New C-SAC-2421 Exam Pattern | Question C-SAC-2421 Explanations

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Getting the SAP Certified Associate - Data Analyst - SAP Analytics Cloud (C-SAC-2421) certification exam is necessary in order to get a job in your desired tech company. Success in the SAP Certified Associate - Data Analyst - SAP Analytics Cloud certification exam gives you an edge over the others because you will have certified skills. The SAP Certified Associate - Data Analyst - SAP Analytics Cloud (C-SAC-2421) certification exam badge will make a good impression on the interviewer. Most of the people planning to attempt the SAP Certified Associate - Data Analyst - SAP Analytics Cloud (C-SAC-2421) exam are confused that how will they prepare and pass SAP Certified Associate - Data Analyst - SAP Analytics Cloud (C-SAC-2421) exam with good grades.

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SAP C-SAC-2421 Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	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 3	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 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	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.

SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q22-Q27):

NEW QUESTION # 22
How can you improve the performance of advanced data actions? Note: There are 3 correct answers to this question.

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

Answer: C,D,E

NEW QUESTION # 23
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. Create a parent-child hierarchy in the dataset.
B. Create a group that includes the dimensions.
C. Create a level-based hierarchy in the dataset.
D. Convert the embedded dataset to a model.

Answer: C

Explanation:
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

NEW QUESTION # 24
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. Insert a character into the Year measure using the transform bar.
B. Add the month as a suffix to the Year measure.
C. Includes the Year measure in a level-based time hierarchy in the dataset.
D. Change the Year measure to a dimension in the dataset.

Answer: D

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 # 25
Which of the following data sources can you use in SAP Analytics Cloud data analyzer? Note: There are 3 correct answers to this question.

A. SAP Analytics Cloud public dataset
B. SAP BusinessObjects Universe
C. SAP Analytics Cloud analytic model
D. SAP Datasphere model
E. SAP HANA view

Answer: C,D,E

NEW QUESTION # 26
You are creating an allocation step to distribute expenses from the HR cost center to your operating cost centers. Which dimension setting controls how much is distributed to each operating cost center?

A. Redistribute
B. Reference
C. Distribute
D. Driver

Answer: D

Explanation:
In the context of creating an allocation step to distribute expenses from the HR cost center to operating cost centers in SAP Analytics Cloud, the "Driver" dimension setting is crucial. This setting determines the basis or criteria on which the distribution is calculated and applied to each operating cost center. For instance, the driver could be the number of employees, square footage, or any other relevant metric that justifies the distribution of costs. By defining a driver, you ensure that the allocation of expenses is proportional and fair based on the selected criteria.
Reference:
SAP Analytics Cloud Help Documentation: Allocation Steps in Planning
SAP Analytics Cloud User Guide: Using Drivers for Allocation

NEW QUESTION # 27
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NEW C-SAC-2421 EXAM PATTERN | QUESTION C-SAC-2421 EXPLANATIONS

New C-SAC-2421 Exam Pattern | Question C-SAC-2421 Explanations