NEW QUESTION 1
You have the following three training datasets for a restaurant:
You must recommend restaurant to a particular user based only on the users features. You need to use a Matchbox Recommender to make recommendations.
How many input parameters should you specify?

• A. 1
• B. 2
• C. 3
• D. 4

Answer: B

Explanation: References:
https://msdn.microsoft.com/en-us/library/azure/dn905987.aspx

NEW QUESTION 2
Note: This question is part of a series of questions that present the same scenario. Each question in 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 a correct solution.
After you answer a question in this sections, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You are working on an Azure Machine Learning experiment. You have the dataset configured as shown in the following table.

You need to ensure that you can compare the performance of the models and add annotations to the results. Solution: You consolidate the output of the Score Model modules by using the Add Rows module, and then
use the Execute R Script module.
Does this meet the goal?

• A. Yes
• B. No

Answer: A

Explanation: References:
https://msdn.microsoft.com/en-us/library/azure/dn905915.aspx

NEW QUESTION 3
You need to create a training set for use with a linear regression model, and then to test the training set.
How should you create the training set? To answer, drag the appropriate modules to the correct locations. Each module 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:

Explanation: C:UserswkDesktopmudassarUntitled.jpg

NEW QUESTION 4
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 for 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.
The users will use different data sources that follow a standard format. The users will receive results in a standard format by using the fraud prediction web service. The results will be saved to a location specified by the users.
You need to provide the users with the ability to get results for different risk tolerances without affecting the calculation of the model. Which three modules should be configured to use the Web Service Parameters? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

• A. Evaluate Model
• B. Import Data
• C. Select Columns in Dataset
• D. Export Data
• E. Time Series Anomaly Detection

Answer: ABD

NEW QUESTION 5
You have an Azure Machine Learning environment. You are evaluating whether to use R code or Python.
Which three actions can you perform by using both R code and Python in the Machine Learning environment? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

• A. Preprocess, cleanse, and group data.
• B. Score a training model.
• C. Create visualizations.
• D. Create an untrained model that can be used with the Train Model module.
• E. Implement feature ranking.

Answer: ABC

NEW QUESTION 6
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 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. Each module 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:

Explanation: References:
https://gallery.cortanaintelligence.com/Experiment/Binary-Classification-Flight-delay-prediction-3 https://msdn.microsoft.com/library/azure/038d91b6-c2f2-42a1-9215-1f2c20ed1b40

NEW QUESTION 7
You are building an Azure Machine Learning experiment.
You are preparing the output of a Boosted Decision Tree Regression module. You add a Normalize Data module to the experiment.
You need to ensure that the range of the transformation method produces an output on a scale of -1 to 1. Which transformation method should you use?

• A. MinMax
• B. TanH
• C. Logistic
• D. Zscore
• E. LogNormal

Answer: D

NEW QUESTION 8
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:

Explanation:

NEW QUESTION 9
You need to identify which columns are more predictive by using a statistical method. Which module should you use?

• A. Filter Based Feature Selection
• B. Principal Component Analysis
• C. Group Data into Bins
• D. Tune Model Hyperparameters

Answer: B

NEW QUESTION 10
You plan to use the Import Data module to import data from a web URL by using HTTP. Which file format can you use as the source of the import operation?

• A. Optimized Row Columnar (ORQ
• B. Extensible Markup Language (XML)
• C. comma-separated value (CSV)
• D. JavaScript Object Notation (JSON)

Answer: D

NEW QUESTION 11
Note: This question is part of a series of questions that use the same or similar answer choices. An answer choice may be correct for more than one question in the series. Each question is independent of the other questions in this series. Information and details provided in a question apply only to that question.
You process some data by using Azure Machine Learning Studio. You have an intermediate dataset. The dataset has a column that contains date values stored in a format of MM/DD/YYYY.
ft You need to split the column into three separate columns by year, month, and day.
Which module should you use?

• A. Edit Metadata
• B. Normalize Data
• C. Clean Missing Data
• D. Import Data
• E. Execute Python Script
• F. Clip Values
• G. Clip Values
• H. Execute Python Script

Answer: A

NEW QUESTION 12
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. scikit-learn
• C. SparkR
• D. Mahout

Answer: C

NEW QUESTION 13
You need to use R code in a Transact-SQL statement to merge the repeating values 1 through 6 with Col1 in a table.
Which statement should you use? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

Answer:

Explanation: References:
https://docs.microsoft.com/en-us/sql/advanced-analytics/tutorials/rtsql-r-and-sql-data-types-and-data-objects

NEW QUESTION 14
Note: This question is part of a series of questions that present the same scenario. Each question in 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 a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have an Azure ML experiment that contains an intermediate dataset. You need to explore data from the intermediate dataset by using Jupyter.
Solution: You add a Convert to ARFF module, and then add the Execute R Script module. Does this meet the goal?

• A. Yes
• B. No

Answer: B

NEW QUESTION 15
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. Rating Prediction
• B. Related Users
• C. Item Recommendation
• D. Related Items

Answer: A

NEW QUESTION 16
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. XgBoost
• B. Rattle
• C. Vowpal Wabbit
• D. R Tools for Visual Studio

Answer: C

Explanation: References:
https://docs.microsoft.com/en-us/azure/machine-learning/data-science-virtual-machine/provision-vm

NEW QUESTION 17
You have the following HiveQL query in an Import Data module.

Which type of operation is being performed?

• A. sampling a bucketized table
• B. random sampling by groups
• C. uniform random sampling
• D. stratified sampling

Answer: D