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070-774 PDF DEMO:

QUESTION NO: 1
Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in this series.
A travel agency named Margie's Travel sells airline tickets to customers in the United States.
Margie's Travel wants you to provide insights and predictions on flight delays. The agency is considering implementing a system that will communicate to its customers as the flight departure nears about possible delays due to weather conditions. The flight data contains the following attributes:
The weather data contains the following attributes: AirportID, ReadingDate (YYYY/MM/DD HH),
SkyConditionVisibility, WeatherType, WindSpeed, StationPressure, PressureChange, and
HourlyPrecip.
You have an untrained Azure Machine Learning model that you plan to train to predict flight delays.
You need to assess the variability of the dataset and the reliability of the predictions from the model.
Which module should you use?
A. Score Model
B. Train Model
C. Tune Model Hyperparameters
D. Evaluate Model
E. Cross-Validate Model
Answer: E
Explanation:
References:
https://msdn.microsoft.com/en-us/library/azure/dn905852.aspx

QUESTION NO: 2
DRAG DROP
You have an Execute R Script module that has one input from either a Partition and Sample module or a Web service input module.
You need to preprocess tweets by using R.
The solution must meet the following requirements:
How should you complete the R code? To answer, drag the appropriate values to the correct targets.
Each value may be used once, more than once, or not at all. You may need to drag the split bar panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:

QUESTION NO: 3
You have an Azure Machine Learning experiment.
You discover that a model causes many errors in a production dataset. The model causes only few errors in the training data.
What is the cause of the errors?
A. a simple predictor
B. underfitting
C. generalization
D. overfitting
Answer: D

QUESTION NO: 4
You need to integrate code and formatted text into an Azure Machine Learning experiment that enables interactive execution.
What should you use?
A. an Execute R Script module
B. an Execute Python Script module
C. Azure Stream Analytics
D. a Jupyter notebook
Answer: D

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PDF Questions & Answers

Exam Code: 070-774
Exam Name: Perform Cloud Data Science with Azure Machine Learning
Updated: January 22, 2018
Total Q&As:37
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Exam Code: 070-774
Exam Name: Perform Cloud Data Science with Azure Machine Learning
Updated: January 22, 2018
Total Q&As:37
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Exam Code: 070-774
Exam Name: Perform Cloud Data Science with Azure Machine Learning
Updated: January 22, 2018
Total Q&As:37
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