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Salesforce Certified Platform Developer II (Plat-Dev-301) Exam - Topic 1 Question 84 Discussion

Actual exam question for Salesforce's Salesforce Certified Platform Developer II (Plat-Dev-301) exam
Question #: 84
Topic #: 1
[All Salesforce Certified Platform Developer II (Plat-Dev-301) Questions]

Consider the following code snippet:

The Apex method is executed in an environment with a large data volume count for Accounts, and the query is performing poorly.

Which technique should the developer implement to ensure the query performs optimally, while preserving the entire result set?

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Suggested Answer: B

by Elly at Feb 11, 2024, 06:29 PM

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Gayla
3 months ago
Definitely going with D, it's the most efficient way!
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Iraida
3 months ago
Surprised that people still suggest formula fields (Option A) for this!
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Lucina
3 months ago
@Future annotation (Option C) won't help with query performance.
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Malcolm
4 months ago
I think breaking it down (Option B) could work too.
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Nakita
4 months ago
Option D is the best choice for large data volumes!
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Shala
4 months ago
Combining fields with a formula sounds interesting, but I’m not convinced it would help with performance in this scenario.
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Andra
4 months ago
I feel like the @Future annotation is more about asynchronous processing, not really for optimizing queries directly.
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Ruby
4 months ago
I think using the Database queryLocator method could be a good option, especially for large data volumes. It might help with performance.
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Lavonna
5 months ago
I remember discussing the importance of optimizing queries, but I'm not sure if breaking it into two queries is the best approach here.
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Cordelia
5 months ago
I'm feeling pretty confident about this one. Using the Database.queryLocator method seems like the most straightforward way to handle the large data volume while still getting the complete result set.
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Adelina
5 months ago
Okay, I think I've got a strategy here. Breaking down the query into two separate queries and joining the results could be a good way to optimize the performance while preserving the full data set.
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Kenny
5 months ago
Hmm, I'm a bit unsure about this one. I'll need to review the code and the different techniques more closely to decide which one is the best fit.
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Dahlia
5 months ago
This looks like a tricky one. I'll need to carefully consider the options and think through the implications of each approach.
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Tawanna
5 months ago
This question seems straightforward - I think the key is to focus on the Outbound contact routing aspect and identify the relevant Orchestration Designer commands.
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Bettye
5 months ago
I think one similar practice question involved calculating effective rates with different balances. I'm leaning towards option A, but I need to double-check my calculations.
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Nidia
5 months ago
Hmm, I'm a little unsure about this one. The question mentions a capitation method, but I'm not totally clear on how that works. I'll need to review my notes on capitation before I can confidently solve this.
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Dorcas
5 months ago
Okay, I've got this. I just need to find the right method to use for the conversion.
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Mari
2 years ago
Exactly, Latrice. It's important to choose the option that is optimized for large volumes of data.
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Latrice
2 years ago
I agree with Mari. Using queryLocator method is specifically designed for retrieving large data volumes efficiently.
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Reyes
2 years ago
But wouldn't option A, creating a formula field and filtering based on it, also help improve performance?
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Mari
2 years ago
I believe option D, using the Database queryLocator method, would be the best choice here.
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Reyes
2 years ago
I think we should discuss how to optimize this query with the given options.
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Gladys
2 years ago
I personally think option B) could also work by breaking down the query into two parts and joining the result sets.
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Chantell
2 years ago
Haha, the @Future annotation in Option C? That's like trying to put a bandaid on a broken leg. Definitely not the way to go here.
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Nickie
2 years ago
I think breaking down the query into two individual queries and joining the result sets might be a better option.
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Reena
2 years ago
I agree, using @Future annotation won't solve the performance issue.
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Luann
2 years ago
I agree with Yen, combining fields with a formula field seems like a good approach to optimize the query.
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Gladys
2 years ago
Option B is interesting, but I'm not sure if the additional join operation would be faster than just using queryLocator. Hmm, tough choice.
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Kendra
2 years ago
I'm not a fan of the formula field idea in Option A. That seems like a hack and could get messy. I'd go with the queryLocator method.
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Micah
2 years ago
Great, Option D it is for optimizing the query performance.
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Lai
2 years ago
Let's go with Option D then, it's the most efficient solution.
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Kristian
2 years ago
Agreed, the queryLocator method is designed for that purpose.
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Nana
2 years ago
It's important to optimize the query for large data volumes.
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Sheridan
2 years ago
Using the queryLocator method is definitely the way to go.
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Rickie
2 years ago
I agree, Option D seems like the best choice here.
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Tamekia
2 years ago
I think Option A is too messy, I would go with Option D.
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Tien
2 years ago
Option D looks promising. Using queryLocator to retrieve the accounts seems like a good way to handle large data volumes.
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Joni
2 years ago
I disagree, I believe option D) would be more efficient using the Database queryLocator method.
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Yen
2 years ago
I think option A) would be the best choice, combining fields and filtering based on the formula.
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