Microsoft 70-774 - Perform Cloud Data Science with Azure Machine Learning Exam
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Total 37 questions
Question #6 (Topic: )
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 need to alter the list of columns that will be used for predicting fraud for an input web
service endpoint. The columns from the original data source must be retained while running
the Machine Learning experiment.
Which module should you add after the web service input module and before the prediction
module?
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 need to alter the list of columns that will be used for predicting fraud for an input web
service endpoint. The columns from the original data source must be retained while running
the Machine Learning experiment.
Which module should you add after the web service input module and before the prediction
module?
A. Edit Metadata
B. Import Data
C. SMOTE
D. Select Columns in Dataset
Answer: A
Question #7 (Topic: )
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?
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
Question #8 (Topic: )
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?
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. Select Columns Transform
B. Convert to Indicator Values
C. Group Categorical Values
D. Edit Metadata
Answer: C
Question #9 (Topic: )
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?
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
Question #10 (Topic: )
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?
errors in a production dataset. The model causes only few errors in the Training data.
What is the cause of the errors?
A. overfitting
B. generalization
C. underfitting
D. a simple predictor
Answer: A
