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DP-100 Exam Dumps - Microsoft Azure Questions and Answers

Question # 4

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?

Options:

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.

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Question # 5

You manage an Azure Al Foundry project.

You plan 10 build a RAG solution. The solution must include two models:

• One for text output, named Model1. This model must resemble human language and read naturally.

• One for creating embeddings, named Model2. This model must maximize the retrieval of relevant results (high recall)

You need to compare different models by using benchmarking metrics to select the appropriate models for Model1 and Model?

Options:

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Question # 6

You are developing a deep learning model by using TensorFlow. You plan to run the model training workload on an Azure Machine Learning Compute Instance.

You must use CUDA-based model training.

You need to provision the Compute Instance.

Which two virtual machines sizes can you use? To answer, select the appropriate virtual machine sizes in the answer area.

NOTE: Each correct selection is worth one point.

Options:

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Question # 7

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.

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Question # 8

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.

Options:

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Question # 9

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.

Options:

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Question # 10

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

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Question # 11

You need to implement a feature engineering strategy for the crowd sentiment local models.

What should you do?

Options:

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.

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Question # 12

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.

Options:

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Question # 13

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.

Options:

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Exam Code: DP-100
Exam Name: Designing and Implementing a Data Science Solution on Azure
Last Update: Jun 15, 2025
Questions: 476
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