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NEW QUESTION: 1
You have been asked to explain how the Quality Management in Sales and distribution handled in the system. What are the steps involved? (Choose three)
A. When an outbound delivery is created in Sales and Distribution, we have to create an inspection lot for the delivery items that are relevant for inspection
B. When an outbound delivery is created in Sales and Distribution, Quality Management automatically creates an inspection lot for the delivery items that are relevant for inspection
C. The usage decision represents the completion of the QM inspection
D. The materials which are subject to quality inspections are specified in Quality Management view of the material master
Answer: B,C,D

NEW QUESTION: 2
Match the Microsoft guiding principles for responsible AI to the appropriate descriptions.
To answer, drag the appropriate principle from the column on the left to its description on the right. Each principle may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:
Box 1: Reliability and safety
To build trust, it's critical that AI systems operate reliably, safely, and consistently under normal circumstances and in unexpected conditions. These systems should be able to operate as they were originally designed, respond safely to unanticipated conditions, and resist harmful manipulation.
Box 2: Fairness
Fairness: AI systems should treat everyone fairly and avoid affecting similarly situated groups of people in different ways. For example, when AI systems provide guidance on medical treatment, loan applications, or employment, they should make the same recommendations to everyone with similar symptoms, financial circumstances, or professional qualifications.
We believe that mitigating bias starts with people understanding the implications and limitations of AI predictions and recommendations. Ultimately, people should supplement AI decisions with sound human judgment and be held accountable for consequential decisions that affect others.
Box 3: Privacy and security
As AI becomes more prevalent, protecting privacy and securing important personal and business information is becoming more critical and complex. With AI, privacy and data security issues require especially close attention because access to data is essential for AI systems to make accurate and informed predictions and decisions about people. AI systems must comply with privacy laws that require transparency about the collection, use, and storage of data and mandate that consumers have appropriate controls to choose how their data is used Reference:
https://docs.microsoft.com/en-us/learn/modules/responsible-ai-principles/4-guiding-principles

NEW QUESTION: 3
A customer has given you the following information and requirements for designing a global user base with Documentum:
A primary datacenter is in the US.
Remote datacenters are in England, China, and Brazil. Remote datacenters have limited IT support onsite. Webtop is the only access to repositories.
IT mandates there are no database servers allowed outside of the US datacenter. IT mandates that all content must be stored at the US datacenter.
Which type of distributed architecture would you recommend for this customer?
A. multiple repositories at each datacenter with object replication set up between them
B. a single repository with content stored in a distributed storage area at each datacenter, with ondemand replication for remote access
C. a single repository with content stored at the primary site, utilizing Accelerated Content Services (ACS) and/or Branch Office Caching Service (BOCS) servers for remote access
D. multiple repositories at each datacenter with object replication set up between them, organized into a federation
Answer: C