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NEW QUESTION: 1
The Apache server saves diagnostic information and error messages that it encounters while processing requests. The default path of this file is usr/local/apache/logs/error.log in Linux. Identify the Apache error log from the following logs.
A. 127.0.0.1 - - [10/Apr/2007:10:39:11 +0300] ] [error] "GET /apache_pb.gif HTTP/1.0" 200 2326
B. http://victim.com/scripts/..%c0%af../..%c0%af../..%c0%af../..%c0%af../..%c0%af../..%c0%af../..% c0%af../..%c0%af../winnt/system32/cmd.exe?/c+dir+C:\Winnt\system32\Logfiles\W3SVC1
C. 127.0.0.1 - frank [10/Oct/2000:13:55:36 -0700]"GET /apache_pb.gif HTTP/1.0" 200 2326
D. [Wed Oct 11 14:32:52 2000] [error] [client 127.0.0.1] client denied by server configuration:
/export/home/live/ap/htdocs/test
Answer: D

NEW QUESTION: 2
When considering risks, which describes an opportunity in a project?
A. An uncertain event that could have a favourable impact on objectives
B. An uncertain event that could have a negative impact on objectives
C. An event that has occurred resulting in a negative impact on objectives
D. An event that has occurred resulting in a favourable impact on objectives
Answer: A

NEW QUESTION: 3
You have a CSV file that contains user complaints. The file contains a column named Logged. Logged contains the date and time each compliant occurred. The data in Logged is in the following format: 2018-12-31 at 08:59.
You need to be able to analyze the complaints by the logged date and use a built-in date hierarchy.
D18912E1457D5D1DDCBD40AB3BF70D5D
What should you do?
A. Change the data type of the Logged column to Date.
B. Apply a transform to extract the last 11 characters of the Logged column and set the data type of the new column to Date.
C. Apply a transform to extract the first 11 characters of the Logged column.
D. Create a column by example that starts with 2018-12-31 and set the data type of the new column to Date.
Answer: C
Explanation:
With Power Query you can Split Date and Time into Separate Columns by using a transform.
Reference:
https://www.exceljetconsult.com.ng/home/blog/power-query-split-date-and-time-into-separate-columns/