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NEW QUESTION: 1
You administer all the deployments of Microsoft SQL Server 2012 in your company. You need to ensure that data changes are sent to a non-SQL Server database server in near real time. You also need to ensure that data on the primary server is unaffected. Which configuration should you use?
A. SQL Server that includes an application database configured to perform transactional replication
B. Two servers configured in different data centers SQL Server Availability Group configured in Synchronous-Commit Availability Mode One server configured as an Active Secondary
C. SQL Server that includes an application database configured to perform snapshot replication
D. Two servers configured in the same data center A primary server configured to perform log-shipping every 10 minutes A backup server configured as a warm standby
E. Two servers configured on the same subnet SQL Server Availability Group configured in Synchronous-Commit Availability Mode
F. Two servers configured in a Windows Failover Cluster in the same data center SQL Server configured as a clustered instance
G. Two servers configured in the same data center SQL Server Availability Group configured in Asynchronous-Commit Availability Mode One server configured as an Active Secondary
H. Two servers configured in different data centers SQL Server Availability Group configured in Asynchronous-Commit Availability Mode
Answer: A
Explanation:
-- BURGOS - NO --\BURGOS
According to this reference, this answer looks correct.
Reference: http://technet.microsoft.com/en-us/library/ms151738.aspx
NEW QUESTION: 2
You have a Python data frame named salesData in the following format:
The data frame must be unpivoted to a long data format as follows:
You need to use the pandas.melt() function in Python to perform the transformation.
How should you complete the code segment? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: dataFrame
Syntax: pandas.melt(frame, id_vars=None, value_vars=None, var_name=None, value_name='value', col_level=None)[source] Where frame is a DataFrame Box 2: shop Paramter id_vars id_vars : tuple, list, or ndarray, optional Column(s) to use as identifier variables.
Box 3: ['2017','2018']
value_vars : tuple, list, or ndarray, optional
Column(s) to unpivot. If not specified, uses all columns that are not set as id_vars.
Example:
df = pd.DataFrame({'A': {0: 'a', 1: 'b', 2: 'c'},
... 'B': {0: 1, 1: 3, 2: 5},
... 'C': {0: 2, 1: 4, 2: 6}})
pd.melt(df, id_vars=['A'], value_vars=['B', 'C'])
A variable value
0 a B 1
1 b B 3
2 c B 5
3 a C 2
4 b C 4
5 c C 6
References:
https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.melt.html
NEW QUESTION: 3
A company plans to use record templates in its implementation.
You need to set up and use record templates.
Which three actions should you perform in sequence to create the record templates? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
References:
https://docs.microsoft.com/en-us/dynamics365/unified-operations/dev-itpro/data-entities/tasks/create-record-template-facilitate-data-entry?toc=/fin-and-ops/toc.json
NEW QUESTION: 4
Which statement is an appropriate entry for the Initiation Stage Plan?
A. The initial project cost estimate of (GBP)2.5m, will have a tolerance of +(GBP)125k J(GBP)75k.
B. The Daily Log has been updated with the new risks which were identified while preparing the Initiation Stage Plan.
C. The project management team will consist of representatives from the IT and Facilities Divisions.
D. The plan is based on the external outsourcing consultants being available at the start of the initiation stage.
Answer: D