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NEW QUESTION: 1
생체 인식 시스템을 사용하는 식별 프로세스가 제시된 템플리트와 저장된 템플리트간에 100 % 일치를 발견하면이 결과의 해석은 무엇입니까?
A. 사용자 오류
B. 실패한 신분증
C. 정확한 식별
D. 변조가 의심되는 경우
Answer: D

NEW QUESTION: 2
Where are all agents used in the Avaya Aura Contact Center POM integration administered?
A. Avaya IQ
B. Avaya Proactive Outreach Manager
C. Contact Center Manager Administration
D. Avaya Aura Experience Portal
Answer: B

NEW QUESTION: 3
You need to produce a visualization for the diagnostic test evaluation according to the data visualization requirements.
Which three modules should you recommend be used in sequence? To answer, move the appropriate modules from the list of modules to the answer area and arrange them in the correct order.

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