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Salesforce Exam Nonprofit Cloud Consultant Topic 5 Question 108 Discussion

Actual exam question for Salesforce's Nonprofit Cloud Consultant exam
Question #: 108
Topic #: 5
[All Nonprofit Cloud Consultant Questions]

A consultant is planning to use Accounting Subledger and migrate 20 years of donation data into NPSP for a nonprofit that receives more than 200,000 donations each year.

Which two features should the consultant consider implementing to improve search performance?

Choose 2 answers

Show Suggested Answer Hide Answer
Suggested Answer: D

To predict the likelihood of a contact becoming a recurring donor, the consultant should implement Einstein for Nonprofits. Here's how:

Enable Einstein for Nonprofits:

Ensure that Einstein Analytics and Discovery are enabled in the Salesforce org.

Navigate to the Einstein for Nonprofits setup and configure the necessary settings.

Configure Prediction Models:

Use Einstein Prediction Builder to create a custom prediction model.

Define the criteria and data points that indicate a high likelihood of recurring donations, such as past donation behavior, engagement levels, and demographic information.

Train and Deploy the Model:

Train the prediction model using historical data.

Deploy the model to start predicting which contacts are likely to become recurring donors.

Utilize Predictions in Fundraising Strategies:

Fundraisers can use the predictions to prioritize outreach and engagement efforts.

Customize communication and engagement plans for high-potential recurring donors.

Einstein for Nonprofits leverages AI and machine learning to provide insights and predictive analytics, helping nonprofits make data-driven decisions to enhance donor engagement and fundraising efforts.


Salesforce Einstein for Nonprofits: Einstein for Nonprofits.

Salesforce Einstein Prediction Builder Guide: Prediction Builder.

Contribute your Thoughts:

Lorita
1 months ago
Ah, the classic 'which two features' question. I'm just waiting for the day they throw in a 'none of the above' option, just to see who's really paying attention.
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Shenika
1 months ago
Custom Index? Sounds like we're getting fancy with our database design. Let's just hope the consultant doesn't try to index every single field, or we'll end up with a table that's more index than actual data!
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Kaitlyn
1 months ago
SOSL, eh? I bet that stands for 'Seriously Overcompensating for Slow Lookups'. But hey, if it gets the job done, I'm game.
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Ahmad
4 days ago
B) Skinny Tables
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Sarah
13 days ago
A) Salesforce Object Search Language (SOSL)
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Colene
1 months ago
Ooh, Salesforce Optimizer, huh? Sounds like a magic wand to wave at our performance issues. I'm all for it, as long as it doesn't come with a hefty price tag.
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Jesse
1 months ago
B) Skinny Tables
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Miesha
1 months ago
A) Salesforce Object Search Language (SOSL)
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Francine
2 months ago
I also think Custom Index could be useful to improve search performance by creating indexes on fields that are frequently searched.
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Ilona
2 months ago
I agree with Hermila, Skinny Tables can help improve search performance by storing frequently accessed data in a separate table.
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Hillary
2 months ago
Hmm, Skinny Tables and Custom Index seem like the way to go here. Gotta keep that data lean and mean, you know? No need for all that bloat slowing things down.
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Melvin
17 days ago
D: Absolutely, those features will ensure that the search performance is optimized for handling the massive amount of donation data.
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Muriel
18 days ago
C: I think implementing both Skinny Tables and Custom Index is a smart move for handling such a large amount of donation data.
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Mitsue
19 days ago
B: Agreed, those features will definitely help keep the data efficient and improve search speed.
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Ligia
1 months ago
A: Definitely! Skinny Tables and Custom Index will help speed up the search performance by optimizing the data.
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Hermila
2 months ago
I think we should consider implementing Skinny Tables for better search performance.
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