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SAP Certified Associate - Data Engineer - Data Fabric Sample Questions (Q51-Q56):

NEW QUESTION # 51
You want to define a restricted column in an SAP HANA calculation view. What do you need to define? Note: There are 2 correct answers to this question.

A. An aggregation method
B. A condition criterium
C. A reference to an existing measure
D. An SAP HANA data type

Answer: A,B

NEW QUESTION # 52
What are the prerequisites for deleting master data (for example, cost centers) in SAP BW/4HANA? Note: There are 2 correct answers to this question.

A. There must be no hierarchy for the cost centers
B. There must be no BW analysis authorizations defined thta use any of the cost centers
C. There must be no BW query that uses cost cenetr as a free characteristics.
D. There must be no transaction data referring to the cost centers

Answer: A,D

NEW QUESTION # 53
Why should you run an SAP HANA delta merge? Note: There are 2 correct answers to this question.

A. To improve the read performance of InfoProviders
B. To decrease memory consumption
C. To move the most recent data from disk to memory
D. To combine the query cache from different executions

Answer: A,B

NEW QUESTION # 54
What are prerequisites for S-API Extractors to load data directly into SAP Datasphere core tenant using delta mode? Note: There are 2 correct answers to this question.

A. A primary key needs to exist.
B. Extractor must be based on a function module
C. Operational Data Provisioning (ODP) must be enabled
D. Real-time access needs to be enabled

Answer: A,D

NEW QUESTION # 55
Which entity can be used as a source of an Analytic Model?

A. Remote tables of semantic type Text
B. Views of semantic type Fact
C. Business entities of semantic type Dimension
D. Tables of semantic type Hierarchy

Answer: B

Explanation:
AnAnalytic Modelin SAP Data Fabric or SAP BW/4HANA is designed to analyze data by combining facts (measures) and dimensions (attributes). To create an Analytic Model, you need a source entity that represents the fact data. Below is a detailed explanation of why the correct answer is B:
* Incorrect: Business entities of semantic typeDimensionrepresent descriptive attributes (e.g., customer name, product category) rather than measurable data. While dimensions are essential for enriching fact data, they cannot serve as the primary source of an Analytic Model.
Option A: Business entities of semantic type Dimension
* Correct: Views of semantic typeFactcontain measurable data (e.g., sales revenue, quantity sold) and are the primary source for an Analytic Model. These views provide the numerical data required for analysis and reporting.
Option B: Views of semantic type Fact
* Incorrect: Tables of semantic typeHierarchydefine hierarchical relationships (e.g., organizational structures or product hierarchies). While hierarchies are useful for organizing and navigating data, they do not contain measurable data and cannot serve as the source of an Analytic Model.
Option C: Tables of semantic type Hierarchy
* Incorrect: Remote tables of semantic typeTextstore textual descriptions (e.g., product names, region names). These tables are used to enhance dimensions but do not contain measurable data and are not suitable as the source of an Analytic Model.
Option D: Remote tables of semantic type Text
* SAP Data Fabric Documentation: Explains the role of semantic types in defining the purpose of entities (e.g., Fact, Dimension, Hierarchy, Text).
* SAP BW/4HANA Modeling Guide: Describes how Analytic Models are built using fact data as the primary source and dimensions for contextual enrichment.
* SAP Analytics Cloud Integration: Highlights the importance of fact views in enabling advanced analytics and reporting.
References to SAP Data Engineer - Data Fabric ConceptsBy understanding the semantic types and their roles, you can effectively design Analytic Models that meet business requirements for data analysis and reporting.

NEW QUESTION # 56
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