You are running a Pentaho MapReduce (PMR) job that is facing on Hadoop. You review the YARN logs and determine that the mappers are generating out of memory errors.
Which action will resolve the mapper errors?
You are preparing a server environment for an archive installation of a Pentaho server
According to Hitachi Vantara best practices which environment variable should be set?
Set environment variables
If you do not set the HOME environment variables, Pentaho will not start correctly. Complete the steps in this topic to ensure that you have set the HOME environment variables properly.
Set the path of the PENTAHO_JAVA_HOME variable to the path of your Java installation, as shown:
SET PENTAHO_JAVA_HOME=C:\Program Files\Java\jdk8.x.x.x
(Optional) If you are using a JRE, then also set the JRE_HOME home environment variable.
Log off and log on again, then verify the variables have been properly set by using a command similar to the following example:
ECHO %PENTAHO_JAVA_HOME%
https://help.hitachivantara.com/Documentation/Pentaho/8.3/Setup/Prepare_your_Windows_environment_for_an_archive_install
The log files on a Pentaho server rotate daily and are getting too large. You want to change want logs to rotate hourly.
how do you adjust the log settings?
You need to load data from many CSV files into a database and you want to minimize the number of PDI jobs and transformations that need to be maintained.
In which two scenarios is Metadata injection the recommend option? (Choose two.)
Choose 2 answers
A customer needs to extract data from many afferent text He layouts with new file layouts being identified in the future and they want to insert the data into corresponding database tables. They are concerned about maintaining multiple PDI jobs and transformations given the large number of unique files.
What should you do to meet the requirements when creating transformations?
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