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A customer has an existing PDI job that calls a transformation. They want to execute the transformation through Spark on their Hadoop cluster.
Which change must be made to satisfy this requirement?
Suggested Answer: B
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13 comments · newest first
TO
Toshia
10 months ago
Changing Logging options won't help here, that's for sure.
JA
Jacquline
10 months ago
Wait, can you really run transformations without changing the Parameters?
LO
Louvenia
10 months ago
I agree, B seems like the right choice!
RO
Rosendo
10 months ago
I'm surprised this isn't more straightforward!
EU
Eun
11 months ago
Definitely need to change the Run Configuration for Spark.
TE
Teri
11 months ago
I thought changing the arguments was important for different execution environments, but I can't recall if that's what we need to do here.
HA
Harrison
11 months ago
I’m leaning towards option B, but I’m a bit confused about whether logging options would also need to be changed for Spark execution.
EL
Elza
11 months ago
This question feels familiar; I think we practiced a similar one where we had to change parameters for a transformation.
PA
Paz
12 months ago
I remember something about needing to adjust the run configuration for Spark jobs, but I'm not entirely sure if that's the right choice here.
GE
Gertude
12 months ago
I'm leaning towards B as well. Changing the Run Configuration seems like the most logical way to switch the execution environment from the default to Spark on Hadoop.
TW
Twana
12 months ago
Okay, let's think this through step-by-step. The question says the customer wants to execute the transformation through Spark on their Hadoop cluster, so we need to find the option that would allow us to change the runtime environment.
GL
Glory
1 year ago
Hmm, I'm not sure about this one. I'll need to review the options carefully to make sure I understand the difference between the parameters, run configuration, logging options, and arguments.
BR
Broderick
1 year ago
I think the answer is B. We need to change the Run Configuration of the transformation to execute it through Spark on the Hadoop cluster.