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Pass Guaranteed Quiz 2025 C-SAC-2421: SAP Certified Associate - Data Analyst - SAP Analytics Cloud Newest Valid Dumps Ppt

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SAP C-SAC-2421 Exam Syllabus Topics:

Topic
Details

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

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.

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

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 5

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.

SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q33-Q38):

NEW QUESTION # 33
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 # 34
Where can you change a data lock status? Note: There are 2 correct answers to this question.

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

Answer: B,C

NEW QUESTION # 35
You have a dataset that extracts data from an SAP Business Warehouse (SAP BW) system. The data in the SAP BW system changes. How can you update the dataset?

A. You must create a new dataset.
B. You must refresh the story that uses the dataset.
C. You must manually reimport the data.
D. You can schedule the dataset to update on a regular basis.

Answer: D

Explanation:
For datasets that extract data from external systems like SAP Business Warehouse (SAP BW), SAP Analytics Cloud provides the capability to schedule updates on a regular basis. This feature ensures that the dataset within SAP Analytics Cloud remains up-to-date with the latest changes from the SAP BW system, without the need for manual reimport or creating a new dataset. Scheduled updates can be configured to run at specific intervals, automating the data refresh process.
Reference:
SAP Analytics Cloud Help Documentation: Scheduling Data Refresh
SAP Analytics Cloud User Guide: Automating Dataset Updates from External Sources

NEW QUESTION # 36
You are creating a styling rule for a table. What is the context?

A. The most granular level in the table
B. The highest level in the table
C. The table header
D. The location of the cursor

Answer: D

NEW QUESTION # 37
You import data into a dataset. One of the columns imported is Year, and SAP Analytics Cloud interprets it as a measure. How can you ensure that it is treated as a calendar year?

A. Add the month as a suffix to the Year measure.
B. Includes the Year measure in a level-based time hierarchy in the dataset.
C. Change the Year measure to a dimension in the dataset.
D. Insert a character into the Year measure using the transform bar.

Answer: C

Explanation:
If SAP Analytics Cloud interprets a 'Year' column as a measure instead of a dimension, it should be changed to a dimension to ensure it is treated as a calendar year. This adjustment can be made within the model or dataset settings, where the column's role can be switched from a measure (quantitative value) to a dimension (qualitative value). Treating 'Year' as a dimension allows it to be used appropriately in time-based analyses, such as trends over time, without being aggregated like a numerical measure.

NEW QUESTION # 38
......

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