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NEW QUESTION: 1
Which of the following online auditing techniques is most effective for the early detection of errors or irregularities?
A. Snapshots
B. Embedded audit module
C. Audit hooks
D. Integrated test facility
Answer: C
Explanation:
Explanation/Reference:
Explanation:
The audit hook technique involves embedding code in application systems for the examination of selected transactions. This helps an IS auditor to act before an error or an irregularity gets out of hand. An embedded audit module involves embedding specially-written software in the organization's host application system so that application systems are monitored on a selective basis. An integrated test facility is used when it is not practical to use test data, and snapshots are used when an audit trail is required.

NEW QUESTION: 2

A. HTTP
B. MSCP
C. SQL *Net
D. HTTPS
Answer: C

NEW QUESTION: 3



SNMP users have a specified username, a group to which the user belongs, authentication password, encryption password, and authentication and encryption algorithms to use. The authentication algorithm options are MD5 and SHA. The encryption algorithm options are DES, 3DES, andAES (which is available in 128,192, and 256 versions). When you create a user, with which option must you associate it?
A. an SNMP group
B. the SNMP inspection in the global_policy
C. at least two interfaces
D. at least one interface
Answer: A
Explanation:
Explanation/Reference:
This can be verified via the ASDM screen shot shown here:


NEW QUESTION: 4
A Machine Learning Specialist built an image classification deep learning model. However the Specialist ran into an overfitting problem in which the training and testing accuracies were 99% and 75%r respectively.
How should the Specialist address this issue and what is the reason behind it?
A. The dimensionality of dense layer next to the flatten layer should be increased because the model is not complex enough.
B. The learning rate should be increased because the optimization process was trapped at a local minimum.
C. The epoch number should be increased because the optimization process was terminated before it reached the global minimum.
D. The dropout rate at the flatten layer should be increased because the model is not generalized enough.
Answer: C