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Salesforce Certified Nonprofit Cloud Consultant (NP-Con-102) Exam - Topic 5 Question 108 Discussion

Actual exam question for Salesforce's Salesforce Certified Nonprofit Cloud Consultant (NP-Con-102) exam
Question #: 108
Topic #: 5
[All Salesforce Certified Nonprofit Cloud Consultant (NP-Con-102) 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.

by Salome at Jan 22, 2025, 07:03 AM

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Lashawnda
3 months ago
Can we really trust that these features will improve performance?
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Reita
3 months ago
Wait, 200,000 donations a year? That's wild!
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Demetra
3 months ago
SOSL is a solid choice, but not sure about Skinny Tables.
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Tiera
4 months ago
I think Skinny Tables could help too!
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Lucina
4 months ago
Definitely consider Custom Index for better search speed.
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Karma
4 months ago
I think Salesforce Optimizer is more about overall performance rather than specifically improving search, right?
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Hayley
4 months ago
I feel like SOSL was mentioned in a practice question, but I can't recall if it's the best choice here.
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Gail
4 months ago
I'm not entirely sure, but I think Custom Indexes might be useful for improving search speeds.
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Karon
5 months ago
I remember reading about Skinny Tables and how they can help with performance, especially for large datasets.
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Lizbeth
5 months ago
This is a tricky one. I'm not sure if Custom Index or Salesforce Optimizer would be better options than the ones suggested. I'll need to review the details of each feature to decide which two would be the most effective for this use case.
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Jani
5 months ago
Okay, I think I've got a strategy for this. Salesforce Object Search Language (SOSL) would be great for full-text searches across the donation data, and Skinny Tables could help improve performance by storing only the necessary fields. I'll make sure to explain my reasoning clearly in the exam.
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Alverta
5 months ago
Hmm, I'm a bit unsure about this one. I know Salesforce Object Search Language (SOSL) is used for full-text searches, but I'm not sure how that would apply here. And I'm not familiar with Skinny Tables - I'll have to look that one up.
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Peter
5 months ago
This seems like a straightforward question about improving search performance for a large donation dataset. I think I'll go with Salesforce Object Search Language (SOSL) and Skinny Tables, as those seem like the most relevant options.
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Lorita
9 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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Melissia
8 months ago
B) Skinny Tables
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Michal
8 months ago
A) Salesforce Object Search Language (SOSL)
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Shenika
10 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
10 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
9 months ago
B) Skinny Tables
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Sarah
9 months ago
A) Salesforce Object Search Language (SOSL)
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Colene
10 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
9 months ago
B) Skinny Tables
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Miesha
10 months ago
A) Salesforce Object Search Language (SOSL)
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Francine
11 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
11 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
11 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
9 months 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
9 months 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
9 months ago
B: Agreed, those features will definitely help keep the data efficient and improve search speed.
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Ligia
10 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
11 months ago
I think we should consider implementing Skinny Tables for better search performance.
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