Informatica Interview Questions

What is Informatica and what purpose does it serve?

Informatica is a software company that provides data integration and management solutions. Its platform helps organizations extract, transform, and load data from various sources to create a unified view for analysis and decision-making. It also offers tools for data quality, data governance, and master data management.

Explain the difference between Informatica PowerCenter and Informatica Cloud.

Informatica PowerCenter is an on-premise data integration tool used for complex data workflows and large data volumes. On the other hand, Informatica Cloud is a cloud-based data integration tool for simpler data integration tasks and offers scalability, flexibility, and easy deployment.

What are the different types of transformations in Informatica?

In Informatica, there are various types of transformations including: 1. Active Transformations: Filter, Expression, Joiner, Router 2. Passive Transformations: Lookup, Stored Procedure, Unconnected Lookup 3. Connected Transformations: Connected Lookup, Aggregator, Sorter 4. Unconnected Transformations: Stored Procedure, Filter Transformation

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What is a mapping in Informatica and how is it different from a session?

A mapping in Informatica is a set of source and target definitions linked by transformation rules to extract, transform, and load data. It is a visual representation of ETL logic. A session, on the other hand, is a run-time instance of a mapping, executing the ETL process with defined session properties.

How can you create reusable mappings in Informatica?

To create reusable mappings in Informatica, you can use the concept of parameterization. By defining input and output parameters within your mappings, you can make them more flexible and reusable across different workflows or sessions in Informatica PowerCenter.

What is a workflow in Informatica and how is it used?

In Informatica, a workflow is a set of tasks that are executed in a specific order to accomplish a data integration or data transformation process. It is used to automate complex data management processes by defining dependencies between tasks and ensuring the smooth flow of data from source to target systems.

Explain the concept of partitioning in Informatica and its benefits.

Partitioning in Informatica involves dividing data into smaller subsets to improve performance by increasing parallel processing. It allows for better utilization of system resources, reduces data bottlenecks, and enhances data integration efficiency. This results in faster data processing, better scalability, and improved overall performance of data integration processes.

What are the different types of tasks in an Informatica workflow?

There are various types of tasks in an Informatica workflow, including database tasks for connecting to databases, command tasks for running shell commands, email tasks for sending emails, decision tasks for conditional logic, event wait tasks for waiting for certain events, and session tasks for executing data integration processes.

How can you debug mappings in Informatica PowerCenter?

You can debug mappings in Informatica PowerCenter by using the Debugger tool. Simply enable the debug mode in the mapping properties, set breakpoints in the mapping, execute the mapping in debug mode, and monitor the data flow to identify any issues and troubleshoot them effectively.

What is a repository service in Informatica? Why is it important?

A repository service in Informatica is a component that manages metadata for all objects in the PowerCenter environment. It stores information about sources, targets, mappings, transformations, and workflows. It is important because it ensures consistency, reusability, and version control of objects across different projects within the PowerCenter environment.

What is a transformation in Informatica and give examples of some transformations.

A transformation in Informatica is a rule-based operation that converts, cleans, and manipulates data during the ETL process. Some examples of transformations include Filter, Aggregator, Lookup, Joiner, Expression, Rank, and Router transformations. These are used to process data and ensure it meets business requirements.

Explain the concept of data quality in Informatica.

Data quality in Informatica refers to the accuracy, completeness, reliability, and timeliness of data stored in a system. Informatica provides tools and processes to ensure data meets quality standards, allowing organizations to make informed decisions based on trustworthy information. It involves cleansing, standardizing, and enriching data to improve its overall quality.

What are the different options available for error handling in Informatica workflows?

In Informatica workflows, different options for error handling include using Rejected Rows, Workflow Variables, Conditional Statements, Decision Task, Email Notification Task, Event Wait Task, Stopping or Aborting the workflow, and using the Control Task to handle errors based on predefined conditions.

What is the difference between a router and filter transformation in Informatica?

A router transformation in Informatica helps to route data to different outputs based on defined conditions, while a filter transformation is used to filter rows of data based on specified criteria. Routers split data flow, while filters remove unwanted data.

How can you monitor performance of Informatica workflows?

To monitor performance of Informatica workflows, you can use the Workflow Monitor tool provided by Informatica. This tool allows you to track workflow runs, view session logs, and identify any bottlenecks or issues that may be impacting performance. Additionally, you can set up alerts and notifications for important events.

Explain the concept of mapping variables in Informatica.

Mapping variables in Informatica are dynamic placeholders that can hold values during the execution of a mapping. They can be used to store and manipulate values such as counts, timestamps, or file paths within a mapping, allowing for more flexibility and control during data processing.

How can you create a mapping between two different source tables in Informatica?

To create a mapping between two different source tables in Informatica, you can use the Source Qualifier transformation to import data from each source table. Then, you can use transformations such as Joiner or Lookup to combine the data from both tables based on a common key and create the mapping.

What is a workflow monitor in Informatica and how is it used?

A workflow monitor in Informatica is a tool used to monitor and manage the execution of workflows. It provides real-time information on workflow progress, status, and errors. Users can use the workflow monitor to view details, troubleshoot issues, and take action to ensure smooth workflow execution.

Explain the concept of data cleansing in Informatica.

Data cleansing in Informatica involves identifying and correcting errors or inconsistencies in the data to improve its quality and accuracy. This process includes removing duplicates, standardizing formats, and resolving discrepancies to ensure reliable data for analysis and decision-making.

How can you handle incremental data loads in Informatica?

To handle incremental data loads in Informatica, you can use a variety of techniques such as using the "Effective Date" logic, using CDC (Change Data Capture) to identify and load only the changed data, utilizing lookup transformations to compare existing data with incoming data, and incorporating incremental aggregation logic.

What is Informatica and what purpose does it serve?

Informatica is a software company that provides data integration and management solutions. Its platform helps organizations extract, transform, and load data from various sources to create a unified view for analysis and decision-making. It also offers tools for data quality, data governance, and master data management.

Informatica is a leading data integration and management software company that provides various products and solutions for managing data across multiple platforms. Informatica offers tools for data integration, data quality, data governance, metadata management, and other data-related tasks.

The primary purpose of Informatica is to help organizations efficiently manage their data assets, improve data quality, and streamline data operations. Some common use cases of Informatica products include:

  • Data Integration: Informatica PowerCenter is a popular data integration tool that allows organizations to extract, transform, and load (ETL) data from various sources into a unified data warehouse or data lake.
  • Data Quality: Informatica Data Quality (IDQ) helps organizations improve the quality of their data by identifying and resolving data errors, duplicates, inconsistencies, and other data quality issues.
  • Master Data Management: Informatica MDM enables organizations to create and maintain a single, accurate, and complete view of their master data entities such as customers, products, or employees.

Informatica's products are used by businesses of all sizes across various industries to drive better decision-making, compliance, and operational efficiency through effective data management practices.