SAP C_ACTIVATE22 Exam With Confidence Using Practice Dumps

A is correct because the Scrum team is the one that determines the tasks that are required to complete the committed backlog items in a Sprint. The Scrum team is a self-organizing and cross-functional group of people who work together to deliver a potentially releasable increment of the product at the end of each Sprint. The Scrum team breaks down the user stories into smaller and manageable tasks, and assigns them to the team members based on their skills and availability.

• A is correct because active participation is a key principle for designing effective workshops, as it ensures that all stakeholders are engaged and contribute to the workshop outcomes.
• B is correct because fit-to-standard is a workshop design guideline that aims to minimize customizations and leverage the standard SAP functionality as much as possible. Verified References:
• : SAP Activate Project Management Certification Guide, page 123
• : SAP Activate Methodology for SAP S/4HANA Cloud, page 40

• B is correct because discussing the benefits of SAP Data Warehouse Cloud is one of the activities that take place during the Discover phase in an SAP BW/4HANA implementation. SAP Data Warehouse Cloud is a cloud-based solution that enables you to create a data warehouse that integrates data from various sources and provides analytics capabilities. You can discuss how SAP Data Warehouse Cloud can complement your SAP BW/4HANA solution and provide additional value for your business scenarios.
• C is correct because discussing the benefits and functionality of SAP Analytics Cloud is one of the activities that take place during the Discover phase in an SAP BW/4HANA implementation. SAP Analytics Cloud is a cloud-based solution that provides business intelligence, planning, and predictive analytics capabilities. You can discuss how SAP Analytics Cloud can leverage your SAP BW/4HANA data and provide insights and visualizations for your business users. Verified References:
• : SAP Activate Methodology for Data Warehousing, page 13