C-SAC-2501 Test Dumps, C-SAC-2501 Reliable Test Syllabus

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SAP C-SAC-2501 Reliable Test Syllabus, Latest C-SAC-2501 Learning Materials

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SAP C-SAC-2501 Exam Syllabus Topics:

Topic	Details
Topic 1	Planning: This section evaluates the expertise of Business Intelligence Developers. The focus is on planning and strategic aspects of data visualization projects.
Topic 2	Data Modeling, Analysis, and Integration: This section assesses the skills of Data Architects and covers data modeling, analysis, and integration.
Topic 3	Story Design: This section of the exam measures the skills of Data Analysts and covers story design concepts, accounting for The focus on creating effective visualizations and narratives using data.
Topic 4	Performance, Troubleshooting, and Security Management: This section measures the skills of IT Administrators and covers performance, troubleshooting, and security management, making up less than 10% of the exam. It focuses on optimizing performance, resolving issues, and ensuring data security in data visualization environments.
Topic 5	Connections and Data Preparation: This section targets Data Engineers and covers connections and data preparation, The focus is on connecting to data sources and preparing data for visualization.

SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q55-Q60):

NEW QUESTION # 55
What can you use to organize dimensions into logical categories in a live model?

A. Groups
B. Value driver tree
C. Parent-child hierarchy
D. Level-based hierarchy

Answer: C

Explanation:
In a live model within SAP Analytics Cloud, dimensions can be organized into logical categories using either level-based hierarchies or parent-child hierarchies. Level-based hierarchies are used when the relationships between items are defined by distinct levels, such as Geography might be divided into Country, State, and City levels. Parent-child hierarchies, on the other hand, are useful when the data's hierarchy is not strictly defined by levels but by a parent relationship where a child member is associated with a parent member, which is common in organizational structures or product categories.
Reference:
SAP Analytics Cloud Help Documentation: Creating and Managing Hierarchies SAP Analytics Cloud User Guide: Working with Models

NEW QUESTION # 56
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. Change the Year measure to a dimension in the dataset.
B. Add the month as a suffix to the Year measure.
C. Insert a character into the Year measure using the transform bar.
D. Includes the Year measure in a level-based time hierarchy in the dataset.

Answer: A

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 # 57
How can you determine node relationships in a value driver tree? Note: There are 2 correct answers to this question.

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

Answer: C,D

NEW QUESTION # 58
Which tasks can you perform in data analyzer? Note: There are 2 correct answers to this question.

A. Drill down on data
B. Input data
C. Create cross-calculation
D. Filter data

Answer: A,D

Explanation:
In Data Analyzer, users can perform various tasks to analyze their data, including filtering data and drilling down on data. Filtering allows users to narrow down the dataset to focus on specific subsets of data, enhancing the analysis's relevancy. Drilling down provides the ability to explore data at a more granular level, revealing deeper insights into the data points and trends within the larger dataset.
Reference:
SAP Analytics Cloud Help Documentation: Data Analyzer Usage
SAP Analytics Cloud User Guide: Filtering and Drilling Down in Data Analyzer

NEW QUESTION # 59
You have a live data model with two dimensions: Firstname and Lastname. Users want a single dimension in the data model that displays the dimensions as Lastname, Firstname. What must you do?

A. Create the combined data in the source system.
B. Create a calculated dimension in the data model.
C. Create a calculated dimension in the story.
D. Group the Firstname and Lastname in the data model.

Answer: B

Explanation:
To combine two dimensions, Firstname and Lastname, into a single dimension displaying as Lastname, Firstname in a live data model, you should create a calculated dimension in the data model. This calculated dimension will concatenate the two fields into one, according to the specified format. This approach allows for the creation of a new dimension that can be used across various reports and analyses within the model, maintaining the integrity of the original dimensions.
Reference:
SAP Analytics Cloud Help Documentation: Creating Calculated Dimensions
SAP Analytics Cloud User Guide: Data Modeling Best Practices

NEW QUESTION # 60
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C-SAC-2501 TEST DUMPS, C-SAC-2501 RELIABLE TEST SYLLABUS

C-SAC-2501 Test Dumps, C-SAC-2501 Reliable Test Syllabus