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SAP C-SAC-2415 Exam Syllabus Topics:

Topic	Details
Topic 1	Connections and Data Preparation: This section targets data integration specialists and preparers. It involves identifying the various methods SAC employs to access data and understanding the appropriate use cases for each.
Topic 2	Planning: This section measures the proficiency of planning and financial analysts in utilizing SAP Analytics Cloud’s enterprise planning features. It covers working with planning models and stories, configuring data actions, managing versions, and conducting forecasting and simulations.
Topic 3	Story Design: This section assesses the skills of data analysts and report designers. It includes the design and presentation of stories within SAC, with a focus on configuring story elements such as pages, tables, charts, and widgets.
Topic 4	Performance, Troubleshooting, and Security Management: This section is designed for system administrators and security managers. It involves identifying performance issues, understanding their causes and solutions, and explaining the security model of SAP Analytics Cloud.
Topic 5	Data Modeling, Analysis, and Integration: This section evaluates the expertise of professionals in data modeling and analytics. It emphasizes the creation and configuration of models within SAP Analytics Cloud (SAC), detailing the role and functionalities of the Data Analyzer, and integrating SAC with external applications.

SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q15-Q20):

NEW QUESTION # 15
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. Convert the embedded dataset to a model.
C. Create a level-based hierarchy in the dataset.
D. Create a parent-child hierarchy in the dataset.

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 # 16
In a planning data model, what dimensions are included by default? Note: There are 2 correct Answers to this question.

A. Organization
B. Version
C. Entity
D. Date

Answer: B,D

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 # 17
What can you use input controls for in a story? Note: There are 2 correct answers to this question.

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

Answer: B,C

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 # 18
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 font size of the axis labels
B. Select the Avoid Data Label Overlap checkbox
C. Increase the overall size of the chart widget on the page

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 # 19
Which SAP Analytics Cloud feature uses natural language processing?

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

Answer: D

NEW QUESTION # 20
......

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High Quality C-SAC-2415 Guide Torrent: SAP Certified Associate - Data Analyst - SAP Analytics Cloud Help You Get Certification - Dumpcollection

C-SAC-2415 Latest Braindumps Book - C-SAC-2415 Excellect Pass Rate

SAP C-SAC-2415 Exam Syllabus Topics:

SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q15-Q20):

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