Ernst & Young Interview Questions, Process, and Tips

Agile is a project management methodology focused on iterative development, SDLC is the software development life cycle, and user stories are short descriptions of a feature told from the perspective of the end user.

• Agile is a project management approach that emphasizes flexibility, collaboration, and customer feedback.

• SDLC is the process of planning, creating, testing, and deploying software applications.

• User stories ...read more

To create a new market in Vietnam for LC/BG, we can start by conducting market research, building relationships with local businesses and government agencies, and offering tailored financial solutions.

• Conduct market research to understand the needs and preferences of Vietnamese businesses

• Build relationships with local banks, businesses, and government agencies to establish credibility and trust

• Offer tailored financial ...read more

Acceptance criteria are conditions that a product must satisfy to be accepted by a user, customer, or stakeholder.

• Acceptance criteria are typically defined during the planning phase of a project.

• They are used to determine whether a product or feature is complete and functioning as expected.

• Acceptance criteria are often written in a specific format, such as 'Given X, when Y, then Z.'

• They help ensure that the product mee...read more

Power BI Services features include data visualization, interactive reports, dashboards, and data connectivity.

• Data visualization tools like charts, graphs, and maps

• Interactive reports for exploring data and gaining insights

• Dashboards for monitoring key metrics and KPIs

• Data connectivity to various sources like Excel, SQL databases, and cloud services

Seeking new challenges and growth opportunities in a different environment.

• Desire for career advancement

• Looking for new challenges

• Seeking a change in work environment

• Opportunity to learn and grow in a different setting

I have 3 years of experience working in the Data Analytic team where I analyzed large datasets to provide insights and recommendations.

• Performed data cleaning and preprocessing tasks to ensure data accuracy

• Utilized statistical analysis and machine learning techniques to extract valuable information

• Created data visualizations and reports to communicate findings to stakeholders

Data cleansing involves identifying and correcting errors in data to improve its quality. Ways to analyze data include using statistical methods, data visualization, and machine learning algorithms.

• Identify and remove duplicate records

• Standardize data formats and values

• Fill in missing values using imputation techniques

• Use data profiling to understand data quality issues

• Apply data validation rules to ensure accuracy

• Util...read more

I would deal with the overwhelming nature of working in a Big4 by prioritizing tasks, seeking support from colleagues, and practicing self-care.

• Prioritize tasks based on deadlines and importance to avoid feeling overwhelmed

• Seek support from colleagues or mentors to discuss challenges and brainstorm solutions

• Practice self-care activities such as exercise, meditation, or hobbies to manage stress and maintain work-life ba

Remove duplicates from an array of strings

• Iterate through the array and store each element in a Set to remove duplicates

• Convert the Set back to an array to get the final result