ASDA Interview Questions and Answers

Q1. Can you tell me about yourself?
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Q2. How would you conduct a mock feedback session with a high-performing team member who doesn’t sit with his team leader neither with his team. Instead sits alone in a corner. When asked he tells that he don...read more
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Q3. What do you understand by the term Customer Relationship Management (CRM)?
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In the aptitude test we have mental ability, general knowledge, communication,etc

Q1. Self/family introduction
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Q2. Related to internship/ communication
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Q3. About Languages
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Q4. About Locations
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Q5. About MBA topics
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Q1. Basic questions
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Q1. In depth technical questions
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Q1. Mangerial round
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Q1. Director round from india
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Q1. Salary discussion
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Q1. Name and personal details
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Q2. Working experience and job natural
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Q3. Working Timing and hours
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Q4. Salary packages and years leaves
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Q5. Food and Stay details
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Q6. Over time duty hours
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Its amazing and proper working naturally

Q1. No questions not increment
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Q2. No Internet
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Not interested too code

Q1. Nothing to worry
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Q2. Be great
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Basic apti questions

Q1. What is javascript
Ans. 
JavaScript is a high-level, interpreted programming language used for creating interactive websites.
• JavaScript is commonly used for client-side web development.

• It can be used to create dynamic and interactive elements on web pages.

• JavaScript can also be used for server-side development with Node.js.

• Examples include form validation, interactive maps, and dynamic content loading.
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Q2. Why scss over css
Ans. 
SCSS offers more features and flexibility compared to CSS.
• SCSS allows for variables, nesting, and mixins which make code more organized and maintainable.

• SCSS supports mathematical operations, making it easier to create responsive designs.

• SCSS can be compiled into regular CSS, so it is compatible with existing workflows and tools.
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Q1. Technical discussion on site reliability engineering role for 3 rounds
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Q1. Technical discussion on devops roles
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Q2. Cloud technology
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Q1. Technical discussion for 3 rounds
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Q1. How do you summarize the data or aggregate data?
Ans. 
Data can be summarized by using statistical measures like mean, median, mode, and range.
• Use statistical measures like mean, median, mode, and range to summarize data.

• Aggregate data by grouping it based on certain criteria.

• Utilize visualization tools like charts and graphs to summarize and present data effectively.
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Q2. How would you present data to stakeholders?
Ans. 
I would present data to stakeholders in a clear and visually appealing manner to ensure understanding and engagement.
• Create visualizations such as charts, graphs, and tables to summarize key findings

• Use storytelling techniques to explain the data in a compelling way

• Provide context and insights to help stakeholders interpret the data accurately

• Tailor the presentation to the audience's level of expertise and interest

• Enco...read more
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Q3. Which metric would you choosebased on multiple scenarios?
Ans. 
I would choose the metric that aligns best with the specific goals and objectives of each scenario.
• Consider the specific goals and objectives of each scenario

• Choose a metric that directly measures progress towards those goals

• Ensure the metric is relevant, reliable, and actionable

• Examples: revenue growth for a sales scenario, customer satisfaction for a service scenario
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Q1. How would you analyse customer data?
Ans. 
I would analyze customer data by segmenting, profiling, and identifying patterns to understand behavior and preferences.
• Segment the data based on demographics, behavior, or purchase history

• Create customer profiles to understand their preferences and needs

• Identify patterns and trends in the data to make informed decisions

• Use data visualization tools to present findings clearly

• Utilize predictive analytics to forecast fut
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Q2. Explain some ways of customer profiling?
Ans. 
Customer profiling involves gathering and analyzing data to create detailed profiles of customers.
• Collecting demographic information such as age, gender, income, and location

• Analyzing purchasing behavior and preferences

• Segmenting customers based on their characteristics and behaviors

• Creating personas to represent different customer types

• Using data analytics tools to identify patterns and trends
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