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[General] What Will be the Result of Preparing with Microsoft DP-100 Practice Questions?

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【General】 What Will be the Result of Preparing with Microsoft DP-100 Practice Questions?

Posted at yesterday 14:33      View：4 | Replies：0        Print      Only Author   [Copy Link] 1#
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Microsoft DP-100 exam is designed for data scientists who want to demonstrate their ability to design and implement data science solutions on Microsoft Azure. DP-100 exam is an important step towards earning the Microsoft Certified: Azure Data Scientist Associate certification. It covers a range of topics including data exploration, data preparation, modeling, and deployment. Passing DP-100 exam requires a deep understanding of Azure services and tools, as well as strong data science skills.
To prepare for the DP-100 Exam, candidates should have a solid understanding of machine learning concepts, programming languages such as Python and R, and Azure services such as Azure Machine Learning and Azure Databricks. Microsoft offers a range of training resources, including online courses and practice exams, to help candidates prepare for the exam.
Microsoft Designing and Implementing a Data Science Solution on Azure Sample Questions (Q491-Q496):NEW QUESTION # 491
You write five Python scripts that must be processed in the order specified in Exhibit A - which allows the same modules to run in parallel, but will wait for modules with dependencies.
You must create an Azure Machine Learning pipeline using the Python SDK, because you want to script to create the pipeline to be tracked in your version control system. You have created five PythonScriptSteps and have named the variables to match the module names.

You need to create the pipeline shown. Assume all relevant imports have been done.
Which Python code segment should you use?

  • A. Option D
  • B. Option C
  • C. Option A
  • D. Option B
Answer: C
Explanation:
The steps parameter is an array of steps. To build pipelines that have multiple steps, place the steps in order in this array.
Reference:
https://docs.microsoft.com/en-us ... e-parallel-run-step

NEW QUESTION # 492
You must store data in Azure Blob Storage to support Azure Machine Learning.
You need to transfer the data into Azure Blob Storage.
What are three possible ways to achieve the goal? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
  • A. AzCopy
  • B. Bulk Insert SQL Query
  • C. Bulk Copy Program (BCP)
  • D. Python script
  • E. Azure Storage Explorer
Answer: A,D,E
Explanation:
You can move data to and from Azure Blob storage using different technologies:
Azure Storage-Explorer
AzCopy
Python
SSIS
References:
https://docs.microsoft.com/en-us ... ess/move-azure-blob

NEW QUESTION # 493
You manage an Azure Machine Learning workspace. You build a model for which you must configure a Responsible AI dashboard.
Based on what you learn from the dashboard, you must perform the following activities:
- Determine what must be done to get a desirable outcome from the
model.
- Identify the features that have the most direct effect on your
outcome of interest.
You need to select the components to use for the Responsible AI dashboard configuration.
Which two components should you add? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
  • A. counterfactuals
  • B. explanation
  • C. causal
  • D. error analysis
Answer: A,C
Explanation:
Use what-if counterfactuals when you need to:
Provide solutions to users and determine what they can do to get a desirable outcome from the model.
Use causal inference when you need to:
Identify the features that have the most direct effect on your outcome of interest.
https://learn.microsoft.com/en-u ... ing/concept-causal- inference?view=azureml-api-2
https://learn.microsoft.com/en-u ... ept-counterfactual- analysis?view=azureml-api-2

NEW QUESTION # 494
You are using Azure Machine Learning to train machine learning models. You need a compute target on which to remotely run the training script. You run the following Python code:


Answer:
Explanation:

Explanation:
Box 1: Yes
The compute is created within your workspace region as a resource that can be shared with other users.
Box 2: Yes
It is displayed as a compute cluster.
View compute targets
1. To see all compute targets for your workspace, use the following steps:
2. Navigate to Azure Machine Learning studio.
3. Under Manage, select Compute.
4. Select tabs at the top to show each type of compute target.

Box 3: Yes
min_nodes is not specified, so it defaults to 0.
Reference:
https://docs.microsoft.com/en-us ... ioningconfiguration
https://docs.microsoft.com/en-us ... tach-compute-studio

NEW QUESTION # 495
You create an Azure Machine Learning workspace.
You need to use the shared file system of the workspace to store a clone of a private Git repository.
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.

Answer:
Explanation:

Explanation:


NEW QUESTION # 496
......
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