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SAP Certified Associate - Data Engineer - Data Fabric Sample Questions (Q42-Q47):
NEW QUESTION # 42
Which of the following are possible delta-specific fields for a generic DataSource in SAP S/4HANA? Note:
There are 3 correct answers to this question.
- A. Numeric pointer
- B. Time stamp
- C. Calendar day
- D. Request ID
- E. Record mode
Answer: A,B,C
Explanation:
* Calendar Day (Answer A):
* Can be used as a delta-specific field to track changes based on date.
* Numeric Pointer (Answer C):
* Tracks incremental changes using numerical increments.
* Time Stamp (Answer E):
* Enables precise tracking of delta changes using exact time values.
* Request ID (Option B):Not relevant for delta-specific tracking.
* Record Mode (Option D):Used for determining operation types (insert, delete, update), not for delta tracking.
Incorrect Options:References:
* SAP S/4HANA Generic Delta Management Documentation
* SAP BW/4HANA Delta-Specific Fields Overview
NEW QUESTION # 43
Which modeling decisions may have side effects on runtime performance? Note: There are 3 correct answers to this question.
- A. Move a characteristic within a DataMart DataStore object to a different group.
- B. Use a transitive attribute instead of an attribute that is directly assigned to a characteristic.
- C. Uncheck the "Write change log" property for a Stard DataStore Object.
- D. Include a characteristic from the underlying DataMart DataStore Object in the CompositeProvider instead of a navigation attribute.
- E. Change a time-independent attribute of a characteristic to a time-dependent attribute.
Answer: B,C,D
Explanation:
When modeling data in SAP BW/4HANA, certain decisions can have significant side effects on runtime performance. Let's analyze each option:
* Option A: Use a transitive attribute instead of an attribute that is directly assigned to a characteristic.
Transitive attributes are derived attributes that depend on other attributes in the data model. Using a transitive attribute instead of a directly assigned attribute introduces additional complexity during query execution because the system must calculate the value dynamically based on the underlying relationships. This can lead to slower query performance, especially for large datasets.
* Option B: Uncheck the "Write change log" property for a Standard DataStore Object.Disabling the
"Write change log" property improves performance rather than degrading it. By not writing changes to the change log, the system reduces the overhead associated with tracking historical data. Therefore, this decision does not negatively impact runtime performance.
* Option C: Move a characteristic within a DataMart DataStore object to a different group.Moving a characteristic to a different group within a DataMart DataStore Object primarily affects the logical organization of data but does not directly impact runtime performance. The physical storage and query execution remain unaffected by such changes.
* Option D: Change a time-independent attribute of a characteristic to a time-dependent attribute.
Converting a time-independent attribute to a time-dependent one introduces additional complexity into the data model. Time-dependent attributes require the system to manage multiple versions of the attribute over time, which increases the volume of data and thecomputational effort required for queries.
This can significantly degrade runtime performance, especially for queries involving large datasets or frequent updates.
* Option E: Include a characteristic from the underlying DataMart DataStore Object in the CompositeProvider instead of a navigation attribute.Including a characteristic directly from the underlying DataMart DataStore Object in the CompositeProvider can improve performance compared to using a navigation attribute. Navigation attributes require additional joins during query execution, which can slow down performance. However, if the question implies replacing a navigation attribute with a direct characteristic, this decision can have positive performance implications. Conversely, if the reverse is implied (using navigation attributes instead of direct characteristics), it would degrade performance.
* SAP BW/4HANA Modeling Guide: Explains the impact of transitive attributes, time-dependent attributes, and navigation attributes on query performance.
* SAP Help Portal: Provides detailed documentation on best practices for optimizing data models in SAP BW/4HANA.
* SAP Community Blogs: Experts often discuss the performance implications of various modeling decisions in real-world scenarios.
References:In summary, options A, D, and E involve modeling decisions that can negatively impact runtime performance due to increased computational complexity or additional joins during query execution.
NEW QUESTION # 44
Which external hierarchy properties can be changed in the query definition?
- A. Expand to level
- B. Position of child nodes
- C. Sort direction
- D. Allow temporal hierarchy join
- E. Time dependency
Answer: A,B,C
NEW QUESTION # 45
You created an Open ODS view of type Facts.
With which object types can you associate a field in the Characteristics folder? Note: There are 2 correct answers to this question.
- A. Open ODS view of type Facts
- B. Open ODS view of type Master Data
- C. HDI Calculation View of data category Dimension
- D. InfoObject of type Characteristic
Answer: B,D
NEW QUESTION # 46
You want to build an SAP HANA HDI calculation view of data category CUBE, but you get the "no measure defined" error. For the business requirement, a measure does not make sense. Besides changing the data category to DIMENSION, what do you have to do?
- A. Switch from an aggregation node to a star join node
- B. Switch from an aggregation node to a projection node
- C. Switch form a projection node to an aggregation node
- D. Switch from a projection node to a star join node
Answer: B
NEW QUESTION # 47
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