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SAP C_ABAPD_2309 Exam Syllabus Topics:

Topic	Details
Topic 1	ABAP SQL and code pushdown: It discusses ABAP SQL, arithmetic expressions, manage dates, and create joins.
Topic 2	SAP clean core extensibility and ABAP cloud: The topic explains extension pattern, extension rules, ABAP cloud development, and ABAP cloud rules.
Topic 3	Object-oriented design: It measures your knowledge about encapsulation, upcast, inheritance, polymorphism, and interfaces. Moreover, the topic evaluates your knowledge about constructor calls, Exception classes, and singleton pattern.
Topic 4	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 5	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.

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SAP Certified Associate - Back-End Developer - ABAP Cloud Sample Questions (Q33-Q38):

NEW QUESTION # 33
Image:

In the following ABAP SQL code, what are valid case distinctions? Note: There are 2 correct answers to this question.
A)

B)

C)
D)

A. Option B
B. Option D
C. Option A
D. Option C

Answer: A,C

NEW QUESTION # 34
Which restrictions exist for ABAP SQL arithmetic expressions? Note: There are 2 correct answers to this question.

A. The operator is allowed only in floating point expressions.
B. Floating point types and integer types can NOT be used in the same expression.
C. Decimal types and integer types can NOT be used in the same expression.
D. The operator/is allowed only in floating point expressions.

Answer: A,D

Explanation:
ABAP SQL arithmetic expressions have different restrictions depending on the data type of the operands. The following are some of the restrictions:
* Floating point types and integer types can be used in the same expression, as long as the integer types are cast to floating point types using the cast function. For example, CAST ( num1 AS FLTP ) / CAST ( num2 AS FLTP ) is a valid expression, where num1 and num2 are integer types.
* The operator / is allowed only in floating point expressions, where both operands have the type FLTP or f. For example, num1 / num2 is a valid expression, where num1 and num2 are floating point types. If the operator / is used in an integer expression or a decimal expression, a syntax error occurs.
* Decimal types and integer types can be used in the same expression, as long as the expression is a decimal expression. A decimal expression has at least one operand with the type DEC, CURR, or QUAN or p with decimal places. For example, num1 + num2 is a valid expression, where num1 is a decimal type and num2 is an integer type.
* The operator ** is allowed only in floating point expressions, where both operands have the type FLTP or f. For example, num1 ** num2 is a valid expression, where num1 and num2 are floating point types.
If the operator ** is used in an integer expression or a decimal expression, a syntax error occurs.
References: sql_exp - sql_arith - ABAP Keyword Documentation, SQL Expressions, Arithmetic Calculations
- ABAP Keyword Documentation

NEW QUESTION # 35
What RESTful Application Programming object contains only the fields required for a particular app?

A. Metadata extension
B. Projection View
C. Data model view
D. Database view

Answer: B

Explanation:
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.
References: CDS Projection Views - ABAP Keyword Documentation, CDS Projection Views in ABAP CDS:
What's Your Flavor, Business Object Projection - ABAP Keyword Documentation

NEW QUESTION # 36
What are some features of a unique secondary key? Note: There are 2 correct answers to this question.

A. It is created when a table is filled.
B. It is created with the first read access of a table.
C. It is updated when the modified table is read again.
D. It is updated when the table is modified.

Answer: B,D

Explanation:
A unique secondary key is a type of secondary key that ensures that the key combination of all the rows in a table is unique. A unique secondary key has two purposes: firstly, to speed up access to the table, and secondly, to enforce data integrity1.
It is created with the first read access of a table: This is true. A unique secondary key is created when an internal table is filled for the first time using the statement READ TABLE or a similar statement. The system assigns a name and an index to each row of the table based on the key fields23.
It is updated when the modified table is read again: This is false. A unique secondary key does not need to be updated when the internal table content changes, because it already ensures data uniqueness. The system uses a lazy update strategy for non-unique secondary keys, which means that it delays updating them until they are actually accessed23.
You cannot do any of the following:
It is created when a table is filled: This is false. As explained above, a unique secondary key is created only with the first read access of a table23.
It is updated when the modified table is read again: This is false. As explained above, a unique secondary key does not need to be updated when the internal table content changes23.

NEW QUESTION # 37
In this nested join below in which way is the join evaluated?

A. From the left to the right in the order of the tables:
1.
a is joined with b
2.
b is joined with c
B. From the right to the left in the order of the tables:
1.
b is joined with c.
2.
b is joined with a.
C. From the bottom to the top in the order of the on conditions:
1.
a is joined with b
2.
b is joined with c
D. From the top to the bottom in the order of the on conditions
1.
b is joined with c
2.
a is joined with b

Answer: D

Explanation:
Explanation
The nested join is evaluated from the top to the bottom in the order of the ON conditions. This means that the join expression is formed by assigning each ON condition to the directly preceding JOIN from left to right.
The join expression can be parenthesized implicitly or explicitly to show the order of evaluation. In this case, the implicit parentheses are as follows:
SELECT * FROM (a INNER JOIN (b INNER JOIN c ON b~c = c~c) ON a~b = b~b) This means that the first join expression is b INNER JOIN c ON b~c = c~c, which joins the columns of tables b and c based on the condition that b~c equals c~c. The second join expression is a INNER JOIN (b INNER JOIN c ON b~c = c~c) ON a~b = b~b, which joins the columns of table a and the result of the first join expression based on the condition that a~b equals b~b. The final result set contains all combinations of rows from tables a, b, and c that satisfy both join conditions.
References: 1: SELECT, FROM JOIN - ABAP Keyword Documentation - SAP Online Help

NEW QUESTION # 38
......

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C_ABAPD_2309 Exam Questions - C_ABAPD_2309 Guide Torrent & C_ABAPD_2309 Test Torrent

SAP C_ABAPD_2309 Exam Syllabus Topics:

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SAP Certified Associate - Back-End Developer - ABAP Cloud Sample Questions (Q33-Q38):

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