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NEW QUESTION: 1
Which command can you enter on an interface so that the interface will notify the sender of a
packet that the path is sub-optimal?
A. Ipnhrp shortcut
B. Ipnhrp record
C. Ipnhrp redirect
D. Ipnhrp cost 65535
E. Ipnhrp set-unique-bit
Answer: C
NEW QUESTION: 2
You need to return multiple result sets using SQL Script. What do you use?
Please choose the correct answer.
Response:
A. Scripted calculation view
B. Procedure
C. Scalar function
D. Table function
Answer: B
NEW QUESTION: 3
What do you do to prepare the database migration option of a Software Update Manager procedure?
There are 3 correct answers to this question
Response:
A. Move the R3trans update archive into the download folder.
B. Extract the SAP HANA database installation archive.
C. Move the stack.xml update file into the download folder.
D. Move the SPAM update archive into the download folder.
E. Extract the SAP HANA client installation archive.
Answer: C,D,E
NEW QUESTION: 4
データの視覚化要件に従って、診断テストの評価用に視覚化を作成する必要があります。
どの3つのモジュールを順番に使用することをお勧めしますか?回答するには、適切なモジュールをモジュールのリストから回答エリアに移動し、正しい順序で並べます。
Answer:
Explanation:
Explanation:
Step 1: Sweep Clustering
Start by using the "Tune Model Hyperparameters" module to select the best sets of parameters for each of the models we're considering.
One of the interesting things about the "Tune Model Hyperparameters" module is that it not only outputs the results from the Tuning, it also outputs the Trained Model.
Step 2: Train Model
Step 3: Evaluate Model
Scenario: You need to provide the test results to the Fabrikam Residences team. You create data visualizations to aid in presenting the results.
You must produce a Receiver Operating Characteristic (ROC) curve to conduct a diagnostic test evaluation of the model. You need to select appropriate methods for producing the ROC curve in Azure Machine Learning Studio to compare the Two-Class Decision Forest and the Two-Class Decision Jungle modules with one another.
References:
http://breaking-bi.blogspot.com/2017/01/azure-machine-learning-model-evaluation.html