Question 1
Difficulty: medium
Can you walk me through how you would design and build a custom Salesforce solution for a sales team that needs to track complex deal stages and approvals?
Sample answer
I’d start by clarifying the business process end to end, because the best Salesforce solution usually comes from understanding how the team actually works, not just what fields they want. For a complex deal process, I’d first map the object model and identify whether standard objects like Opportunity can handle most of the need or whether a custom object is justified. Then I’d design the approval logic carefully, likely using approval processes for straightforward approvals and Flow for more dynamic routing or field-based branching. I’d also think about record types, validation rules, and page layouts so users only see what is relevant to them. From a development standpoint, I’d keep custom Apex minimal unless the logic truly requires it, because maintainability matters. I’d also build with reporting in mind so leadership can track deal health, bottlenecks, and approval turnaround times. Before deployment, I’d test with real user scenarios to make sure the solution is usable, not just technically correct.
Question 2
Difficulty: medium
How do you decide when to use Flow versus Apex in Salesforce development?
Sample answer
My general rule is to use the simplest tool that can reliably solve the problem. If the requirement can be handled with Flow, I usually prefer it because it’s easier to maintain, faster to adjust, and more transparent for admins and future developers. That said, I don’t force everything into Flow if the process is getting too complicated or if I need advanced logic, reusable code, or better control over performance. Apex is the better choice when I need to handle complex transactions, integrate with external systems in a precise way, process large volumes of records efficiently, or implement logic that Flow can’t express cleanly. I also consider governance and team skill set. If admins will own the process after release, Flow is often the better long-term answer. If the logic is business-critical and needs strong test coverage and code reuse, Apex makes more sense. I try to balance speed, maintainability, and scalability in every decision.
Question 3
Difficulty: medium
Describe a time when you had to troubleshoot a tricky Salesforce bug. How did you approach it?
Sample answer
When I troubleshoot a Salesforce bug, I try not to jump to conclusions. I start by reproducing the issue in a controlled way and confirming exactly which user, record type, and process path is involved. In one case, users reported that a field was updating inconsistently after record save. The issue turned out to be a mix of Flow, an Apex trigger, and a validation rule, so the problem wasn’t obvious at first. I checked debug logs, reviewed execution order, and tested the record under different profiles and permission sets. That helped me isolate the real cause: the flow was updating a field, but the trigger logic assumed a different state and then overwrote it. I fixed the logic to make the automation more predictable and added tests to cover the edge case. What I learned is that Salesforce issues often come from interactions between components, not just a single line of code, so a structured, patient approach saves time.
Question 4
Difficulty: hard
How do you ensure your Apex code is high quality and maintainable?
Sample answer
I write Apex with the assumption that someone else, including future me, will need to understand and modify it quickly. That means keeping classes focused, using clear naming, and avoiding oversized methods that try to do too much. I prefer a service-layer approach when logic starts growing, so trigger handlers, services, and selectors each have a clear responsibility. I also make sure bulkification is built in from the start, because in Salesforce that’s not optional. On the quality side, I write meaningful unit tests that cover positive paths, negative paths, and bulk behavior, not just the happy path. I also test for sharing and security implications, especially when code is touching sensitive data. Before merging, I review the code for governor limits, query efficiency, and readability. I’m a big believer that maintainability is a design choice, not something you add later. If the code is easy to reason about, it’s easier to support, scale, and safely deploy.
Question 5
Difficulty: hard
How would you handle a requirement where Salesforce needs to integrate with an external system in near real time?
Sample answer
For a near real-time integration, I’d first define the business need very clearly: what events trigger the sync, what data moves, what the latency expectation is, and what happens if the external system is unavailable. Once that’s clear, I’d choose the integration pattern based on reliability and complexity. If the external system can receive calls, I’d consider outbound callouts from Apex, Platform Events, or Change Data Capture depending on the architecture. If Salesforce needs to receive data, I’d look at REST APIs, middleware, or event-driven approaches. I’m careful about error handling, retries, and idempotency because real-time integrations fail in the real world. I’d also make sure logging is in place so support teams can see what happened without digging through code. Security matters too, so I’d use named credentials, proper authentication, and limit exposure of sensitive fields. In practice, the best integration is the one that’s reliable, observable, and simple enough to support after go-live.
Question 6
Difficulty: medium
Tell me about a time you had to work with admins, business users, and other developers to deliver a Salesforce project.
Sample answer
I’ve found that Salesforce projects succeed when communication is as strong as the technical work. On one project, the admins were focused on flexibility, business users wanted speed, and the development team was concerned about technical debt. I helped by breaking the requirement into parts: what could be handled with configuration, what needed Apex, and what should wait for phase two. I also worked with the business users to translate their process into user stories, which reduced a lot of confusion later. With the admins, I made sure they understood what parts of the solution they could own after release. With the developers, I pushed for a consistent approach to triggers, testing, and deployment so we didn’t create a maintenance problem. The key was listening first and then aligning everyone around the business outcome instead of debating tools. That approach kept the project moving and built trust across the team.
Question 7
Difficulty: hard
How do you handle Salesforce governor limits in your code?
Sample answer
Governor limits shape how I design Apex from the beginning. I don’t treat them as a final check; I treat them as a design constraint. The first thing I do is make sure code is bulkified, so it can handle many records in a single transaction without running queries or DML inside loops. I also reduce unnecessary work by querying only the fields I need and by using maps and sets to avoid repeated lookups. If I’m dealing with large data volumes, I think carefully about asynchronous options like Queueable, Batch Apex, or scheduled jobs. I also watch for recursion in triggers and overlapping automation, because those can create hidden limit issues. Testing with realistic record volumes is important, since code that works fine for one record can fall apart at scale. My goal is to build code that performs well under actual business usage, not just in a simple sandbox test. That keeps the solution stable and easier to support.
Question 8
Difficulty: hard
How would you improve an existing Salesforce org that has messy automation and duplicated logic?
Sample answer
I’d approach that situation carefully because messy automation usually means the org has grown quickly without a strong design standard. First, I’d inventory what’s currently running: Flows, triggers, validation rules, workflow remnants, Process Builder if any still exist, and any scheduled jobs or integrations. Then I’d identify where logic overlaps or conflicts, because duplicated logic is often what causes unpredictable behavior. I’d prioritize the highest-risk areas first, especially anything affecting revenue, data quality, or user experience. From there, I’d define a cleaner architecture, ideally with a clear separation between configuration and code, plus standards for naming, documentation, and ownership. I’d also look for quick wins like consolidating duplicate flows or moving repeated logic into reusable Apex services. Just as important, I’d involve admins and business users so the redesigned process still fits how people work. The goal is not just to simplify technically, but to make the org easier to change safely over time.
Question 9
Difficulty: medium
What steps do you take to secure sensitive data in Salesforce development?
Sample answer
Security is built into my approach from the start, not added as a final review step. I always think about who should see the data, who should edit it, and what happens when code or automation touches it. On the code side, I use with sharing or without sharing intentionally, and I’m careful to respect field-level security and object permissions when exposing or updating records. I also prefer named credentials and secure authentication patterns for integrations so secrets aren’t hardcoded anywhere. On the configuration side, I use profiles, permission sets, and permission set groups to keep access targeted and easier to manage. For sensitive automations, I make sure the solution doesn’t accidentally expose data through emails, screen flows, reports, or debug logs. I also review audit and logging needs so changes can be traced if something goes wrong. Good security in Salesforce is about layered controls and disciplined development, not just one setting or one code check.
Question 10
Difficulty: medium
If a business stakeholder asked for a feature that you knew would create technical debt, how would you respond?
Sample answer
I’d be honest, but I’d make sure I’m speaking in business terms rather than just technical warnings. I’d explain what the request would cost over time in maintenance, performance, testing effort, or future flexibility, and I’d describe the risks in plain language. Then I’d try to offer alternatives, because stakeholders usually care about solving a problem, not defending a specific implementation. For example, I might suggest a simpler first phase, a more scalable design, or a process change that achieves the same goal without creating a fragile solution. If the business still wants the faster option, I’d document the trade-offs clearly and make sure the team understands the long-term impact. I don’t think “no” is always the right answer. Sometimes the right answer is “yes, but here’s the smarter version,” or “yes now, but let’s plan a refactor later.” My goal is to protect the platform without blocking progress.
