Microsoft DP-100 Exam Dumps PDF | Microsoft Azure Exam Study Material
                     Microsoft
DP-100 Exam
Designing  and  Implementing  a  
Data  Science  Solution  on  Azure
DP-100  dumps
Designing  and  Implementing  a  Data  Science  Solution  on  Azure
Skills measured
Define and prepare the development environment (15-20%)
Select development environment
assess the deployment environment constraints
analyze and recommend tools that meet system requirements
select the development environment
Set up development environment
create an Azure data science environment
configure data science work environments
Quantify the business problem
define technical success metrics
quantify risks
DP-100  dumps  
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Questiion  no  1
You need to resolve the local machine learning pipeline performance issue. 
What should you do?
A. Increase Graphic Processing Units (GPUs).
B. Increase the learning rate.
C. Increase the training iterations,
D. Increase Central Processing Units (CPUs).
Answer: A 
DP-100  dumps
Questiion  no  2
You need to select an environment that will meet the business and data 
requirements.Which environment should you use?
A. Azure HDInsight with Spark Mllib
B. Azure Cognitive Services
C. Azure Machine Learning Studio
D. Microsoft Machine Learning Server
Answer: D 
DP-100  dumps  
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Questiion  no  3
You need to implement a scaling strategy for the local penalty detection data.Which 
normalization type should you use?
A. Streaming
B. Weight
C. Batch
D. Cosine
Answer: C
DP-100  dumps
Questiion  no  4
You need to implement a feature engineering strategy for the crowd 
sentiment local models.What should you do?
A. Apply an analysis of variance (ANOVA).
B. Apply a Pearson correlation coefficient.
C. Apply a Spearman correlation coefficient.
D. Apply a linear discriminant analysis.
Answer: D
Explanation:
The linear discriminate analysis method works only on continuous variables, not 
categorical or ordinal variables. Linear discriminates analysis is similar to analysis of 
variance (ANOVA) in that it works by comparing the means of the variables. Scenario: 
Data scientists must build notebooks in a local environment using automatic feature 
engineering and model building in machine learning pipelines. Experiments for local 
crowd sentiment models must combine local penalty detection data. All shared 
features for local models are continuous variables.
DP-100  dumps  
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Questiion  no  5
You need to implement a new cost factor scenario for the ad response models as 
illustrated in the performance curve exhibit.Which technique should you use?
A. Set the threshold to 0.5 and retrain if weighted Kappa deviates +/- 5% from 
0.45.
B. Set the threshold to 0.05 and retrain if weighted Kappa deviates +/- 5% from 
0.5.
C. Set the threshold to 0.2 and retrain if weighted Kappa deviates +/- 5% from 
0.6.
D. Set the threshold to 0.75 and retrain if weighted Kappa deviates +/- 5% from 
0.15.
Answer: A 
DP-100  dumps
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DP-100  dumps  
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