Pass Exam With Full Sureness - C_HAMOD_2404 Dumps with 82 Questions [Q13-Q36]

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Pass Exam With Full Sureness – C_HAMOD_2404 Dumps with 82 Questions

Verified C_HAMOD_2404 dumps Q&As – 100% Pass from TestKingFree

SAP C_HAMOD_2404 Exam Syllabus Topics:

Topic	Details
Topic 1	Working with SQL and SQL Script in models: This topic delves into applying SQL and SQLScript in SAP HANA modeling.
Topic 2	Managing and administering models: The topic covers setup of modeling environment and the usage of tools for the management of data models.
Topic 3	Building calculation views: It explains the usage of all types of calculation views and nodes to build a data model.
Topic 4	Optimizing the performance of models: It focuses on building high performance models and using the available tools to monitor performance.
Topic 5	Securing models: The topic discusses the implementation of security features for the prevention of unauthorised access to data models.
Topic 6	Provisioning Data to SAP HANA: It discusses how to provision data to SAP HANA.

Q13. What are possible consequences of unfolding? Note: There are 2 correct answers to this question.

Results are read from static cache.

Count-distinct results are incorrect.

SQL compilation time increases.

Query processing time improves.

Q14. In your calculation view, you want to consume a custom data source defined using SQLScript.In which type of object do you write your code?

Scalar function

Table function

Anonymous block

Procedure

Q15. In a calculation view, your table function node executes a table function that requires input parameters. How can you fill the input parameters of the table function? Note: There are 3 correct answers to this question.

Define constant values.

Assign a hierarchy node.

Reference the output of a procedure.

Map columns from lower nodes.

Create and map an input parameter

Q16. Why do you create calculation views of data category DIMENSION with type TIME?

To add a temporal condition to a join to find matching records from two tables based on a date

To provide additional time-related navigation possibilities

To store historical versions of attributes

To provide the time intervals required by time-dependent parent-child hierarchies

Q17. Why would you implement SQL in calculation views? Note: There are 2 correct answers to this question.

To increase the possibilities for consumption

To fine-tune performance

To implement custom functions

To define dynamic analytic privileges

Q18. Why do we use Git when modeling calculation views?

To display dependencies in stacked scenarios

To automate the build process

To manage versions of source files

To enable collaboration between developers

Q19. Why would you use the Transparent Filter property in a calculation view?

To prevent filtered columns from producing incorrect aggregation results.

To improve filter performance in join node

To allow filter push-down in stacked calculation views

To ignore a filter applied to a hidden column

Q20. Why do you nest flowgraphs? Note: There are 2 correct answers to this question.

To reduce flowgraph maintenance

To access additional node types

To improve flowgraph performance

To start multiple flowgraphs at the same time

Q21. What are some best practices for writing SQLScript for use with calculation views? Note: There are 2 correct answers to this question.

Break up large statements by using variables.

Use dynamic SQL.

Control the flow logic using IF-THEN-ELSE conditions.

Choose declarative language instead of imperative language.

Q22. You define a hierarchy in a calculation view. You want to expose the hierarchy to SQL. Which of the following conditions must be met? Note: There are 2 correct answers to this question.

The hierarchy must be defined as a local hierarchy.

The hierarchy must be a shared hierarchy.

The hierarchy must be a parent-child hierarchy.

The hierarchy must be exposed by a CUBE calculation view with star join.

Q23. In a calculation view, what is the purpose of a variable?

To provide a dynamic value in a calculated column

To break up complex SQL into smaller steps

To pass values between procedures and calculation views

To filter an attribute at run-time based on a user input

Q24. What is a restricted measure?

A measure that can be consumed by a CUBE and not a DIMENSION.

A measure that is filtered by one or more attribute values.

A measure that can only be displayed by those with necessary privileges.

A measure that cannot be referenced by a calculated column.

Q25. Two calculation views, A and B, are defined as shown in the diagram. Three analytic privileges have been granted to you. When you preview calculation view A, what data do you see?

US for P1 and P2, and GE for P1 and P2

US for P1

US for P1 and GE for P1

US for P1 and P2, and GE for P2

Q26. What are the limitations of using a full outer join in a star join node? Note: There are 2 correct answers to this question.

It CANNOT be mixed in the same star join node with other join types.

Only one column can be included in the join condition.

It must appear in the last DIMENSION in the star join node.

It is restricted to one DIMENSION in a star join node.

Q27. Why do we use Git when modeling calculation views?

To display dependencies in stacked scenarios

To automate the build process

To manage versions of source files

To enable collaboration between developers

Q28. What options do you have to handle orphan nodes in your hierarchy? Note: There are 2 correct answers to this question.

Assign them to a parent determined by an expression.

Assign them to a leaf level node.

Assign them to an existing node at the root level.

Define them as additional root nodes.

Q29. What are the advantages of column store tables compared to row store tables? Note: There are 3 correct answers to this question.

Higher data compression rates

Improved write performance on frequent updates

Additional indexes are used

Parallel access is improved

Higher performance for query operations

Q30. You want to create a star schema using a calculation view. The measures are based on columns from two transaction tables. DIMENSION calculation views provide the attributes.What is the correct approach?

Combine the transaction tables using a star join node in a CUBE calculation view.
* Use a join node to join the DIMENSIONS to the resulting fact table.

Combine the transaction tables using a join node in a CUBE calculation view.
* Combine the DIMENSIONS using another join node.
* Use a star join node to combine both resulting fact and dimension tables.

Combine the transaction tables using a join node in a CUBE calculation view.
* Use a star join node to join the DIMENSIONS to the resulting fact table.

Combine the transaction tables using an aggregation node in a CUBE calculation view.
* Use a star join node to join the DIMENSIONS to the resulting fact table.

Q31. What is the recommended tool for developing cloud foundry applications?

SAP Business Application Studio

SAP HANA Cloud Central

SAP HANA Web IDE

SAP HANA cockpit

Q32. What is the default top view node for a calculation view of type CUBE?

PROJECTION

UNION

HIERARCHY

AGGREGATION

Q33. You run a CREATE REMOTE SOURCE SQL statement to create a smart data integration remote source, but the statement fails. What could be the reason? Note: There are 2 correct answers to this question.

The credentials clause defines TYPE ‘PASSWORD’ but does not specify a technical user

The remote system is not reached through the company network

You do not have the CREATE REMOTE SOURCE privilege on the remote system

The specified adapter is not registered with your SAP HANA system

Q34. You have defined a pruning configuration table in a calculation view. What are you attempting to prune from the query execution?

Data sources of unions

Joins

Calculated columns

Filters

Q35. You import a project that includes an SAP HANA database (HDB) module to your workspace. You need to create a calculation view that uses data from a table located in an external schema within the same local database.
Which of the following items do you need? Note: There are 2 correct answers to this question.

Synonym

Remote source

SQL view

Authorization

Q36. You combine two customer master data tables with a union node in a calculation view. Both master data tables include the same customer name. How do you ensure that each customer name appears only once in the results?

Define a restricted column in a union node.

Add an intersect node above the union node.

Include an aggregation node above the union node.

In the union node, map both source customer name columns to one target column.