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NEW QUESTION: 1
You need to modify the inputs for the global penalty event model to address the bias and variance issue.
Which three 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:
NEW QUESTION: 2
DRAG DROP
Answer:
Explanation:
Explanation:
Box 1: Azure Log Analytics
Box 2: Azure Monitor
Box 3: Azure Log Analytics
Note:
Azure Monitor provides base-level infrastructure metrics and logs for most services in Microsoft Azure.
Azure Log Analytics plays a central role in Azure management by collecting telemetry and other data from a variety of sources and providing a query language and analytics engine that gives you insights into the operation of your applications and resources. You can either interact directly with Log Analytics data through log searches and views, or you may use analysis tools in other Azure services that store their data in Log Analytics such as Application Insights or Azure Security Center.
NEW QUESTION: 3
Cloud Kicks uses PDF documents to help the sales team about new products. Which feature should a constant recommend to store these documents?
A. Files sync
B. Attachments
C. Charter files
D. Document lists
Answer: A
NEW QUESTION: 4
An organization uses Azure Machine Learning service and wants to expand their use of machine learning.
You have the following compute environments. The organization does not want to create another compute environment.
You need to determine which compute environment to use for the following scenarios.
Which compute types should you use? To answer, drag the appropriate compute environments to the correct scenarios. Each compute environment 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:
Explanation:
Box 1: nb_server
Box 2: mlc_cluster
With Azure Machine Learning, you can train your model on a variety of resources or environments, collectively referred to as compute targets. A compute target can be a local machine or a cloud resource, such as an Azure Machine Learning Compute, Azure HDInsight or a remote virtual machine.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/concept-compute-target
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-set-up-training-targets