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This Python program identifies the longest string from an array of strings, returning it efficiently.
Input Array: The program takes an array of strings as input, e.g., ['apple', 'banana', 'cherry', 'date'].
Finding Maximum: It uses the built-in max() function with the key parameter set to len to find the longest string.
Output: The program returns the longest string, e.g., 'banana' from the input array.
Edge Cases: I...
To find the shaded area in a Venn diagram of three tables, use SQL to identify unique and overlapping records.
Identify Unique Records: Use LEFT JOIN to find records in one table not present in the others.
Find Overlapping Records: Use INNER JOIN to get records that exist in all three tables.
Combine Results: Use UNION to combine unique and overlapping records to represent the shaded area.
Example Query: SELECT * FROM...
Optimize SQL queries for better performance and efficiency.
Use indexes on columns that are frequently queried or filtered. Example: CREATE INDEX idx_column ON table_name(column);
Avoid SELECT *, specify only the columns needed. Example: SELECT column1, column2 FROM table_name;
Use JOINs instead of subqueries when possible for better performance. Example: SELECT a.column1 FROM table_a a JOIN table_b b ON a.id = b.a_i...
I manage my work load by prioritizing tasks, setting deadlines, and utilizing time management techniques.
Prioritize tasks based on deadlines and importance
Break down large tasks into smaller, manageable steps
Utilize tools such as to-do lists, calendars, and project management software
Communicate with team members to delegate tasks and collaborate effectively
ETL pipeline on cloud involves extracting data from various sources, transforming it, and loading it into a cloud-based data warehouse.
Use cloud-based ETL tools like AWS Glue, Google Cloud Dataflow, or Azure Data Factory to extract, transform, and load data.
Design the pipeline to handle large volumes of data efficiently and securely.
Utilize serverless computing and auto-scaling capabilities of cloud platforms to o...
SQL queries can be crafted to manipulate and retrieve data based on specific logic requirements.
Use SELECT statements to retrieve data from tables. Example: SELECT * FROM employees;
Utilize WHERE clauses to filter results. Example: SELECT * FROM orders WHERE status = 'shipped';
Implement JOINs to combine data from multiple tables. Example: SELECT a.name, b.order_date FROM customers a JOIN orders b ON a.id = b.custom...
Yes, I am comfortable with rotational shifts.
I have previously worked in rotational shifts and have adapted well to the schedule.
I understand the importance of being flexible and available to work during different hours.
I am willing to adjust my personal schedule to accommodate the rotational shifts.
I believe that working in different shifts can provide a diverse work experience and help me develop new skills.
KYC stands for Know Your Customer. It is a process of verifying the identity of a customer before providing them with services.
KYC is a regulatory requirement in many industries, including banking, insurance, and telecommunications.
The process involves collecting and verifying customer information, such as name, address, and identification documents.
End-to-end KYC operations refer to the entire process, from initi...
KYC stands for Know Your Customer. It is a process of verifying the identity of a customer before providing services.
KYC is a regulatory requirement for financial institutions to prevent money laundering and terrorist financing.
It involves collecting and verifying customer information such as name, address, date of birth, and government-issued ID.
End-to-end KYC operations refer to the entire process from onboardin...
Data modelling techniques involve creating a visual representation of data relationships and structures.
Identifying entities and their relationships
Creating entity-relationship diagrams
Normalizing data to reduce redundancy
Using tools like ERwin, Visio, or Lucidchart
Implementing data models in databases
I applied via Naukri.com and was interviewed in Oct 2024. There were 2 interview rounds.
Asked questions on arrays
I appeared for an interview in Apr 2025, where I was asked the following questions.
To calculate TDI and MDI of a customer in SQL, you need to aggregate and analyze the customer's transaction data.
Calculate Total Daily Income (TDI) by summing up the income of the customer for each day.
Calculate Monthly Daily Income (MDI) by averaging the TDI for each day in a month.
Use SQL functions like SUM, AVG, and GROUP BY to perform the calculations.
Example: SELECT SUM(income) AS TDI, AVG(income) AS MDI FROM tran...
They asked about the sas,sql,and power bi
I appeared for an interview in Nov 2024, where I was asked the following questions.
To find the shaded area in a Venn diagram of three tables, use SQL to identify unique and overlapping records.
Identify Unique Records: Use LEFT JOIN to find records in one table not present in the others.
Find Overlapping Records: Use INNER JOIN to get records that exist in all three tables.
Combine Results: Use UNION to combine unique and overlapping records to represent the shaded area.
Example Query: SELECT * FROM Tabl...
Optimize SQL queries for better performance and efficiency.
Use indexes on columns that are frequently queried or filtered. Example: CREATE INDEX idx_column ON table_name(column);
Avoid SELECT *, specify only the columns needed. Example: SELECT column1, column2 FROM table_name;
Use JOINs instead of subqueries when possible for better performance. Example: SELECT a.column1 FROM table_a a JOIN table_b b ON a.id = b.a_id;
Lim...
This Python program identifies the longest string from an array of strings, returning it efficiently.
Input Array: The program takes an array of strings as input, e.g., ['apple', 'banana', 'cherry', 'date'].
Finding Maximum: It uses the built-in max() function with the key parameter set to len to find the longest string.
Output: The program returns the longest string, e.g., 'banana' from the input array.
Edge Cases: It han...
Hacker rank test - had to complete 2 python coding problems in an hour.
I am a dedicated Security Engineer with a strong background in network security and threat analysis.
Experienced in implementing and maintaining security measures to protect networks and systems
Skilled in conducting security assessments and identifying vulnerabilities
Proficient in incident response and forensic analysis
Familiar with security tools such as SIEM, IDS/IPS, and endpoint protection solutions
Developed a network security system for a large financial institution.
Implemented firewalls, intrusion detection systems, and encryption protocols to protect sensitive data
Conducted regular security audits and penetration testing to identify vulnerabilities
Collaborated with cross-functional teams to ensure compliance with industry regulations
Yes, I have experience dealing with conflicts in the workplace.
I have encountered conflicts related to project deadlines and resource allocation.
I have resolved conflicts by facilitating open communication and finding mutually beneficial solutions.
I have also utilized conflict resolution techniques such as active listening and compromise.
One example is when team members disagreed on the approach to a project, I organiz...
I applied via Naukri.com and was interviewed in Oct 2023. There were 2 interview rounds.
ETL pipeline on cloud involves extracting data from various sources, transforming it, and loading it into a cloud-based data warehouse.
Use cloud-based ETL tools like AWS Glue, Google Cloud Dataflow, or Azure Data Factory to extract, transform, and load data.
Design the pipeline to handle large volumes of data efficiently and securely.
Utilize serverless computing and auto-scaling capabilities of cloud platforms to optimi...
SQL queries can be crafted to manipulate and retrieve data based on specific logic requirements.
Use SELECT statements to retrieve data from tables. Example: SELECT * FROM employees;
Utilize WHERE clauses to filter results. Example: SELECT * FROM orders WHERE status = 'shipped';
Implement JOINs to combine data from multiple tables. Example: SELECT a.name, b.order_date FROM customers a JOIN orders b ON a.id = b.customer_id...
Data modelling techniques involve creating a visual representation of data relationships and structures.
Identifying entities and their relationships
Creating entity-relationship diagrams
Normalizing data to reduce redundancy
Using tools like ERwin, Visio, or Lucidchart
Implementing data models in databases
Data Warehouse implementation involves designing, building, and maintaining a centralized repository for storing and analyzing data.
Designing the data warehouse schema to meet business requirements
Extracting, transforming, and loading data from various sources into the warehouse
Implementing data quality processes to ensure accuracy and consistency
Creating data models and reports for analysis and decision-making
Optimizi...
I applied via Walk-in and was interviewed in Jul 2024. There was 1 interview round.
Iq questions for all and group discussion
I applied via Naukri.com and was interviewed before Jul 2023. There were 2 interview rounds.
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The duration of ANZ Operations & Technology interview process can vary, but typically it takes about less than 2 weeks to complete.
based on 23 interview experiences
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Wells Fargo
JPMorgan Chase & Co.
HSBC Group
Citicorp