Question # 1
Which patterns raise an exception?
Note: There are 3 correct answers to this question.
| | A. DATA: gv_target TYPE p DECIMALS 2. CONSTANTS: go intl TYPE i VALUE 3. gv_target -U EXACT (2 gcojntl).
| | B. DATA: gv_target TYPE string. □ CONSTANTS: gco_string TYPE LENGTH 16 VALUE 0123456789ABCDEF*. gv_target = EXACT # gco_string+5 (5) ). | | C. DATA: gv_target TYPE c LENGTH 5. V □ CONSTANTS: ECO string TYPE string VALUE 0123456789ABCDEF". gv_target - EXACT (gco_string + 5 (6) ). | | D. DATA: Ev target TYPE p DECIMALS 3. CONSTANTS: gcojntl TYPE i VALUE 2. Ev_target -U EXACT #2 / gcojntl ). | | E. DATA: gv_target TYPE d. s/ □ CONSTANTS: gco_date TYPE d VALUE '20331233*. gv_target EXACT ( geo_date). |
A. DATA: gv_target TYPE p DECIMALS 2. CONSTANTS: go intl TYPE i VALUE 3. gv_target -U EXACT (2 gcojntl).
C. DATA: gv_target TYPE c LENGTH 5. V □ CONSTANTS: ECO string TYPE string VALUE 0123456789ABCDEF". gv_target - EXACT (gco_string + 5 (6) ).
E. DATA: gv_target TYPE d. s/ □ CONSTANTS: gco_date TYPE d VALUE '20331233*. gv_target EXACT ( geo_date).
Explanation:
The patterns that raise an exception are those that use the constructor operator EXACT to perform a lossless assignment or calculation, but the result cannot be converted to the target data type without data loss. The following are the explanations for each pattern:
A: This pattern raises the exception CX_SY_CONVERSION_LOST because the result of the calculation 2 * 3 is 6, which cannot be assigned to a packed number with two decimal places without losing the integer part. The operator -U is used to perform a lossless calculation with the calculation type decfloat34.
B: This pattern does not raise an exception because the result of the substring expression gco_string+5(5) is ‘6789A’, which can be assigned to a string without data loss. The operator EXACT # is used to perform a lossless assignment with the data type of the argument.
C: This pattern raises the exception CX_SY_CONVERSION_LOST because the result of the substring expression gco_string+5(6) is ‘6789AB’, which cannot be assigned to a character field with length 5 without losing the last character. The operator EXACT is used to perform a lossless assignment with the data type of the target field.
D: This pattern does not raise an exception because the result of the calculation 2 / 2 is 1, which can be assigned to a packed number with three decimal places without data loss. The operator -U is used to perform a lossless calculation with the calculation type decfloat34.
E: This pattern raises the exception CX_SY_CONVERSION_ERROR because the constant gco_date contains an invalid value ‘20331233’ for a date data type, which cannot be converted to a valid date. The operator EXACT is used to perform a lossless assignment with the data type of the target field.
Question # 2
| 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
Question # 3
| In RESTful Application Programming, which EML statement retrieves an object?
| | A. Find entity
| | B. Select entity
| | C. Get entity
| | D. Read entity
|
C. Get entity
Explanation:
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.
Question # 4
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 # 5
| Which function call returns 0? | | A. Count_any_of ( val - ‘ABAP ABAP abap' sub "AB" ) | | B. Count (val - 'ABAP ABAP abap' sub - 'AB' ) | | C. find_any_of (val = "ABAP ABAP abap' sub = "AB") | | D. find_any_not_of( val 'ABAP ABAP abap’ sub = 'AB') |
D. find_any_not_of( val 'ABAP ABAP abap’ sub = 'AB')
Explanation:
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
Question # 6
| Which of the following are ABAP Cloud Development Model rules?
Note: There are 2 correct answers to this question. | | A. Use public SAP APIs and SAP extension points. | | B. Build ABAP RESTful application programming model-based services. | | C. Reverse modifications when a suitable public SAP API becomes available. | | D. Build ABAP reports with either ABAP List Viewer (ALV) or SAP Fiori. |
A. Use public SAP APIs and SAP extension points.
Explanation: -
Use public SAP APIs and SAP extension points. This rule ensures that the ABAP Cloud code is stable, reliable, and compatible with the SAP solutions and the cloud operations. Public SAP APIs and SAP extension points are the only allowed interfaces and objects to access the SAP platform and the SAP applications. They are documented, tested, and supported by SAP. They also guarantee the lifecycle stability and the upgradeability of the ABAP Cloud code1.
-
Build ABAP RESTful application programming model-based services. This rule ensures that the ABAP Cloud code follows the state-of-the-art development paradigm for building cloud-ready business services. The ABAP RESTful application programming model (RAP) is a framework that provides a consistent end-to-end programming model for creating, reading, updating, and deleting (CRUD) business data. RAP also supports draft handling, authorization checks, side effects, validations, and custom actions. RAP exposes the business services as OData services that can be consumed by SAP Fiori apps or other clients2.
Question # 7
Refer to exhibit.
To adhere to the most recent ABAP SQL syntax conventions from SAP, on which line must you insert the 'INTO TABLE @gt flights' clause to complete the SQL statement? | | A. #15 | | B. #4 | | C. #6 | | D. #8 |
B. #4
Explanation:
To adhere to the most recent ABAP SQL syntax conventions from SAP, you must insert the ''INTO TABLE @gt flights'' clause on line #4 to complete the SQL statement. This is because the INTO or APPENDING clause should be specified immediately after the SELECT clause, according to the ABAP SQL syntax conventions1. The INTO or APPENDING clause defines the data object to which the results set of the SELECT statement is assigned. The data object can be an internal table, a work area, or an inline declaration. In this case, the data object is an internal table named gt_flights, which is created using the inline declaration operator @DATA.The inline declaration
operator allows you to declare and create a data object in the same statement where it is used, without the need for a separate DATA statement2.
The other lines are not suitable for inserting the ''INTO TABLE @gt flights'' clause, as they would violate the ABAP SQL syntax conventions or cause syntax errors. These lines are:
#6: This line is not suitable for inserting the ''INTO TABLE @gt flights'' clause, as it would cause a syntax error. This is because the FROM clause must be specified before the INTO or APPENDING clause, according to the ABAP SQL syntax conventions1. The FROM clause defines the data sources from which the data is read, such as database tables, CDS view entities, or CDS DDIC-based views. In this case, the data source is the database table flights.
#8: This line is not suitable for inserting the ''INTO TABLE @gt flights'' clause, as it would cause a syntax error. This is because the ORDER BY clause must be specified after the INTO or APPENDING clause, according to the ABAP SQL syntax conventions1. The ORDER BY clause defines the sort order of the results set of the SELECT statement. In this case, the results set is sorted by the fields carrid, connid, and fltime.
#15: This line is not suitable for inserting the ''INTO TABLE @gt flights'' clause, as it would violate the ABAP SQL syntax conventions. This is because the INTO or APPENDING clause should be specified as close as possible to the SELECT clause, according to the ABAP SQL syntax conventions1. The INTO or APPENDING clause should not be separated from the SELECT clause by other clauses, such as the WHERE clause, the GROUP BY clause, the HAVING clause, the UNION clause, or the ORDER BY clause. This is to improve the readability and maintainability of the ABAP SQL statement.
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