IndusInd Bank Customer Service Associate Interview Questions and Answers

Q1. Tell me about your self
Ans. 
I am a dedicated and experienced professional with a strong background in project management and team leadership.
• Over 8 years of experience in project management

• Successfully led cross-functional teams to deliver projects on time and within budget

• Strong communication and interpersonal skills

• Proven track record of achieving targets and exceeding expectations
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Q2. Personal details
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It was nice test about the financial terms And Details

Q1. It was all about questions for Unix and SQL
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Q2. It was asked for the financial terms And concepts as well
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Q1. Question about big data and big query
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Q2. Question about pyspark
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Q1. Salary expectation & why you want to join db ?
Ans. 
I am looking for a competitive salary that reflects my experience and skills. I want to join db because of its reputation for innovation and growth opportunities.
• I am seeking a salary that aligns with my level of experience and expertise in the industry.

• I believe db offers a dynamic and innovative work environment that will allow me to grow and develop professionally.

• I am attracted to db's reputation as a leader in the...read more
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Q1. Read about what is coupling
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Q2. What are load balancing techniques
Ans. 
Load balancing techniques distribute incoming network traffic across multiple servers to ensure no single server is overwhelmed.
• Round Robin: Distributes requests evenly among servers in a circular manner.

• Least Connections: Sends requests to the server with the fewest active connections.

• IP Hash: Uses a hash of the client's IP address to determine which server to send the request to.

• Weighted Round Robin: Assigns a weight...read more
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Q3. Design a trading system
Ans. 
Design a trading system for buying and selling stocks
• Define the criteria for selecting stocks to buy/sell

• Implement risk management strategies to protect against losses

• Set up automated trading algorithms to execute trades based on predefined rules

• Monitor market trends and adjust trading strategies accordingly
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Q4. Optimise database read
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Q5. Design high volume data intensive applications
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Designing high volume data intensive applications involves optimizing data storage, retrieval, and processing for large amounts of data.
• Utilize distributed computing frameworks like Hadoop or Spark for processing large datasets

• Implement data partitioning and sharding to distribute data across multiple servers for scalability

• Use caching mechanisms to reduce latency in data retrieval

• Optimize database queries and indexes ...read more
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