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DP-100 Reliable Exam Papers & DP-100 Latest Test Guide

2025 Latest Fast2test DP-100 PDF Dumps and DP-100 Exam Engine Free Share: https://drive.google.com/open?id=1LkDnxs_LI5b88_AjGU4JhaSV59GUZ0Hs

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Obtaining the DP-100 certification demonstrates the candidate's proficiency in designing and implementing data science solutions on Azure. Designing and Implementing a Data Science Solution on Azure certification provides a competitive edge in the job market and opens up various career opportunities for the candidate. The DP-100 certification is also a prerequisite for other advanced Azure-based data science certifications, such as the DP-200 (Implementing an Azure Data Solution) and DP-201 (Designing an Azure Data Solution) certifications.

Step 5: Studying with Books

Books is another efficient preparation tool. There are several guides available for the Microsoft DP-100 exam but the most popular are listed below:

Designing and Implementing a Data Science Solution on Azure: Prepare for exam DP-100 by Stavros Koureas
Learn How to Pass DP-100: Designing and Implementing a Data Science Solution on Azure Exam: Learn at your fingertips by Rodrezil Publications
Exam Ref DP-100 Designing and Implementing a Data Science Solution on Azure 1st Edition by Pierstefano Tucci
Designing and Implementing a Data Science Solution on Azure - Exam Prep: Microsoft Azure DP-100 Certification Exam | Most Unique & Latest Questionnaires by VB Dev
How I Passed DP-100: Designing and Implementing a Data Science Solution on Azure: Sure Shot Certification Tips by Empirical Matt Publications

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Microsoft DP-100 Certification Exam is a challenging exam that requires candidates to have a strong understanding of data science concepts and Microsoft Azure data services. DP-100 exam is designed to test the candidate's ability to solve real-world data science problems using Microsoft Azure data services. Candidates who pass the exam will be able to demonstrate their ability to design and implement data science solutions on Microsoft Azure.

Microsoft Designing and Implementing a Data Science Solution on Azure Sample Questions (Q239-Q244):

NEW QUESTION # 239
You have the following Azure subscriptions and Azure Machine Learning service workspaces:

You need to obtain a reference to the ml-project workspace.
Solution: Run the following Python code:

Does the solution meet the goal?

A. Yes
B. No

Answer: B

NEW QUESTION # 240
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 an Azure Machine Learning model.
You plan to deploy the model to an online endpoint.
You need to ensure that applications will be able to use the authentication method with a non- expiring artifact to access the model.
Solution: Create a managed online endpoint and set the value of its auth_mode parameter to aml_token. Deploy the model to the online endpoint.
Does the solution meet the goal?

A. Yes
B. No

Answer: B

Explanation:
When consuming an online endpoint from a client, you can use either a key or a token. Keys don't expire, tokens do.
https://learn.microsoft.com/en-us/azure/machine-learning/how-to-authenticate-online- endpoint?view=azureml-api-2&tabs=python

NEW QUESTION # 241
You manage an Azure Machine Learning workspace. The development environment tor managing the workspace is configured to use Python SDK v2 in Azure Machine Learning Notebooks A Synapse Spark Compute is currently attached and uses system-assigned identity You need to use Python code to update the Synapse Spark Compute 10 use a user-assigned identity.
Solution: Configure the IdentityConfiguration class with the appropriate identity type.
Does the solution meet the goal?

A. Yes
B. No

Answer: A

NEW QUESTION # 242
A set of CSV files contains sales records. All the CSV files have the same data schema.
Each CSV file contains the sales record for a particular month and has the filename sales.csv. Each file in stored in a folder that indicates the month and year when the data was recorded. The folders are in an Azure blob container for which a datastore has been defined in an Azure Machine Learning workspace. The folders are organized in a parent folder named sales to create the following hierarchical structure:

At the end of each month, a new folder with that month's sales file is added to the sales folder.
You plan to use the sales data to train a machine learning model based on the following requirements:
You must define a dataset that loads all of the sales data to date into a structure that can be easily converted to a dataframe.
You must be able to create experiments that use only data that was created before a specific previous month, ignoring any data that was added after that month.
You must register the minimum number of datasets possible.
You need to register the sales data as a dataset in Azure Machine Learning service workspace.
What should you do?

A. Create a tabular dataset that references the datastore and specifies the path 'sales/*/sales.csv', register the dataset with the name sales_dataset and a tag named month indicating the month and year it was registered, and use this dataset for all experiments.
B. Create a new tabular dataset that references the datastore and explicitly specifies each 'sales/mm-yyyy/ sales.csv' file every month. Register the dataset with the name sales_dataset_MM-YYYY each month with appropriate MM and YYYY values for the month and year. Use the appropriate month-specific dataset for experiments.
C. Create a tabular dataset that references the datastore and explicitly specifies each 'sales/mm-yyyy/sales.
csv' file every month. Register the dataset with the name sales_dataset each month, replacing theexisting dataset and specifying a tag named month indicating the month and year it was registered.
Usethis dataset for all experiments.
D. Create a tabular dataset that references the datastore and explicitly specifies each 'sales/mm-yyyy/sales.csv' file. Register the dataset with the name sales_dataset each month as a new version and with a tag named month indicating the month and year it was registered. Use this dataset for all experiments, identifying the version to be used based on the month tag as necessary.

Answer: A

Explanation:
Specify the path.
Example:
The following code gets the workspace existing workspace and the desired datastore by name. And then passes the datastore and file locations to the path parameter to create a new TabularDataset, weather_ds.
from azureml.core import Workspace, Datastore, Dataset
datastore_name = 'your datastore name'
# get existing workspace
workspace = Workspace.from_config()
# retrieve an existing datastore in the workspace by name
datastore = Datastore.get(workspace, datastore_name)
# create a TabularDataset from 3 file paths in datastore
datastore_paths = [(datastore, 'weather/2018/11.csv'),
(datastore, 'weather/2018/12.csv'),
(datastore, 'weather/2019/*.csv')]
weather_ds = Dataset.Tabular.from_delimited_files(path=datastore_paths)

NEW QUESTION # 243
You manage an Azure Machine Learning workspace.
You must define the execution environments for your jobs and encapsulate the dependencies for your code.
You need to configure the environment from a Docker build context.
How should you complete the rode segment? To answer, select the appropriate option in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

NEW QUESTION # 244
......

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Neil Reed Neil Reed

Biography

DP-100 Reliable Exam Papers & DP-100 Latest Test Guide

Step 5: Studying with Books

Pass Guaranteed Microsoft DP-100 - First-grade Designing and Implementing a Data Science Solution on Azure Reliable Exam Papers

Microsoft Designing and Implementing a Data Science Solution on Azure Sample Questions (Q239-Q244):

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Support

Neil Reed Neil Reed

Biography

DP-100 Reliable Exam Papers & DP-100 Latest Test Guide

Step 5: Studying with Books

Pass Guaranteed Microsoft DP-100 - First-grade Designing and Implementing a Data Science Solution on Azure Reliable Exam Papers

Microsoft Designing and Implementing a Data Science Solution on Azure Sample Questions (Q239-Q244):

Quick Links

Resources

Support

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