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NEW QUESTION: 1
Match the industry trend with its use case.

Answer:
Explanation:

Explanation
Efficiently user server, storage, and networking resources - Virtualization Externalize the infrastructure and eliminate data center capital expenditures - Cloud computing Share a common resource or execute a common application across multiple servers for high availability and/or load balancing - Clustering Deploy workloads at cloud-like speed on an HPE factory-integrated infrastructure - Converged system

NEW QUESTION: 2
Your network environment includes remote employees. You need to create a secure connection for the remote employees who require access to your Azure virtual network. What should you do?
A. Deploy Windows Server 2012 RRAS
B. Configure an ExpressRoute
C. Configure a site-to-site VPN
D. Configure a point-to-site VPN
Answer: D
Explanation:
Virtual Network is a service that allows you to create a private, isolated network in Windows Azure and treat it as an extension of your datacenter. You can assign private IP addresses to virtual machines inside a virtual network, specify DNS, and connect it to your on-premises infrastructure using a Cisco or Juniper hardware VPN device in a 'site-to-site' manner.
Reference: https://azure.microsoft.com/en-us/blog/virtual-network-adds-new-capabilities-for-cross- premises-connectivity/

NEW QUESTION: 3
You are analyzing a dataset by using Azure Machine Learning Studio.
YOU need to generate a statistical summary that contains the p value and the unique value count for each feature column.
Which two modules can you users? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
A. Summarize Data
B. Execute Python Script
C. Compute linear Correlation
D. Export Count Table
E. Convert to Indicator Values
Answer: C,D
Explanation:
The Export Count Table module is provided for backward compatibility with experiments that use the Build Count Table (deprecated) and Count Featurizer (deprecated) modules.
E: Summarize Data statistics are useful when you want to understand the characteristics of the complete dataset. For example, you might need to know:
How many missing values are there in each column?
How many unique values are there in a feature column?
What is the mean and standard deviation for each column?
The module calculates the important scores for each column, and returns a row of summary statistics for each variable (data column) provided as input.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/export-count-table
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/summarize-data

NEW QUESTION: 4
A Job Engine is running in low space mode and no jobs are in the running state. What is the OneFS8.2 behavior if the AutoBalance job is initiated?
A. Job is not started.
B. Job is failed.
C. Job is started.
D. Job is put into the queue.
Answer: A