Barclays Interview Questions, Process, and Tips

Q1. Oops concepts and useless questions
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Q1. Application related
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Q1. Company related
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Q1. Salary expectation
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They had given 10 MCQs questions based on OOPs(Java), 2 MCQs on SQL, 1 SQL Query to run and 1 DSA question to code based on Strings, so overall 14 question. Difficulty level was easy to Medium.

Q1. Explain the time complexity of different sorting algorithms.
Ans. 
Sorting algorithms have different time complexities based on their implementation and efficiency.
• Bubble Sort: O(n^2) - compares adjacent elements and swaps them if they are in the wrong order.

• Merge Sort: O(n log n) - divides the array into two halves, sorts them, and then merges them.

• Quick Sort: O(n log n) - picks a pivot element and partitions the array around the pivot.

• Heap Sort: O(n log n) - builds a max heap and re...read more
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Q2. Usage of Hashmaps and Dictionaries
Ans. 
Hashmaps and dictionaries are data structures used to store key-value pairs for efficient retrieval and storage.
• Hashmaps and dictionaries are commonly used in programming to store and retrieve data based on a unique key.

• They offer fast lookup times, typically O(1) on average, making them ideal for scenarios where quick access to data is required.

• Examples of using hashmaps include storing user information with a unique ...read more
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Q3. Explain 4 pillars of OOPs (Abstraction, Encapsulation, Inheritance and polymorphism)
Ans. 
OOPs pillars are Abstraction, Encapsulation, Inheritance, and Polymorphism.
• Abstraction: Hides complex implementation details and only shows necessary features. Example: Car dashboard displaying speed without showing internal engine details.

• Encapsulation: Bundling data and methods that operate on the data into a single unit. Example: Class in Java encapsulates data members and member functions.

• Inheritance: Allows a new ...read more
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Q4. Explain JOINS(Inner join, LEFT Join etc)
Ans. 
JOINS are used in SQL to combine rows from two or more tables based on a related column between them.
• Inner Join: Returns rows when there is at least one match in both tables.

• LEFT Join: Returns all rows from the left table, and the matched rows from the right table.

• RIGHT Join: Returns all rows from the right table, and the matched rows from the left table.

• FULL Join: Returns rows when there is a match in one of the table
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Q5. Why Barclays? What do you think we do?
Ans. 
Barclays is a global financial services company with a focus on innovation and technology.
• Barclays is a leading global bank with a strong presence in the financial services industry.

• Barclays is known for its commitment to innovation and technology in the financial sector.

• Barclays offers a wide range of services including banking, investment management, and wealth management.

• Barclays has a strong reputation for providin...read more
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Q6. How do you manage stress and prepare yourself to work under tight deadlines? Can you describe a situation from the past where you faced a similar challenge and how you handled it?
Ans. 
I manage stress by prioritizing tasks, breaking them down into smaller steps, and seeking help when needed.
• Prioritize tasks based on deadlines and importance

• Break down tasks into smaller, manageable steps

• Seek help from team members or mentors when feeling overwhelmed

• Practice time management and set realistic goals
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Q7. Asked a few questions on the projects I mentioned in my resume.
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Q1. What is confidence interval of an estimator?
Ans. 
Confidence interval of an estimator is a range of values that is likely to contain the true value of the parameter being estimated.
• Confidence interval provides a range of values within which we are confident the true parameter value lies.

• It is calculated based on the sample data and the desired level of confidence.

• For example, a 95% confidence interval for the mean weight of a population would be a range of values with...read more
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Q2. How logistic regression works for multiple class classification?
Ans. 
Logistic regression works by calculating the probability of each class and assigning the observation to the class with the highest probability.
• Logistic regression calculates the probability of each class using the logistic function.

• The model then assigns the observation to the class with the highest probability.

• It is commonly used for binary classification, but can be extended to multiple classes using techniques like
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Q3. How do you deal with missing values in a data?
Ans. 
I handle missing values by identifying them, deciding on a strategy (imputation or deletion), and documenting the process.
• Identify missing values by checking for null values or using descriptive statistics.

• Decide on a strategy for handling missing values such as imputation (mean, median, mode) or deletion (row or column).

• Document the process of handling missing values to ensure transparency and reproducibility.
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Q1. Pyhon Questions with code analysis
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Q2. Project related questions and responsibility
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Q1. Scenario based questions to see the behaviour
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Q2. Achievement in the past
Ans. 
Led a team to increase sales by 20% in one year through strategic marketing campaigns
• Developed and implemented targeted marketing strategies

• Analyzed market trends and customer preferences to tailor campaigns

• Collaborated with sales team to align marketing efforts with sales goals
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Q1. Tell me about you experience as a data engineer
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Q2. In depth technical discussion about projects
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