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C_ABAPD_2309 Practice Questions

Question # 1
As a consultant you are posed the following question from a client who is using SAP S/4HANA Cloud, public edition and also SAP BTP, ABAP environment. "We are currently using an SAP Fiori app based on SAP Fiori elements that analyzes open orders. We have determined that it should be extended via a new button on the UI which will perform an on- the-fly calculation and display the result in a quick popup for the enduser. We have been informed by SAP that all underlying stack layers for the SAP Fiori app have been extensibility enabled." Based on this which of the following extension types would you recommend to the customer to add the new button?
A. RAP BO Behavior Extension
B. SAP HANA database table extension
C. RAP BO Node Extension
D. Business Service Extension


C. RAP BO Node Extension



Question # 2
Which internal table type allows unique and non-unique keys?
A. Sorted
B. Hashed
C. Standard


C. Standard

Explanation:

The internal table type that allows both unique and non-unique keys is the standard table. A standard table has an internal linear index that can be used to access the table entries. The key of a standard table is always non-unique, which means that the table can contain duplicate entries. However, the system does not check the uniqueness of the key when inserting new entries, so the programmer can ensure that the key is unique by using appropriate logic. A standard table can be accessed either by using the table index or the key, but the response time for key access is proportional to the table size.

The other two internal table types, sorted and hashed, do not allow non-unique keys. A sorted table is filled in sorted order according to the defined table key, which must be unique. A sorted table can be accessed either by using the table index or the key, but the response time for key access is logarithmically proportional to the table size. A hashed table can only be accessed by using a unique key, which must be specified when declaring the table. A hashed table has no index, and the response time for key access is constant, regardless of the table size.

References: Internal Tables - ABAP Keyword Documentation, SAP ABAP: Types Of Internal Table Declaration - dan852.com


Question # 3
Which extensibility type does SAP recommend you use to enhance the existing UI for an SAP Fiori app?
A. Classic
B. Key user
C. Side-by-side
D. Developer


D. Developer

Explanation: 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.


Question # 4
When does SAP recommend to use a sorted or a hashed table respectively? Note: There are 2 correct answers to this question.
A. A hashed table, when you read a single record and specify the complete key.
B. A hashed table, when you read a subset in a loop and specify a part of the key from the left without gaps.
C. A sorted table, when you read a subset in a loop and specify a part of the key from the left ^ without gaps.
D. A sorted table, when you read a single record and specify non key fields.


A. A hashed table, when you read a single record and specify the complete key.
B. A hashed table, when you read a subset in a loop and specify a part of the key from the left without gaps.



Question # 5
Which of the following results in faster access to internal tables?
Note: There are 3 correct answers to this question.
A. In a sorted internal table, specifying the primary key partially from the left without gaps.
B. In a sorted internal table, specifying the primary key completely.
C. In a standard internal table, specifying the primary key partially from the left without gaps.
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.


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.

Explanation:
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.


Question # 6
For what kind of applications would you consider using on-stack developer extensions?
Note: There are 2 correct answers to this question.
A. Applications that provide APIs for side by side SAP BTP apps
B. Applications that access SAP S/4HANA data using complex SQL
C. Applications that integrate data from several different systems
D. Applications that run separate from SAP S/4HANA


A. Applications that provide APIs for side by side SAP BTP apps
B. Applications that access SAP S/4HANA data using complex SQL

Explanation:
On-stack developer extensibility is a type of extensibility that allows you to create development projects directly on the SAP S/4HANA Cloud technology stack. It gives you the opportunity to develop cloud-ready and upgrade-stable custom ABAP applications and services inside the SAP S/4HANA Cloud, public edition system. You can use the ABAP Development Tools in Eclipse to create and deploy your on-stack extensions. On-stack developer extensibility is suitable for the following kinds of applications:

Applications that provide APIs for side by side SAP BTP apps. On-stack developer extensibility allows you to create OData services or RESTful APIs based on CDS view entities or projection views. These services or APIs can expose SAP S/4HANA data and logic to other applications that run on the SAP Business Technology Platform (SAP BTP) or other platforms. This way, you can create a loosely coupled integration between your SAP S/4HANA system and your side by side SAP BTP apps.

Applications that access SAP S/4HANA data using complex SQL. On-stack developer extensibility allows you to use ABAP SQL to access SAP S/4HANA data using complex queries, such as joins, aggregations, filters, parameters, and code pushdown techniques. You can also use ABAP SQL to perform data manipulation operations, such as insert, update, delete, and upsert. This way, you can create applications that require advanced data processing and analysis on SAP S/4HANA data.

The other kinds of applications are not suitable for on-stack developer extensibility, as they have different requirements and challenges. These kinds of applications are:

Applications that integrate data from several different systems. On-stack developer extensibility is not meant for creating applications that integrate data from multiple sources, such as other SAP systems, third-party systems, or cloud services. This is because on-stack developer extensibility does not support remote access or data replication, and it may cause performance or security issues. For this kind of applications, you should use side by side extensibility, which allows you to create applications that run on the SAP BTP and communicate with the SAP S/4HANA system via public APIs or events.

Applications that run separate from SAP S/4HANA. On-stack developer extensibility is not meant for creating applications that run independently from the SAP S/4HANA system, such as standalone apps, microservices, or web apps. This is because on-stack developer extensibility requires a tight coupling with the SAP S/4HANA system, and it may limit the scalability, flexibility, and portability of the applications. For this kind of applications, you should use side by side extensibility, which allows you to create applications that run on the SAP BTP and leverage the cloud-native features and services of the platform.


Question # 7
What RESTful Application Programming object contains only the fields required for a particular app?
A. Database view
B. Metadata extension
C. Projection View
D. Data model view


C. Projection View

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.


Question # 8
Which restrictions exist for ABAP SQL arithmetic expressions? Note: There are 2 correct answers to this question.
A. Floating point types and integer types can NOT be used in the same expression.
B. The operator/is allowed only in floating point expressions.
C. Decimal types and integer types can NOT be used in the same expression.
D. The operator is allowed only in floating point expressions.


B. The operator/is allowed only in floating point expressions.
D. The operator is allowed only in floating point expressions.

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


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Exam Name: SAP Certified Associate - Back-End Developer - ABAP Cloud
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