Interview Debrief
Let me tell you about the interview process. First of all the interview will be in video mode.
There can be three people taking the interview. First Question as usual you may be asked to give your introduction. After that, they will ask you about the previous project, your role and responsibilities in it, and what work you have done.
They can ask some questions about the work you have done in the previous project and whatever you will explain. And will put up questions one after the other from the same.
After this, they might ask questions related to Agile and like which tool was used to do the work of Agile. How did you get the requirement? If there is any confusion in the requirement or if there is any conflict in the requirement, then what way you used to resolve it?
How many people were on your team? How was the testing done and whether you were involved in the testing or not, there can be a question about this.
After that, you can be asked scenario-based questions like if a customer complained that the applications are running slow, then how will you solve the problem of that application which is running slow, you will have to tell an approach or if you have done in the previous project in any way, then it has to be explained.
After this, you can ask any question related to the tools, etc. mentioned in your profile, for example, if you have written SonarQube in your profile, then they can ask what is SonarQube.
They can ask what did you do for code quality improvement and how did you do it. There can be such questions. Apart from this, what percentage has worked on which side like frontend and backend?
Apart from this, if any database has been used in the previous project application and if any DB-related problem comes. then how you resolved it?
They can ask such questions like, if you do not have access to production and there was an application running slow, how will you fix it? There can be a question of how to call the external API.
And in the last, they will share a Java code, in which I was given two entity classes named Employee and Manager, and using those entity classes, some calculation was done, in the calculation, the salary was calculated, the code they will explain it to you. then you will be asked to review the code. Based on your review comments, they will ask for an explanation.
Java and Angular Team Lead Interview
Let me tell you about the interview process. First of all the interview will be in video mode. There can be two or three people taking the interview. One person may be there from our end.
First Question as usual you may be asked to give your introduction. After that, they will ask you about the previous project, your role and responsibilities in it, what work you have done, and how long you did the work.
They can ask for some code build pipelines such as Jenkins etc. Next, they may ask IAC (Infrastructure as Code) Terraform, etc.
They can ask how to implement cashing in microservices and how to use Redis etc. then they ask how to handle exceptions when you have 100 endpoints. How to check vulnerabilities in your library and have you familiar with Nexus and maven etc.
Next, they might ask if have you worked on frontend technology like Angular. Spatially they focus on angular
In angular how do you implement login and how to check whether the user is logged in or not? What tools for testing you have used and how to optimize page load time and how to implement lazy loading and lazy API call etc?
Next, they may ask about any team lead experience you have what challenges you faced in your previous experience, etc.
If you don’t know angular how you lead the team and how to solve their problems if they have any problems
Introduction
My self [Your Name] working as a Senior Consultant. I have more than 12 years of experience in software development using Java, and SpringBoot, in the AWS cloud environment.
I am very comfortable in the Linux environment, DBMS, and Frontend Technologies.
In my previous project, I worked for [HF] in Migration and APEX Project. I was working to integrate an on-premises app into Vitech Velocity.
In which I have to read messages from IBM MQ apply some business logic and then send that message to AWS SQS.
And then use AWS code pipeline to build the code and then deploy the code using code deploy. after that aws step function process that SQS.
In the Auto Migration Project, we had to prepare 2 parallel development paths. The challenge was that there were some backend apps through which some data is generated.
And then it gets pushed through dev to QA, QA to STG, and then the production environment. This challenge is how the data of 2nd development environment can be produced.
To solve this, we created a shared sequence and a shared master table which we accessed through the DB link, and also created a trigger per table so that any data can be inserted/updated/deleted in the master table. It seemed as if it was there too.
Questions for Interviewr
- What would be the day-to-day responsibilities for this position?
- Can you talk about working culture and work/life balance?
What was your Role and responsibilities in the previous project.
As a developer in the previous project, my role was to design, code, and implement the software solutions based on the project requirements. I worked closely with the business analysts and stakeholders to understand the functional and technical specifications, and then translate them into reliable and efficient code.
Responsibilities:
- Collaborating with the development team to plan and execute the software development lifecycle.
- Writing clean, modular, and well-documented code using appropriate programming languages and frameworks.
- Participating in code reviews to ensure code quality, adherence to coding standards, and best practices.
- Integrating software components and third-party libraries as necessary.
- Debugging and troubleshooting issues to identify and implement effective solutions.
- Writing and maintaining technical documentation, such as system architecture, design documents, and user guides.
- Adapting to changing project requirements and timelines, and delivering high-quality code within the assigned deadlines.
- Collaborating with the quality assurance team to conduct testing and ensure the software meets functional and performance requirements.
- Staying updated with the latest industry trends, technologies, and programming languages to continuously improve skills and contribute innovative ideas to the team.
- Working closely with other team members, such as designers, project managers, and stakeholders, to ensure effective communication and alignment throughout the development process.
Overall, my role as a developer involved actively contributing to the project’s success by designing, coding, testing, and maintaining software solutions.
Any scenario where a customer complaint the slowness of the application, and how you find out to fix that issue
Identifying and Fixing Application Slowness Issue
Scenario: A customer has complained about the slowness of the application, indicating that it takes an unusually long time to perform certain operations. As a developer, it becomes crucial to investigate and address this performance issue. Here’s how I would approach it:
Gather Information: Start by collecting relevant details about the reported slowness. This can include specific actions or operations that are slow, the frequency of occurrence, and any error messages or warnings received.
Replicate the Issue: Attempt to reproduce the slowness on a development or test environment to gain firsthand experience with the problem. This helps in understanding the root cause and verifying the effectiveness of potential fixes.
Analyze the Code: Review the codebase related to the reported slow operations. Look for any inefficient algorithms, resource-intensive processes, or areas where improvements can be made. Profiling tools can help identify sections of code that consume excessive time or resources.
Optimize Queries and Database: Analyze the database queries used by the application. Ensure that appropriate indexes are in place, query optimization techniques are implemented, and unnecessary data fetching is minimized. Use database profiling tools to identify slow queries and optimize them if needed.
Optimize Network Communication: Evaluate network-related factors that could contribute to the slowness, such as high latency, inadequate bandwidth, or excessive network requests. Minimize unnecessary network round-trips and optimize data transfer protocols where applicable.
Improve Caching: Implement or enhance caching mechanisms to reduce the need for repetitive or expensive operations. Caching can help improve response times for frequently accessed data.
Review Third-Party Integrations: Examine any third-party integrations or external services used by the application. Ensure that the interactions with these services are efficient and consider alternatives if they are causing performance bottlenecks.
Performance Testing: Conduct performance testing on the application to simulate real-world usage scenarios and identify performance bottlenecks. This can involve load testing, stress testing, or scalability testing to assess the application’s behavior under different workloads.
Monitor and Measure: Implement monitoring and logging mechanisms to track performance metrics and collect relevant data during runtime. This helps in identifying patterns, trends, and potential causes of slowness.
Iterative Improvements: Implement optimizations and fixes based on the analysis and findings from the previous steps. Test each improvement and measure its impact on the application’s performance. Repeat this process until the desired level of performance is achieved.
Throughout the process, collaboration with other team members, such as database administrators, network specialists, or performance engineers, may be necessary to address specific areas of concern. It’s essential to communicate the progress and proposed solutions to the customer, keeping them informed about the steps taken to resolve the slowness issue.
How to check slow queries and how to fix
To check slow queries and optimize their performance, you can follow these steps:
Identify Slow Queries: Use database profiling tools or built-in query performance monitoring features to identify queries that are taking longer to execute. These tools can provide information about query execution times, resource consumption, and query plans.
Analyze Query Execution Plans: Examine the query execution plans generated by the database optimizer. The execution plan outlines the steps taken by the database to execute the query. Look for inefficiencies, such as table scans, lack of index usage, or excessive joins, which can impact query performance.
Add Indexes: If a query is not utilizing indexes effectively, consider adding or modifying indexes on the relevant tables. Indexes can significantly improve query performance by enabling the database to quickly locate and retrieve the required data.
Optimize Query Logic: Review the query’s logic and structure to ensure it is optimized. Look for opportunities to simplify complex queries, eliminate unnecessary joins or subqueries, and reduce the overall data retrieval or processing requirements.
Use Query Optimizer Hints: Depending on the database system being used, you may have the option to provide query optimizer hints. These hints guide the optimizer’s decision-making process, potentially leading to more efficient query execution plans.
Consider Query Rewriting: In some cases, rewriting the query using alternative syntax or restructuring the logic can lead to better performance. Experiment with different query formulations and compare their execution plans and performance.
Partitioning and Sharding: For large datasets, partitioning or sharding the data across multiple tables or database instances can distribute the query load and improve performance. This approach is particularly useful in scenarios where queries can be targeted to specific partitions or shards.
Cache Results: If the query results are relatively static and do not require real-time data, consider caching the results. Caching can reduce the need for executing the same query repeatedly, thereby improving performance.
Database Tuning: Evaluate and adjust database configuration parameters, such as memory allocation, query timeouts, buffer sizes, or parallel processing settings, to optimize overall database performance.
Testing and Monitoring: After implementing query optimizations, perform thorough testing to validate the improvements. Monitor query performance using appropriate tools or database profiling techniques to ensure that the changes have effectively addressed the slow query issue.
It’s important to note that the specific optimization techniques may vary depending on the database system and its capabilities. Additionally, it’s advisable to test optimizations in a non-production environment before applying them to the live system to ensure they do not have unintended consequences.
Which tools were you using to refine user stories
There are several tools commonly used by teams to refine user stories and manage the Agile development process. Here are some popular tools: I was using Agile Rally in my previous project
Agile Project Management Platforms: Tools like Jira, Trello, Azure DevOps, and Asana provide features for creating and managing user stories, tracking progress, assigning tasks, and facilitating collaboration among team members.
Collaborative Documentation Tools: Tools like Confluence, Google Docs, and Microsoft SharePoint enable teams to collaboratively create, review, and refine user stories. These tools support real-time collaboration, version control, and comment-based feedback.
Wireframing and Prototyping Tools: Tools such as Balsamiq, Sketch, Adobe XD, or Figma assist in creating wireframes, mockups, and interactive prototypes to visualize and refine user stories. These tools help in gathering feedback and validating the design before implementation.
Whiteboarding and Diagramming Tools: Online whiteboarding tools like Miro, Mural, or Microsoft Whiteboard allow teams to brainstorm, map user journeys, create flowcharts, and visually refine user stories collaboratively.
How to check and fix Java code issues if you don’t have access to the production server
If you don’t have direct access to the production server but need to check and fix Java code issues, you can follow these steps:
Collect Relevant Information: Gather as much information as possible about the reported issues. This can include error messages, stack traces, and descriptions of the problem’s symptoms. Request logs, screenshots, or any additional context from the users or individuals who reported the issues.
Replicate the Issue: Attempt to reproduce the issue in a controlled environment such as a development or testing environment. Set up a similar configuration and simulate the user actions or inputs that trigger the problem. This allows you to observe the issue firsthand and debug the code effectively.
Review the Code: Analyze the relevant sections of the Java codebase associated with the reported issues. Use an Integrated Development Environment (IDE) like IntelliJ IDEA, Eclipse, or NetBeans to navigate the codebase, search for specific classes or methods, and examine the logic and implementation details.
Debugging: Utilize the debugging capabilities of your IDE to step through the code and identify potential issues. Set breakpoints at critical points, inspect variable values, and track the flow of execution. This can help pinpoint the root cause of the problem and validate assumptions.
Logging and Error Handling: Review the logging statements and error handling mechanisms in the code. Ensure that the application logs relevant information, such as exceptions, error messages, and critical events. If necessary, add additional logging statements to capture specific information during runtime.
Code Reviews and Best Practices: Conduct a thorough code review to identify any code issues, such as inefficient algorithms, suboptimal data structures, or violation of best practices. Ensure adherence to coding standards, naming conventions, and design patterns. Address any identified issues by refactoring or rewriting the code as needed.
Unit Testing: Develop or update unit tests for the affected code. Write tests that cover the problematic scenarios and validate the expected behavior. By running these tests, you can verify the fixes and prevent regressions in the future.
Collaboration and Communication: Maintain open communication with the team members who have access to the production server. Share your findings, proposed fixes, and testing results with them. Collaborate to ensure that the fixes align with the production environment and any deployment procedures or restrictions in place.
Release and Deployment Process: Coordinate with the team responsible for deploying changes to the production server. Provide the necessary code changes, documentation, and instructions for deployment. Follow the organization’s established release management processes to ensure a smooth transition of the fixed code to the production environment.
How to find an issue in the application assuming the database and query are well optimized.
If the database and query optimization have been thoroughly addressed, and you’re still encountering issues in the application, there are several areas you can investigate to find the root cause. Here are some steps you can take:
Analyze Application Logs: Check the application logs for any error messages, warnings, or exceptions. Look for patterns or recurring issues that might indicate the source of the problem. Pay attention to any specific actions or scenarios that trigger the issue.
Monitor Performance Metrics: Utilize application monitoring tools to gather performance metrics such as response times, CPU usage, memory consumption, and network activity. Monitor these metrics during normal usage as well as when the issue occurs. Look for any anomalies or spikes that might correlate with the problem.
Review Code Logic: Analyze the codebase to identify any potential issues in the application’s logic. Look for areas where data processing, calculations, or algorithmic complexity might be causing performance bottlenecks or unexpected behavior. Review critical sections of code related to the reported problem.
Check External Integrations: If the application interacts with external services or APIs, investigate those integrations. Ensure that the communication with external systems is efficient and error-free. Review the configuration, credentials, and any API-specific issues that might affect the application’s behavior.
Identify Resource Contentions: Determine if there are any resource contentions within the application. Check for scenarios where multiple threads or processes are competing for shared resources such as database connections, file access, or system locks. Address any resource contention issues by optimizing resource usage or implementing appropriate synchronization mechanisms.
Perform Code Profiling: Use code profiling tools to identify performance bottlenecks within the application. Profilers can help pinpoint sections of code that consume excessive CPU time, memory, or I/O operations. Analyze the profiling results to prioritize areas for optimization.
Error Handling and Exception Handling: Review the error handling and exception handling mechanisms in the application. Ensure that exceptions are properly caught, logged, and handled without causing unexpected behavior or performance degradation. Validate that error messages and feedback provided to users are clear and actionable.
Conduct Systematic Testing: Develop test scenarios and conduct systematic testing to replicate the issue in a controlled environment. Use both manual and automated testing techniques to validate the application’s behavior and track down the specific conditions that trigger the problem. Create test cases that target the reported issue and explore different edge cases.
Collaborate with Users: Engage with the users who have encountered the issue to gather more information and gather insights. Understand their specific workflows, inputs, or conditions that led to the problem. Collaborative sessions, user interviews, or user feedback surveys can provide valuable insights.
Involve Cross-functional Teams: Collaborate with other relevant teams, such as infrastructure, networking, or security, to investigate potential underlying issues that might affect the application’s performance. Ensure that the infrastructure, servers, and network components are properly configured and optimized.
By following these steps, you can systematically investigate the application to identify the root cause of the issue. Collaboration with relevant team members, utilizing monitoring tools, and thorough testing can help uncover the source of the problem and guide you towards a solution.
How to resolve conflicit in the project requirenment
Resolving conflicts in project requirements requires effective communication, collaboration, and a structured approach. Here’s a step-by-step process to address conflicts:
Identify the Conflicts: Clearly identify and document the conflicting requirements. Analyze the specific areas where the conflicts arise and determine the scope and impact of each conflict. It’s important to have a comprehensive understanding of the conflicting requirements before proceeding.
Engage Stakeholders: Bring together the relevant stakeholders who are involved in the conflicting requirements. Schedule meetings or workshops to discuss and understand their perspectives, concerns, and underlying reasons for the conflicting requirements. Encourage open and constructive communication.
Analyze Dependencies and Constraints: Evaluate the dependencies and constraints associated with each conflicting requirement. Determine if any dependencies between the requirements can be resolved or if there are external constraints, such as budget limitations or technical constraints, that need to be considered.
Facilitate Discussions: Facilitate discussions among stakeholders to find common ground and areas of compromise. Encourage active listening and ensure that all stakeholders have an opportunity to express their views and concerns. Look for opportunities to align the requirements and seek consensus.
Prioritize Requirements: Evaluate the importance and urgency of each conflicting requirement. Collaboratively prioritize the requirements based on factors such as business value, customer impact, regulatory compliance, and technical feasibility. This helps in making informed decisions and resolving conflicts based on their relative significance.
Seek Expert Opinion: If needed, involve subject matter experts, domain specialists, or industry consultants to provide insights and guidance on resolving specific conflicts. Their expertise can contribute to finding innovative solutions or suggesting alternative approaches that address the conflicting requirements.
Explore Alternative Solutions: Brainstorm and explore alternative solutions that can potentially reconcile the conflicts. Consider creative options, compromises, or trade-offs that can satisfy multiple requirements. Look for win-win scenarios where conflicting requirements can be met without significant negative impacts.
Document Resolutions: Document the agreed-upon resolutions for each conflict. Clearly articulate the decisions made, including any compromises or trade-offs. Update the project documentation, such as the requirements document or user stories, to reflect the resolved conflicts accurately.
Review and Validate: Conduct a review of the resolved conflicts with the stakeholders involved to ensure that everyone is aligned and in agreement with the resolutions. Validate that the proposed solutions adequately address the concerns and expectations of all parties.
Monitor and Adapt: Continuously monitor the implementation of the resolved conflicts and their impact on the project. Stay open to feedback and be prepared to adapt if any unforeseen issues arise during the implementation phase. Regularly communicate progress and updates to stakeholders to maintain transparency and manage expectations.
Resolving conflicts in project requirements requires a collaborative and iterative approach. Effective communication, active listening, prioritization, and creative problem-solving are key to finding mutually agreeable solutions that balance the needs of all stakeholders involved.
Code Optimization
- Encapsulation and Access Modifiers: In the
EmployeeandManagerclasses, use appropriate access modifiers to encapsulate the class fields (id,name,department). By making these fields private and providing public getter and setter methods, you can control access to the fields and ensure data integrity. Here’s an optimized version:
1class Employee {
2 private int id;
3 private String name;
4
5 public int getId() {
6 return id;
7 }
8
9 public void setId(int id) {
10 this.id = id;
11 }
12
13 public String getName() {
14 return name;
15 }
16
17 public void setName(String name) {
18 this.name = name;
19 }
20}
21
22class Manager {
23 private int id;
24 private String name;
25 private String department;
26
27 public int getId() {
28 return id;
29 }
30
31 public void setId(int id) {
32 this.id = id;
33 }
34
35 public String getName() {
36 return name;
37 }
38
39 public void setName(String name) {
40 this.name = name;
41 }
42
43 public String getDepartment() {
44 return department;
45 }
46
47 public void setDepartment(String department) {
48 this.department = department;
49 }
50}
Code Formatting and Naming Conventions: Follow standard code formatting and naming conventions to enhance code readability. In the provided code, the keywords
privateandStringhave incorrect casing. Correct the casing and apply consistent indentation for better code presentation.Consider Adding Constructors: Depending on your requirements, you may want to add constructors to initialize the objects. Constructors can help ensure that the essential fields are properly initialized upon object creation.
1class Employee {
2 private int id;
3 private String name;
4
5 public Employee(int id, String name) {
6 this.id = id;
7 this.name = name;
8 }
9
10 // Getters and setters...
11}
12
13class Manager {
14 private int id;
15 private String name;
16 private String department;
17
18 public Manager(int id, String name, String department) {
19 this.id = id;
20 this.name = name;
21 this.department = department;
22 }
23
24 // Getters and setters...
25}