Online Access Free C-BCSBS-2502 Exam Questions

Which of the following are RISE with SAP journeys? Note: There are 2 correct answers to this question.

• A.Greenfield ERP implementation on Public Cloud
• B.An ERP transformation to private cloud
• C.A hybrid two-tier approach
• D.New customers move to the public cloud

What does SAP recommend you do to explain the value of the SAP Business Suite?

• A.Articulate the same end-to-end suite value proposition to all C-level personas
• B.Lead with a buying center persona view in tune with customer business challenges
• C.Position SAP's portfolio of applications, data, and business AI as standalone value drivers

What are the key marketing messages of SAP Business Data Cloud? Note: There are 3 correct answers to this question.

• A.Unleash AI-powered insights
• B.Connect all data
• C.Foster reliable AI
• D.Unleash transformative insights
• E.Connect SAP data

Which solution enables advanced Al and machine learning models on combined SAP and third-party data?

• A.SAP Analytics Cloud
• B.SAP Datasphere
• C.SAP Databricks
• D.SAP Al Launchpad

Drag and drop the key terms to the correct position.

Correct Answer:

Explanation:
* Largest Circle (Outer Layer):AI (Artificial Intelligence)
* Second Layer (inside AI):Machine Learning
* Third Layer (inside Machine Learning):Deep Learning
* Innermost Layer (inside Deep Learning):Generative AI (Gen AI)
* AI (Artificial Intelligence):The broadest field. Encompasses all intelligent systems that mimic human behavior, decision making, or reasoning.
* Machine Learning:A subset of AI. Uses algorithms to learn patterns from data and make predictions.
* Deep Learning:A subset of Machine Learning. Involves neural networks with many layers (hence
"deep"), great for processing images, language, etc.
* Generative AI:A subset of Deep Learning. These models (like GPT, DALL-E, etc.) can generate new content such as text, images, or code.
Visual Placement from Largest to Smallest:
* AI (outermost, encompasses everything)
* Machine Learning (inside AI)
* Deep Learning (inside Machine Learning)
* Generative AI (inside Deep Learning)