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SAP Exam C_MDG_1909 Topic 8 Question 106 Discussion

Actual exam question for SAP's C_MDG_1909 exam
Question #: 106
Topic #: 8
[All C_MDG_1909 Questions]

Which solutions does SAP Master Data Governance offers as standard? Note: There are 2 correct answers to this question.

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Suggested Answer: B

by Maybelle at Feb 09, 2025, 12:15 AM

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Lonna
24 days ago
Wait, so SAP Master Data Governance doesn't offer solutions for consolidating my collection of garden gnomes? Disappointing.
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Adaline
2 days ago
C) Data quality and process analytics
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Simona
6 days ago
A) Consolidation and mass processing
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Gerald
29 days ago
Ooh, Retail and fashion management? Maybe I can use this to convince my boss to get me a new wardrobe.
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Selma
15 hours ago
User 2: Yes, that's correct. It also offers data quality and process analytics.
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Adelle
17 days ago
User 1: I think SAP Master Data Governance offers consolidation and mass processing as standard.
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Gary
1 months ago
D? Enterprise asset management? Seriously? I think the developers were having a bit too much fun with this one.
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Quentin
30 days ago
C) Data quality and process analytics
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Daren
1 months ago
A) Consolidation and mass processing
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Yolande
2 months ago
A and C seem like the obvious choices here. Master Data Governance is all about data quality and process management, right?
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Arminda
9 days ago
User 4: That makes sense, those are key components of Master Data Governance.
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Josefa
27 days ago
User 3: So, A) Consolidation and mass processing and C) Data quality and process analytics are the solutions offered.
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Bette
1 months ago
User 2: I agree, Master Data Governance focuses on data quality and process management.
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Ria
1 months ago
User 1: I think A and C are the correct answers.
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Christiane
2 months ago
I'm not sure about the answers. Can you explain why those solutions are important for SAP Master Data Governance?
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Felix
2 months ago
I agree with Danica. Those solutions are essential for managing master data effectively.
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Danica
2 months ago
I think the correct answers are A) Consolidation and mass processing and C) Data quality and process analytics.
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