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Microsoft DP-100 is a certification exam that validates one’s ability to design and implement data science solutions on Azure. DP-100 exam is designed for professionals who want to enhance their skills in data science and become certified in Azure data science solutions. DP-100 exam covers a wide range of topics, including data exploration, data preparation, modeling, and deployment.
The Microsoft DP-100 exam covers a range of topics related to data science, including data ingestion, transformation, and storage. Candidates will be tested on their ability to design and implement solutions using Azure tools and services, such as Azure Machine Learning, Azure Cognitive Services, and Azure Data Factory. They will also be tested on their ability to work with big data technologies such as Hadoop and Spark.
The Microsoft DP-100 Exam is designed to test the candidate's knowledge of a wide range of topics, including data ingestion and processing, machine learning models, real-time and batch data processing, monitoring and optimization solutions, as well as data storage and management solutions. Designing and Implementing a Data Science Solution on Azure certification is a rigorous test of a candidate's skills and knowledge, and passing the exam requires a deep understanding of these topics.
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NEW QUESTION # 74
You use Azure Machine Learning to deploy a model as a real-time web service.
You need to create an entry script for the service that ensures that the model is loaded when the service starts and is used to score new data as it is received.
Which functions should you include in the script? To answer, drag the appropriate functions to the correct actions. Each function may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-deploy-existing-model
NEW QUESTION # 75
Hotspot Question
You manage an Azure Machine Learning workspace named workspace1 by using the Python SDK v2.
The default datastore of workspace1 contains a folder named sample_data. The folder structure contains the following content:
|- sample_data
|- MLTable
|- file1.txt
|- file2.txt
|- file3.txt
You write Python SDK v2 code to materialize the data from the files in the sample_data folder into a Pandas data frame.
You need to complete the Python SDK v2 code to use the MLTable folder as the materialization blueprint.
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:
NEW QUESTION # 76
You need to implement source control for scripts in an Azure Machine Learning workspace. You use a terminal window in the Azure Machine Learning Notebook tab You must authenticate your Git account with SSH.
You need to generate a new SSH key.
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 m the correct order.
Answer:
Explanation:
Explanation:
NEW QUESTION # 77
You create a binary classification model using Azure Machine Learning Studio.
You must use a Receiver Operating Characteristic (RO C) curve and an F1 score to evaluate the model.
You need to create the required business metrics.
How should you complete the experiment? To answer, select the appropriate options in the dialog box in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:
NEW QUESTION # 78
You train a model and register it in your Azure Machine Learning workspace. You are ready to deploy the model as a real-time web service.
You deploy the model to an Azure Kubernetes Service (AKS) inference cluster, but the deployment fails because an error occurs when the service runs the entry script that is associated with the model deployment.
You need to debug the error by iteratively modifying the code and reloading the service, without requiring a re-deployment of the service for each code update.
What should you do?
Answer: C
Explanation:
How to work around or solve common Docker deployment errors with Azure Container Instances (ACI) and Azure Kubernetes Service (AKS) using Azure Machine Learning.
The recommended and the most up to date approach for model deployment is via the Model.deploy() API using an Environment object as an input parameter. In this case our service will create a base docker image for you during deployment stage and mount the required models all in one call. The basic deployment tasks are:
1. Register the model in the workspace model registry.
2. Define Inference Configuration:
a. Create an Environment object based on the dependencies you specify in the environment yaml file or use one of our procured environments.
b. Create an inference configuration (InferenceConfig object) based on the environment and the scoring script.
3. Deploy the model to Azure Container Instance (ACI) service or to Azure Kubernetes Service (AKS).
NEW QUESTION # 79
......
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