3G Network Solutions Interview Questions and Answers

Router and filter transformations are used in Informatica for data filtering, but they have different functionalities.

• Router transformation is used to route data based on specified conditions to multiple output groups.

• Filter transformation is used to filter rows based on specified conditions and pass only the matching rows to the output.

• Router transformation can have multiple output groups, each with its own condition.

• ...read more

Duplicates in mappings can be handled using various techniques in Informatica.

• Use the Sorter transformation to sort the data and then use the Aggregator transformation to eliminate duplicates.

• Use the Expression transformation with the DISTINCT keyword to remove duplicates.

• Use the Rank transformation to rank the data and then filter out the duplicates based on the rank.

• Use the Lookup transformation to check for duplicat...read more

To select the last 10 lines from a file in Informatica mapping, use the Source Qualifier transformation with a SQL override.

• Add a Source Qualifier transformation to the mapping.

• In the Source Qualifier transformation, specify the file as the source and set the appropriate file properties.

• Write a SQL override in the Source Qualifier transformation to select the last 10 lines from the file.

• Use the ROWNUM pseudocolumn or t...read more

Lookups in Informatica are used to retrieve data from a reference table based on a matching condition.

• Lookups are used to perform data transformations and enrich the data in a mapping.

• There are three types of lookups in Informatica: Connected, Unconnected, and Static.

• Connected lookup returns multiple rows and can be used in any transformation.

• Unconnected lookup returns a single value and is used in expressions or trans...read more

I have extensive experience in performance optimization of Informatica workflows and mappings.

• Identifying and resolving performance bottlenecks

• Tuning SQL queries and optimizing database connections

• Optimizing transformations and reducing data processing time

• Using partitioning and parallel processing for improved performance

• Monitoring and analyzing session logs and performance statistics

• Implementing caching and lookup op...read more

Push down optimization is a technique used in Informatica to improve performance by pushing data transformation operations to the source or target database.

• Push down optimization reduces the amount of data transferred between the source and target systems.

• It allows the database engine to perform transformations, aggregations, and filtering, leveraging its processing power.

• By pushing down operations, Informatica minimiz...read more

Display the 10th line from a file in Unix.

• Use the 'head' command to display the first 10 lines of the file.

• Then use the 'tail' command to display the last line from the first 10 lines.

• Combine both commands using a pipe ('|') to display the 10th line directly.

Display duplicate lines from a file in Unix.

• Use the 'sort' command to sort the lines in the file.

• Use the 'uniq' command with the '-d' option to display only the duplicate lines.

• Redirect the output to a new file or display it on the console.

The Python code to check if a string starts with 'a' and has 4-8 'd' after that.

• Use the startswith() method to check if the string starts with 'a'.

• Use the count() method to count the occurrences of 'd' in the string.

• Check if the count of 'd' is between 4 and 8 (inclusive).

To find disk usage of a specific directory in Unix, use the 'du' command.

• Open the terminal and navigate to the desired directory

• Run the 'du' command followed by the directory path

• The command will display the disk usage in bytes for each file and subdirectory within the specified directory

• To get the disk usage in human-readable format, use the '-h' option with 'du'

• To sort the output by disk usage, use the '-s' option wi

In a left join, all the rows from the left table are included in the result set, along with matching rows from the right table.

• Left join returns all rows from the left table and the matching rows from the right table

• If there is no match, NULL values are returned for the columns of the right table

• Left join is used to retrieve data from multiple tables based on a related column

I would address the issue by identifying the root cause, communicating with the client, and implementing necessary changes.

• Identify the reasons for not meeting client expectations

• Communicate with the client to understand their concerns and expectations

• Evaluate the development process and identify areas for improvement

• Implement necessary changes to meet client expectations

• Ensure effective communication and collaboration...read more

I would handle the scenario by following a structured approach and effectively communicating with the team.

• Assess the impact of the change on team workings

• Identify the key challenges and areas of concern

• Develop a structured plan to address the issues

• Communicate the plan to the team and seek their input

• Implement the plan while providing necessary support and guidance

• Monitor the progress and make adjustments as needed

• Reg...read more

I would handle the scenario by following a structured approach and effective communication.

• Identify all the teams and stakeholders involved

• Establish clear communication channels

• Schedule regular meetings to discuss progress and address any issues

• Document and track all interactions and decisions

• Ensure everyone is aligned on goals and expectations

• Provide regular updates and status reports

• Resolve conflicts or disagreements...read more

Cloud computing offers scalability, cost-effectiveness, flexibility, and improved security compared to on-premise datacenters.

• Scalability: Cloud allows easy scaling up or down of resources based on demand.

• Cost-effectiveness: Cloud eliminates the need for upfront hardware and infrastructure investments.

• Flexibility: Cloud enables easy access to data and applications from anywhere, anytime.

• Improved security: Cloud provide...read more

I have extensive experience in performance optimization in SQL.

• Identifying and optimizing slow queries

• Creating and maintaining appropriate indexes

• Using query execution plans to identify bottlenecks

• Optimizing database schema and table design

• Using appropriate data types and constraints

• Caching and data caching techniques

• Partitioning large tables

• Optimizing query parameters and joins

• Using stored procedures and views for per