Available Number of Questions: Maximum of
506 Questions
Exam Name: Designing and Implementing a Data Science Solution on Azure
Exam Duration: Minutes
Related Certification(s):
Microsoft Azure Data Scientist Associate Certification
Microsoft DP-100 Exam Topics - You’ll Be Tested in Actual Exam
When you prepare for DP 100, think of the workflow as a disciplined loop that starts with exploring data and running experiments, then moves into designing and preparing a machine learning solution, and ends with training and deploying models plus optimizing language models for real AI tasks. In the exploration phase, you should be comfortable profiling datasets, spotting missing values and outliers, choosing meaningful features, and setting up repeatable experiments with clear metrics so results are comparable across runs. Next, designing the solution means selecting an approach that fits the business goal and data shape, deciding how you will split data, prevent leakage, and define evaluation criteria, while also planning compute needs and how you will track code, inputs, and outputs for reproducibility. Training focuses on selecting algorithms, tuning hyperparameters, handling imbalance, and using proper validation so the model generalizes rather than memorizes. Deployment then requires packaging the model, choosing an endpoint style, validating performance after release, and monitoring drift so you know when retraining is needed. For language model optimization, focus on adapting models to tasks by prompt design, data preparation for fine tuning when appropriate, and evaluating quality, safety, and latency, so the final system is accurate, stable, and practical to operate.
Microsoft DP-100 Exam Short Quiz
Attempt this Microsoft DP-100 exam quiz to self-assess your preparation for the actual Microsoft Designing and Implementing a Data Science Solution on Azure exam. CertBoosters also provides premium Microsoft DP-100 exam questions to pass the Microsoft Designing and Implementing a Data Science Solution on Azure exam in the shortest possible time. Be sure to try our free practice exam software for the Microsoft DP-100 exam.
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Microsoft DP-100 Exam Quiz
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MicrosoftDP-100
Q1:
You have an Azure Machine Learning workspace named Workspace 1 Workspace! has a registered Mlflow model named model 1 with PyFunc flavor
You plan to deploy model1 to an online endpoint named endpoint1 without egress connectivity by using Azure Machine learning Python SDK vl
You have the following code:
You need to add a parameter to the ManagedOnllneDeployment object to ensure the model deploys successfully
Solution: Add the scoring_script parameter.
Does the solution meet the goal?
○
AYes
○
BNo
MicrosoftDP-100
Q2:
You have an Azure Machine Learning workspace named Workspace 1 Workspace! has a registered Mlflow model named model 1 with PyFunc flavor
You plan to deploy model1 to an online endpoint named endpointl without egress connectivity by using Azure Machine learning Python SDK vl
You have the following code:
You need to add a parameter to the ManagedOnllneDeployment object to ensure the model deploys successfully
Solution: Add the with_package parameter.
Does the solution meet the goal?
○
AYes
○
BNo
MicrosoftDP-100
Q3:
You have an Azure Machine Learning workspace named Workspace 1 Workspace! has a registered Mlflow model named model 1 with PyFunc flavor
You plan to deploy model1 to an online endpoint named endpoint1 without egress connectivity by using Azure Machine learning Python SDK vl
You have the following code:
You need to add a parameter to the ManagedOnlineDeployment object to ensure the model deploys successfully
Solution: Add the environment parameter.
Does the solution meet the goal?
○
AYes
○
BNo
MicrosoftDP-100
Q4:
You manage an Azure Machine Learning workspace. The development environment tor 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 10 use a user-assigned identity.
Solution: Configure the IdentityConfiguration class with the appropriate identity type. Does the solution meet the goal?
○
AYes
○
BNo
MicrosoftDP-100
Q5:
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: Create an instance of the MICIient class.
