Databricks Associate-Developer-Apache-Spark-3.5 Q&A - in .pdf

  • Associate-Developer-Apache-Spark-3.5 pdf
  • Exam Code: Associate-Developer-Apache-Spark-3.5
  • Exam Name: Databricks Certified Associate Developer for Apache Spark 3.5 - Python
  • PDF Version: V19.35
  • Q & A: 365 Questions and Answers
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  • Exam Code: Associate-Developer-Apache-Spark-3.5
  • Exam Name: Databricks Certified Associate Developer for Apache Spark 3.5 - Python
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NEW QUESTION: 1
What are the three tabs available in SmartView Tracker?
A. Endpoint, Active, and Custom Queries
B. Predefined, All Records, Custom Queries
C. Network & Endpoint, Management, and Active
D. Network, Endpoint, and Active
Answer: B

NEW QUESTION: 2
You create a new Azure subscription. No resources are provisioned in the subscription.
You need to create an Azure Machine Learning workspace.
What are three possible ways to achieve this goal? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
A. Navigate to Azure Machine Learning studio and create a workspace.
B. Use the Azure Command Line Interface (CLI) with the Azure Machine Learning extension to call the az group create function with --name and --location parameters, and then the az ml workspace create function, specifying -w and -g parameters for the workspace name and resource group.
C. Use an Azure Resource Management template that includes a Microsoft.MachineLearningServices/ workspaces resource and its dependencies.
D. Run Python code that uses the Azure ML SDK library and calls the Workspace.create method with name, subscription_id, resource_group, and location parameters.
E. Run Python code that uses the Azure ML SDK library and calls the Workspace.get method with name, subscription_id, and resource_group parameters.
Answer: A,B,C
Explanation:
B: You can use an Azure Resource Manager template to create a workspace for Azure Machine Learning.
Example:
{"type": "Microsoft.MachineLearningServices/workspaces",
...
C: You can create a workspace for Azure Machine Learning with Azure CLI Install the machine learning extension.
Create a resource group: az group create --name <resource-group-name> --location <location> To create a new workspace where the services are automatically created, use the following command: az ml workspace create -w <workspace-name> -g <resource-group-name> D: You can create and manage Azure Machine Learning workspaces in the Azure portal.
Sign in to the Azure portal by using the credentials for your Azure subscription.
In the upper-left corner of Azure portal, select + Create a resource.
Use the search bar to find Machine Learning.
Select Machine Learning.
In the Machine Learning pane, select Create to begin.

Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-create-workspace-template
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-manage-workspace-cli
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-manage-workspace

NEW QUESTION: 3

A. Option B
B. Option C
C. Option D
D. Option A
Answer: D

NEW QUESTION: 4
What is the difference between a computer virus and a worm?
A. A worm can replicate by itself, whereas a virus requires user action to replicate.
B. A worm can deposit an illicit server, whereas a virus cannot.
C. A worm can deposit an illicit server, whereas a worm cannot.
D. A virus can replicate by itself, whereas a worm requires user action to replicate.
Answer: A

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