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NEW QUESTION NO: 7
You are performing exploratory analysis of files that are encoded in a complex proprietary format. The format requires disk intensive access to several dependent files in HDFS.
You need to build an Azure Machine Learning model by using a canopy clustering algorithm. You must ensure that changes to proprietary file formats can be maintained by using the least amount of effort.
Which Machine Learning library should you use?
A. MicrosoftML
B. Mahout
C. SparkR
D. scikit-learn
Answer: C

NEW QUESTION NO: 8
You are building an Azure Machine Learning Experiment.
You need to transform a string column that has 47 distinct values into a binary indicator column. The solution must use the One-vs-All Multiclass model.
Which module should you use?
A. Group Categorical Values
B. Select Columns Transform
C. Edit Metadata
D. Convert to Indicator Values
Answer: A

NEW QUESTION NO: 9
DRAG DROP
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.
Start of repeated scenario
You plan to create a predictive analytics solution for credit risk assessment and fraud prediction in Azure Machine Learning. The Machine Learning workspace for the solution will be shared with other users in your organization. You will add assets to projects and conduct experiments in the workspace.
The experiments will be used for training models that will be published to provide scoring from web services.
The experiment tor fraud prediction will use Machine Learning modules and APIs to train the models and will predict probabilities in an Apache Hadoop ecosystem.
End of repeated scenario.
You finish training the model and are ready to publish a predictive web service that will provide the users with the ability to specify the data source and the save location of the results. The model includes a Split Data module.
Which two actions should you perform to convert the Machine Learning experiment to a predictive web service? To answer, drag the appropriate actions to the correct targets.
Each action may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Answer: 


NEW QUESTION NO: 10
DRAG DROP
Note: This question is part of a series of questions that present the same Scenario.
Each question I the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution while others might not have correct solution.
Start of repeated Scenario:
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 near about possible delays due to weather conditions.
The flight data contains the following attributes:
* DepartureDate: The departure date aggregated at a per hour granularity.
* Carrier: The code assigned by the IATA and commonly used to identify a carrier.
* OriginAirportID: An identification number assigned by the USDOT to identify a unique airport (the flight's Origin)
* DestAirportID: The departure delay in minutes.
*DepDet30: A Boolean value indicating whether the departure was delayed by 30 minutes or more ( a value of 1 indicates that the departure was delayed by 30 minutes or more)
The weather data contains the following Attributes: AirportID, ReadingDate (YYYY/MM/DD
HH), SKYConditionVisibility, WeatherType, Windspeed, StationPressure, PressureChange and HourlyPrecip.
End of repeated Scenario:
You need to remove the bias and to identify the columns in the input dataset that have the greatest predictive power.
Which module should you use for each requirement? To answer drag the appropriate modules to the correct requirements.

Answer: 


NEW QUESTION NO: 11
You plan to use Azure Machine Learning to develop a predictive model. You plan to include an Execute Python Script module.
What capability does the module provide?
A. outputting a file to a network location
B. visualizing univariate and multivariate summaries by using Python code
C. saving the result of a Python script run in a Machine Learning environment to a local file
D. performing interactive debugging of a Python script
Answer: C

NEW QUESTION NO: 12
From the Cortana intelligence Gallery, you deploy a solution.
You need to modify the solution.
What should you use?
A. Azure Stream Analytics
B. Microsoft Power BI Desktop
C. Azure Machine Learning Studio
D. R Tools for Visual Studio
Answer: C
https://docs.microsoft.com/en-us/azure/machine-learning/machine-learning- gallery-experiments

NEW QUESTION NO: 13
You need to integrate code and formatted text into an Azure Machine Learning experiment that enables interactive execution.
What should you use?
A. Azure Stream Analytics
B. an Execute Python Script module
C. a Jupyter notebook
D. an Execute R Script module
Answer: C

NEW QUESTION NO: 14
Note: This question is part of a series of questions that present the same Scenario.
Each question I the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution while others might not have correct solution.
You are designing an Azure Machine Learning workflow.
You have a dataset that contains two million large digital photographs.
You plan to detect the presence of trees in the photographs.
You need to ensure that your model supports the following:
* Hidden Layers that support a directed graph structure.
* User-defined core components on the GPU
Solution: You create an Azure notebook that supports the Microsoft Cognitive Toolkit.
Does this meet the goal?
A. YES
B. NO
Answer: B

NEW QUESTION NO: 15
You plan to use the Data Science Virtual Machine for development, but you are unfamiliar with R scripts.
You need to generate R code for an experiment.
Which IDE should you use?
A. Rattle
B. R Tools for Visual studio
C. XgBoost
D. Vowpal Wabbit
Answer: B

NEW QUESTION NO: 16
Note: This question is part of a series of questions that present the same Scenario.
Each question I the series contains a unique solution that might meet the stated goals.
Some question sets might have more than one correct solution while others might not have correct solution.
Start of repeated Scenario:
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 near about possible delays due to weather conditions.
The flight data contains the following attributes:
* DepartureDate: The departure date aggregated at a per hour granularity.
* Carrier: The code assigned by the IATA and commonly used to identify a carrier.
* OriginAirportID: An identification number assigned by the USDOT to identify a unique airport (the flight's Origin)
* DestAirportID: The departure delay in minutes.
*DepDet30: A Boolean value indicating whether the departure was delayed by 30 minutes or more ( a value of 1 indicates that the departure was delayed by 30 minutes or more)
The weather data contains the following Attributes: AirportID, ReadingDate (YYYY/MM/DD HH), SKYConditionVisibility, WeatherType, Windspeed, StationPressure, PressureChange and HourlyPrecip.
End of repeated Scenario:
You plan to predict flight delays that are 30 minutes or more.
You need to build a training model that accurately fits the data. The solution must minimize over fitting and minimize data leakage. Which attribute should you remove?
A. DepDel
B. DestAirportID
C. OriginAirportID
D. DepDel30
E. Carrier
Answer: A

NEW QUESTION NO: 17
You have data about the following:
* Users
* Movies
* User ratings of the movies
You need to predict whether a user will like a particular movie.
Which Matchbox recommender should you use?
A. Item Recommendation
B. Related items
C. Related Users.
D. Rating Prediction
Answer: B