C. Get entity

Answer DescriptionExplanation:
In RESTful Application Programming, the EML statement that retrieves an object is GET entity. The GET entity statement is used to read data of an entity instance from the database or the transaction buffer. The GET entity statement can specify the entity name, the entity key, and the entity elements to be retrieved. The GET entity statement can also use the IN LOCAL MODE addition to bypass the access control, authorization control, and feature control checks. The GET entity statement returns a single entity instance or raises an exception if no instance is found or multiple instances match the key.

The other EML statements are not used to retrieve an object, but have different purposes and effects. These statements are:

FIND entity: This statement is used to search for entity instances that match a given condition. The FIND entity statement can specify the entity name, the entity elements to be returned, and the condition to be applied. The FIND entity statement can also use the IN LOCAL MODE addition to bypass the access control, authorization control, and feature control checks. The FIND entity statement returns a table of entity instances or an empty table if no instances match the condition.

SELECT entity: This statement is used to query data of entity instances from the database or the transaction buffer. The SELECT entity statement can specify the entity name, the entity elements to be returned, and the filter, order, and aggregation options to be applied. The SELECT entity statement can also use the IN LOCAL MODE addition to bypass the access control, authorization control, and feature control checks. The SELECT entity statement returns a table of entity instances or an empty table if no instances match the query.

READ entity: This statement is not a valid EML statement, but an ABAP statement. The READ statement is used to access a single row of an internal table using the table index or the table key. The READ statement can also use the TRANSPORTING addition to specify which fields should be returned, and the INTO addition to specify the target variable. The READ statement returns a single row of the internal table or raises an exception if no row is found or multiple rows match the key.

D. Developer

Answer DescriptionExplanation: According to the SAP clean core extensibility and ABAP cloud topic, SAP recommends using developer extensibility to enhance the existing UI for an SAP Fiori app. Developer extensibility allows you to use the UI adaptation editor in SAP Web IDE to modify the UI layout, add or remove fields, and bind them to the data model. You can also use the SAPUI5 framework to create custom controls, views, and controllers. Developer extensibility is based on the in-app extensibility concept, which means that the extensions are part of the same application and are deployed together with the app. Developer extensibility requires developer skills and access to the source code of the app.

B. TYPE DEFLOAT 16

Answer Description


Explanation:

The data type of gv_result in the assignment data (gv_result) = 1/8 will be TYPE DECFLOAT 16.This is because the assignment operator (=) in ABAP performs an implicit type conversion from the source type to the target type, according to the following rules12:

If the target type is specified explicitly, the source value is converted to the target type.

If the target type is not specified explicitly, the source type is used as the target type, unless the source type is a literal or an expression, in which case the target type is determined by the following priority order: DECFLOAT34, DECFLOAT16, P, F, I, C, N, X, STRING, XSTRING.

In this case, the target type is not specified explicitly, and the source type is an expression (1/8).Therefore, the target type is determined by the priority order, and the first matching type is DECFLOAT16, which is a decimal floating point type with 16 digits of precision12.

C. Projection View

Answer DescriptionExplanation:
A projection view is a RESTful Application Programming object that contains only the fields required for a particular app. A projection view is a CDS view entity that defines a projection on an existing CDS view entity or CDS DDIC-based view. A projection view exposes a subset of the elements of the projected entity, which are relevant for a specific business service. A projection view can also define aliases, virtual elements, and annotations for the projected elements. A projection view is the top-most layer of a CDS data model and prepares data for a particular use case. A projection view can have different provider contracts depending on the type of service it supports, such as transactional query, analytical query, or transactional interface.

A database view is a CDS DDIC-based view that defines a join or union of database tables. A database view has an SQL view attached and can be accessed by Open SQL or native SQL. A database view can be used as a projected entity for a projection view, but it does not contain only the fields required for a particular app.

A metadata extension is a RESTful Application Programming object that defines additional annotations for a CDS view entity or a projection view. A metadata extension can be used to enhance the metadata of a CDS data model without changing the original definition. A metadata extension does not contain any fields, but only annotations.

A data model view is a CDS view entity that defines a data model based on database tables or other CDS view entities. A data model view can have associations, aggregations, filters, parameters, and annotations. A data model view can be used as a projected entity for a projection view, but it does not contain only the fields required for a particular app.

A. They store information in two dimensions.
D. They can have relationships to other tables.

Answer DescriptionExplanation:

Database tables are data structures that store information in two dimensions, using rows and columns. Each row represents a record or an entity, and each column represents an attribute or a field. Database tables may have key fields, which are columns that uniquely identify each row or a subset of rows. Key fields can be used to enforce data integrity, perform efficient searches, and establish relationships to other tables. Database tables can have relationships to other tables, which are associations or links between the key fields of two or more tables. Relationships can be used to model the logical connections between different entities, join data from multiple tables, and enforce referential integrity12.

References: 1: Table (database) - Wikipedia 2: Database design basics - Microsoft Support

A. They implement code pushdown.
C. They transfer computational results to the application server.

Answer DescriptionExplanation:
Core Data Services (CDS) are preferable to the classical approach to data modeling for several reasons, but two of them are:

They implement code pushdown. Code pushdown is the principle of moving data-intensive logic from the application server to the database server, where the data resides. This reduces the data transfer between the application server and the database server, which improves the performance and scalability of the application. CDS enable code pushdown by allowing the definition of semantic data models and business logic in the database layer, using SQL and SQL-based expressions.

They transfer computational results to the application server. CDS allow the application server to access the data and the logic defined in the database layer by using Open SQL statements. Open SQL is a standardized and simplified subset of SQL that can be used across different database platforms. Open SQL statements are translated into native SQL statements by the ABAP runtime environment and executed on the database server. The results of the computation are then transferred to the application server, where they can be further processed or displayed.

B. In a sorted internal table, specifying the primary key completely.
D. In a hashed internal table, specifying the primary key partially from the left without gaps.
E. In a hashed internal table, specifying the primary key completely.

Answer DescriptionExplanation:
The access to internal tables can be optimized by using the appropriate table type and specifying the table key. The table key is a set of fields that uniquely identifies a row in the table and determines the sorting order of the table. The table key can be either the primary key or a secondary key. The primary key is defined by the table type and the table definition, while the secondary key is defined by the user using the KEY statement1.

The following results in faster access to internal tables:

B. In a sorted internal table, specifying the primary key completely. A sorted internal table is a table type that maintains a predefined sorting order, which is defined by the primary key in the table definition. The primary key can be either unique or non-unique. A sorted internal table can be accessed using the primary key or the table index. The access using the primary key is faster than the access using the table index, because the system can use a binary search algorithm to find the row. However, the primary key must be specified completely, meaning that all the fields of the primary key must be given in the correct order and without gaps2.

D. In a hashed internal table, specifying the primary key partially from the left without gaps. A hashed internal table is a table type that does not have a predefined sorting order, but uses a hash algorithm to store and access the rows. The primary key of a hashed internal table must be unique and cannot be changed. A hashed internal table can only be accessed using the primary key, not the table index. The access using the primary key is very fast, because the system can directly calculate the position of the row using the hash algorithm. The primary key can be specified partially from the left without gaps, meaning that some of the fields of the primary key can be omitted, as long as they are the rightmost fields and there are no gaps between the specified fields.

E. In a hashed internal table, specifying the primary key completely. A hashed internal table is a table type that does not have a predefined sorting order, but uses a hash algorithm to store and access the rows. The primary key of a hashed internal table must be unique and cannot be changed. A hashed internal table can only be accessed using the primary key, not the table index. The access using the primary key is very fast, because the system can directly calculate the position of the row using the hash algorithm. The primary key can be specified completely, meaning that all the fields of the primary key must be given in the correct order.

The following do not result in faster access to internal tables, because:

A. In a sorted internal table, specifying the primary key partially from the left without gaps. A sorted internal table is a table type that maintains a predefined sorting order, which is defined by the primary key in the table definition. The primary key can be either unique or non-unique. A sorted internal table can be accessed using the primary key or the table index. The access using the primary key is faster than the access using the table index, because the system can use a binary search algorithm to find the row. However, the primary key must be specified completely, meaning that all the fields of the primary key must be given in the correct order and without gaps. If the primary key is specified partially from the left without gaps, the system cannot use the binary search algorithm and has to perform a linear search, which is slower2.

C. In a standard internal table, specifying the primary key partially from the left without gaps. A standard internal table is a table type that does not have a predefined sorting order, but uses a sequential storage and access of the rows. The primary key of a standard internal table is the standard key, which consists of all the fields of the table row in the order in which they are defined. A standard internal table can be accessed using the primary key or the table index. The access using the primary key is slower than the access using the table index, because the system has to perform a linear search to find the row. The primary key can be specified partially from the left without gaps, but this does not improve the access speed, because the system still has to perform a linear search.

D. find_any_not_of( val 'ABAP ABAP abap’ sub = 'AB')

Answer DescriptionExplanation:

The function find_any_not_of returns the position of the first character in the string val that is not contained in the string sub. If no such character is found, the function returns 0. In this case, the string val contains only the characters A, B, and a, which are all contained in the string sub, so the function returns 0. The other functions return positive values, as follows:

• Count_any_of returns the number of occurrences of any character in the string sub within the string val. In this case, it returns 8, since there are 8 A’s and B’s in val.
• Count returns the number of occurrences of the string sub within the string val. In this case, it returns 2, since there are 2 AB’s in val.
• find_any_of returns the position of the first character in the string val that is contained in the string sub. In this case, it returns 1, since the first character A is in sub. References: String Functions - ABAP Keyword Documentation, Examples of String Functions - ABAP Keyword Documentation