Microsoft DP-100 exam - in .pdf

DP-100 pdf
  • Exam Code: DP-100
  • Exam Name: Designing and Implementing a Data Science Solution on Azure
  • Q & A: 528 Questions and Answers
  • PDF Price: $59.99
  • PDF Demo

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  • Exam Code: DP-100
  • Exam Name: Designing and Implementing a Data Science Solution on Azure
  • Q & A: 528 Questions and Answers
  • PDF Version + PC Test Engine + Online Test Engine
  • Value Pack Total: $119.98  $79.99
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Microsoft DP-100 exam - Testing Engine

DP-100 Testing Engine
  • Exam Code: DP-100
  • Exam Name: Designing and Implementing a Data Science Solution on Azure
  • Q & A: 528 Questions and Answers
  • Software Price: $59.99
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3. Models Management and Optimization (20-25%):

  • Models management: This objective focuses on trained model registration and monitoring of data drift and model usage.
  • Usage of hyperdrive for the tuning of hyperparameters: This domain will evaluate the ability of the applicants to define search space, primary metrics, and early termination alternatives. It also expects their skills in sampling techniques selection and model discovery that require optimal hyper-parameter values.
  • Usage of Automated Machine Learning for the creation of optimal models: This section requires your skills in retrieving the best models and getting data for Automated ML runs. It also covers competence in defining primary metrics, selecting pre-processing alternatives, and determining the algorithms to be searched. The candidates should be able to use the Automated Machine Learning from Azure ML SDK as well as Automated ML interface within Azure ML studios.
  • Usage of model explainers for the interpretation of models: The learners have to demonstrate their competence in choosing model interpreters and generating the features of important data.

Reference: https://www.microsoft.com/en-us/learning/exam-dp-100.aspx

Career Opportunities & Salary Outlook

The demand for the certified professionals is on the increase. As an Azure Data Scientist, you can explore many employment opportunities. So, if you want to boost your career potential, pursuing the Microsoft Certified: Azure Data Scientist Associate certification is the right step. To get this certificate, you have to pass the qualifying exam, which is Microsoft DP-100. With this associate-level certification, you can get the positions, such as a Data Scientist, a Senior Data Scientist, a Data Science Manager, and a Data Science Director. The average salary for these job roles is $135,000 per annum. With advanced experience, the specialists can earn up to $170,000 per year.

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Microsoft DP-100 Exam Syllabus Topics:

SectionObjectives
Train machine learning models- Train models using Azure Machine Learning
- Tune hyperparameters and evaluate models
Design and prepare a machine learning solution- Manage compute and data assets
- Plan and configure Azure Machine Learning workspace
- Select appropriate Azure services for machine learning workloads
Optimize and manage models- Track experiments and manage model lifecycle
- Improve model performance
Explore and analyze data- Perform exploratory data analysis
- Ingest and prepare data for modeling
Deploy and consume models- Deploy models to endpoints
- Monitor deployed models and endpoints

Microsoft Designing and Implementing a Data Science Solution on Azure Sample Questions:

Question #1

You create a multi-class image classification deep learning model.
You train the model by using PyTorch version 1.2.
You need to ensure that the correct version of PyTorch can be identified for the inferencing environment when the model is deployed.
What should you do?

  • A. Save the model locally as a.pt file, and deploy the model as a local web service.
  • B. Deploy the model on computer that is configured to use the default Azure Machine Learning condaenvironment.
  • C. Register the model with a .pt file extension and the default version property.
  • D. Register the model, specifying the model_framework and model_framework_version properties.
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Explanation: Only visible for DumpsKing members. You can sign-up / login (it's free).

Question #2

You have a feature set containing the following numerical features: X, Y, and Z.
The Poisson correlation coefficient (r-value) of X, Y, and Z features is shown in the following image:

Use the drop-down menus to select the answer choice that answers each question based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:

Box 1: 0.859122
Box 2: a positively linear relationship
+1 indicates a strong positive linear relationship
-1 indicates a strong negative linear correlation
0 denotes no linear relationship between the two variables.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/compute-linear-correlation

Question #3

You manage an Azure Machine Learning workspace.
You choose the urijolder data type as an output of a pipeline component.
You need to define the data access mode that is supported by your configuration.
Which mode should you define?

  • A. direct
  • B. download
  • C. rw_mount
  • D. eva|-download
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Question #4

You manage an Azure At Foundry project. You deploy an Azure OpenAI Service chat model. You configure the development environment with the necessary packages to build a Prompt flow in Visual Studio Code IDE.
You create a Python file called chat.py. You must configure the large language model with 0.2 as the temperature.
You need to develop the chat application.
Which two actions should you perform? Each correct answer presents part of the solution. Choose two.
NOTE: Each correct selection is worth one point.

  • A. Configure the project client to reference the deployed Azure OpenAI chat model.
  • B. Use chat.complete0 to configure the temperature of the deployed model.
  • C. Configure the prompt template to reference the deployed Azure OpenAI chat model.
  • D. Use the render0 function to reference the deployed Azure OpenAI chat model.
  • E. Configure the temperature in the prompt template.
Reveal Solution  Discussion  0

Correct Answer: A,B  🗳️

Question #5

You manage an Azure Machine Learning workspace.
You must log multiple metrics by using MLflow.
You need to maximize logging performance.
What are two possible ways to achieve this goal? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

  • A. mlflow.log. metric
  • B. mlflowlog_metrics
  • C. MLflowClient.log_batch
  • D. mlflow.log_param
Reveal Solution  Discussion  0

Correct Answer: B,C  🗳️

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