whereby models with a lower bias in parameter estimation have a higher variance of the parameter estimates across samples, and vice versa. Increasing the bias will decrease the variance. Increasing the variance will decrease the bias.
References:
https://machinelearningmastery.com/gentle-introduction-to-the-bias-variance-trade-off-in-machine-learning/
NEW QUESTION: 3
A customer with IBM Spectrum Virtualize running on old SVC nodes wants to upgrade performance and add data reduction capability to grow its effective capacity and make its existing storage more efficient.
What is the minimum the customer needs to purchase, in addition to the new SVC nodes, to minimize TCO?
A. IBM Spectrum Control
B. Compression licenses for the entire storage capacity
C. Compression licenses for the usable capacity being compressed
D. IBM Spectrum Virtualize and compression licenses for the existing capacity
Answer: D
NEW QUESTION: 4
Which type of IPS can identify worms that are propagating in a network?
A. Signature-based IPS
B. Reputation-based IPS
C. Anomaly-based IPS
D. Policy-based IPS
Answer: C
Explanation:
An example of anomaly-based IPS/IDS is creating a baseline of how many TCP sender requests are generated on average each minute that do not get a response. This is an example of a half-opened session. If a system creates a baseline of this (and for this discussion, let's pretend the baseline is an average of 30 half- opened sessions per minute), and then notices the half-opened sessions have increased to more than 100 per minute, and then acts based on that and generates an alert or begins to deny packets, this is an example of anomaly-based IPS/IDS. The Cisco IPS/IDS appliances have this ability (called anomaly detection), and it is used to identify worms that may be propagating through the network.
Source:
Cisco Official Certification Guide, Anomaly-Based IPS/IDS, p.464