2026 Microsoft DP-100 Marvelous Testking Exam Questions

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Microsoft DP-100 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Design and prepare a machine learning solution	20-25%	- Manage compute resources 1. Select environments 2. Create and configure compute targets 3. Attach and monitor compute - Design a machine learning solution 1. Plan model deployment requirements 2. Define compute specifications for workloads 3. Determine dataset structure and format 4. Select development approach - Manage data assets 1. Register and manage datastores 2. Create and maintain data assets 3. Select storage services - Manage Azure Machine Learning workspace 1. Create and configure workspace 2. Work with registries 3. Use developer tools and CLI 4. Set up Git integration
Topic 2: Optimize language models for AI applications	25-30%	- Implement generative AI solutions 1. Use Azure AI Foundry 2. Build prompt flows 3. Apply prompt engineering - Optimize with Retrieval Augmented Generation 1. Configure Azure AI Search 2. Prepare and process data 3. Create vector stores and indexes - Evaluate and improve models 1. Apply responsible generative AI 2. Test and evaluate responses 3. Optimize for accuracy and safety
Topic 3: Explore data and run experiments	20-25%	- Run experiments 1. Use automated machine learning 2. Track runs with MLflow 3. Configure experiment runs 4. Define parameters and configurations - Explore and visualize data 1. Detect anomalies and outliers 2. Profile and validate data 3. Identify features and relationships - Implement pipelines 1. Build reusable components 2. Schedule and monitor pipelines 3. Create and publish pipelines 4. Pass data between steps
Topic 4: Train and deploy models	25-30%	- Train models 1. Configure jobs and environments 2. Use HyperDrive for hyperparameter tuning 3. Apply responsible AI principles 4. Run training scripts - Manage models 1. Package and validate models 2. Register and version models 3. Interpret models and explain predictions - Monitor and maintain models 1. Update and retrain models 2. Monitor performance and data drift 3. Implement MLOps practices - Deploy models 1. Deploy to online endpoints 2. Deploy to batch endpoints 3. Configure compute and scaling 4. Secure endpoints and manage access

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Microsoft Designing and Implementing a Data Science Solution on Azure Sample Questions (Q92-Q97):

NEW QUESTION # 92
You have an Azure Al Foundry project and a CSV file stored in Azure Blob Storage. You plan to add the CSV file as the grounding data to the project for RAG by using the file data type. You need to specify the URL schema to designate the blob location. Which URL schema should you specify?

A. sftp
B. https
C. nfs
D. file

Answer: B

NEW QUESTION # 93
You need to define an evaluation strategy for the crowd sentiment models.
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.

Answer:

Explanation:

Explanation:

Step 1: Define a cross-entropy function activation
When using a neural network to perform classification and prediction, it is usually better to use cross-entropy error than classification error, and somewhat better to use cross-entropy error than mean squared error to evaluate the quality of the neural network.
Step 2: Add cost functions for each target state.
Step 3: Evaluated the distance error metric.
References:
https://www.analyticsvidhya.com/blog/2018/04/fundamentals-deep-learning-regularization-techniques/

NEW QUESTION # 94
You use Azure Machine Learning Designer lo load the following datasets into an experiment:
Dataset1:

Dataset2:

You need to create a dataset that has the same columns and header row as the input datasets and contains all rows from both input datasets.
Solution: Use the Add Rows component.
Does the solution meet the goal?

A. No
B. Yes

Answer: A

NEW QUESTION # 95
You create an Azure Machine Learning workspace and install the MLflow library.
You need to tog different types of data by using the MLflow library.
Which method should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

NEW QUESTION # 96
You are developing a hands-on workshop to introduce Docker for Windows to attendees.
You need to ensure that workshop attendees can install Docker on their devices.
Which two prerequisite components should attendees install on the devices? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A. Kitematic
B. VirtualBox
C. Windows 10 64-bit Professional
D. Microsoft Hardware-Assisted Virtualization Detection Tool
E. BIOS-enabled virtualization

Answer: C,E

Explanation:
Explanation
C: Make sure your Windows system supports Hardware Virtualization Technology and that virtualization is enabled.
Ensure that hardware virtualization support is turned on in the BIOS settings. For example:

E: To run Docker, your machine must have a 64-bit operating system running Windows 7 or higher.
References:
https://docs.docker.com/toolbox/toolbox_install_windows/
https://blogs.technet.microsoft.com/canitpro/2015/09/08/step-by-step-enabling-hyper-v-for-use-on-windows-10/

NEW QUESTION # 97
......

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