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| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Designing and Implementing a Data Science Solution on Azure |
| Exam Number: | DP-100 |
| Real Exam Qty: | 40-60 |
| Exam Duration: | 100 minutes |
| Passing Score: | 700 |
| Exam Format: | Yes/No, Multiple select, Drag and drop, Case studies, Multiple choice |
| Related Certifications: | Microsoft Certified: Azure Data Engineer Associate Microsoft Certified: Azure AI Engineer Associate |
| Available Languages: | Arabic (Saudi Arabia), English, German, Chinese (Traditional), Indonesian (Indonesia), French, Russian, Korean, Spanish, Italian, Japanese, Chinese (Simplified), Portuguese (Brazil) |
| Certificate Validity Period: | 1 year |
| Exam Price: | $165 USD |
| Recommended Training: | Microsoft Learn Learning Path Course DP-100T01-A: Designing and Implementing a Data Science Solution on Azure |
| Exam Registration: | Microsoft Learn Registration Pearson VUE Scheduling |
| Sample Questions: | Microsoft DP-100 Sample Questions |
| Exam Way: | Online proctored or onsite at Pearson VUE test centers |
| Pre Condition: | No mandatory prerequisites; recommended knowledge: Azure fundamentals, Python programming, data science concepts, machine learning frameworks (Scikit-learn, PyTorch, Tensorflow) |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/dp-100 |
>> Microsoft DP-100 Interactive Questions <<
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Officially, there is no prior work-experience or educational expertise related to DP-100 exam. Anyone, willing to make it big in the world of data science, can go for it. However, industry pundits say that beginner-level expertise in concepts like running data experiments and machine learning will make the exam journey a lot more simplified and easy to accomplish.
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 DP-100 certification exam is an excellent way for data science professionals to validate their expertise in designing and implementing data science solutions on Microsoft Azure. DP-100 exam is recognized globally and is highly regarded by employers in the field of data science. Designing and Implementing a Data Science Solution on Azure certification is a testament to the candidate's knowledge and expertise in the field of data science and can open up new career opportunities.
NEW QUESTION # 121
You use an Azure Machine Learning workspace. Azure Data Factor/ pipeline, and a dataset monitor that runs en a schedule to detect data drift.
You need to Implement an automated workflow to trigger when the dataset monitor detects data drift and launch the Azure Data Factory pipeline to update the dataset. The solution must minimize the effort to configure the workflow.
How should you configure the workflow? To answer select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
NEW QUESTION # 122
You are working on a classification task. You have a dataset indicating whether a student would like to play soccer and associated attributes. The dataset includes the following columns:
You need to classify variables by type.
Which variable should you add to each category? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
References:
https://www.edureka.co/blog/classification-algorithms/
NEW QUESTION # 123
You have an Azure Machine Learning workspace and a data source file ./data/cc_data.csv in the local storage.
You plan to use Azure Machine Learning Python SDK v2 to store the content of the cc.data.csv file in a data asset named cc_data_asset in the workspace.
You write code to connect to the workspace and import all required libraries.
You need to complete the remaining code to ensure it will result in the cc_data_asset that contains the data from cc_data.csv.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
NEW QUESTION # 124
You manage an Azure Machine Learning workspace. You create an experiment named experiment1 by using the Azure Machine Learning Python SDK v2 and MLflow.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
Answer:
Explanation:
Explanation:
NEW QUESTION # 125
You have an existing GitHub repository containing Azure Machine Learning project files.
You need to clone the repository to your Azure Machine Learning shared workspace file system.
Which four 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.
NOTE: More than one order of answer choices is correct. You will receive credit for any of the correct orders you select.
Answer:
Explanation:
1 - Fro the terminal window in the Azure Machine Learning interface, run the git clone command.
2 - From the terminal window in the Azure Machine Learning interface, run the cat~/.ssh/id_rsa.pub command.
3 - From the terminal window in the Azure Machine Learning interface, run the ssh-keygen command.
4 - Add a public key to the GitHub account.
NEW QUESTION # 126
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