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NEW QUESTION: 1
You need to visually identify whether outliers exist in the Age column and quantify the outliers before the outliers are removed.
Which three Azure Machine Learning Studio modules should you use in sequence? To answer, move the appropriate modules from the list of modules to the answer area and arrange them in the correct order.

Answer:
Explanation:

Explanation
Create Scatterplot
Summarize Data
Clip Values
You can use the Clip Values module in Azure Machine Learning Studio, to identify and optionally replace data values that are above or below a specified threshold. This is useful when you want to remove outliers or replace them with a mean, a constant, or other substitute value.
References:
https://blogs.msdn.microsoft.com/azuredev/2017/05/27/data-cleansing-tools-in-azure-machine-learning/
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/clip-values

NEW QUESTION: 2

A. Option B
B. Option A
C. Option D
D. Option C
Answer: A
Explanation:
Explanation/Reference:
https://www.vmware.com/products/vsphere-hypervisor/

NEW QUESTION: 3
Your business is building a new application that will store its entire customer database on a RDS MySQL database, and will have various applications and users that will query that data for different purposes.
Large analytics jobs on the database are likely to cause other applications to not be able to get the query results they need to, before time out. Also, as your data grows, these analytics jobs will start to take more time, increasing the negative effect on the other applications.
How do you solve the contention issues between these different workloads on the same data?
A. Enable Multi-AZ mode on the RDS instance
B. Use ElastiCache to offload the analytics job data
C. Run the RDS instance on the largest size possible
D. Create RDS Read-Replicas for the analytics work
Answer: D
Explanation:
Explanation
References: https://docs.aws.amazon.com/IAM/latest/UserGuide/best-practices.html