70-774 Questions And Answers

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Exam Name: Perform Cloud Data Science with Azure Machine Learning

Updated: 2019-03-23

Q & A: 65

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Question No : 1

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 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: B

Question No : 2

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 result of a Python script run in a Machine Learning environment to a local file
D. visualizing univariate and multivariate summaries by using Python code
Answer: C

Question No : 3

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:
* Remove digit
* Remove punctuation
* Convert to lowercase
How should you complete the R code? To answer drag the appropriate value to correct Target.



Answer:


Question No : 4

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 endpoint to the computer Vision APL
Does this meet the goal?
A. YES
B. NO
Answer: B

Question No : 5

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

Question No : 6

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:


Question No : 7

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 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 connect the Score Model modules from each trained model as inputs for the Evaluate Model module, and then use the Execute R Script Module.
Does this meet the goal?
A. YES
B. NO
Answer: A

Question No : 8

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 a Machine Learning Experiment that implements the Multiclass Neural Network Module.
Does this meet the goal?
A. YES
B. NO
Answer: A

Question No : 9

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
Answer: A

Question No : 10

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

Question No : 11

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 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 modules should you use?
A. Cross-validate Model.
B. Evaluate Model.
C. Tune Model Hyperparameters
D. Train Model
E. Score Model
Answer: D

Question No : 12

You have a non-tabular file that is saved in Azure Blob Storage.You need to download the file locally, access the data in the file, and then format the data as a dataset.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
Answer: E

Question No : 13

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

Question No : 14

You are analyzing taxi trips in New York City. You leverage the Azure Data Factory to create data pipelines and to orchestrate data movement.
You plan to develop a predictive model for 170 million rows (37 GB) of raw data in Apache Hive by using Microsoft R Serve to identify which factors contributes to the passenger tipping behavior.
All of the platforms that are used for the analysis are the same. Each worker node has eight processor cores and 28 GB Of memory.
Which type of Azure HDInsight cluster should you use to produce results as quickly as possible?
A. Hadoop
B. HBase
C. Interactive Hive
D. Spark
Answer: A

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. XgBoost
B. Rattle
C. Vowpal Wabbit
D. R Tools for Visual studio
Answer: D
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14 Jan, 2019

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21 Dec, 2018

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20 Dec, 2018

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Claudio Omli

08 Dec, 2018

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