Informatica B2B Data Exchange Test

The Informatica B2B Data Exchange Test makes use of scenario-based questions to test for on-the-job skills as opposed to theoretical knowledge, ensuring that candidates who do well on this screening test have the relavant skills. The questions are designed to covered following on-the-job aspects:

• Ability to perform B2B Data Exchange using Informatica
• Knowledge of Data Integration concepts and techniques
• Proficiency in Data Transformation using Informatica
• Experience in Data Mapping for B2B Data Exchange
• Understanding of Data Validation techniques for B2B Data Exchange
• Expertise in Data Security measures for B2B Data Exchange
• Ability to handle Error Handling in B2B Data Exchange scenarios
• Knowledge of Data Quality procedures for B2B Data Exchange
• Understanding of Message Tracking in B2B Data Exchange systems
• Proficiency in Trading Partner Management for B2B Data Exchange

Once the test is sent to a candidate, the candidate receives a link in email to take the test. For each candidate, you will receive a detailed report with skills breakdown and benchmarks to shortlist the top candidates from your pool.

• B2B Data Exchange

  B2B Data Exchange is a system that enables the secure exchange of data between business partners. It involves establishing connections, defining data formats, and managing transactions between different organizations. This skill should be measured in the test to assess a candidate's ability to design, implement, and manage B2B data exchange processes.

• Data Integration

  Data Integration refers to the process of combining data from different sources and presenting it in a unified format. It involves extracting data, transforming it to meet the target system requirements, and loading it into the destination system. This skill should be measured in the test to evaluate a candidate's proficiency in integrating diverse data sources and ensuring seamless data flow.

• Data Transformation

  Data Transformation involves converting data from one format or structure to another, often required during data integration or migration processes. It includes tasks such as data mapping, data conversion, and data normalization. This skill should be measured in the test to assess a candidate's ability to manipulate and transform data effectively, ensuring its compatibility and consistency.

• Data Mapping

  Data Mapping is the process of creating a relationship between data elements in different datasets or systems, defining how they relate and interact. It is crucial for ensuring accurate data exchange, effective data integration, and proper data transformation. This skill should be measured in the test to evaluate a candidate's proficiency in designing and implementing data mapping techniques and strategies.

• Data Validation

  Data Validation is the process of checking data for accuracy, completeness, and conformity to predefined rules or criteria. It involves verifying data integrity, checking for errors, and ensuring data quality. This skill should be measured in the test to assess a candidate's ability to validate data effectively, identify and handle discrepancies, and maintain data accuracy and quality.

• Data Security

  Data Security refers to the protection of data from unauthorized access, use, disclosure, alteration, or destruction. It involves implementing security measures, such as encryption, access controls, and authentication mechanisms, to safeguard sensitive information. This skill should be measured in the test to evaluate a candidate's knowledge of data security principles and their ability to implement adequate security measures in B2B data exchange processes.

• Error Handling

  Error Handling involves identifying and managing errors or exceptions that occur during data exchange, integration, transformation, or validation processes. It includes error detection, error logging, and error recovery mechanisms. This skill should be measured in the test to assess a candidate's ability to handle and resolve errors effectively, ensuring smooth and reliable data processing.

• Data Quality

  Data Quality refers to the level of accuracy, completeness, consistency, and reliability of data. It involves implementing data cleansing, data profiling, and data quality assurance techniques to ensure high-quality data. This skill should be measured in the test to evaluate a candidate's understanding of data quality concepts and their ability to establish and maintain data quality standards in B2B data exchange scenarios.

• Message Tracking

  Message Tracking involves monitoring and tracking the movement, status, and processing of messages or data during B2B data exchange processes. It provides visibility into the flow of messages, enabling troubleshooting and monitoring of performance and compliance. This skill should be measured in the test to assess a candidate's familiarity with message tracking mechanisms and their ability to troubleshoot and analyze message flow in B2B data exchange systems.

• Trading Partner Management

  Trading Partner Management involves establishing and maintaining relationships with business partners or trading entities involved in B2B data exchange. It includes activities such as onboarding partners, managing partner profiles, and defining partner-specific data exchange requirements. This skill should be measured in the test to evaluate a candidate's knowledge of trading partner management principles and their ability to effectively collaborate with business partners in B2B data exchange scenarios.

• EDI Standards

  EDI (Electronic Data Interchange) Standards are a set of guidelines and formats used in B2B data exchange to ensure standardization and compatibility between different systems and trading partners. They define the structure, syntax, and semantics of data exchanged electronically. This skill should be measured in the test to assess a candidate's familiarity with commonly used EDI standards, such as X12 or EDIFACT, and their ability to implement and adhere to these standards in B2B data exchange processes.

• Full list of covered topics

  The actual topics of the questions in the final test will depend on your job description and requirements. However, here's a list of topics you can expect the questions for Informatica B2B Data Exchange Test to be based on.

  B2B Data Exchange

  Data Integration

  Data Transformation

  Data Mapping

  Data Validation

  Data Security

  Error Handling

  Data Quality

  Message Tracking

  Trading Partner Management

  EDI Standards

  EDI X12

  EDI AS2

  EDI VAN

  EDI FTP

  XML Transformation

  Data Encryption

  SSL/TLS

  Data Validation Rules

  Error Reporting

  Data Governance

  ETL Processes

  Database Integration

  Data Formatting

  Data Cleansing

  Data Merging

  Data Deduplication

  XPath

  XSLT

  XML Schema

  JSON Mapping

  API Integration

  Data Compliance

  Data Privacy

  Trading Partner Onboarding

  Partner Relationship Management

  Data Exchange Protocols

  Message Routing

  Data Monitoring

  Data Warehousing

  Data Replication

  Mapping Specifications

  Data Transmission

  EDI Mapping

  HL7 Messaging

  Encryption Standards

  Data Validation Testing

  Error Handling Framework

  Data Profiling

  Trading Partner Agreements

  Message Acknowledgment

  AS2 Authentication

• Data Integration Specialist
• EDI Support Analyst
• Infromatica B2B Integration Consultant
• B2B Integration Architect
• B2B Solution Engineer

For intermediate/ experienced candidates, we customize the assessment questions to include advanced topics and increase the difficulty level of the questions. This might include adding questions on topics like

• Familiarity with EDI Standards for B2B Data Exchange
• Ability to perform B2B Data Exchange with increased complexity
• Understanding of advanced Data Integration techniques
• Proficiency in complex Data Transformation scenarios
• Expertise in advanced Data Mapping for B2B Data Exchange
• Knowledge of advanced Data Validation techniques
• Ability to implement advanced Data Security measures
• Understanding of advanced Error Handling in B2B Data Exchange
• Proficiency in advanced Data Quality procedures