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Salesforce Exam Salesforce Loyalty Management Topic 1 Question 18 Discussion

Actual exam question for Salesforce's Salesforce Loyalty Management exam
Question #: 18
Topic #: 1
[All Salesforce Loyalty Management Questions]

Using extensive Data Processing Engine jobs to modify Salesforce data at scale,

which two limits should be monitored?

Show Suggested Answer Hide Answer
Suggested Answer: A, C

When using extensive Data Processing Engine (DPE) jobs to modify Salesforce data at scale, the two limits that should be monitored are:

Option A 'Record Storage Limits,' as extensive data processing and modification can significantly impact the volume of data stored in Salesforce, potentially reaching storage capacity limits.

Option C 'Data Pipeline Limits,' since DPE jobs involve data processing tasks that may be constrained by the limits of Salesforce's data processing capabilities and resources.


by Rory at Mar 20, 2024, 05:50 PM

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Malcolm
11 months ago
I believe both Record Storage Limits and Apex Governor Limits are important to keep an eye on. They can impact the performance of our jobs.
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Sabina
11 months ago
B) and D) for sure. Salesforce limits are like the Easter Bunny - you can never quite catch them.
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Winifred
11 months ago
Ah, the joys of Salesforce data processing. B) and D) are the clear winners here. Don't forget to bring your crystal ball to predict those governor limits!
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Maddie
10 months ago
It's always a good idea to monitor B) Batch Limit in Bulk Api and D) Apex Governor Limits to avoid hitting any unexpected roadblocks.
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Benton
10 months ago
Absolutely, those two limits can make or break your data processing jobs in Salesforce.
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Laticia
10 months ago
I agree, keeping an eye on B) Batch Limit in Bulk Api and D) Apex Governor Limits is crucial for successful data processing.
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Dean
11 months ago
B) and D) are the way to go. Gotta keep an eye on those limits or you're in for a bad time.
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Jennifer
10 months ago
Definitely, monitoring Batch Limit in Bulk Api and Apex Governor Limits is crucial for successful data processing.
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Annabelle
10 months ago
B) and D) are the way to go. Gotta keep an eye on those limits or you're in for a bad time.
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Miesha
10 months ago
Definitely, monitoring Batch Limit in Bulk Api and Apex Governor Limits is crucial for data processing jobs.
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Rosina
10 months ago
B) and D) are the way to go. Gotta keep an eye on those limits or you're in for a bad time.
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Rosio
11 months ago
I think monitoring Apex Governor Limits is also crucial. We need to ensure we stay within the limits to avoid any errors.
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Pansy
11 months ago
I agree with We don't want to exceed storage limits and cause issues with our data.
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Kip
11 months ago
I think we should monitor Record Storage Limits when using extensive Data Processing Engine jobs.
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Shawnna
11 months ago
Yes, Data Pipeline Limits are crucial to ensure smooth data flow and prevent any bottlenecks.
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Ciara
12 months ago
Isn't it also important to monitor Data Pipeline Limits for efficient data processing?
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Dorothy
12 months ago
I'd go with B) and D) too. Apex governor limits are the bane of my existence.
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Mabelle
11 months ago
Yeah, it's important to keep an eye on both batch limits and governor limits.
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Chun
11 months ago
I agree, those governor limits always trip me up.
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Solange
12 months ago
Definitely B) and D) - can't forget those pesky Bulk API and Apex limits!
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Johnna
11 months ago
D) Apex Governor Limits
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Michell
11 months ago
B) Batch Limit in Bulk Api
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Stevie
12 months ago
I agree, those are critical limits to keep an eye on when processing data in Salesforce.
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Portia
1 years ago
I think we should monitor Apex Governor Limits and Batch Limit in Bulk Api.
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