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NEW QUESTION: 1
Through which three states does a BGP routing process pass when it establishes a peering session with a neighbor? (Choose three.)
A. Connected
B. Idle
C. Open receive
D. Inactive
E. Open sent
F. Active
Answer: B,E,F
Explanation:
BGP states are as follows:
1. IDLE - Router is searching routing table to see whether a route exists to reach the neighbor.
2. CONNECT - Router found a route to the neighbor and has completed the three-way TCP handshake.
3. OPEN SENT - Open message sent, with parameters for the BGP session.
4. OPEN CONFIRM - Router received agreement on the parameters for establishing session.
5. ACTIVE - Router didn't receive agreement on parameters of establishment.
6. ESTABLISHED - Peering is established; routing begins.
NEW QUESTION: 2
A client needs to configure Accounts payment vendor methods of payment to meet the following business requirements:
* Configure the electronic method of payment to create one electronic payment for all of the invoices due.
* Configure the system to ensure that all payments made with an electronic method of payment also forces the user to select which payment has been used.
You display the Methods of payment setup screen.
Use the drop-down menus to select the answer choice that answers each question based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
NEW QUESTION: 3
A Machine Learning team uses Amazon SageMaker to train an Apache MXNet handwritten digit classifier model using a research dataset. The team wants to receive a notification when the model is overfitting.
Auditors want to view the Amazon SageMaker log activity report to ensure there are no unauthorized API calls.
What should the Machine Learning team do to address the requirements with the least amount of code and fewest steps?
A. Use AWS CloudTrail to log Amazon SageMaker API calls to Amazon S3. Set up Amazon SNS to receive a notification when the model is overfitting.
B. Implement an AWS Lambda function to long Amazon SageMaker API calls to Amazon S3. Add code to push a custom metric to Amazon CloudWatch. Create an alarm in CloudWatch with Amazon SNS to receive a notification when the model is overfitting.
C. Use AWS CloudTrail to log Amazon SageMaker API calls to Amazon S3. Add code to push a custom metric to Amazon CloudWatch. Create an alarm in CloudWatch with Amazon SNS to receive a notification when the model is overfitting.
D. Implement an AWS Lambda function to log Amazon SageMaker API calls to AWS CloudTrail. Add code to push a custom metric to Amazon CloudWatch. Create an alarm in CloudWatch with Amazon SNS to receive a notification when the model is overfitting.
Answer: A