C_SIGDA_2403

The SAP C_SIGDA_2403 exam, SAP Certified Application Associate - SAP Data Intelligence , focuses on the core functionalities of SAP Data Intelligence, a cloud-based platform for building and deploying data pipelines and machine learning models.

Here are the main points covered in the exam:

1. Introduction to SAP Data Intelligence:

• Understanding the key concepts and architecture of SAP DI.
• Knowing its purpose and how it integrates with other SAP products.
• Recognizing the role of SAP DI in data-driven decision making.

2. Data Pipelines and Data Preparation:

• Creating data pipelines using the visual development environment.
• Configuring data sources, transformations, and target systems.
• Mastering data quality and data privacy aspects.
• Understanding the role of different operators and their functionalities.

3. Machine Learning and Predictive Analytics:

• Building and deploying machine learning models within SAP DI.
• Selecting appropriate algorithms for different business problems.
• Understanding the concept of model training and evaluation.
• Creating dashboards and visualizations for data insights.

4. Deployment and Operations:

• Deploying data pipelines and models to different environments.
• Monitoring and managing the execution of data pipelines.
• Understanding the concept of version control and collaborative development.
• Integrating with other SAP solutions for seamless data flow.

5. Security and Governance:

• Ensuring data security and privacy within SAP DI.
• Implementing access control measures and data governance policies.
• Auditing and monitoring data operations for regulatory compliance.

Exam Objectives:

• Data Ingestion and Preparation:
  • Defining and configuring data sources
  • Applying data transformations and cleansing operations
  • Handling data quality and consistency
• Data Integration and Pipeline Building:
  • Creating and managing data pipelines using the visual editor
  • Utilizing operators for various pipeline tasks
  • Handling data dependencies and error handling
• Machine Learning and Predictive Analytics:
  • Selecting and configuring machine learning algorithms
  • Training and evaluating machine learning models
  • Generating insights and predictions from data
• Deployment and Operations:
  • Deploying and managing data pipelines and models
  • Monitoring and troubleshooting data operations
  • Integrating with other SAP products and systems
• Security and Governance:
  • Implementing security and access control measures
  • Ensuring data privacy and regulatory compliance
  • Auditing and monitoring data operations

Exam Structure:

• Exam Duration: 180 minutes
• Format: Multiple-choice questions
• Passing Score: 60%

Preparation Resources:

• SAP Learning Hub: Offers online courses, tutorials, and practice exams.
• SAP Help Portal: Provides comprehensive documentation and technical guides.
• SAP Community: Engage with other SAP professionals and access valuable resources.

By mastering these concepts and preparing thoroughly, you will be well-equipped to succeed in the SAP C_SIGDA_2403 exam and become a certified SAP Data Intelligence expert.