Informatica P360 Test

This skill focuses on the candidate’s knowledge of relational databases (RDBMS) and SQL within P360. It assesses the ability to query, manage, and optimize databases using SQL commands. The test includes more complex SQL operations such as joins, subqueries, and indexing, and evaluates proficiency in query optimization, stored procedures, and applying SQL functions to transform data, ensuring candidates can handle complex data management tasks.

This skill assesses the candidate’s understanding of data quality management and governance principles within P360. It covers basic data quality rules, governance frameworks, and stewardship roles. The test evaluates the ability to implement and manage governance policies, data lineage, and compliance with regulations, ensuring candidates can maintain high standards of data quality and adhere to governance best practices.

This skill evaluates the candidate’s understanding of data modeling within P360, including entity relationships, hierarchies, and business rule enforcement. The test covers creating, maintaining, and optimizing data models, focusing on complex hierarchies and multi-entity modeling. It assesses the ability to design scalable and efficient models for large datasets, ensuring candidates can develop robust data structures that support business needs.

This skill covers the architecture of the Informatica Intelligent Data Management Cloud (IDMC) platform and its integration with P360. It assesses knowledge of IDMC's components, data flows, and optimizing P360 architectures for large-scale deployments. The test evaluates understanding of API integrations and interoperability with external systems, ensuring candidates can design resilient and scalable data management solutions.

This skill covers Extract, Transform, Load (ETL) processes within P360, focusing on data transformation workflows and integration patterns. The test assesses basic ETL concepts, advanced transformation logic, job scheduling, and handling large datasets. It evaluates expertise in optimizing ETL processes and maintaining data integrity, ensuring candidates can efficiently manage data transformations and integrations.

This skill evaluates the candidate's proficiency in Master Data Management (MDM) architecture within P360. It focuses on designing governance frameworks, establishing workflows, and creating scalable MDM solutions. The test assesses the application of MDM principles, solving data consistency problems, and integrating MDM with P360 for cross-system governance, ensuring candidates can manage master data effectively.

This skill focuses on advanced performance optimization techniques in P360. The test covers analyzing and optimizing data processing workflows, minimizing latency, and scaling P360 operations. It evaluates the ability to diagnose performance bottlenecks and implement strategies for high availability and fault tolerance, ensuring candidates can maintain efficient and reliable data operations.

This skill tests the candidate's knowledge of security and compliance practices within P360 environments. The test assesses basic security controls, security policies for GDPR and HIPAA compliance, and the design of secure architectures. It evaluates advanced data protection mechanisms and auditing processes, ensuring candidates can implement robust security measures and comply with regulations.

This skill covers the automation of P360 workflows and the implementation of Continuous Integration/Continuous Deployment (CI/CD) pipelines. The test assesses basic automation concepts, integration of external CI/CD tools, and designing complex automated workflows. It evaluates the ability to implement CI/CD strategies and ensure consistent delivery of updates, ensuring candidates can streamline deployments and improve operational efficiency.