SAP Certified - Data Architect - SAP Business Data Cloud (C_BDCDA_2605)
Try free practice questions, flashcards and revision notes for the SAP Certified - Data Architect - SAP Business Data Cloud exam (C_BDCDA_2605). Built from the official SAP learning journey and checked by SAP experts.
About the exam
In this SAP exam you do not just pick answers. You work through realistic customer situations and must explain, recommend and justify your decisions, the way a consultant does in a real project conversation.
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Work through 10 practice questions, 10 flashcards and a revision notes sample, free and without sign up. Every item shows the official topic it is built from.
Which of the following best describes a key characteristic of data fabric architecture?
Choose one answer
A key characteristic of data fabric architecture is its ability to provide seamless integration of data across multiple environments, facilitating better data accessibility.
Your customer is looking to enhance their data architecture to improve decision-making processes. What do you recommend as a primary value pattern to focus on?
Choose one answer
A centralized data warehouse is a key value pattern that improves data accessibility and consistency, leading to better business outcomes.
Which of the following is a prerequisite for effective governance loops in data strategy?
Choose one answer
A comprehensive data inventory is crucial for establishing effective governance loops.
Which framework is primarily designed to provide a comprehensive view of data management practices and governance in data architecture?
Choose one answer
DAMA-DMBOK is specifically designed to provide a comprehensive view of data management practices and governance, making it the correct choice.
Which of the following steps is essential when translating technical choices into measurable business value in SAP Data Architecture?
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Identifying KPIs is a critical step in linking technical decisions to business value.
Which of the following methodologies can be used to assess the impact of technical choices on business value? (Choose two)
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Value Stream Mapping and Cost-Benefit Analysis are effective methodologies for assessing impact.
Which of the following is a benefit of using integrated frameworks in data architecture?
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Integrated frameworks help in achieving improved data consistency across different data sources.
Which of the following is a key organizational factor in building a shared data and AI culture?
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Encouraging cross-departmental collaboration is essential for fostering a shared data and AI culture.
Your customer wants to ensure their organization has a strong data culture. What should they prioritize? (Choose two)
Choose 2 answers
Creating a data-driven decision-making framework and fostering continuous learning are essential for a strong data culture.
Your customer is confused about the differences between the focus of DAMA-DMBOK and TOGAF. How would you clarify this?
Choose one answer
Clarifying the focus of each framework helps in understanding their roles in data architecture.
Check a few answers to see how you are doing.
The full package has 573 questions with timed exams and a score for every course.
Unlock every questionData products are designed to be reusable, allowing organizations to leverage the same data across multiple applications and use cases.
Click or tap to turn backData mesh promotes decentralized data ownership across domains, while data fabric focuses on a centralized architecture that integrates data from various sources for unified access.
Click or tap to turn backAn example of a conceptual model artifact is an Entity-Relationship Diagram (ERD) that illustrates entities and their relationships without detailing data types or storage.
Click or tap to turn backThe main types of metadata are descriptive, structural, administrative, and technical metadata. Each type serves a different role in data governance and management.
Click or tap to turn backA key metric for measuring data strategy success is data quality, which assesses accuracy, completeness, consistency, and timeliness of data across the organization.
Click or tap to turn backTOGAF provides the architecture development method, while DAMA-DMBOK offers data management best practices, together ensuring comprehensive data governance and architecture alignment.
Click or tap to turn backConceptual data modeling defines the high-level structure of business concepts and their relationships, focusing on what data is required without detailing how it will be implemented.
Click or tap to turn backA data architecture framework provides a structured approach to align technical decisions with business goals, ensuring that data initiatives deliver measurable value to the organization.
Click or tap to turn backTOGAF focuses on a comprehensive architecture development method, while the SAP Enterprise Architecture Framework specifically addresses SAP-centric environments and solutions.
Click or tap to turn backData architecture principles guide the design and management of data ecosystems, ensuring alignment with business goals, governance standards, and scalability requirements.
Click or tap to turn back531 cards with spaced repetition in the Flashcards add-on. Cards you miss come back sooner.
See the add-onsThis section continues in the full Revision Notes.
To convey the importance of leadership and culture in data strategy, explain to customers how fostering a data-driven mindset can lead to more informed decision-making and innovation.
Strong leadership and a supportive culture.
By enhancing data literacy and aligning data initiatives with business goals.
When explaining data architecture principles to a customer, emphasize how these principles align with their business goals and ensure data is managed effectively and securely.
This section continues in the full Revision Notes.
To explain the application of frameworks to data mesh and data fabric, illustrate how these frameworks ensure that both solutions maintain consistency and governance while adapting to different data environments.
By decentralizing data ownership and governance while ensuring coherence.
This section continues in the full Revision Notes.
To explain modern data paradigms to a customer, highlight how each paradigm addresses specific business needs, such as flexibility, scalability, or domain-specific data management.
Storing large volumes of raw data in its native format.
This section continues in the full Revision Notes.
Explain to the customer how Data Mesh empowers domain teams to manage their data independently while maintaining centralized governance.
Domain-oriented data ownership and management.
Through federated computational governance.
Continue with the full Revision Notes for all 37 lessons, with search and a downloadable PDF.
See the Revision Notes add-onThis is a free sample. Add the Practice Test (573 questions), Flashcards (531 cards) and Revision Notes (all 37 lessons) to your SBA package.
See the SBA packageThis SAP C_BDCDA exam practice is prepared and verified by ValidExamDumps's SAP Subject Matter Experts (SMEs). How our SAP SMEs prepare and verify it
10 scenarios in 3 levels
Full multi phase scenarios that mirror the exam format, with the narrative, the challenges and the real decisions the exam puts in front of you. Ordered from foundation to advanced so you can build up.
Build the core configuration moves
Apply the concepts to realistic client situations
Handle complex decisions with several stakeholders
Practice interview
Skill drills
573
573 skill drills across the 8 domains this exam covers. Pick a domain to train it and see where you are strong or weak.
Course outline
Our content follows the official SAP learning journey Becoming a Certified SAP Data Architect (2 courses, 37 lessons).
View on SAP LearningHow it works
A customer persona introduces a realistic project situation.
Explain and justify your recommendations, as in the real exam.
Score per topic, strengths, gaps and the model answer for every question.
Scenario Based Assessment practice, with optional add-ons
From $40
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