PRACTICE C_HAMOD_2404 EXAM PDF & VALID EXAM C_HAMOD_2404 BRAINDUMPS

Practice C_HAMOD_2404 Exam Pdf & Valid Exam C_HAMOD_2404 Braindumps

Practice C_HAMOD_2404 Exam Pdf & Valid Exam C_HAMOD_2404 Braindumps

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SAP C_HAMOD_2404 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Configuring modeling functions: This topic covers the implementation of common calculation view modeling functions.
Topic 2
  • Working with SQL and SQL Script in models: This topic delves into applying SQL and SQLScript in SAP HANA modeling.
Topic 3
  • Provisioning Data to SAP HANA: It discusses how to provision data to SAP HANA.
Topic 4
  • Securing models: The topic discusses the implementation of security features for the prevention of unauthorised access to data models.
Topic 5
  • Building calculation views: It explains the usage of all types of calculation views and nodes to build a data model.

SAP Certified Associate - Data Engineer - SAP HANA Sample Questions (Q47-Q52):

NEW QUESTION # 47
You have configured static cache for your calculation view and run a query against it, but the cache results are not being used.What might be the reason for this?

  • A. The query requests only a subset of the cached results.
  • B. The cache data retention period has expired.
  • C. You did not define a filter in the cache setting.
  • D. You did not define any columns in the cache setting.

Answer: D


NEW QUESTION # 48
You have configured static cache for your calculation view and run a query against it, but the cache results are not being used. What might be the reason for this?

  • A. The query requests only a subset of the cached results.
  • B. The cache data retention period has expired.
  • C. You did not define a filter in the cache setting.
  • D. Your cache setting does not specify any columns.

Answer: C


NEW QUESTION # 49
Which of the following techniques can you use to improve the performance of calculation views? Note: There are 2 correct answers to this question.

  • A. Limit the number of stacked calculation views.
  • B. Avoid union pruning.
  • C. Aggregate data early in the data flow.
  • D. Partition large tables.

Answer: A,D

Explanation:
* Partition large tables (B):Partitioning tables allows for parallel processing of data subsets, significantly improving query execution times.
* Limit the number of stacked calculation views (C):Reducing layers of calculation views minimizes complexity and execution overhead, leading to better performance.
Options A and D are incorrect or less effective. Union pruning should be enabled to improve performance, and while aggregating data early can sometimes be beneficial, it is not universally optimal for performance tuning.


NEW QUESTION # 50
What are some of the restrictions that apply when defining parallelization blocks in calculation views? Note:
There are 2 correct answers to this question.

  • A. The block must start with a node that defines a table as a data source.
  • B. Multiple blocks can be defined only within a single calculation view.
  • C. The block must have only one start node.
  • D. Only one block can be defined across a stack of calculation views.

Answer: A,D

Explanation:
The block must start with a node that defines a table as a data source (C):Parallelization blocks are designed to work with table-based nodes as starting points for splitting workloads.
Only one block can be defined across a stack of calculation views (D):This restriction ensures consistency and avoids conflicts during parallel execution.


NEW QUESTION # 51
Why would you implement SQL in calculation views? Note: There are 2 correct answers to this question.

  • A. To increase the possibilities for consumption
  • B. To fine-tune performance
  • C. To define dynamic analytic privileges
  • D. To implement custom functions

Answer: B,C

Explanation:
* To fine-tune performance (B):Implementing SQL in calculation views can help optimize performance by leveraging advanced SQL features and minimizing unnecessary data movement.
* To define dynamic analytic privileges (D):SQL enables the implementation of conditions for dynamic analytic privileges, ensuring fine-grained and context-sensitive data access.
Options A and C are less relevant as SQL is not primarily for expanding consumption possibilities or implementing functions, which are handled by other mechanisms in SAP HANA.


NEW QUESTION # 52
......

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