Northern Trails Outfitters has a contact count of nearly 10 million records. They have noticed slower processing times when sending using Journey Builder.
Which two actions could they take to optimize Journey performance? (Choose 2 answers)
Creating a prefiltered, sendable copy of data extensions for each journey instead of using the same entry source might be the way to go. That could help reduce the load on Journey Builder.
Using Data Extension Entry Sources with Filters applied to perform segmentation activities for Journey Builder seems like a good option. That could help streamline the process and improve performance.
Okay, let's see. Performing large-scale segmentation in Automation Studio before admitting contacts into Journey Builder could help, but I'm not sure if that's the best approach here.
Hmm, this looks like a tricky one. I'm going to need to think through the options carefully to make sure I choose the right actions to optimize Journey performance.
Including data for decision splits in Attribute Groups in Contact Builder and using contact data rather than journey data could be an interesting approach. I'll need to look into that a bit more.
Hmm, I'm a bit unsure about this one. I know GDPR has specific requirements for data breaches, but I can't remember the exact steps. I'll have to think this through carefully.
Hmm, I'm a bit confused about the difference between a multicast address and a broadcast address. I'll need to think this through carefully before answering.
Haha, 10 million records? That's a lot of contacts to wrangle! I'd say B and D are the way to go - don't make Journey Builder do all the heavy lifting when you can offload it elsewhere.
Haha, 10 million records? That's a lot of contacts to wrangle! I'd say B and D are the way to go - don't make Journey Builder do all the heavy lifting when you can offload it elsewhere.
B and D are the obvious choices here. Anything to avoid clogging up Journey Builder with massive amounts of data. *whistles* I've seen some journeys get sluggish, let me tell you.
I'd go with B and D. Using Data Extension Entry Sources with Filters is a smart way to handle segmentation, and having a prefiltered copy of the data is just common sense.
A and D for sure. Doing the heavy lifting in Automation Studio and creating a dedicated data extension for each journey - that's the key to optimizing performance.
Hmm, I think B and D are the way to go. Segmentation upfront in Automation Studio and using a prefiltered sendable copy to keep the journey efficient. Less data crunching in Journey Builder, the better!
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