Free SAP C_SAC_2421 Test Practice Test Questions Exam Dumps
Prepare Top SAP C_SAC_2421 Exam Audio Study Guide Practice Questions Edition
NEW QUESTION # 22
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. Schedule the import
- B. Allow model import
- C. Refresh the import job
- D. Refresh the story
Answer: A,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.
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. Create a Review task for the story
- C. Include the story in a Discussion
- D. Add a Comment widget to the story
Answer: D
NEW QUESTION # 24
You are designing a new story. You want the size and position of widgets to adjust dynamically for viewing on different devices and screen sizes. Which page type must you use?
- A. Canvas
- B. Grid
- C. Composite
- D. Responsive
Answer: D
Explanation:
For designing a new story in SAP Analytics Cloud where the size and position of widgets need to adjust dynamically for different devices and screen sizes, the Responsive page type should be used. Responsive pages automatically adapt to the screen size of the device they are viewed on, providing an optimal viewing experience across desktops, tablets, and smartphones.
Reference:
SAP Analytics Cloud Help Documentation: Responsive Design in Stories
SAP Analytics Cloud User Guide: Building Responsive Pages
NEW QUESTION # 25
What are the available connection types in SAP Analytics Cloud? Note: There are 2 correct answers to this question.
- A. Live
- B. Import
- C. On-premise
- D. Cloud
Answer: A,B
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 # 26
What must a data model contain in SAP Analytics Cloud? Note: There are 2 correct answers to this question.
- A. Dimensions
- B. Hierarchies
- C. Measures
- D. Calculations
Answer: A,C
Explanation:
In SAP Analytics Cloud, a data model must contain at least "Dimensions" and "Measures" to be functional. Dimensions are the qualitative aspects of the data (e.g., time, geography, product categories) that provide the context for analysis. Measures, on the other hand, are the quantitative data points (e.g., sales, costs, quantities) that are analyzed within the context provided by dimensions. Both are fundamental components of a data model, enabling structured data analysis and reporting.
Reference:
SAP Analytics Cloud Help Documentation: Building Data Models
SAP Analytics Cloud User Guide: Understanding Dimensions and Measures in Models
NEW QUESTION # 27
You have a column chart in a story. You notice some of the labels are missing until you mouse over the data point. How can you ensure that the labels are always visible?
- A. Increase the overall size of the chart widget on the page
- B. Select the Avoid Data Label Overlap checkbox
- C. Increase the font size of the axis labels
Answer: B
Explanation:
To ensure that labels are always visible on a column chart in a story, you should select the "Avoid Data Label Overlap" checkbox in the chart's settings. This option adjusts the labels' positioning to prevent overlap, making them visible at all times without the need for mouse-over interaction.
Reference:
SAP Analytics Cloud Help Documentation: Chart Design and Label Management SAP Analytics Cloud User Guide: Enhancing Data Label Visibility in Charts
NEW QUESTION # 28
Which automatically created dimension type can you delete from an analytic data model?
- A. Version
- B. Date
- C. Organization
- D. Generic
Answer: D
Explanation:
In an analytic data model within SAP Analytics Cloud, the automatically created dimension type that you can delete is the Generic dimension. This type of dimension is typically used for custom or ad-hoc categorizations and, unlike system-generated dimensions like Date or Version, can be modified or removed as per the specific needs of your data model and analysis requirements.
Reference:
SAP Analytics Cloud Help Documentation: Data Model Dimensions
SAP Analytics Cloud User Guide: Managing Dimensions in Analytic Models
NEW QUESTION # 29
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 # 30
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 # 31
Which SAP Analytics Cloud feature uses natural language processing?
- A. Just Ask feature
- B. Smart insight
- C. Data analyzer
- D. Digital boardroom
Answer: B
NEW QUESTION # 32
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 FOREACH functions
- C. Use fewer IF statements
- D. Use fewer aggregation dimension functions
- E. Use fewer data functions
Answer: B,C,E
NEW QUESTION # 33
Which features are available in the Optimized Design Experience? Note: There are 3 correct answers to this question.
- A. Composites
- B. Explorer
- C. Undo button
- D. Grid pages
- E. Linked widgets diagram
Answer: A,C,E
NEW QUESTION # 34
You are creating a styling rule for a table. What is the context?
- A. The location of the cursor
- B. The most granular level in the table
- C. The highest level in the table
- D. The table header
Answer: A
NEW QUESTION # 35
In a data model, what can you use to further describe a dimension?
- A. Data action
- B. Measure
- C. Property
- D. Variable
Answer: C
Explanation:
In a data model within SAP Analytics Cloud, Properties are used to further describe dimensions. Properties provide additional context or metadata for dimension members, such as descriptions, classifications, or other attributes that help to better understand and analyze the data within the dimension. This makes properties essential for detailed data analysis and reporting.
Reference:
SAP Analytics Cloud Help Documentation: Dimension Properties
SAP Analytics Cloud User Guide: Enhancing Dimensions with Properties
NEW QUESTION # 36
You want to save your data analyzer result. What is it saved as?
- A. Story
- B. Insight
- C. Model
- D. Dataset
Answer: B
NEW QUESTION # 37
You want to total several income and expense accounts using the account type property.
What configuration option in the advanced formula must you use?
- A. Signflip
- B. Append
- C. Unbooked
- D. Aggregate To
Answer: A
NEW QUESTION # 38
In which types of data source can you concatenate data? Note: There are 3 correct answers to this question.
- A. Embedded data set
- B. Data analyzer insight
- C. Standalone dataset
- D. Imported data model
- E. Live data model
Answer: A,C,D
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 # 39
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 row
- B. Enable Keeping member names visible
- C. Enable Auto-Size And Page Table Vertically
- D. Freeze Up to column
Answer: A,D
NEW QUESTION # 40
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. Calculation editor
- C. Transform bar
- D. Formula bar
Answer: A,C
NEW QUESTION # 41
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. Convert the embedded dataset to a model.
- D. Create a parent-child hierarchy in the dataset.
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
NEW QUESTION # 42
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 # 43
What account types use the average rate type? Note: There are 2 correct answers to this question.
- A. LEQ
- B. EXP
- C. INC
- D. AST
Answer: B,C
NEW QUESTION # 44
You are creating a styling rule for a table with a hierarchy of Country, Region, and City. You want to apply the styling rule only to countries. Which level option must you use?
- A. Self and Children
- B. Self and Descendants
- C. Self
- D. Self and Siblings
Answer: C
Explanation:
To apply a styling rule only to countries in a table with a hierarchy of Country, Region, and City in SAP Analytics Cloud, you must use the "Self" level option. This option ensures that the styling rule is applied specifically to the level of the hierarchy representing countries, without affecting the styling of regions, cities, or any other hierarchical levels.
Reference:
SAP Analytics Cloud Help Documentation: Styling Hierarchical Tables
SAP Analytics Cloud User Guide: Hierarchical Styling Options
NEW QUESTION # 45
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 BusinessObjects Universe
- B. SAP HANA view
- C. SAP Analytics Cloud analytic model
- D. SAP Datasphere model
- E. SAP Analytics Cloud public dataset
Answer: B,C,D
NEW QUESTION # 46
......
Go to C_SAC_2421 Questions - Try C_SAC_2421 dumps pdf: https://www.getvalidtest.com/C_SAC_2421-exam.html
Dumps Practice Exam Questions Study Guide for the C_SAC_2421 Exam: https://drive.google.com/open?id=1iWhqCs0euEJuVSsWe0kDcQkUwvCtpns6