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C_SAC_2421 dumps PDF & C_SAC_2421 exam guide & C_SAC_2421 test simulate

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SAP C_SAC_2421 Exam Syllabus Topics:

Topic
Details

Topic 1

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 2

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 3

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 4

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 5

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.

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SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q21-Q26):

NEW QUESTION # 21
When scrolling down in a long table, how can you retain column headers? Note: There are 2 correct answers to this question.

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

Answer: B,D

NEW QUESTION # 22
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 manually reimport the data.
B. You can schedule the dataset to update on a regular basis.
C. You must create a new dataset.
D. You must refresh the story that uses the dataset.

Answer: B

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 # 23
What can you use to organize dimensions into logical categories in a live model?

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

Answer: A

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 # 24
What is required to use version management in a story?

A. Optimized mode
B. Planning model
C. Analytic model
D. Classic mode

Answer: B

Explanation:
Reference:
SAP Analytics Cloud Help Documentation: Version Management in Planning
SAP Analytics Cloud User Guide: Using Planning Models for Versioning

NEW QUESTION # 25
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. Includes the Year measure in a level-based time hierarchy in the dataset.
B. Change the Year measure to a dimension in the dataset.
C. Add the month as a suffix to the Year measure.
D. Insert a character into the Year measure using the transform bar.

Answer: B

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 # 26
......

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Tony Ward Tony Ward

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