Sai Krishna Rajaneedi

Yeah. Hi. Like, uh, myself, Sai Krishna. I'm a, uh, experienced at Sales force out of with a 4.6 years of experience. And coming to my skills, like, uh, my strengths lies in my ability to understand the complex systems and translate business requirements, uh, like, into technical solutions within the Salesforce platform. It is solid foundation of programming languages like Apex and proficiency in building custom solutions using Visualforce and lightning components. Like, I can create tailored applications that align with the, uh, specific needs of the organization. Uh, whatever, like, uh, my experience with the entity Salesforce, uh, with the other systems through APIs, uh, which enables seamless data flow and, uh, which enhances overall this efficiency. So I have a knack for problem solving, which is crucial in troubleshooting issues and optimizing processes to maximize performance. Furthermore, like my familiarity with Salesforce, uh, best practices such as government limits and, uh, security considerations, which ensures that, uh, solutions I develop are scalable, uh, maintainable, and secure. So and I try to collaborate to enrollments where I can work closely, uh, with the stakeholders to gather requirements, uh, like, which provides recommendations and, uh, deliver high quality solutions that uh, drive our business success. Uh, coming to the skills, like, I have a a well versed in this LWC or lightning auto components and lightning web components, uh, effects figures. And, um, coming to the, uh, admin part customization configuration, those are all the things I have done it. In my previous projects, I've worked on, uh, deployment part and, uh, development part. So using LWC components, I worked on it. And so I've used the many tools and so that's all, uh, that's all about me.

Like, uh, so approaches means there were, uh, many approaches like efficient SQL queries, like, which minimizes the number of SQL queries and ensure that, uh, they are selective. And our using queries within loops and use index of fields to improve query performance. And the second would be view state management, uh, which reduce the size of the view state of marking unnecessary variables as transient and, uh, minimizing the use of large collections or objects. Also, use this, uh, pagination to handle large datasets efficiently. And the third one is Apex controller optimization. Like, uh, this optimize Apex controller logic by reducing, uh, computational complexity, avoiding unnecessary processing, and, uh, like, you're using the efficient data structures. And the full like, the 4th one would be the, uh, static resources, like, uh, which store the, uh, store and the reference images, JavaScript, CSS, and other resources as static resources to reduce space and, uh, what should I say, the space load time and bandwidth uses. So and the other one is asynchronous processing. So, uh, we use asynchronous processing, uh, synchronous epics, like example, future methods, batch effects for long running processes to avoid, uh, blocking the main thread and improving a pace responsiveness. And, uh, the one was would be the component reusability. So leverage reusable components to reduce redundancy and improve maintainability, which can lead to a better performance through optimized code reuse. And the other would be JavaScript, uh, remoting and the action function. So we use JavaScript remoting or this epic action function to call server side logic from that client set without refreshing the entire base, uh, which improving user performance and minimal use check. So we use read only view mode when data does not need to be updated, which significantly reduces the view state size, and we can use this optimized rendering. Uh, conditionally, render components and data only when needed using render, uh, like attributes to reduce unnecessary processing and render. And the last, uh, would be the caching. So implement caching strategies for frequently accessed data to minimize database hits and improve load times. So by including by implementing these strategies, the performance of visual post pages can be significantly improved, uh, leading to a better user experience and more efficient use of, uh, resources.

So to utilize batch effects, uh, so to utilize batch effects for performing calculations, like, uh, so first, we define the batch effects class. Like, we create a batch of x class that implements the database batchable and interface. This involves defining methods for start, execute, and finish. Like and the second would be the query the records. In the start method, like, uh, we write a query to retrieve the records from multiple objects, we use a database dot query locator. So to handle large database, uh, like the datasets efficiently. And the third one would be the process records in batches. So in the execute method, uh, we perform the necessary calculations on the records, and this method processes records in batches, so making it scalable for large volumes of data. And the other one would be the handle multiple objects. Like, if you are, uh, like, calculations need to span multiple objects, uh, like, consider querying each object separately within the execute method or, uh, user relationships such as a parent child, uh, to fetch related records in a single query. And the last one, like, batch effects class example, uh, so there is a JavaScript. We can use it. And, like, we we can handling limits and optimizations. Like, if we ensure your queries, like, uh, based on our requirements, uh, are selective and in that set to avoid hitting government limits. So we use database dot, uh, stateful. If you need to maintain, um, that state between batch executions such as, uh, cumulative totals and which implements other handling within the execute method to handle, uh, and, uh, log any issues. So by following these steps, like, uh, you can effectively utilize batch effects, uh, to perform complex calculations. So on a large datasets to like, across multiple Salesforce objects. That's it.

So, like, uh, incorporating incorporating the other handling, like, so so we use the lighting web components, which ensures that, uh, the application can gracefully handle exceptions and provide users with meaningful feedback. Like, uh, we can discuss some strategies. We use a try catch blocks in JavaScript. So when we wrap potentially code in a try catch blocks to handle exceptions and prevent the, like, application from crashing, And the other method would be the error handling in Apex calls. So while calling Apex methods, uh, this handles errors using try catch, like, uh, in epics and by checking for errors in the JavaScript, like, which promise and return to or return by the wire or or enable methods. And, uh, we can use this, uh, lightning messages for error notifications, like lightning flash platform show to us TV so to display other messages to users. And we can use the handle errors in wire adapter. So we use a a wire decorative, so which decorators error handling this mechanism to catch errors when using wire adapters. And other one would be, like, a validation error error handling in forms. So if we validate form, uh, like, uh, that inputs and handlers before submitting data to the server. And so, like, we can use this centralized error handling, like, uh, considering a utility module for error handling to maintain consistency across the application. So we can use these methods. So, uh, effectively, we can manage errors in lighting web components, which ensuring a robust and user friendly application. That's all about, uh, this, uh, incorporate error handling into your LWC. This is my view on it.

So how would you convey the uses of sharing rules, mails? Nontechnical team member. Let it be after some new working, like, um, 1st, understanding sharing rules in Salesforce. Like, what are sharing rules? So the sharing rules I will explain to the team, like, uh, sharing rules are like special permissions that allow certain peoples or groups to see or edit records that they, like, wouldn't, uh, normally have access to. I think, uh, of it as adding exceptions to the basic privacy privacy settings. And, uh, why they are important, I will tell them. Like, imagine how Salesforce data is a giant filling cabinet. So each team or person has their own drawer, and they can see and work with the files in their drawer. But sometimes we need to share a specific files with other teams or individuals who don't have access to that drawer. So sharing rules let us do the safety and efficiently. So I can discuss with the real life example. Like, let's say, we have a a sales team and a support team. So normally, the salespeople, uh, can see sales opportunities, and the support staff can see support cases. However, sometimes a salesperson uh, needs to see a support case to understand a customer's issue better so they can create a sharing rule to give the sales team access to those support cases. So without giving them access, uh, like, they can't see the they can't access in the that, uh, support team's trial. So how do sharing rules work? Uh, we'll explain them, like, criteria based sharing rules and owner based sharing rules. Criteria based means these rules share records based on certain conditions. For example, all support cases related to a specific product can be shared with the sales team. Okay? So the owner based sharing rules would be like, uh, this rule share records owned by specific people or groups. So for instance, like, all cases owned by the support manager can be visible to the sales manager. So in this, we need to, uh, remember the key points like controlled access, flexibility, and security. So why we are using this sharing rules means, uh, sharing rules ensure the right people have the right information at the right time. So which improves the collaboration and efficiency across teams without, uh, compromising overall data security. So these are the, uh, like, uh, the method of the way I will follow.

What considerations might be taken to these mails? It's one for space to, Like, So it involves several key considerations, like, uh, to ensure a smooth transition and maintain functionality. Here are the main, like, accepts, like functional party and user interface and this data handling and even handling the state management, security and performance optimization, testing and debugging, uh, deprecation of visual post components, migration strategy, and documentation and training. So these are the, uh, like, uh, considerations. So when it comes to this functional parity, like, uh, identifying this core functionality. So which ensures all features of the visual for space are replicated in the LWC. This includes from, uh, like, this includes, uh, form elements, data handling, and user interactions. And when it comes to component mapping, so map Visualforce components to equal LWC components. Uh, like, for example, if we dot epics I mean, epics, our input text maps to lightning dot lightning hash input, uh, lightning hyphen input in the LWC. So when it comes to user interface, uh, we'll use lightning design system. Uh, use the Salesforce lightning design system to, uh, ensure your LWC aligns with Salesforce lightning experience, uh, design principles. So when it comes to responsive design, uh, which ensures the new LWC is responsive and works well on, uh, different devices and screen sizes. And when it comes to data handling in that, it's Apex controllers and the wire service and Apex matters. So when it comes to Apex controllers, if the visual workspace, uh, relies on Apex controller, which ensures the logic is reusable or adapted for the for the use of LWC and even handling. So in that, we use custom events and parental communication. When it comes to state management, we use track and reactive properties, use track and, uh, API decorators to manage state and reactivity, LWC. Uh, When it comes to security, we review security and local service, like, which in security review, which ensures the new LWC compliance with sales for security best practices. This includes proper handling of user inputs, uh, avoiding SOQL injection, and, uh, ensuring field level security and the CRUDER enforced. And performance optimization in that, we we specifically we specifically, uh, like, focuses on efficient data loading and minimize our work calls. And in testing and labeling, we use unit testing and user acceptance testing and, uh, depreciation sorry, duplication of visual first components in that we use unsupported components, like identify any visual for specific components or tags that don't have direct equivalency in LWC. And migration strategy and documentation and training, uh, these are the things we use.

And below is a code snippet. Why the trigger might not be having as expected? So I'm not getting the technique. So we use so we use a code. There is a code snippet that is meant to update the contract record. Okay. And so accounts custom field. So then there would be a change. So the solution and Why that we can might not be having as expected, uh, and probably this condition. Issues like so, uh, this trigger is designed to update contract records when an accounts custom field custom status changes. However, it might not be having, uh, like, behaving as expected for a few reasons. So let's analyze the potential issues, like issues in the trigger code, like context not being queried. The account or context reference assumes that the context relationship is automatically available in the trigger context, uh, which is not the case. So you need to explicitly query the related contact records. So field name case sensitivity. So the field names in Salesforce are case sensitive, so which ensure that a custom, uh, underscore status, underscore underscore c, is incorrectly, sorry, is correctly referenced throughout the core efficiency. So that could be more like, made more efficient by reducing the number of SQL queries and using bulk operations. So, uh, bulk of bulk processing best practices. So, uh, we can correct the code as identifying status change that trigger first close to the trigger. New. At least 2, identify which accounts have their custom status, field change. So it compares the new values with the old values stored in trigger old web. So querying related contents, if there are any according to the status changes, it queries related contents using a single SQL query. So this is more efficient and ensures that the necessary data is available and updating contacts. So for each contact retrieved, it updates the custom status, that we with the new value from the related account and performing the update. So that recur then performs a single update that is a DML operation to update all the affected contacts adhering to the best practices for bulk processing. So by addressing the issues and optimizing the code, that trigger should now work as, uh, expected updating the custom status field on related contacts when custom status field on account changes. So this is the answer and explanation.

Morning. Apex ticket, uh, identified by a developer might be and I can expect this. Right. That might be encountering this counter limits when querying large data assets due to the following reasons. Like, I spoke here query limit. Uh, query select ID, comma name, like, select ID, name from contacts, like, from account. So may return a large number of records, like, potentially, like, exceeding the total number of rows that can be retrieved by SQL queries, like, 50,000 rows. So heap size limit, the combined size of the query data, uh, like, accounts and related context might be exceeding the heap size limit and the time complexity. So the complex logic inside the loop, uh, can cause the script execution, uh, script execution this time limit to be exceeded if there are many accounts and context. So what are the optimizations to prevent hitting the owner limit? So we use SOQL for loop. Using the SOQL for loop allows Salesforce to handle large datasets more efficiently as it processes records in batches rather than loading all records into memory at once. And we avoid nested queries in SOQL, like avoid using, uh, nested queries, which can lead to higher memory users and, uh, slower performance. Instead, we use separate, uh, queries to handle large database and batch processing with pagination. Uh, uh, implement batch processing with pagination using the limit and offset keywords, uh, to he to handle these large datasets in manageable chunks. And so the optimization which I've done so I can't, uh, write the code, but I can explain the optimization code. Like, we use s o q for loop. The, like, the full list account, account batch, the select ID name. We select the name from account, which loop processes these accounts in manageable batches, reducing the risk of hitting the SOQL query limit or heap size limit. And we separate queries, like the related contents are retrieved using a separate query, which is run for each batch of accounts. So this approach ensures that we only handle a subset of the data at any given time. And, uh, uh, we are efficient in data handling, like, by storing account IDs in a set and querying context using these IDs, we efficiently link context back to their respective accounts within each data. So this approach still minimizes the risk of hitting down the limits by breaking down the data processing into smaller and more manageable parts and ensures that the logic inside the loop can execute efficiently without, uh, exceeding Salesforce limits.

So what approach? Like, uh, so that would be, like, understanding requirements in the API documentation, like, understanding business requirements, uh, like, clarifying the goals of the integration and the specific data that needs to be synchronized and API documentation. Like, we'll study the 3rd party API documentation to understand, uh, endpoints, uh, like, uh, authentication methods, uh, rate limits, uh, data formats, and any specific requirements. And second comes to authentication, like, uh, authentication 2.0 with, uh, API uses or 2.0 configures and authentication flow in Salesforce to obtain and refresh access tokens. And, uh, coming to the API key, so application program interface key. If the application program interface use API keys, securely stores the key in a Salesforce, uh, using named credentials or custom settings. And when it comes to setting up named credentials like, named credentials, we use, uh, uh, like, simplify, uh, like, authentication and avoid hard coding credentials, and we use this Apex HTTP columns. HTTP callouts use Apex HTTP request and HTTP response, like, Clatter's 2 interact with the third party API. And we should do Apex for periodic schedule Apex for periodic synchronization. Uh, schedule Apex user, uh, Apex class, uh, to run the synchronization process periodically. An example, every hour a day. And when it comes to the real time integration with platform events, so if, uh, real time integrations is required, we use platform events. The 3rd party system can publish events to Salesforce, triggering processing as an event item. So which which can be, uh, optional. And we can, uh, say this error handling and login. So in this, we implement robust error handling to manage API errors and retrain logic if needed. So logging or use custom objects or Salesforce built in, uh, logging mechanisms, so mechanisms to log successful and failed API interactions. So we use this here, the data transformational storage. Uh, here we use data mapping. So map the 3rd party data to Salesforce objects and fields, and we transform data as needed to fit Salesforce data model. And we here use upsert operations. We use upsert to handle both inserts and upsert, uh, updates. So which ensures that records are synchronized correctly with the without the duplicate. And we use governor limits and best practices. So here, the bulk processing, which ensures callouts and data processing are bulkified to handle large datasets efficiently and asynchronous processing. Uh, batch effects or pure effects for long running or large volume processing to avoid hitting the owner limits. And testing and validation, we use the test covers like we write the comprehensive test classes to cover different scenarios, including successful API responses and error handling. Uh, by how I think so these are the steps. By following these steps, we can effectively integrate

I'm considering the English tech industry, so we'll see. So considering the industry industry, how would you be able to improve social interest? Like, uh, we can use this customizable CRM. We utilize the Salesforce's customizable CRM platform to tailor client profile. Like, we used to track interactions and manage property details according to the specific needs. And, uh, we can like, 360 degree view of clients that we use Salesforce, uh, comprehensive client profiles to centralize information such as property preferences, transactional history, communication logs, and feedback, uh, providing agents with a holistic view of each client and, uh, the automated communication, like implement implementing automated email campaigns, reminders, and follow ups to maintain regular communication with clients and, uh, keeping them engaged throughout, uh, buying or selling process. And we can use the lead management like a streamline lead capture and qualification processes with the Salesforce lead management tools, ensuring the potential clients are effectively identified, prioritized, and assigned to the appropriate agents and, uh, task and calendar manage management. So when you utilize Salesforce task and calendar features to schedule property viewings, appointments, and follow-up tasks, ensuring that agents stay organized and responsive to clients' needs and mobile accessibility. So we can take advantage of studio Salesforce mobile app, like mobile app to access client information, uh, communicate with clients on the go and manage the tasks and appointments from anywhere, enhancing agent productivity and the responsiveness. And the last, like, analytics and reporting. So leverage, uh, Salesforce analytics and reporting capabilities to track key performance metrics, like analyze client, uh, engagement patterns and identify areas for improvement in client relationship management strategies. So by these features, effectively, real estate professionals, uh, can enhance, uh, client satisfaction and streamline workflows and, uh, ultimately, drive this business growth in the competitive real estate industry.

How would you optimize sales for Triggers to. So this would be, like, uh, I can't do the rating. So to optimize Salesforce records, I think. We can use this bulkification. These are the best practices like bulk bulkification, like, to ensure the triggers are designed to handle, uh, bulk operations efficiently by writing a code that can process, uh, multiple records simultaneously. So this helps which avoid hitting down the limits and improves, uh, performance and, uh, selective triggering. So we use, uh, trigger logic to determine whether the trigger should execute based on specific criteria or such as records, type, recommend record types, and field values or user permissions. This reduces unnecessary trigger executions and, uh, conserves the resources. So and asynchronous processing. So for complex operations or large datasets, uh, consider implementing asynchronous processing using Apex Queueable or batch Apex to handle bulk operations, like, preventing long running transactions and improving system responsiveness. And discover cloud limits management, which is my thing, like, monitor and manage governor limits such as CPU time, heap size, and the DMS statements to ensure that triggers remain within the acceptable limits like during bulk operations and implement error handling and the logging mechanisms to avoid and address any limited exceptions and, uh, to be the bulk testing. So perform thorough testing using, like, bulk datasets to simulate the real world scenarios and ensures that, uh, triggers can handle large volumes of data without encountering issues. So use Salesforce Apex test execution, uh, like features to execute the bulk test and validate trigger behavior under various conditions and this code optimization. So we can review the trigger code regularly to identify opportunities for optimization, such as reducing unnecessary queries, minimizing database operations, and optimizing loop structures. I consider refactoring complex logic into separate methods or helper classes to improve the code maintainability and renewability. And the final, like, monitor performance. Like, we have to monitor trigger performance using the Salesforce developer console. Our third party monitoring tools or, uh, like, to identify bottlenecks or areas for improvement. So analyze execution times, CPU usage, and the database query, uh, which performs to identify the potential optimization. So these best practices we can implement so so you can optimize Salesforce. Take us to handle bulk operations efficiently in a, uh, property management workflows, so it ensures the scalability and performance and, uh, reliability. That's it.