Download SAP C_SAC_2421 Exam Dumps for Best Preparation
Exam
:
C_SAC_2421
Title
: SAP Certified Associate Data Analyst - SAP Analytics
Cloud
https://www.passcert.com/C_SAC_2421.html
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1.What source system can you connect to with a live connection?
A. SAP ERP Central Component
B. SAP SuccessFactors
C. SAP Business ByDesign Analytics
D. SAP Datasphere
Answer: D
Explanation:
SAP Analytics Cloud can establish a live connection with various source systems, including SAP
Datasphere. This allows for real-time data access and analysis without the need to replicate data into the
cloud, which is beneficial for scenarios where data privacy and security are paramount.
Reference: SAP Analytics Cloud Connection Guide1
SAC Live and Import Connection Overview2
SAP Analytics Cloud: Expand Live Data Source Options3
Live connection in SAP Analytics Cloud: advantages and challenges4 Explaining Where the Data Comes
From - SAP Learning5
2.You are using a live connection for a model. Where is the data stored?
A. Public dataset
B. SAP Analytics Cloud model
C. Source system
D. Embedded data set
Answer: C
Explanation:
Connections and data preparation
When using a live connection in SAP Analytics Cloud, the data remains stored in the source system. This
means that no data is imported or replicated into SAP Analytics Cloud; instead, it is accessed and
analyzed in real-time directly from the source system. This approach ensures that the most current data is
always used for analysis and that data governance and security policies of the source system remain in
control.
Reference: Live Data Connections to SAP S/4HANA | SAP Help Portal1 SAP Analytics Cloud Connection
Guide2
SAP Analytics Cloud Data Connections - InsightCubes
In the context of SAP Analytics Cloud, when using a live connection to connect to a data source, the data
remains stored in the source system. This setup means that SAP Analytics Cloud directly queries the data
in its original location, without importing or copying it into the SAP Analytics Cloud environment. This
approach is advantageous for several reasons, including maintaining a single source of truth, reducing
data redundancy, and ensuring data is always up-to-date without the need for synchronization processes.
Live connections are particularly useful for real-time or near-real-time data analysis and reporting,
providing insights based on the most current data available without the overhead of data replication.
Reference: SAP Analytics Cloud documentation and user guides typically emphasize the benefits and use
cases of live connections, highlighting how they maintain data in the source system to ensure real-time
data access and analysis.
SAP training materials for Data Analysts using SAP Analytics Cloud, including study guides and official
certification resources, explain the technical and practical aspects of live connections, including where
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data is stored and how it is accessed.
Best practice guides for SAP Analytics Cloud, often available through the SAP Community or SAP
Knowledge Base, provide insights and recommendations on setting up and using live connections,
reinforcing the concept that data stays in the source system.
3.You are using a live connection for a model. Where can you define data security?
A. Source system
B. Data access control
C. SAP Analytics Cloud model
D. SAP Analytics Cloud role
Answer: A
Explanation:
When using a live connection in SAP Analytics Cloud, data security is defined and managed within the
source system. This approach leverages the existing security protocols and permissions set up in the
source system, ensuring that data governance and access controls remain consistent and are centrally
managed. Users accessing data through SAP Analytics Cloud with a live connection will be subject to the
same security constraints and permissions as if they were accessing the data directly from the source
system. This integration ensures a unified security model, simplifying administration and ensuring data
security and compliance.
4.What must you use to transform data in a dataset using if/then/else logic?
A. Calculations editor
B. Custom expression editor
C. Formula bar
D. Transform bar
Answer: B
To transform data in a dataset using if/then/else logic in SAP Analytics Cloud, you must use the Custom
expression editor. This tool allows you to write complex logical conditions and perform conditional data
transformations. The steps involved are: Open the dataset you want to transform.
Navigate to the "Custom expression editor".
Write your if/then/else logic using the syntax supported by SAP Analytics Cloud.
For example:
IF([Sales] > 1000, "High", "Low")
Apply the expression to the relevant column.
Validate and save your changes.
This approach allows for flexibility and precision in transforming your data based on specific conditions.
Reference: =
SAP Help Portal: SAP Analytics Cloud
Official SAP Analytics Cloud Documentation
5.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.
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B. Includes the Year measure in a level-based time hierarchy in the dataset.
C. Insert a character into the Year measure using the transform bar.
D. Add the month as a suffix to the Year measure.
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.
6.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. Allow model import
B. Refresh the story
C. Refresh the import job
D. Schedule the import
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.
7.You need to delete characters from a column in a dataset.
What can you use? Note: There are 2 correct answers to this question.
A. Custom expression editor
B. Formula bar
C. Calculation editor
D. Transform bar
Answer: A D
8.What can you use to organize dimensions into logical categories in a live model?
A. Level-based hierarchy
B. Groups
C. Value driver tree
D. Parent-child hierarchy
Answer: D
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
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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
9.What are the available connection types in SAP Analytics Cloud? Note: There are 2 correct answers to
this question.
A. Live
B. On-premise
C. Cloud
D. Import
Answer: A D
SAP Analytics Cloud supports two primary types of data connections: Live Data Connection and Import
Data Connection. Live Data Connection establishes a direct link to the data source, allowing real-time
data access without replicating the data into SAP Analytics Cloud. This is ideal for scenarios where
up-to-the-minute data is crucial, and data volume is large. On the other hand, Import Data Connection
involves copying data from the source into SAP Analytics Cloud, which is suitable for scenarios where
data doesn't change frequently, or there's a need for data transformation and enrichment within SAP
Analytics Cloud.
Reference: SAP Analytics Cloud Help Documentation: Data Connections Overview
SAP Analytics Cloud User Guide: Live Data vs. Import Data Scenarios
10.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 group that includes the dimensions.
B. Create a level-based hierarchy in the dataset.
C. Create a parent-child hierarchy in the dataset.
D. Convert the embedded dataset to a model.
Answer: B
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
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