In Azure Machine Learning, Azure Event Grid can be utilized to track specific events occurring within the machine learning workflow. Which of these scenarios are examples of events that Azure Event Grid can capture and relay to event handlers like Azure Logic Apps or Azure Functions? (Choose 2)

A- Detection of data drift in datasets; D- Registration of a new machine learning model in the workspace

Regarding the use of GitHub Actions for automating Azure Machine Learning activities, where are the YAML files defining GitHub Actions workflows typically stored?

C- In the code repository under a directory named .github/workflows

In the process of creating a simple machine learning pipeline using Azure Machine Learning's Python SDK, consider the following code blocks for data preparation and training steps. What is the purpose of the last line in the training step's code block?

C- Passes prepared data to the training step

In the process of integrating an existing virtual machine (VM) into your Azure Machine Learning workspace as a compute target for small-scale training jobs, which factors must be considered to ensure its suitability for the task? (Choose 3)

A- Adequate unused capacity is essential to handle the training jobs without impacting other operations running on the VM.; C- A public IP address is necessary for Azure Machine Learning to communicate with the VM, enabling it to serve as a compute target.; E- The VM should conform to one of the general-purpose machine types recommended in Azure Machine Learning compute instance setup.

When transitioning from developing machine learning models in notebooks to scripts, which practices are recommended by Microsoft to ensure that the scripts are production-ready and suitable for automation? (Choose 2)

A- Removing nonessential code, like exploratory code and print statements, helps streamline the script for automation and reduces clutter.; D- Refactoring code into smaller functions improves the script's structure, making it easier to read, debug, and maintain, which is crucial for automated production environments.

In the context of using MLflow for managing machine learning activities, which Python code block correctly enables a feature that logs all parameters, metrics, and artifacts automatically, without the need for individual logging functions?

C- import mlflow; mlflow.autolog()

As someone with experience in data engineering and looking to transition to a role focusing on data science, you encounter the term "data wrangling" frequently. Understanding this term is crucial for your new role in a data science team using Azure Machine Learning. How would you define "data wrangling" in the context of Azure Machine Learning?

A- Data wrangling is the process of transforming raw data into a structured and usable format that aligns with the requirements of a particular machine learning model or application. This process can include cleaning, structuring, and enriching raw data before it is used in analytic processes. It is more than just preprocessing; it often involves a more interactive and exploratory approach to understanding and transforming data.

In Azure Machine Learning, Azure Event Grid can be utilized to track specific events occurring within the machine learning workflow. Which of these scenarios are examples of events that Azure Event Grid can capture and relay to event handlers like Azure Logic Apps or Azure Functions? (Choose 2)

A- Detection of data drift in datasets; D- Registration of a new machine learning model in the workspace

Microsoft Certified: Azure Data Scientist Associate - (DP-100) Practice Questions — Page 2

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Total Questions

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2026

Last Updated

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Independent Practice

Editorial Review

Preparing for the Microsoft Certified: Azure Data Scientist Associate (DP-100) exam requires a solid understanding of the relevant concepts and practical experience. This practice exam provides candidates with access to a comprehensive set of 630 real practice questions that reflect the content and difficulty level of the official certification test. Engaging with these questions allows candidates to assess their knowledge and identify areas that require further study.

By simulating the exam environment, candidates can hone their time management skills and familiarize themselves with the question formats they will encounter during the actual exam. The practice exam serves as a valuable tool for self-assessment, enabling candidates to gauge their readiness and confidence before sitting for the certification test. Additionally, by reviewing their performance on the practice exam, candidates can tailor their study plans to address specific weak points, ensuring a more targeted and efficient preparation process. Ultimately, this practice exam is designed to enhance both understanding and proficiency in the topics that are critical for success in the DP-100 certification.

These are independent practice questions modeled on publicly available objectives; they are not official exam questions and are not endorsed by the certification provider. Explanations are intended to teach the reasoning behind each answer.

Read the exam guide, objectives, prerequisites, and study plan

Per page:

Welcome to the questions and answers listing page for the Microsoft Certified: Azure Data Scientist Associate - (DP-100) certification. Here, you'll find a comprehensive collection of 630 real practice questions designed to help you prepare effectively for the exam. These questions cover a wide range of topics relevant to the certification, allowing you to gauge your understanding and identify areas that may require further study. As you navigate through this resource, consider using it as a diagnostic tool: attempt to answer the questions without looking at the answers first to assess your current knowledge, then review the correct answers and explanations to deepen your understanding.

To enhance your study approach for the Azure Data Scientist Associate certification, consider these tips:

1. Focus on Practical Application: Hands-on experience is crucial. Work on real-world data projects using Azure tools to solidify your understanding of data science concepts and techniques.

2. Join Study Groups: Collaborating with peers can provide different perspectives and insights. Discussing complex topics and explaining concepts to others can strengthen your own understanding.

3. Utilize Official Resources: Make sure to refer to Microsoft’s official learning paths and documentation. These resources are tailored to the certification and can provide a solid foundation for studying.

By using these resources effectively and adopting a structured study approach, you'll be well-equipped to tackle the certification exam confidently.

Question 11 Single Choice

In an Azure Machine Learning project, you are utilizing a collection of images stored in Azure Data Lake Storage Gen2 for training a model. When creating a data asset that points to this data source, what type of asset should you select to appropriately reference the image data?

Question 12 Single Choice

In an Azure Machine Learning environment, you are deploying two models using a blue/green deployment strategy and wish to direct a specific percentage of traffic to each model. Using the Azure Machine Learning Python SDK, how would you configure the endpoint to route 70% of the traffic to the 'blue' model and 30% to the 'green' model? Choose the correct code snippet from the options below, assuming the endpoint object is already defined.

Question 13 Single Choice

You are tasked with creating a datastore in Azure Machine Learning using Python SDK. Fill in the blank in the following Python SDK code block that correctly instantiates an Azure Blob Datastore:

Question 14 Single Choice

You're developing a machine learning model in an Azure Notebook and need to load data from a CSV file into a pandas DataFrame. The file, 'source_data.csv', is located in the same directory as your Python script 'MyMLScript.py'. What is the correct way to load this data into a DataFrame at the beginning of your script?

Question 15 Single Choice

In a simple regression model training pipeline built using Azure Machine Learning studio Designer, which step is considered optional?

Question 16 Single Choice

In Python, when working with pandas DataFrames, you often encounter columns with null or missing values. If you need to replace these null values in a numerical column of a DataFrame with a specific numerical value, which line of code is the correct approach?

Question 17 Multiple Choice

In the context of converting notebooks to production-ready scripts in Azure Machine Learning, Microsoft recommends refactoring large, monolithic code blocks into smaller functions. What are the primary benefits of this practice? (Choose 2)

Question 18 Single Choice

Consider this Python SDK code snippet used to configure and run a script as a command job in Azure Machine Learning. Complete the blank in the code to correctly submit the job using the ml_client object.

Question 19 Multiple Choice

In the context of Azure Automated Machine Learning (AutoML), how can a user influence the outcomes and performance despite AutoML's automation features? (Choose 2)

Question 20 Single Choice

To ensure adherence to responsible AI principles in your machine learning projects, which tool would be most appropriate to provide a comprehensive view of your models and data?

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Frequently Asked Questions

How realistic are the practice questions for the DP-100 exam?

The practice questions are designed to closely mimic the format and difficulty of the actual DP-100 exam, providing you with a realistic testing experience to better prepare for the certification.

How should I use the practice questions to prepare for the exam?

You should systematically work through the practice questions, review explanations for both correct and incorrect answers, and identify areas where you need further study to reinforce your understanding of Azure Data Science concepts.

How many practice questions should I complete before taking the real exam?

While there is no set number, completing at least 80-100 practice questions can help gauge your readiness, but aim for thorough understanding rather than just quantity.

Can I retake the practice exam multiple times?

Yes, you can retake the practice exam as often as needed, providing a valuable opportunity to track your progress and improve your performance over time.

What should I do if I perform poorly on the practice questions?

If you perform poorly, review the topics related to the questions you missed and focus on studying those areas before retaking the practice questions.

Microsoft Certified: Azure Data Scientist Associate - (DP-100) Practice Questions — Page 2

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Question 12 Single Choice

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Question 17 Multiple Choice

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