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The work time may account for the most proportion of the daytime.
NEW QUESTION: 1
BFD static route topology is shown in Figure A.
On the firewall, administrator needs to do the following configuration:
[USG9000_A] bfd
[USG9000_A-bfd] quit
[USG9000_A] bfd aa bind peer-ip 1.1.1.2
[USG9000_A-bfd-session-aa] discriminator local 10
[USG9000_A-bfd-session-aa] discriminator remote 20
Which of the following commands should be added to the firewall configuration to achieve BFD for static route? (Choose two answers)
A. [USG9000_A] ip route-static 0.0.0.0 0 1.1.1.2 bind bfd-session aa
B. [USG9000_A] ip route-static 0.0.0.0 0 1.1.1.2 track bfd-session aa
C. [USG9000_A] bfd aa bind local-ip 1.1.1.1
D. [USG9000_A-bfd-session-aa] commit
Answer: B,D
NEW QUESTION: 2
Given:
Which loop incurs a compile time error?
A. the loop starting line 7
B. the loop starting line 14
C. the loop starting line 11
D. the loop starting line 3
Answer: B
NEW QUESTION: 3
Loans on policies are valuable to the policyholders, and insurers encourage them to protect this feature by saving it for emergency use. There are two basic types of loans. In case of conventional premium loans:
A. The insured makes a request for a loan. Since an emergency may very well have triggered this request, most companies will accept any form of notice such as a telephone call
B. The maximum loan amount is frequently limited to the cash value of the policy plus the value of paid-up additions
C. Loan can be created to pay policy loan interest if the policyholder-borrower does not pay it in cash
D. an insured has indicated in the insurance application that the policy is not to lapse for nonpayment of premiums so long as there is loan value adequate to cover unpaid premiums
Answer: A,B
NEW QUESTION: 4
You train and register a model in your Azure Machine Learning workspace.
You must publish a pipeline that enables client applications to use the model for batch inferencing. You must use a pipeline with a single ParallelRunStep step that runs a Python inferencing script to get predictions from the input data.
You need to create the inferencing script for the ParallelRunStep pipeline step.
Which two functions should you include? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A. score(mini_batch)
B. run(mini_batch)
D
C. main()
D. init()
E. batch()
Answer: B,D
Explanation:
Reference:
https://github.com/Azure/MachineLearningNotebooks/tree/master/how-to-use-azureml/machine-learningpipelines/parallel-run