I feel like I saw a question about using the Dummy step in a similar context, but I can't recall if it actually joins flows or just passes data through.
I think the Dummy (do nothing) step is a bit of a trick answer. That's not really a way to join data flows - it's just a placeholder step. I'm confident B and D are the right choices.
The Append streams step is the way to go here. It's designed specifically for combining data flows. As long as the data types match up, you can use it even if the row layout isn't identical.
Hmm, I'm a bit confused on this one. I know we need to perform a union, but I'm not sure which steps to use. I'll have to review the material on joining data flows in PDI.
I'm pretty sure the correct answers are B and D. The row layout must be identical between the two steps, and the data types can be different as long as they're compatible.
I'm a bit confused on this one. I know the different components in a Splunk cluster, but I'm not sure which one is responsible for discovering new indexers. I'll need to think it through carefully.
Okay, let's see here. I think the key is to find a way to hide the false positives without compromising the overall security posture. I'll need to think through the implications of each choice.
B and D seem like the obvious choices to me. The row layout has to match, but the data types can be different as long as they're compatible. Easy peasy!
I think the correct answers are B and D. The row layout must be identical between the two steps, and the data types can be different as long as they are compatible.
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