Latest Verified & Correct SAP C-SAC-2501 Questions & Answers Daily Updated [Q10-Q30]

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Latest Verified & Correct SAP C-SAC-2501 Questions & Answers Daily Updated

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NEW QUESTION # 10
What features are supported by data analyzer? Note: There are 3 correct answers to this question.

  • A. Calculated measures
  • B. Charts
  • C. Input controls
  • D. Conditional formatting
  • E. Linked dimensions

Answer: A,B,D


NEW QUESTION # 11
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. Responsive
  • C. Grid
  • D. Composite

Answer: B

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 # 12
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. Refresh the import job
  • C. Refresh the story
  • D. Allow model import

Answer: A,C

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 # 13
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. Calculation editor
  • B. Custom expression editor
  • C. Formula bar
  • D. Transform bar

Answer: B,D


NEW QUESTION # 14
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
  • B. Self and Siblings
  • C. Self and Children
  • D. Self and Descendants

Answer: A

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 # 15
What can you use input controls for in a story? Note: There are 2 correct answers to this question.

  • A. Filtering data on a page
  • B. Selecting an alternate data source
  • C. Implementing row-level and column-level security in a table
  • D. Changing dimensions or measures displayed in a table

Answer: A,D

Explanation:
Input controls in a story in SAP Analytics Cloud can be used for changing dimensions or measures displayed in a table and for filtering data on a page. Input controls provide a way for users to interactively modify the view of the data, such as selecting which dimensions or measures to display, or filtering the entire page's content based on selected criteria, enhancing the interactivity and flexibility of data analysis within stories.
Reference:
SAP Analytics Cloud Help Documentation: Input Controls in Stories
SAP Analytics Cloud User Guide: Using Input Controls for Data Interaction


NEW QUESTION # 16
Which dimension type can you use like a measure?

  • A. Organization
  • B. Entity
  • C. Date
  • D. Account

Answer: D

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 # 17
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. Select fluid data entry mode in the story.
  • C. Set Size Limits for Planning Performance in the model.
  • D. Enable Optimize Recommended Planning Area in the model.

Answer: B,D


NEW QUESTION # 18
What must a data model contain in SAP Analytics Cloud? Note: There are 2 correct answers to this question.

  • A. Measures
  • B. Hierarchies
  • C. Calculations
  • D. Dimensions

Answer: A,D

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 # 19
To which story elements can you apply conditional formatting? Note: There are 2 correct answers to this question.

  • A. Table
  • B. Lane
  • C. Chart
  • D. Composite

Answer: A,C

Explanation:
In SAP Analytics Cloud stories, conditional formatting can be applied to Table and Chart elements. This feature allows users to visually highlight data points based on specific conditions, such as thresholds, ranges, or comparisons, making it easier to identify trends, outliers, or areas of interest within the data presented in tables and charts.
Reference:
SAP Analytics Cloud Help Documentation: Conditional Formatting
SAP Analytics Cloud User Guide: Applying Conditional Formatting to Tables and Charts


NEW QUESTION # 20
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. Hierarchy
  • B. Level
  • C. Granularity
  • D. Cardinality

Answer: D


NEW QUESTION # 21
What are the available connection types in SAP Analytics Cloud? Note: There are 2 correct answers to this question.

  • A. On-premise
  • B. Live
  • C. Cloud
  • D. Import

Answer: B,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 # 22
You are creating a styling rule for a table. What is the context?

  • A. The table header
  • B. The most granular level in the table
  • C. The location of the cursor
  • D. The highest level in the table

Answer: C


NEW QUESTION # 23
You are creating a script for an advanced data action. Which character designates a virtual variable member?

  • A. *
  • B. %
  • C. /
  • D. #

Answer: B


NEW QUESTION # 24
You have a story in My Files. You want your colleague to review and comment on the story. What must you do?

  • A. Add a Comment widget to the story
  • B. Share with View access
  • C. Include the story in a Discussion
  • D. Create a Review task for the story

Answer: B


NEW QUESTION # 25
Which automatically created dimension type can you delete from an analytic data model?

  • A. Version
  • B. Organization
  • C. Date
  • 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 # 26
You are entering values for several expense accounts in a data table. Which data entry mode must you use to process the data with a delay defined in System Administration?

  • A. Fluid
  • B. Mass
  • C. Single

Answer: A


NEW QUESTION # 27
Which tasks can you perform in data analyzer? Note: There are 2 correct answers to this question.

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

Answer: A,C

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 # 28
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 # 29
Which SAP Analytics Cloud feature uses natural language processing?

  • A. Just Ask feature
  • B. Digital boardroom
  • C. Data analyzer
  • D. Smart insight

Answer: A


NEW QUESTION # 30
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SAP C-SAC-2501 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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.
Topic 3
  • Data Modeling, Analysis, and Integration: This section assesses the skills of Data Architects and covers data modeling, analysis, and integration.
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
  • Planning: This section evaluates the expertise of Business Intelligence Developers. The focus is on planning and strategic aspects of data visualization projects.

 

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