SAP C_SAC_2421 EXAM SIMULATOR FEE & C_SAC_2421 LATEST TEST MATERIALS

SAP C_SAC_2421 Exam Simulator Fee & C_SAC_2421 Latest Test Materials

SAP C_SAC_2421 Exam Simulator Fee & C_SAC_2421 Latest Test Materials

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Tags: C_SAC_2421 Exam Simulator Fee, C_SAC_2421 Latest Test Materials, Valid C_SAC_2421 Test Duration, Test C_SAC_2421 Practice, C_SAC_2421 Latest Exam Practice

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SAP C_SAC_2421 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Planning: SAP Analytics Cloud Data Analysts are expected to demonstrate proficiency in planning within the SAP Analytics Cloud environment. The exam evaluates the ability to create and manage planning models, including setting up dimensions, accounts, and versions. Candidates should be familiar with creating planning input forms and implementing planning processes.
Topic 2
  • Connections and data preparation: This domain covers the essential skills of connecting to data sources and preparing data for analysis. SAP Analytics Cloud Data Analysts are expected to show competence in establishing connections to various data sources, including on-premise and cloud-based systems.
Topic 3
  • Story Design: This section of the exam measures the skills of SAP Analytics Cloud Data Analysts and covers various aspects of story design in SAP Analytics Cloud. The exam assesses the knowledge of candidates who should be able to create effective and visually appealing stories to present data insights. This includes understanding different chart types, layout options, and interactive elements to enhance data visualization and user engagement.
Topic 4
  • Data modeling, analysis, and integration: This section focuses on the core analytical capabilities of SAP Analytics Cloud. SAP Analytics Cloud Data Analysts should demonstrate proficiency in creating and managing data models, performing advanced analysis, and integrating data from various sources. The exam assesses skills in creating calculated measures, applying filters, and using advanced analytical functions.
Topic 5
  • Performance, troubleshooting, and security management: This domain covers critical aspects of maintaining and optimizing SAP Analytics Cloud environments. It assesses SAP Analytics Cloud Data Analysts' abilities in performance tuning, troubleshooting common issues, and implementing security measures.

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SAP C_SAC_2421 Latest Test Materials | Valid C_SAC_2421 Test Duration

Achieving the SAP C_SAC_2421 certificate is an excellent way of paying your way in the tech field. However, to become SAP C_SAC_2421 certified, you will have to crack the SAP C_SAC_2421 exam. This is a challenging task since preparation for the SAP C_SAC_2421 Exam demands an inside-out understanding of C_SAC_2421 domains and many SAP C_SAC_2421 test applicants do not have enough time due to their busy routines.

SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q38-Q43):

NEW QUESTION # 38
How can you determine node relationships in a value driver tree? Note: There are 2 correct answers to this question.

  • A. Use a dimension hierarchy
  • B. Use a story calculated measure
  • C. Use a calculated member
  • D. Use a model converted measure

Answer: A,C


NEW QUESTION # 39
You have a column chart in a story. You notice some of the labels are missing until you mouse over the data point. How can you ensure that the labels are always visible?

  • A. Increase the overall size of the chart widget on the page
  • B. Select the Avoid Data Label Overlap checkbox
  • C. Increase the font size of the axis labels

Answer: B

Explanation:
To ensure that labels are always visible on a column chart in a story, you should select the "Avoid Data Label Overlap" checkbox in the chart's settings. This option adjusts the labels' positioning to prevent overlap, making them visible at all times without the need for mouse-over interaction.
Reference:
SAP Analytics Cloud Help Documentation: Chart Design and Label Management SAP Analytics Cloud User Guide: Enhancing Data Label Visibility in Charts


NEW QUESTION # 40
Where can you change a data lock status? Note: There are 2 correct answers to this question.

  • A. Calendar task
  • B. Data action
  • C. Value lock management
  • D. Multi action

Answer: A,D


NEW QUESTION # 41
You have a dimension with members for product groups and products. Each product group has associated products. You want to plan by product group without disaggregating into the products. How can you do this?

  • A. Dis-able allocations
  • B. Dis-able distribution
  • C. Use two hierarchies
  • D. Use two properties

Answer: C

Explanation:
When you have a dimension with members for product groups and associated products and want to plan by product group without disaggregating into the individual products, using two hierarchies is the best approach. One hierarchy can represent the product groups at a higher level, allowing for planning and analysis at the group level. The second hierarchy can include both the product groups and their associated individual products for more detailed analysis when needed. This approach provides flexibility in planning and analyzing data at different levels of detail without the necessity of disaggregating data at the product group level.
Reference:
SAP Analytics Cloud Help Documentation: Hierarchies in Planning
SAP Analytics Cloud User Guide: Managing Hierarchies for Planning


NEW QUESTION # 42
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. Schedule the import
  • C. Allow model import
  • D. Refresh the story

Answer: B,D

Explanation:
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.


NEW QUESTION # 43
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