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SAP C_HAMOD_2404 Exam Syllabus Topics:

Topic
Details

Topic 1

Provisioning Data to SAP HANA: It discusses how to provision data to SAP HANA.

Topic 2

Securing models: The topic discusses the implementation of security features for the prevention of unauthorised access to data models.

Topic 3

Optimizing the performance of models: It focuses on building high performance models and using the available tools to monitor performance.

Topic 4

Working with SQL and SQL Script in models: This topic delves into applying SQL and SQLScript in SAP HANA modeling.

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SAP Certified Associate - Data Engineer - SAP HANA Sample Questions (Q65-Q70):

NEW QUESTION # 65
What are the limitations of using a full outer join in a star join node? Note: There are 2 correct answers to this question.

A. It is restricted to one DIMENSION in a star join node.
B. It CANNOT be mixed in the same star join node with other join types.
C. Only one column can be included in the join condition.
D. It must appear in the last DIMENSION in the star join node.

Answer: A,D

Explanation:
The limitations of using a full outer join in a star join node include:
* It must appear in the last DIMENSION in the star join node (C):Full outer joins can only be implemented on the last dimension table in the star join node due to the complex nature of the resulting data set. This restriction ensures data integrity and predictable query results.
* It is restricted to one DIMENSION in a star join node (D):Full outer joins cannot be used across multiple dimensions in a single star join node, limiting their scope to a specific table-to-table relationship within the star join design.

NEW QUESTION # 66
A calculation view includes a rank node that uses the source data and settings shown in the graphic.

Your query requests all columns of the rank node.How many rows are in the output of your query?

A. 0
B. 1
C. 2
D. 3

Answer: B

NEW QUESTION # 67
You are managing your source files using Git. In which sequence does your file progress towards a COMMIT?

A. Working directory -> Local Git repository -> Staging area
B. Staging area -> Working directory -> Local Git repository
C. Working directory -> Staging area -> Local Git repository
D. Local Git repository -> Staging area -> Working directory

Answer: C

NEW QUESTION # 68
What are possible consequences of unfolding? Note: There are 2 correct answers to this question.

A. Results are read from static cache.
B. SQL compilation time increases.
C. Query processing time improves.
D. Count-distinct results are incorrect.

Answer: B,D

Explanation:
Unfolding is a query optimization technique where parts of a calculation view are translated into SQL.
Consequences include:
* Count-distinct results are incorrect (B):The unfolding process may not preserve distinct counting logic correctly, potentially leading to inaccuracies.
* SQL compilation time increases (C):The complexity of unfolded SQL queries can lead to longer compilation times due to the intricate relationships and data structures involved.
Option A is incorrect because unfolding does not relate to static caching, and D is partially correct but not as significant as B and C.

NEW QUESTION # 69
Which type of join supports a temporal condition in a calculation view?

A. Text join
B. Left outer join
C. Inner join
D. Referential join

Answer: C

Explanation:
AnInner Joinsupports temporal conditions in SAP HANA calculation views. Temporal conditions involve filtering data based on time-based attributes, such as effective dates or validity periods. Inner joins are capable of including such conditions directly in the join logic to ensure that only matching records based on the temporal criteria are included in the results.

NEW QUESTION # 70
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Jack Foster Jack Foster

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