Pass the SAP SAP Certified Associate C_ABAPD_2507 Questions and answers with CertsForce

Comprehensive and Detailed Explanation From Exact Extract:

Sorted tables:

Full key lookup uses a binary search → efficient (A).

Left-aligned partial key lookup also benefits from sort order to find ranges efficiently (C).

Hashed tables:

Require the complete key for O(1) access; partial key is not supported. Hence (E) is correct and (D) is not.

Standard tables:

Have no inherent ordering/index for key-based access; specifying a key (even partially) results in linear search unless you maintain sort and specify BINARY SEARCH explicitly, which still doesn’t change the fundamental case in this question; thus (B) is not considered a faster pattern here.

Study Guide Reference: ABAP Cloud Programming—Internal Tables (standard/sorted/hashed) performance characteristics.

Comprehensive and Detailed Explanation from Exact Extract:

Here, c_char is defined as a character type with a space ' ' as its value.

When attempting 2 / c_char, ABAP tries to interpret the character ' ' as a number. Since it is not a numeric value, ABAP raises the conversion error cx_sy_conversion_no_number.

cx_sy_zerodivide would occur only if the denominator was zero numeric.

cx_sy_itab_line_not_found applies to internal table access errors, not relevant here.

This is consistent with ABAP Cloud runtime exception handling, where strict typing and error categories are clearly defined.

Verified Study Guide Reference: ABAP Keyword Documentation – Exception Classes in Arithmetic Operations.

Comprehensive and Detailed Explanation from Exact Extract:

In ABAP Cloud, string functions that support regular expressions (PCRE) include:

match( ) → returns the first substring matching the regex.

matches( ) → checks if the whole string matches the regex.

find( ) → finds a substring based on regex pattern.

Functions such as reverse( ) and condense( ) do not support regex patterns; they are purely string manipulation utilities.

Verified Study Guide Reference: ABAP Keyword Documentation – String Functions with Regular Expressions.

Comprehensive and Detailed Explanation from Exact Extract:

In ABAP Cloud, translation is supported for:

Data element texts (short, medium, long descriptions).

Message class texts (used in MESSAGE statements).

Text symbols (defined in programs).

Not translatable:

String variables → runtime values, no translation.

Text literals → hard-coded, not translatable via translation tools.

Study Guide Reference: ABAP Documentation – Text Elements and Translation in ABAP Cloud.

Comprehensive and Detailed Explanation From Exact Extract:

The purpose of a foreign key relationship in the ABAP Dictionary is to ensure the integrity of data between the related database tables. This relationship checks that values entered in the foreign key field exist in the check table, thereby preventing invalid or orphaned entries.

While foreign key relationships do not automatically enforce constraints at the database level, they are used for enforcing referential integrity at the application layer and play a key role in:

Input help (F4 Help)

Validation checks during data modification

Ensuring consistency of master and transaction data

This aligns with the standard ABAP development model, where the application layer (not the database) handles logical consistency using metadata from the ABAP Dictionary.

Comprehensive and Detailed Explanation From Exact Extract:

The consumption layer in ABAP CDS views is used to define views for user-facing applications, analytical scenarios, and UI services. The valid view types used at this layer include:

Table Function: Used where custom logic or complex data transformations are required. These are implemented with AMDP or class-based logic and exposed via CDS consumption views.

Analytical Query: Designed for analytical use cases with annotations like @Analytics.query: true to allow exposure to Fiori Analytical apps.

Hierarchy: Used for defining and consuming hierarchical data in CDS. These can be displayed in Fiori Tree tables and analytical contexts.

The following options are incorrect:

Transactional Interface and Transactional Query are not standard view types or part of the CDS view hierarchy used in the consumption layer. These terms may have been incorrectly stated and do not reflect supported CDS artifacts.

 Database table

 Data model view

 Projection view

 Service definition

 Service binding

In RAP, the development flow follows a bottom-up approach, beginning with persistence and ending with OData exposure:

Database table:The persistence layer where data is stored. This is the foundation of the business object model.

Data model view (CDS entity):The CDS view is defined on top of the database table to provide a semantic data model. It represents entities like Travel or Booking.

Projection view:Provides an abstraction of the data model view and controls which fields and associations are exposed externally.

Service definition:Specifies which projection views (entities) are exposed in the OData service.

Service binding:Connects the service definition to a communication protocol (e.g., OData V2 or V4), generating the final consumable service endpoint.

This sequence ensures a layered architecture consistent with RAP guidelines:

Persistence layer → Data model layer → Projection layer → Service layer → Binding to protocol.

Comprehensive and Detailed Explanation From Exact Extract:

Use ABAP Development Tools (ADT) in Eclipse: For ABAP Cloud development, ADT must be used, and modern object types such as CDS View Entities and Behavior Definitions can only be edited in ADT. This confirms option B.

Use SAP-released/predefined extension points: RAP extensibility is opt-in; every possible extension point must be defined explicitly in the original BO artifacts. Extensions are performed only at these predefined points to ensure lifecycle stability—this is exactly the “use SAP-released extension points” rule. This confirms option A.

In contrast, directly modifying SAP objects is not part of the clean-core, upgrade-stable model for public cloud; extensions must adhere to released APIs and predefined points (therefore C is not correct). The classic Web Dynpro UI technology is not the target for ABAP Cloud development in S/4HANA Cloud public edition (therefore D is not correct). (Context anchored by the extensibility/clean-core guidance above.)

Study-Guide anchors: ABAP Cloud development with ADT only; RAP opt-in extensibility and predefined extension points for cloud-ready, upgrade-safe extensions.

Comprehensive and Detailed Explanation From Exact Extract:

When performing a JOIN in ABAP SQL or CDS:

The key requirement is to specify the ON condition, which compares fields from the two tables, typically via equality (e.g., ON a.field = b.field). Hence, Option D is correct.

The fields do not need to have the same name (Option C is incorrect).

The position in the table structure is irrelevant (Option A is incorrect).

An alias name is optional, not mandatory (Option B is incorrect).

Comprehensive and Detailed Explanation from Exact Extract:

In RAP, the Projection View is designed to expose only the fields relevant for a specific app, keeping the UI lean and controlled.

Metadata extension → adds UI-related metadata, not fields.

Database view → technical representation, not app-specific.

Data model view → defines the data structure, not app-specific projection.

Verified by RAP documentation: Projection views are application-specific representations of the underlying data model.

Study Guide Reference: SAP RAP Help – Business Object Projection Layer.