Free Preparation Discussions
MENU
Microsoft DP-100 Exam Questions
- Topic 1: Design and prepare a machine learning solution: This section of the exam covers designing a machine learning solution, managing the Azure machine learning workspace, and managing data in the Azure machine learning environment.
- Topic 2: Explore data and train models: This section of the exam covers exploring data by utilizing data assets and establishing models by utilizing Azure's machine learning designer. It also covers using automated machine learning to explore optimal frameworks.
- Topic 3: Prepare a model for deployment: This section also covers running model training scripts, implementing training pipelines, and overseeing frameworks in Azure Machine Learning.
- Topic 4: Deploy and retrain a model: This section covers implementing a model and deploying machine learning operations and practices.
Free Microsoft DP-100 Exam Actual Questions
Note: Premium Questions for DP-100 were last updated On Oct. 11, 2024 (see below)
You manage an Azure Machine Learning workspace. You plan to import data from Azure Data Lake Storage Gen2. You need to build a URI that represents the storage location. Which protocol should you use?
You manage an Azure Machine Learning workspace.
An MLflow model is already registered. You plan to customize how the deployment does inference. You need to deploy the MLflow model to a batch endpoint for batch inferencing. What should you create first?
You create an Azure Machine Learning workspace named woricspace1. The workspace contains a Python SDK v2 notebook that uses MLflow to collect model training metrics and artifacts from your local computer.
You must reuse the notebook to run on Azure Machine Learning compute instance in workspace1.
You need to continue to log metrics and artifacts from your data science code.
What should you do?
You manage an Azure Machine Learning workspace named projl
You plan to use assets defined in projl to create a pipeline in the Machine Learning studio designer
You need to set the Registry name filter to display only the list of assets defined in projl.
What should you set the Registry name filter to?
You manage an Azure Machine Learning workspace. The development environment for managing the workspace is configured to use Python SDK v2 in Azure Machine Learning Notebooks.
A Synapse Spark Compute is currently attached and uses system-assigned identity.
You need to use Python code to update the Synapse Spark Compute to use a user-assigned identity.
Solution: Pass the UserAssignedldentity class object to the SynapseSparkCompute class.
Does the solution meet the goat?
- Select Question Types you want
- Set your Desired Pass Percentage
- Allocate Time (Hours : Minutes)
- Create Multiple Practice tests with Limited Questions
- Customer Support
Alonzo
6 days agoViva
9 days agoStefan
13 days agoViva
26 days agoCordelia
1 months agoCatherin
1 months agoSilva
2 months agoJacquline
3 months agoLorenza
3 months agoMargo
3 months agoJeanice
3 months agoMarlon
4 months agoKati
4 months agoGarii
5 months agotokyo
5 months agoMark james
5 months agoAlizabith
6 months ago