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Microsoft Updated DP-100 Exam Questions and Answers by greyson

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Microsoft DP-100 Exam Overview :

Exam Name: Designing and Implementing a Data Science Solution on Azure
Exam Code: DP-100 Dumps
Vendor: Microsoft Certification: Microsoft Azure
Questions: 460 Q&A's Shared By: greyson
Question 32

You are developing a machine learning solution by using the Azure Machine Learning designer.

You need to create a web service that applications can use to submit data feature values and retrieve a predicted label.

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.

Questions 32

Options:

Discussion
Question 33

You train and register a machine learning model. You create a batch inference pipeline that uses the model to generate predictions from multiple data files.

You must publish the batch inference pipeline as a service that can be scheduled to run every night.

You need to select an appropriate compute target for the inference service.

Which compute target should you use?

Options:

A.

Azure Machine Learning compute instance

B.

Azure Machine Learning compute cluster

C.

Azure Kubernetes Service (AKS)-based inference cluster

D.

Azure Container Instance (ACI) compute target

Discussion
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Question 34

You plan to build a team data science environment. Data for training models in machine learning pipelines will

be over 20 GB in size.

You have the following requirements:

Models must be built using Caffe2 or Chainer frameworks.

Data scientists must be able to use a data science environment to build the machine learning pipelines and train models on their personal devices in both connected and disconnected network environments.

Personal devices must support updating machine learning pipelines when connected to a network.

You need to select a data science environment.

Which environment should you use?

Options:

A.

Azure Machine Learning Service

B.

Azure Machine Learning Studio

C.

Azure Databricks

D.

Azure Kubernetes Service (AKS)

Discussion
Question 35

You manage an Azure Machine Learning workspace.

You must provide explanations for the behavior of the models with feature importance measures.

You need to configure a Responsible Al dashboard in Azure Machine Learning.

Which dashboard component should you configure?

Options:

A.

Fairness assessment

B.

Counterfactual what-if

C.

Interpretability

D.

Casual inference

Discussion
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