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NEW QUESTION: 1
The security administrator is receiving numerous alerts from the internal IDS of a possible Conficker infection spreading through the network via the Windows file sharing services. Given the size of the company which deploys over 20,000 workstations and 1,000 servers, the security engineer believes that the best course of action is to block the file sharing service across the organization by placing ACLs on the internal routers.
Which of the following should the security administrator do before applying the ACL?
A. Consult with the rest of the security team and get approval on the solution by all the team members and the team manager.
B. Quickly research best practices with respect to stopping Conficker infections and implement the solution.
C. Apply the ACL immediately since this is an emergency that could lead to a widespread data compromise.
D. Call an emergency change management meeting to ensure the ACL will not impact core business functions.
Answer: D
NEW QUESTION: 2
Exhibit:
You are authenticating user devices connected to your ex Series switch. You have 802.1X and MAC RADIUS configured for all ports A user is complaining about the time it takes to connect their non-802.1X device on ge-0/0/15 using MAC RADIUS authentication Referring to the exhibit, what should be done to accelerate the authentication process?
A. Change the supplicant mode to multiple on ge-0/0/15
B. Change the 802.1X retry attempts value to 5 on ge-0/0/15
C. Configure the no-reauthentication feature for 802.1X on ge-0/0/15
D. Configure the restrict feature for MAC RADIUS on ge-0/0/15.
Answer: A
NEW QUESTION: 3
You need to correct the model fit issue.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation
Step 1: Augment the data
Scenario: Columns in each dataset contain missing and null values. The datasets also contain many outliers.
Step 2: Add the Bayesian Linear Regression module.
Scenario: You produce a regression model to predict property prices by using the Linear Regression and Bayesian Linear Regression modules.
Step 3: Configure the regularization weight.
Regularization typically is used to avoid overfitting. For example, in L2 regularization weight, type the value to use as the weight for L2 regularization. We recommend that you use a non-zero value to avoid overfitting.
Scenario:
Model fit: The model shows signs of overfitting. You need to produce a more refined regression model that reduces the overfitting.