Sample DP-100 Questions | DP-100 Reliable Exam Sample

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Microsoft DP-100 Certification Exam is designed to assess the skills and knowledge of data scientists and data engineers in designing and implementing data science solutions using Microsoft Azure technologies. Designing and Implementing a Data Science Solution on Azure certification is ideal for professionals who are looking to enhance their career in the field of data science and want to demonstrate their expertise in designing and implementing data science solutions on Azure.

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The DP-100 exam covers a range of topics, including creating and managing data sets, building and training predictive models, deploying models to production environments, and monitoring and optimizing the performance of models. Candidates will be required to demonstrate their ability to work with Azure Machine Learning, Azure Databricks, and other Azure data services, and to use tools such as Python and R to design and implement data solutions.

One of the key benefits of the DP-100 certification is that it demonstrates a professional's ability to work with a variety of Azure data services, including Azure Machine Learning, Azure Databricks, and Azure Stream Analytics. These services are critical for building data science solutions that can help organizations extract insights and drive business value. By earning the DP-100 Certification, data professionals can showcase their expertise in these areas and differentiate themselves from other candidates in the job market.

Microsoft Designing and Implementing a Data Science Solution on Azure Sample Questions (Q349-Q354):

NEW QUESTION # 349
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:

1 - Add new features for retraining supervised models.
2 - Evaluate the changes in correlation...
3 - Filter labeled cases for retraining...
Reference:
https://en.wikipedia.org/wiki/Nearest_centroid_classifier
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/sweep-clustering

NEW QUESTION # 350
You manage an Azure Machine Learning workspace. You plan to import data from Azure Data Lake Storage Gen2. You need to build a URI that represents the storage location. Which protocol should you use?

A. https
B. adl
C. wasbs
D. abfss

Answer: D

NEW QUESTION # 351
You register the following versions of a model.

You use the Azure ML Python SDK to run a training experiment. You use a variable named run to reference the experiment run.
After the run has been submitted and completed, you run the following code:

For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-deploy-and-where

NEW QUESTION # 352
You are hired as a data scientist at a winery. The previous data scientist used Azure Machine Learning.
You need to review the models and explain how each model makes decisions.
Which explainer modules should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

Meta explainers automatically select a suitable direct explainer and generate the best explanation info based on the given model and data sets. The meta explainers leverage all the libraries (SHAP, LIME, Mimic, etc.) that we have integrated or developed. The following are the meta explainers available in the SDK:
Tabular Explainer: Used with tabular datasets.
Text Explainer: Used with text datasets.
Image Explainer: Used with image datasets.
Box 1: Tabular
Box 2: Text
Box 3: Image
Reference:
https://medium.com/microsoftazure/automated-and-interpretable-machine-learning-d07975741298

NEW QUESTION # 353
You must use in Azure Data Science Virtual Machine (DSVM) as a compute target.
You need to attach an existing DSVM to the workspace by using the Azure Machine Learning SDK for Python.
How should you complete the following code segment? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

NEW QUESTION # 354
......

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