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The Designing and Implementing a Data Science Solution on Azure (DP-100)

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DP-100 Exam Dumps
  • Exam Code: DP-100
  • Vendor: Microsoft
  • Certifications: Microsoft Azure
  • Exam Name: Designing and Implementing a Data Science Solution on Azure
  • Updated: May 8, 2026 Free Updates: 90 days Total Questions: 516 Try Free Demo

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Coverage of Official Microsoft DP-100 Exam Domains

Our curriculum is meticulously mapped to the Microsoft official blueprint.

Design and Prepare a Machine Learning Solution (25%)

Master the creation and management of Azure Machine Learning workspaces. Focus on configuring compute targets, managing datastores, and setting up registries to share assets across workspaces.

Explore Data and Run Experiments (25%)

Deep dive into Automated Machine Learning (AutoML) for tabular, vision, and NLP tasks. Master experiment tracking using MLflow and professional hyperparameter tuning (sampling methods, early termination policies, and primary metric selection).

Train and Deploy Models (30%)

The core lifecycle domain. Master running model training scripts as jobs, creating custom components for Azure ML Pipelines, and deploying models to Managed Online Endpoints or Batch Endpoints for real-time and scheduled scoring.

Optimize Language Models for AI Applications (30%)

The newest and most critical domain for 2026. Focus on selecting models from the Azure AI Foundry catalog, implementing Retrieval Augmented Generation (RAG), and optimizing performance through Prompt Flow and model fine-tuning.

Microsoft DP-100 Exam Domains Q&A

Certified instructors verify every question for 100% accuracy, providing detailed, step-by-step explanations for each.

Question 1 Microsoft DP-100
QUESTION DESCRIPTION:

You need to select a feature extraction method.

Which method should you use?

  • A.

    Spearman correlation

  • B.

    Mutual information

  • C.

    Mann-Whitney test

  • D.

    Pearson’s correlation

Correct Answer & Rationale:

Answer: A

Explanation:

Spearman ' s rank correlation coefficient assesses how well the relationship between two variables can be described using a monotonic function.

Note: Both Spearman ' s and Kendall ' s can be formulated as special cases of a more general correlation coefficient, and they are both appropriate in this scenario.

Scenario: The MedianValue and AvgRoomsInHouse columns both hold data in numeric format. You need to select a feature selection algorithm to analyze the relationship between the two columns in more detail.

[References:, https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/feature-selection-modules, , , , , , ]

Question 2 Microsoft DP-100
QUESTION DESCRIPTION:

You need to select a feature extraction method.

Which method should you use?

  • A.

    Mutual information

  • B.

    Mood’s median test

  • C.

    Kendall correlation

  • D.

    Permutation Feature Importance

Correct Answer & Rationale:

Answer: C

Explanation:

In statistics, the Kendall rank correlation coefficient, commonly referred to as Kendall ' s tau coefficient (after the Greek letter τ), is a statistic used to measure the ordinal association between two measured quantities.

It is a supported method of the Azure Machine Learning Feature selection.

Scenario: When you train a Linear Regression module using a property dataset that shows data for property prices for a large city, you need to determine the best features to use in a model. You can choose standard metrics provided to measure performance before and after the feature importance process completes. You must ensure that the distribution of the features across multiple training models is consistent.

[References:, https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/feature-selection-modules, , , , , ]

Question 3 Microsoft DP-100
QUESTION DESCRIPTION:

: 212

You register a model that you plan to use in a batch inference pipeline.

The batch inference pipeline must use a ParallelRunStep step to process files in a file dataset. The script has the ParallelRunStep step runs must process six input files each time the inferencing function is called.

You need to configure the pipeline.

Which configuration setting should you specify in the ParallelRunConfig object for the PrallelRunStep step?

  • A.

    process_count_per_node= " 6 "

  • B.

    node_count= " 6 "

  • C.

    mini_batch_size= " 6 "

  • D.

    error_threshold= " 6 "

Correct Answer & Rationale:

Answer: B

Explanation:

node_count is the number of nodes in the compute target used for running the ParallelRunStep.

[Reference:, https://docs.microsoft.com/en-us/python/api/azureml-contrib-pipeline-steps/azureml.contrib.pipeline.steps.parallelrunconfig?view=azure-ml-py, , , , , , , ]

Question 4 Microsoft DP-100
QUESTION DESCRIPTION:

You train and register a model in your Azure Machine Learning workspace.

You must publish a pipeline that enables client applications to use the model for batch inferencing. You must use a pipeline with a single ParallelRunStep step that runs a Python inferencing script to get predictions from the input data.

You need to create the inferencing script for the ParallelRunStep pipeline step.

Which two functions should you include? Each correct answer presents part of the solution.

NOTE: Each correct selection is worth one point.

  • A.

    run(mini_batch)D

  • B.

    main()

  • C.

    batch()

  • D.

    init()

  • E.

    score(mini_batch)

Correct Answer & Rationale:

Answer: A, D

Explanation:

[Reference:, https://github.com/Azure/MachineLearningNotebooks/tree/master/how-to-use-azureml/machine-learningpipelines/parallel-run, , , , , ]

Question 5 Microsoft DP-100
QUESTION DESCRIPTION:

You are building a machine learning model for translating English language textual content into French

language textual content.

You need to build and train the machine learning model to learn the sequence of the textual content.

Which type of neural network should you use?

  • A.

    Multilayer Perceptions (MLPs)

  • B.

    Convolutional Neural Networks (CNNs)

  • C.

    Recurrent Neural Networks (RNNs)

  • D.

    Generative Adversarial Networks (GANs)

Correct Answer & Rationale:

Answer: C

Explanation:

To translate a corpus of English text to French, we need to build a recurrent neural network (RNN).

Note: RNNs are designed to take sequences of text as inputs or return sequences of text as outputs, or both.

They’re called recurrent because the network’s hidden layers have a loop in which the output and cell state from each time step become inputs at the next time step. This recurrence serves as a form of memory. It allows contextual information to flow through the network so that relevant outputs from previous time steps can be applied to network operations at the current time step.

[References:, https://towardsdatascience.com/language-translation-with-rnns-d84d43b40571, , , , , ]

Question 6 Microsoft DP-100
QUESTION DESCRIPTION:

You create a binary classification model. The model is registered in an Azure Machine Learning workspace. You use the Azure Machine Learning Fairness SDK to assess the model fairness.

You develop a training script for the model on a local machine.

You need to load the model fairness metrics into Azure Machine Learning studio.

What should you do?

  • A.

    Implement the download_dashboard_by_upload_id function

  • B.

    Implement the creace_group_metric_sec function

  • C.

    Implement the upload_dashboard_dictionary function

  • D.

    Upload the training script

Correct Answer & Rationale:

Answer: C

Explanation:

import azureml.contrib.fairness package to perform the upload:

from azureml.contrib.fairness import upload_dashboard_dictionary, download_dashboard_by_upload_id

[Reference:, https://docs.microsoft.com/en-us/azure/machine-learning/how-to-machine-learning-fairness-aml, , , , , ]

Question 7 Microsoft DP-100
QUESTION DESCRIPTION:

You use the following code to run a script as an experiment in Azure Machine Learning:

DP-100 Q7

You must identify the output files that are generated by the experiment run.

You need to add code to retrieve the output file names.

Which code segment should you add to the script?

  • A.

    files = run.get_properties()

  • B.

    files= run.get_file_names()

  • C.

    files = run.get_details_with_logs()

  • D.

    files = run.get_metrics()

  • E.

    files = run.get_details()

Correct Answer & Rationale:

Answer: B

Explanation:

You can list all of the files that are associated with this run record by called run.get_file_names()

[Reference:, https://docs.microsoft.com/en-us/azure/machine-learning/how-to-track-experiments, , , , , , ]

Question 8 Microsoft DP-100
QUESTION DESCRIPTION:

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.

After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.

You train and register a machine learning model.

You plan to deploy the model as a real-time web service. Applications must use key-based authentication to use the model.

You need to deploy the web service.

Solution:

Create an AksWebservice instance.

Set the value of the auth_enabled property to False.

Set the value of the token_auth_enabled property to True.

Deploy the model to the service.

Does the solution meet the goal?

  • A.

    Yes

  • B.

    No

Correct Answer & Rationale:

Answer: B

Explanation:

Instead use only auth_enabled = TRUE

Note: Key-based authentication.

Web services deployed on AKS have key-based auth enabled by default. ACI-deployed services have key-based auth disabled by default, but you can enable it by setting auth_enabled = TRUE when creating the ACI web service. The following is an example of creating an ACI deployment configuration with key-based auth enabled.

deployment_config < - aci_webservice_deployment_config(cpu_cores = 1,

memory_gb = 1,

auth_enabled = TRUE)

[Reference:, https://azure.github.io/azureml-sdk-for-r/articles/deploying-models.html, , , , , , ]

Question 9 Microsoft DP-100
QUESTION DESCRIPTION:

You are creating a classification model for a banking company to identify possible instances of credit card fraud. You plan to create the model in Azure Machine Learning by using automated machine learning.

The training dataset that you are using is highly unbalanced.

You need to evaluate the classification model.

Which primary metric should you use?

  • A.

    normalized_mean_absolute_error

  • B.

    [spearman_correlation

  • C.

    AUC.weighted

  • D.

    accuracy

  • E.

    normalized_root_mean_squared_error

Correct Answer & Rationale:

Answer: C

Explanation:

AUC_weighted is a Classification metric.

Note: AUC is the Area under the Receiver Operating Characteristic Curve. Weighted is the arithmetic mean of the score for each class, weighted by the number of true instances in each class.

[Reference:, https://docs.microsoft.com/en-us/azure/machine-learning/how-to-understand-automated-ml, , , , , , ]

Question 10 Microsoft DP-100
QUESTION DESCRIPTION:

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?

  • A.

    Azure Machine Learning Service

  • B.

    Azure Machine Learning Studio

  • C.

    Azure Databricks

  • D.

    Azure Kubernetes Service (AKS)

Correct Answer & Rationale:

Answer: A

Explanation:

The Data Science Virtual Machine (DSVM) is a customized VM image on Microsoft’s Azure cloud built specifically for doing data science. Caffe2 and Chainer are supported by DSVM.

DSVM integrates with Azure Machine Learning.

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What You Need to Ace Microsoft Exam DP-100

Achieving success in the DP-100 Microsoft exam requires a blending of clear understanding of all the exam topics, practical skills, and practice of the actual format. There's no room for cramming information, memorizing facts or dependence on a few significant exam topics. It means your readiness for exam needs you develop a comprehensive grasp on the syllabus that includes theoretical as well as practical command.

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  • Develop a study routine managing time because it can be a major time-sink if you are slow
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Microsoft DP-100 Microsoft Azure FAQ

What are the prerequisites for taking Microsoft Azure Exam DP-100?

There are only a formal set of prerequisites to take the DP-100 Microsoft exam. It depends of the Microsoft organization to introduce changes in the basic eligibility criteria to take the exam. Generally, your thorough theoretical knowledge and hands-on practice of the syllabus topics make you eligible to opt for the exam.

How to study for the Microsoft Azure DP-100 Exam?

It requires a comprehensive study plan that includes exam preparation from an authentic, reliable and exam-oriented study resource. It should provide you Microsoft DP-100 exam questions focusing on mastering core topics. This resource should also have extensive hands on practice using Microsoft DP-100 Testing Engine.

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How hard is Microsoft Azure Certification exam?

Like any other Microsoft Certification exam, the Microsoft Azure is a tough and challenging. Particularly, it's extensive syllabus makes it hard to do DP-100 exam prep. The actual exam requires the candidates to develop in-depth knowledge of all syllabus content along with practical knowledge. The only solution to pass the exam on first try is to make sure diligent study and lab practice prior to take the exam.

How many questions are on the Microsoft Azure DP-100 exam?

The DP-100 Microsoft exam usually comprises 100 to 120 questions. However, the number of questions may vary. The reason is the format of the exam that may include unscored and experimental questions sometimes. Mostly, the actual exam consists of various question formats, including multiple-choice, simulations, and drag-and-drop.

How long does it take to study for the Microsoft Azure Certification exam?

It actually depends on one's personal keenness and absorption level. However, usually people take three to six weeks to thoroughly complete the Microsoft DP-100 exam prep subject to their prior experience and the engagement with study. The prime factor is the observation of consistency in studies and this factor may reduce the total time duration.

Is the DP-100 Microsoft Azure exam changing in 2026?

Yes. Microsoft has transitioned to v1.1, which places more weight on Network Automation, Security Fundamentals, and AI integration. Our 2026 bank reflects these specific updates.

How do technical rationales help me pass?

Standard dumps rely on pattern recognition. If Microsoft changes a single IP address in a topology, memorized answers fail. Our rationales teach you the logic so you can solve the problem regardless of the phrasing.