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SAP Certified Associate - SAP Business Data Cloud Sample Questions (Q72-Q77):
NEW QUESTION # 72
Which of the following objects are generated during the installation of an Intelligent Application and can be copied as part of a scenario for customer-specific enhancements?
There are 2 correct answers to this question.
Response:
Answer: C,D
NEW QUESTION # 73
What features are supported by the SAP Analytics Cloud data analyzer? Note: There are 3 correct answers to this question.
Answer: A,D,E
Explanation:
The SAP Analytics Cloud Data Analyzer is designed for ad-hoc data exploration and analysis, providing a focused environment for users to quickly derive insights. Among its key supported features are calculated measures, which allow users to create new metrics on the fly based on existing data, enabling deeper analysis without modifying the underlying model. Input controls are also supported, providing interactive filtering capabilities that allow users to dynamically adjust the data displayed based on specific criteria, enhancing the flexibility of their analysis. Furthermore, conditional formatting is a valuable feature that enables users to apply visual styling (e.g., colors, icons) to data points based on defined rules, making it easier to identify trends, outliers, or specific conditions at a glance. While charts and linked dimensions are integral to full stories, the Data Analyzer's strength lies in its immediate, flexible analytical capabilities for a single data source.
NEW QUESTION # 74
What is the main storage type of the object store in SAP Business Data Cloud?
Answer: D
Explanation:
The primary storage type for the object store within the SAP Business Data Cloud (BDC) architecture is SAP HANA data lake files. SAP BDC is designed to handle vast amounts of diverse data, including semi-structured and unstructured data, which is efficiently stored in a data lake. The SAP HANA data lake, specifically its file storage component, provides a highly scalable and cost-effective solution for retaining raw, historical, and detailed data. This contrasts with traditional relational databases (like SAP HANA extended tables) or data warehousing constructs (like BW/4HANA DataStore objects or InfoObjects), which are optimized for structured, aggregated data and specific query patterns. The object store's reliance on data lake files in BDC underscores its capability to manage enterprise-wide data regardless of its structure, making it suitable for a wide range of analytical workloads, including those involving machine learning and advanced analytics where raw data access is crucial.
NEW QUESTION # 75
What is required to use version management in an SAP Analytics Cloud story?
Answer: A
Explanation:
To leverage version management capabilities within an SAP Analytics Cloud (SAC) story, it is a fundamental requirement that the story is built on a planning model. Version management is a core feature specifically designed for planning functionalities. It enables users to create, manage, and compare different scenarios or iterations of data, such as "Actual," "Budget," "Forecast," or various planning versions. This is critical for budgeting, forecasting, and what-if analysis, allowing planners to work on different data sets concurrently and track changes over time. While analytic models are used for general reporting and analysis, they do not inherently support the robust version management features that are integral to planning processes. Therefore, if you intend to utilize version management to compare different data scenarios or manage planning cycles, your SAC story must be connected to a planning model.
NEW QUESTION # 76
What is the role of "Spaces" in SAP Business Data Cloud?
Please choose the correct answer.
Response:
Answer: C
NEW QUESTION # 77
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