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Exam 70-774: Perform Cloud Data Science with Azure Machine Learning:
https://www.microsoft.com/en-us/learning/exam-70-774.aspx

Pass4itsure offers the latest Microsoft Certification 70-774 practice test free of charge (15Q&As)

QUESTION 1
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. Performing interactive debugging of a Python script.
C. Saving the results of a Python script run in a Machine Learning environment to a local file.
D. Visualizing univariate and multivariate summaries by using Python code.
Correct Answer: D

QUESTION 2
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. Cross-Validate Model
B. Evaluate Model
C. Tune Model Hyperparameters
D. Train Model
E. Score Model
Correct Answer: A

QUESTION 3
You have data about the following:
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. Rating Prediction
D. Related Users
Correct Answer: C

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.
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 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. OriginAirportID
B. DepDel
C. DepDel30
D. Carrier
E. DestAirportID
Correct Answer: C

QUESTION 5
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
pass4itsure 70-774 question
You need to ensure that you can compare the performance of the models and add annotations to the results.
Solution: You connect the Score Model modules from each trained model as inputs for the Evaluate Model module, and use the Execute R Script module.
Doe
s this meet the goal?
A. Yes
B. No
Correct Answer: B

QUESTION 6
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 have a dataset that contains a column named Column1. Column1 is empty.
You need to omit Column1 from the dataset. The solution must use a native module.
Which module should you use?
A. Execute Python Script
B. Tune Model Hyperparameters
C. Normalize Data
D. Select Columns in Dataset
E. Import Data
F. Edit Metadata
G. Clip Values
H. Clean Missing Data
Correct Answer: D

QUESTION 7
You are building an Azure Machine Learning workflow by using Azure Machine Learning Studio.
You create an Azure notebook that supports the Microsoft Cognitive Toolkit.
You need to ensure that the stochastic gradient descent (SGD) configuration maximizes the samples per second and supports parallel modeling that is managed by a parameter server.Which SGD algorithm should you use?
A. DataParallelASGD
B. DataParallelSGD
C. ModelAveragingSGD
D. BlockMomentumSGD
Correct Answer: B

QUESTION 8
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.
Correct Answer: ABC

QUESTION 9
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 need to remove rows that have an empty value in a specific column. The solution must use a native module.
Which module should you use?
A. Execute Python Script
B. Tune Model Hyperparameters
C. Normalize Data
D. Select Columns in Dataset
E. Import Data
F. Edit Metadata
G. Clip Values
H. Clean Missing Data
Correct Answer: H

QUESTION 10
You are building an Azure Machine Learning experiment.
You need to transform 47 numeric columns into a set of 10 linearly uncorrelated features.
Which module should you add to the experiment?
A. Principal Component Analysis
B. K-Means Clustering
C. Normalize Data
D. Group Data into Bins
Correct Answer: A

QUESTION 11
You have a dataset that is missing values in a column named Column3. Column3 is correlated to two columns named Column4 and Column5. You need to improve the accuracy of the dataset, while minimizing data loss.
What should you do?
A. Replace the missing values in Column3 by using probabilistic Principal Component Analysis (PCA).
B. Remove all of the rows that have the missing values in Column4 and Column5.
C. Replace the missing values in Column3 with a mean value.
D. Remove the rows that have the missing values in Column3.
Correct Answer: A

QUESTION 12
HOTSPOT
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.
pass4itsure 70-774 question
pass4itsure 70-774 question

QUESTION 13
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.
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.
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.
pass4itsure 70-774 question

 

QUESTION 14
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.
pass4itsure 70-774 question
pass4itsure 70-774 question

QUESTION 15
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.
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
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