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NEW QUESTION: 1
展示を参照してください。
ネットワークアーキテクトが静的NATを部分的に構成しています。構成を完了するためにどのコマンドを要求する必要がありますか？
A. R1（config）#interface GigabitEthernet0 / 0 R1（config）#ip nat inside
R1（config）#interface GigabitEthernet0 / 1 R1（config）#ip nat outside
B. R1（config）#interface GigabitEthernet0 / 0 R1（config）#ip nat outside
R1（config）#interface GigabitEthernet0 / 1 R1（config）#ip nat inside
C. R1（config）#interface GigabitEthernet0 / 0 R1（config）#ip pat inside
R1（config）#interface GigabitEthernet0 / 1 R1（config）#ip pat outside
D. R1（config）#interface GigabitEthernet0 / 0 R1（config）#ip pat outside
R1（config）#interface GigabitEthernet0 / 1 R1（config）#ip pat inside
Answer: B
NEW QUESTION: 2
You have a multi-class image classification deep learning model that uses a set of labeled photographs. You create the following code to select hyperparameter values when training the model.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Box 1: Yes
Hyperparameters are adjustable parameters you choose to train a model that govern the training process itself.
Azure Machine Learning allows you to automate hyperparameter exploration in an efficient manner, saving you significant time and resources. You specify the range of hyperparameter values and a maximum number of training runs. The system then automatically launches multiple simultaneous runs with different parameter configurations and finds the configuration that results in the best performance, measured by the metric you choose. Poorly performing training runs are automatically early terminated, reducing wastage of compute resources. These resources are instead used to explore other hyperparameter configurations.
Box 2: Yes
uniform(low, high) - Returns a value uniformly distributed between low and high Box 3: No Bayesian sampling does not currently support any early termination policy.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-tune-hyperparameters
NEW QUESTION: 3
According to Cisco, which four improvements are the main benefits of the PPDIOO lifecycle approach to network design? (Choose four.)
A. Lower total cost of network ownership
B. Improved business agility
C. Faster ROI
D. Faster access to applications and services
E. Increased network availability
F. Better implementation team engagement
Answer: A,B,D,E
Explanation:
Explanation/Reference:
Explanation:
The PPDIOO life cycle provides four main benefits:
+ It improves business agility by establishing business requirements and technology strategies. + It increases network availability by producing a sound network design and validating the network operation.
+ It speeds access to applications and services by improving availability, reliability, security, scalability, and performance.
+ It lowers the total cost of ownership by validating technology requirements and planning for infrastructure changes and resource requirements.
(Reference: Cisco CCDA Official Exam Certification Guide, 3rd Edition) described in the link below.
Link:http://www.ciscopress.com/articles/article.asp?p=1608131&seqNum=3