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Die seit kurzem aktuellsten SAP C-SAC-2415 Prüfungsunterlagen, 100% Garantie für Ihen Erfolg in der Prüfungen!

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SAP C-SAC-2415 Prüfungsplan:

Thema
Einzelheiten

Thema 1

Story Design: This section assesses the skills of data analysts and report designers. It includes the design and presentation of stories within SAC, with a focus on configuring story elements such as pages, tables, charts, and widgets.

Thema 2

Data Modeling, Analysis, and Integration: This section evaluates the expertise of professionals in data modeling and analytics. It emphasizes the creation and configuration of models within SAP Analytics Cloud (SAC), detailing the role and functionalities of the Data Analyzer, and integrating SAC with external applications.

Thema 3

Connections and Data Preparation: This section targets data integration specialists and preparers. It involves identifying the various methods SAC employs to access data and understanding the appropriate use cases for each.

Thema 4

Performance, Troubleshooting, and Security Management: This section is designed for system administrators and security managers. It involves identifying performance issues, understanding their causes and solutions, and explaining the security model of SAP Analytics Cloud.

Thema 5

Planning: This section measures the proficiency of planning and financial analysts in utilizing SAP Analytics Cloud’s enterprise planning features. It covers working with planning models and stories, configuring data actions, managing versions, and conducting forecasting and simulations.

>> C-SAC-2415 Prüfungs-Guide <<

SAP C-SAC-2415 Prüfungsfragen, C-SAC-2415 PDF

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SAP Certified Associate - Data Analyst - SAP Analytics Cloud C-SAC-2415 Prüfungsfragen mit Lösungen (Q50-Q55):

50. Frage
Your embedded dataset in SAP Analytics Cloud has columns for Country, Region, City, and Customer Name. You want to aggregate measures for these columns as a single column. What can you do?

A. Convert the embedded dataset to a model.
B. Create a parent-child hierarchy in the dataset.
C. Create a group that includes the dimensions.
D. Create a level-based hierarchy in the dataset.

Antwort: D

Begründung:
To aggregate measures for columns such as Country, Region, City, and Customer Name as a single column in an embedded dataset, creating a level-based hierarchy is the most effective approach. This type of hierarchy allows you to define a multi-level structure that represents the logical relationship between different geographical entities and customer names. By doing so, you can easily perform aggregations and analyze data at various levels of detail, from the broadest level (e.g., Country) down to the most specific one (e.g., Customer Name).
Reference:
SAP Analytics Cloud Help Documentation: Creating Hierarchies in Models
SAP Analytics Cloud User Guide: Data Modeling and Hierarchies

51. Frage
How can you improve the performance of advanced data actions? Note: There are 3 correct answers to this question.

A. Use fewer FOREACH functions
B. Use fewer IF statements
C. Use fewer aggregation dimension functions
D. Use fewer data functions
E. Use fewer MEMBERSET statements

Antwort: A,B,D

52. Frage
Which calculation types include dynamic date options? Note: There are 2 correct answers to this Question.

A. Difference From
B. Aggregation
C. Restricted Measure
D. Date Difference

Antwort: A,C

53. Frage
When scrolling down in a long table, how can you retain column headers? Note: There are 2 correct answers to this question.

A. Freeze Up to row
B. Enable Keeping member names visible
C. Enable Auto-Size And Page Table Vertically
D. Freeze Up to column

Antwort: A,D

54. Frage
You have a story based on an import model. The transaction data in the model's data source changes. How can you update the data in the model? Note: There are 2 correct answers to this question.

A. Refresh the import job
B. Allow model import
C. Schedule the import
D. Refresh the story

Antwort: C,D

Begründung:
To update the data in a model based on an import connection, two main approaches can be used:
Refresh the story: This action forces SAP Analytics Cloud to reload the data for the visualizations in a story, pulling in the most recent data available in the model. This is a manual process initiated by the user.
Schedule the import: This option allows users to set up a recurring data import schedule, ensuring the model is regularly updated with the latest data from the source system. This automated process helps maintain data freshness without manual intervention.
Both methods ensure that the story reflects the most current data, accommodating changes in the transaction data of the model's data source.

55. Frage
......

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