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SAP C-ABAPD-2309 Exam Syllabus Topics:

Topic	Details
Topic 1	ABAP RESTful Application Programming Model: This topic explains the ABAP Restful Application Programming model, ABAP development, and the architecture of the ABAP Restful Application Programming model.
Topic 2	Core ABAP programming: This topic covers ABAP data types, the ABAP dictionary, modularization, exceptions, and logical expressions, operator precedence.
Topic 3	ABAP core data services and data modeling: It focuses on Core Data Services (CDS) views, SAP HANA database tables, foreign key relationships, and annotations.
Topic 4	ABAP SQL and code pushdown: It discusses ABAP SQL, arithmetic expressions, manage dates, and create joins.
Topic 5	SAP clean core extensibility and ABAP cloud: The topic explains extension pattern, extension rules, ABAP cloud development, and ABAP cloud rules.

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SAP Certified Associate - Back-End Developer - ABAP Cloud Sample Questions (Q64-Q69):

NEW QUESTION # 64
You are given the following information:

1.
The data source "spfli" on line #2 is an SAP HANA
database table
2.
"spfli" will be a large table with over one million rows.
3.
This program is the only one in the system that accesses
the table.
4.
This program will run rarely.
Based on this information, which of the following general
settings should you set for the spfli database table? Note:
There are 2 correct answers to this question.

A. "Load Unit to "Column Loadable"
B. "Load Unit' to 'Page Loadable"
C. "Storage Type" to "Column Store"
D. "Storage Type" to "Row Store"

Answer: B,D

Explanation:
Based on the given information, the spfli database table should have the following general settings:
* "Storage Type" to "Row Store": This setting determines how the data is stored in the SAP HANA database. Row store is suitable for tables that are accessed by primary key or by a small number of columns. Column store is suitable for tables that are accessed by a large number of columns or by complex analytical queries. Since the spfli table is a large table with over one million rows, and this program is the only one in the system that accesses the table, it is likely that the program will use primary key access or simple queries to access the table. Therefore, row store is a better choice than column store for this table12.
* "Load Unit" to "Page Loadable": This setting determines how the data is loaded into the memory when the table is accessed. Page loadable means that the data is loaded in pages of 16 KB each, and only the pages that are needed are loaded. Column loadable means that the data is loaded in columns, and only the columns that are needed are loaded. Since the spfli table is a row store table, and this program will run rarely, it is more efficient to use page loadable than column loadable for this table. Page loadable will reduce the memory consumption and the loading time of the table13.
References: 1: Table Types in SAP HANA | SAP Help Portal 2: [Row Store vs Column Store in SAP HANA | SAP Blogs] 3: [Load Unit | SAP Help Portal]

NEW QUESTION # 65
Which of the following are parts of answers to this question.

A. Field list
B. Extension
C. Partitioning attributes
D. Semantic table attributes

Answer: A,B

Explanation:
A CDS view is a data definition that defines a data structure and a data selection from one or more data sources. A CDS view consists of several parts, but two of them are:
* Extension: An extension is an optional clause that allows a CDS view to extend another CDS view by adding new elements, annotations, or associations. The extension clause has the syntax EXTEND VIEW view_name WITH view_name. The first view_name is the name of the CDS view that is being extended, and the second view_name is the name of the CDS view that is doing the extension1.
* Field list: A field list is a mandatory clause that specifies the elements of the CDS view. The field list has the syntax SELECT FROM data_source { element_list }. The data_source is the name of the data
* source that the CDS view selects data from, and the element_list is a comma-separated list of elements that the CDS view exposes. The elements can be fields of the data source, expressions, associations, or annotations2.
The following example shows a CDS view that extends another CDS view and defines a field list:
@AbapCatalog.sqlViewName: 'ZCDS_EXT' define view Z_CDS_Extension extend view Z_CDS_Base with Z_CDS_Extension as select from ztable { // field list key ztable.id as ID, ztable.name as Name, ztable.age as Age, // extension @Semantics.currencyCode: true ztable.currency as Currency } The other options are not parts of a CDS view, but rather related concepts:
* Partitioning attributes: Partitioning attributes are attributes that are used to partition a table into smaller subsets of data. Partitioning attributes are defined in the ABAP Dictionary for transparent tables and can improve the performance and scalability of data access. Partitioning attributes are not part of the CDS view definition, but rather the underlying table definition3.
* Semantic table attributes: Semantic table attributes are attributes that provide additional information about the meaning and usage of a table. Semantic table attributes are defined in the ABAP Dictionary for transparent tables and can be used to enhance the data modeling and consumption of the table. Semantic table attributes are not part of the CDS view definition, but rather the underlying table definition4.
References: 1: Extending CDS Views | SAP Help Portal 2: SELECT List - ABAP Keyword Documentation 3:
Partitioning Attributes - ABAP Keyword Documentation 4: Semantic Table Attributes - ABAP Keyword Documentation

NEW QUESTION # 66
In class ZCL_CLASS_A, you use the statement DATA var TYPE ***
What may stand in place of ***? Note: There are 2 correct answers to this question.

A. The name of a data element from the ABAP Dictionary
B. The name of a type defined privately in class ZCL_CLASS_A
C. The name of a domain from the ABAP Dictionary
D. The name of a type defined privately in another class

Answer: A,C

Explanation:
In class ZCL_CLASS_A, you use the statement DATA var TYPE *** to declare a data object named var with a data type specified by ***. The data type can be any of the following1:
* A predefined ABAP type, such as i, f, c, string, xstring, and so on.
* A data element from the ABAP Dictionary, such as matnr, carrid, bukrs, and so on. A data element defines the semantic and technical attributes of a data field, such as the domain, the length, the data type, the description, and the value range2.
* A domain from the ABAP Dictionary, such as matnr_d, carrid_d, bukrs_d, and so on. A domain defines the technical attributes of a data field, such as the data type, the length, the output length, the number of decimal places, and the value range3.
* A type defined globally in a class, an interface, or a type pool, such as zcl_class_b=>type_a, zif_interface_c=>type_b, ztype_pool_d=>type_c, and so on. A global type is a type that is defined in a global repository object and can be used in any program or class4.
* A type defined locally in the current class, such as type_a, type_b, type_c, and so on. A local type is a type that is defined in the declaration part of a class and can only be used within the class5.
Therefore, the possible values for *** are B. the name of a data element from the ABAP Dictionary and D.
the name of a domain from the ABAP Dictionary. The other options are not valid because:
* A. The name of a type defined privately in class ZCL_CLASS_A is a local type and cannot be used with the DATA statement. A local type can only be used with the TYPES statement5.
* C. The name of a type defined privately in another class is a private type and cannot be accessed from outside the class. A private type can only be used within the class that defines it.
References: 1: DATA - ABAP Keyword Documentation 2: Data Elements - ABAP Dictionary - SAP Online Help 3: Domains - ABAP Dictionary - SAP Online Help 4: Global Types - ABAP Keyword Documentation 5: Local Types - ABAP Keyword Documentation : Private Types - ABAP Keyword Documentation

NEW QUESTION # 67
Exhibit

Which of the following ABAP SQL snippets are syntactically correct ways to provide a value for the parameter on line #4? Note: There are 2 correct answers to this question

A. ...SELECT * FROM deno_cds_param_view_entity (p_date = @
(cl_abap_context_info->get_system_date ())...
B. ...SELECT * FROM demo_cds_param_view_entity (p_date: 20238181')... )
C. ...SELECT * FROM deno_cds_param_view_entity (p_date - '20230101')... )
D. ...SELECT * FROM demo_cds_param_view entity (p_date: $session.system_date)...

Answer: A,C

NEW QUESTION # 68
Given the following Core Data Service View Entity Data Definition:
1 @AccessControl.authorizationCheck: #NOT_REQUIRED
2 DEFINE VIEW ENTITY demo_flight_info_join
3 AS SELECT
4 FROM scarr AS a
5 LEFT OUTER JOIN scounter AS c
6 LEFT OUTER JOIN sairport AS p
7 ON p.id = c.airport
8 ON a.carrid = c.carrid
9 {
10 a.carridAS carrier_id,
11 p.idAS airport_id,
12 c.countnumAS counter_number
13 }
In what order will the join statements be executed?

A. sairport will be joined to scounter first and the result will be joined with scarr.
B. scarr will be joined with scounter first and the result will be joined with sairport.
C. scarr will be joined with sairport first and the result will be joined with scounter.
D. scounter will be joined to sairport first and the result will be joined with scarr.

Answer: B

Explanation:
Explanation
The order in which the join statements will be executed is:
scarr will be joined with scounter first and the result will be joined with sairport.
This is because the join statements are nested from left to right, meaning that the leftmost data source is joined with the next data source, and the result is joined with the next data source, and so on. The join condition for each pair of data sources is specified by the ON clause that follows the data source name. The join type for each pair of data sources is specified by the join operator that precedes the data source name. In this case, the join operator is LEFT OUTER JOIN, which means that all the rows from the left data source are included in the result, and only the matching rows from the right data source are included. If there is no matching row from the right data source, the corresponding fields are filled with initial values1.
Therefore, the join statements will be executed as follows:
First, scarr AS a will be joined with scounter AS c using the join condition a.carrid = c.carrid. This means that all the rows from scarr will be included in the result, and only the rows from scounter that have the same value for the carrid field will be included. If there is no matching row from scounter, the countnum field will be filled with an initial value.
Second, the result of the first join will be joined with sairport AS p using the join condition p.id = c.airport. This means that all the rows from the first join will be included in the result, and only the rows from sairport that have the same value for the id field as the airport field from the first join will be included. If there is no matching row from sairport, the id field will be filled with an initial value.
References: 1: Join - ABAP Keyword Documentation

NEW QUESTION # 69
......

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TEST C-ABAPD-2309 PREP, C-ABAPD-2309 LATEST TEST ONLINE

Test C-ABAPD-2309 Prep, C-ABAPD-2309 Latest Test Online