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NEW QUESTION: 1
What is the purpose of the Bash built-in export command?
A. To save variable settings for future shell invocations.
B. To make the command history available to sub-shells.
C. To allow disks to be mounted remotely.
D. To run a command as a process in a sub-shell.
E. To automate the export of variables for subsequently executed commands.
Answer: E

NEW QUESTION: 2

A. Azure PowerShell
B. Azure Resource Explorer
C. Azure Command-Line Interface (CLI)
D. Resource Manager templates
E. Azure Traffic Manager
Answer: A,C,D
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/azure/virtual-machine-scale-sets/virtual-machine-scale-sets-autoscale-overview

NEW QUESTION: 3
Which of the following statements about Legacy SQL and Standard SQL is not true?
A. Standard SQL is the preferred query language for BigQuery.
B. You need to set a query language for each dataset and the default is Standard SQL.
C. If you write a query in Legacy SQL, it might generate an error if you try to run it with Standard SQL.
D. One difference between the two query languages is how you specify fully-qualified table names (i.e. table names that include their associated project name).
Answer: B
Explanation:
You do not set a query language for each dataset. It is set each time you run a query and the default query language is Legacy SQL.
Standard SQL has been the preferred query language since BigQuery 2.0 was released.
In legacy SQL, to query a table with a project-qualified name, you use a colon, :, as a separator. In standard SQL, you use a period, ., instead.
Due to the differences in syntax between the two query languages (such as with project- qualified table names), if you write a query in Legacy SQL, it might generate an error if you try to run it with Standard SQL.
Reference:
https://cloud.google.com/bigquery/docs/reference/standard-sql/migrating-from-legacy-sql

NEW QUESTION: 4
PyTorch All existing versions support Python2 with Python3?
A. TRUE
B. FALSE
Answer: B

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