Exam C-ABAPD-2507 Topic 5 Question 72 Discussion

Actual exam question for SAP's C-ABAPD-2507 exam
Question #: 72
Topic #: 5
Given the following ABAP SQL statement excerpt from an ABAP program:
SELECT SINGLE *
FROM spfli
WHERE carrid = 'LH' AND connid = '0400'
INTO @DATA(wa).
You are given the following information:
* The data source spfli on line #2 is an SAP HANA database table.
* spfli will be a large table with over one million rows.
* This program is the only one in the system that accesses the table.
* 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.

Suggested Answer: A,D Vote an answer

Comprehensive and Detailed Explanation From Exact Extract:
In SAP HANA, the choice of storage type and load unit depends on access patterns, table size, and usage frequency.
Here's how each part applies:
* A. "Storage Type" to "Row Store" - This is correct.Since:
* The table is accessed by only one program.
* The program runs rarely.
* The access pattern is row-oriented (SELECT SINGLE with filters).
Row store is more suitable for rare access with small result sets and no aggregation.
* D. "Load Unit" to "Page Loadable" - This is correct.Since the program runs infrequently, loading the entire column into memory (column loadable) is not efficient. Page-loadable units load only required parts into memory on demand, which reduces memory footprint.
Incorrect options:
* B. "Storage Type" to "Column Store" - Incorrect here. Column store is ideal for frequent reads, aggregations, or analytics, not for rarely accessed tables with simple lookups.
* C. "Load Unit" to "Column Loadable" - Also not optimal for rarely accessed data. Column loadable preloads entire columns into memory, which is memory-intensive and unnecessary in this case.
Reference:ABAP CDS Development Guide and SAP HANA Table Storage Guidelines - Recommended storage strategies based on access pattern, frequency, and usage role.

by Brook at Oct 15, 2026, 05:18 AM

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