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Use Latest Microsoft DP-100 Dumps For Smooth Preparation
Microsoft DP-100 certification exam is a very difficult test. Even if the exam is very hard, many people still choose to sign up for the exam. As to the cause, DP-100 exam is a very important test. For IT staff, not having got the certificate has a bad effect on their job. Microsoft DP-100 certificate will bring you many good helps and also help you get promoted. In a word, this is a test that will bring great influence on your career. Such important exam, you also want to attend the exam.
To prepare for the DP-100 exam, candidates must have a solid understanding of data science and machine learning concepts, as well as experience working with Azure data services. They should be familiar with Azure Machine Learning Studio, Azure Databricks, Azure HDInsight, and other relevant Azure technologies. DP-100 exam consists of multiple-choice questions and performance-based tasks that require candidates to demonstrate their ability to design and implement data science solutions in real-world scenarios. The DP-100 Certification is a valuable credential for professionals seeking to advance their careers in data science and machine learning on the Azure platform.
DP-100 Certificate Exam | Accurate DP-100 Prep Material
This updated DP-100 exam study material consists of DP-100 PDF dumps, desktop practice exam software, and a web-based practice test. Experts have prepared the DP-100 desktop-based exam simulation software. There are DP-100 Actual Questions in the practice test to give you an exact impression of the Microsoft DP-100 original test.
The DP-100 exam includes various topics related to data science, such as data exploration, data preparation, data modeling, machine learning, and data visualization. DP-100 exam also tests the candidate's knowledge of Azure services that are used for data solutions, such as Azure Machine Learning, Azure Data Factory, Azure Stream Analytics, and Azure Databricks. DP-100 Exam Format includes multiple-choice questions, case studies, and practical exercises.
Microsoft Designing and Implementing a Data Science Solution on Azure Sample Questions (Q18-Q23):
NEW QUESTION # 18
You have a dataset that contains 2,000 rows. You are building a machine learning classification model by using Azure Learning Studio. You add a Partition and Sample module to the experiment.
You need to configure the module. You must meet the following requirements:
Divide the data into subsets
Assign the rows into folds using a round-robin method
Allow rows in the dataset to be reused
How should you configure the module? To answer, select the appropriate options in the dialog box in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Use the Split data into partitions option when you want to divide the dataset into subsets of the data. This option is also useful when you want to create a custom number of folds for cross-validation, or to split rows into several groups.
Add the Partition and Sample module to your experiment in Studio (classic), and connect the dataset.
For Partition or sample mode, select Assign to Folds.
Use replacement in the partitioning: Select this option if you want the sampled row to be put back into the pool of rows for potential reuse. As a result, the same row might be assigned to several folds.
If you do not use replacement (the default option), the sampled row is not put back into the pool of rows for potential reuse. As a result, each row can be assigned to only one fold.
Randomized split: Select this option if you want rows to be randomly assigned to folds.
If you do not select this option, rows are assigned to folds using the round-robin method.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/partition-and-sample
NEW QUESTION # 19
You publish a batch inferencing pipeline that will be used by a business application.
The application developers need to know which information should be submitted to and returned by the REST interface for the published pipeline.
You need to identify the information required in the REST request and returned as a response from the published pipeline.
Which values should you use in the REST request and to expect in the response? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 20
You create an Azure Machine Learning workspace named workspace1. You assign a custom role to a user of workspace1.
The custom role has the following JSON definition:
Instructions: 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:
Explanation
Graphical user interface, text, application, email Description automatically generated
Box 1: No
The actions listed in NotActions are prohibited.
If the roles include Actions that have a wildcard (*), the effective permissions are computed by subtracting the NotActions from the allowed Actions.
Box 2: No
Deleting compute resources in the workspace is in the NotActions list.
Box 3: Yes
Writing metrics is not listed in NotActions.
Reference:
https://docs.microsoft.com/en-us/azure/role-based-access-control/overview#how-azure-rbac-determines-if-a-user
NEW QUESTION # 21
You manage an Azure Machine Learning workspace. You submit a training job with the Azure Machine Learning Python SDK v2. You must use MLflow to log metrics, model parameters, and mode! artifacts automatically when training a model.
You start by writing the following code segment:
For each of the following statements, select Yes If the statement is true. Otherwise, select No.
Answer:
Explanation:
NEW QUESTION # 22
You are creating a machine learning model in Python. The provided dataset contains several numerical columns and one text column. The text column represents a product's category. The product category will always be one of the following:
Bikes
Cars
Vans
Boats
You are building a regression model using the scikit-learn Python package.
You need to transform the text data to be compatible with the scikit-learn Python package.
How should you complete the code segment? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Reference:
https://datascienceplus.com/linear-regression-in-python/
NEW QUESTION # 23
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