Latest SAP C_SAC_2415 Practice Test Questions, SAP Certified Associate - Data Analyst - SAP Analytics Cloud Exam Dumps
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SAP C_SAC_2415 Exam Syllabus Topics:
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NEW QUESTION # 18
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 must create a new dataset.
- C. You can schedule the dataset to update on a regular basis.
- D. You must refresh the story that uses the dataset.
Answer: C
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 # 19
In which types of data source can you concatenate data? Note: There are 3 correct answers to this question.
- A. Standalone dataset
- B. Imported data model
- C. Live data model
- D. Data analyzer insight
- E. Embedded data set
Answer: A,B,E
Explanation:
In SAP Analytics Cloud, data concatenation can be performed on Embedded datasets, Standalone datasets, and Imported data models. This process involves combining data from multiple sources or tables into a single dataset or model, providing a unified view of the data. This is particularly useful for analyses that require a comprehensive dataset compiled from various data sources.
Reference:
SAP Analytics Cloud Help Documentation: Working with Datasets
SAP Analytics Cloud User Guide: Concatenating Data in Models and Datasets
NEW QUESTION # 20
What must you use to transform data in a dataset using if/then/else logic?
- A. Custom expression editor
- B. Transform bar
- C. Formula bar
- D. Calculations editor
Answer: A
Explanation:
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
NEW QUESTION # 21
You are using a live connection for a model. Where can you define data security?
- A. Data access control
- B. SAP Analytics Cloud model
- C. Source system
- D. SAP Analytics Cloud role
Answer: C
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.
NEW QUESTION # 22
You are using a live connection for a model. Where is the data stored?
- A. SAP Analytics Cloud model
- B. Source system
- C. Public dataset
- D. Embedded data set
Answer: B
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.
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 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.
NEW QUESTION # 23
You have a story in My Files. You want your colleague to review and comment on the story. What must you do?
- A. Share with View access
- B. Add a Comment widget to the story
- C. Create a Review task for the story
- D. Include the story in a Discussion
Answer: B
NEW QUESTION # 24
When scrolling down in a long table, how can you retain column headers? Note: There are 2 correct answers to this question.
- A. Freeze Up to column
- B. Freeze Up to row
- C. Enable Auto-Size And Page Table Vertically
- D. Enable Keeping member names visible
Answer: A,B
NEW QUESTION # 25
Where can you create a blank planning version?
- A. In the planning model
- B. In the version dimension
- C. In version management
- D. In a data cell
Answer: C
Explanation:
A blank planning version in SAP Analytics Cloud can be created within the Version Management feature. This area of the platform allows users to manage different versions of their data, such as budgets, forecasts, and what-if scenarios. Creating a blank version provides a clean slate for planning activities, without pre-existing data, enabling users to start fresh with their assumptions and inputs.
Reference:
SAP Analytics Cloud Help Documentation: Version Management in Planning
SAP Analytics Cloud User Guide: Creating New Versions for Planning
NEW QUESTION # 26
What account types use the average rate type? Note: There are 2 correct answers to this question.
- A. INC
- B. AST
- C. EXP
- D. LEQ
Answer: A,C
NEW QUESTION # 27
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 data functions
- C. Use fewer aggregation dimension functions
- D. Use fewer FOREACH functions
- E. Use fewer IF statements
Answer: B,D,E
NEW QUESTION # 28
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. Convert the embedded dataset to a model.
- B. Create a parent-child hierarchy in the dataset.
- C. Create a level-based hierarchy in the dataset.
- D. Create a group that includes the dimensions.
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 # 29
What are the available connection types in SAP Analytics Cloud? Note: There are 2 correct answers to this question.
- A. Cloud
- B. On-premise
- C. Live
- D. Import
Answer: C,D
Explanation:
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
NEW QUESTION # 30
For which activities must you enable Advanced Mode in story design? Note: There are 2 correct answers to this question.
- A. Add a custom widget
- B. Add JavaScript to a button
- C. Add a popup
- D. Add a layer to a geo map
Answer: B,C
NEW QUESTION # 31
Which features are available in the Optimized Design Experience? Note: There are 3 correct answers to this question.
- A. Explorer
- B. Grid pages
- C. Linked widgets diagram
- D. Composites
- E. Undo button
Answer: C,D,E
NEW QUESTION # 32
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 Datasphere model
- B. SAP Analytics Cloud analytic model
- C. SAP Analytics Cloud public dataset
- D. SAP HANA view
- E. SAP BusinessObjects Universe
Answer: A,B,D
NEW QUESTION # 33
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 # 34
You input new data for a private version in a story. What must you do to ensure the new data is added to the model?
- A. Send
- B. Save
- C. Publish
- D. Nothing
Answer: C
Explanation:
When inputting new data for a private version in a story in SAP Analytics Cloud, it is necessary to "Publish" the data to ensure it is added to the model. Publishing the private version commits the changes to the underlying model, making the new data visible and accessible to other users according to their permissions. This step is crucial for ensuring that the updated data is incorporated into the shared model for further analysis and decision-making.
Reference:
SAP Analytics Cloud Help Documentation: Private Versions and Publishing SAP Analytics Cloud User Guide: Working with Private Versions in Stories
NEW QUESTION # 35
How can you help a user enter data faster in a planning story? Note: There are 2 correct answers to this question.
- A. Enable unbooked data in the story.
- B. Set Size Limits for Planning Performance in the model.
- C. Select fluid data entry mode in the story.
- D. Enable Optimize Recommended Planning Area in the model.
Answer: C,D
NEW QUESTION # 36
In a planning data model, what dimensions are included by default? Note: There are 2 correct Answers to this question.
- A. Version
- B. Date
- C. Entity
- D. Organization
Answer: A,B
Explanation:
In a planning data model in SAP Analytics Cloud, the Date and Version dimensions are included by default. The Date dimension is essential for time-based planning and analysis, while the Version dimension allows for the creation and management of different data scenarios, such as budget, forecast, and actuals. These dimensions provide a foundational structure for planning activities within the model.
Reference:
SAP Analytics Cloud Help Documentation: Planning Data Model Basics
SAP Analytics Cloud User Guide: Understanding Default Dimensions in Planning Models
NEW QUESTION # 37
You are creating a data action to copy data from one year to the next.In the parameter for the source year, which default setting must you change?
- A. Granularity
- B. Cardinality
- C. Level
- D. Hierarchy
Answer: B
NEW QUESTION # 38
Which dimension type can you use like a measure?
- A. Date
- B. Account
- C. Entity
- D. Organization
Answer: B
Explanation:
In SAP Analytics Cloud, the Account dimension can be used similarly to a measure. This dimension is specifically designed for financial data and can hold various types of financial metrics, such as revenues, expenses, assets, and liabilities. It allows for the application of financial calculations and aggregations, which is why it can function similarly to measures in the context of financial reporting and analysis.
Reference:
SAP Analytics Cloud Help Documentation: Understanding Dimensions and Measures SAP Analytics Cloud User Guide: Working with Account Dimensions
NEW QUESTION # 39
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