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DP-100 Designing and Implementing a Data Science Solution on Azure is now Stable and With Pass Result | Test Your Knowledge for Free

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DP-100 Practice Questions

Designing and Implementing a Data Science Solution on Azure

Last Update 2 days ago
Total Questions : 525

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Question # 41

You need to implement a scaling strategy for the local penalty detection data.

Which normalization type should you use?

Options:

A.  

Streaming

B.  

Weight

C.  

Batch

D.  

Cosine

Discussion 0
Question # 42

You need to modify the inputs for the global penalty event model to address the bias and variance issue.

Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Question # 42

Options:

Discussion 0
Question # 43

You need to define an evaluation strategy for the crowd sentiment models.

Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Question # 43

Options:

Discussion 0
Question # 44

You need to select an environment that will meet the business and data requirements.

Which environment should you use?

Options:

A.  

Azure HDInsight with Spark MLlib

B.  

Azure Cognitive Services

C.  

Azure Machine Learning Studio

D.  

Microsoft Machine Learning Server

Discussion 0
Question # 45

You need to use the Python language to build a sampling strategy for the global penalty detection models.

How should you complete the code segment? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

Question # 45

Options:

Discussion 0
Question # 46

You need to define a process for penalty event detection.

Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Question # 46

Options:

Discussion 0
Question # 47

You need to implement a model development strategy to determine a user’s tendency to respond to an ad.

Which technique should you use?

Options:

A.  

Use a Relative Expression Split module to partition the data based on centroid distance.

B.  

Use a Relative Expression Split module to partition the data based on distance travelled to the event.

C.  

Use a Split Rows module to partition the data based on distance travelled to the event.

D.  

Use a Split Rows module to partition the data based on centroid distance.

Discussion 0
Question # 48

You need to define a process for penalty event detection.

Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Question # 48

Options:

Discussion 0
Question # 49

You manage an Azure Machine Learning workspace. You have a folder that contains a CSV file. The folder is registered as a folder data asset You plan to use the folder data asset for data wrangling dunng interactive development. You need to access and load the folder data asset into a Pandas data frame. Which method should you use to achieve this goal?

Options:

A.  

mltable.from_delimited_files()

B.  

mltable.froB_parquet_files()

C.  

mltable.load()

D.  

mltable.froB delta lake()

Discussion 0
Question # 50

You ate reviewing model benchmarks in Azure Al Foundry.

You must use a large language model based on the proficiency of the model to generate the most linguistically correct text. You need to select the model benchmark. Which benchmark metric should you focus on?

Options:

A.  

fluency

B.  

coherence

C.  

precision

D.  

accuracy

Discussion 0
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