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NEW QUESTION: 1
What is the port type of all ports in a Fibre Channel Arbitrated loop?
A. F port
B. NL port
C. FL port
D. N port
Answer: B
NEW QUESTION: 2
Which two pieces of information are collected from the IPv4 protocol header? (Choose two.)
A. source IP address of the packet
B. UDP port to which the traffic is destined
C. destination IP address of the packet
D. TCP port from which the traffic was sourced
E. UDP port from which the traffic is sourced
Answer: A,C
NEW QUESTION: 3
When using Web Services 1.0, consider the following sequence of a client system calling CPQ Cloud WebServices.
1. Call Security Login WebServices with User ID and Password.
2. Create a Commerce update Transaction WebServices call by using an existing transaction ID.
3. Make the following updates in the web service XML:
Set Session ID.
Set "_shipTo_first_name" to "myName"
4. Submit the WebService call.
5. Call Security Logout WebServices with the Session ID to close the session.
Based on the given sequence, which two statements are true? (Choose two.)
A. Step 5 is unnecessary. Session ID is not needed to log out.
B. Step 3 does not specify an action to execute; therefore, nothing is updated in the transaction.
C. The session will still be open.
D. The Commerce transaction should be updated with the new Ship To name.
E. The call in step 4 will throw an error.
Answer: A,C
NEW QUESTION: 4
Azure Machine Learning Studioで線形回帰モデルを開発しています。さまざまなアルゴリズムを比較する実験を実行します。
次の画像は、結果データセットの出力を示しています。
ドロップダウンメニューを使用して、画像に表示される情報に基づいて各質問に回答する回答の選択肢を選択します。
注：それぞれの正しい選択には1ポイントの価値があります。
Answer:
Explanation:
Explanation
Box 1: Boosted Decision Tree Regression
Mean absolute error (MAE) measures how close the predictions are to the actual outcomes; thus, a lower score is better.
Box 2:
Online Gradient Descent: If you want the algorithm to find the best parameters for you, set Create trainer mode option to Parameter Range. You can then specify multiple values for the algorithm to try.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/evaluate-model
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/linear-regression