C_SACS_2316 Exam Dumps - SAP Certified Application Associate Questions and Answers

The correct answers are B. Public and D. Embedded. These are two of the dataset types that SAP Analytics Cloud supports, according to the SAP Help Portal1. A public dataset is a standalone dataset that is stored in SAP Analytics Cloud and can be found in a folder location on the Files page1. An embedded dataset is a dataset that is saved within a story and does not appear in the Files list1. You can convert an embedded dataset to a public one if you want others to be able to use it1.

The other options, A. Import and C. Live, are not dataset types, but data source types. You can import data from a file or other data source to create a dataset or a model2. You can also use live data from a source system to create a model, but not a dataset2.

1: About Datasets and Dataset Types | SAP Help Portal 3 2: Choose Between Datasets and Models | SAP Help Portal

When you save a story as a template, you can use it as a starting point for creating new stories with the same layout and formatting. However, all the data from the original story is removed and replaced by placeholders for charts, tables, maps, input controls, and value driver trees. This way, you can easily add new data sources and models to the template without affecting the existing ones1. Custom formatting, such as story background, chart color palettes, fonts, and borders, is retained in the template2. Custom widgets, such as images, shapes, texts, and buttons, are also preserved in the template3. Standard widgets, such as charts, tables, maps, input controls, and value driver trees, are converted into empty placeholders that can be filled with new data3.

References:

1: Create and Use Story Templates 2: Story Templates in SAP Analytics Cloud 3: Building Stories from a Template

When you are adding a calculation to a table, you can choose from two options: Single or Multiple. The option determines how many new columns are added to the table based on the calculation. The options are:

• Single: Adds one new column to the table with the calculation result for the selected dimension member. For example, if you select Soft Drinks and choose Single, you will get one new column with the calculation result for Soft Drinks only.
• Multiple: Adds multiple new columns to the table with the calculation result for each dimension member. For example, if you select Soft Drinks and choose Multiple, you will get three new columns with the calculation result for Soft Drinks, Juice, and Alcohol.

Therefore, the correct answer is Selected dimension member, as it is the option that the new column is added to when you choose Single. Verified References:

• : Create Calculations in Tables

Story filters are a feature that allows you to filter the data in a story based on one or more dimensions or measures. You can use story filters to do the following:

• They can be applied to all widgets based on the same model. You can choose which widgets are affected by the story filter and which are not.
• They can be used to create dynamic titles or text based on the filter values. You can insert filter tokens into titles or text elements to show the current filter values.
• They can be used to create input controls that allow users to change the filter values interactively. You can add input controls such as drop-down lists, sliders, checkboxes, etc., to let users select their own filter values.

Story filters cannot do the following:

• They cannot be implemented without a model in a template. You need to have a model as a data source for your story before you can apply story filters.
• They cannot be used to change dimensions in a widget. You cannot use story filters to swap dimensions in a widget. You have to use the chart builder or the table builder to change dimensions in a widget.

Therefore, the correct answer is They can be applied to all widgets based on the same model, as it is what can be done with story filters. Verified References:

• : Filter Data in Stories

A public dataset is a type of dataset that is shared among different stories. You can use public datasets to create stories or blend data with models. A public dataset has the following properties:

• It can be shared among different stories. You can use public datasets in multiple stories without having to import them again.
• It cannot be converted to a model. You cannot convert a public dataset to a model. If you want to create a model from a public dataset, you have to import it as a private dataset first.
• Its data is not structured in a star schema. A public dataset does not have any predefined dimensions or measures. It only has columns and rows of data.
• Its data source cannot be changed. You cannot change the data source of a public dataset after you import it. If you want to update the data in a public dataset, you have to import a new file.

A dataset is a type of data source that allows you to import data from files, such as Excel or CSV files. You can use datasets to create stories or blend data with models. However, datasets have some limitations, such as:

• They cannot be scheduled. You have to manually refresh the data in a dataset.
• They do not support column-based or property security. You cannot restrict access to certain columns or properties in a dataset.
• They do not support transformations. You cannot apply any transformations to the data in a dataset.
• They can overwrite imported data. You can choose to append or replace the data in a dataset when you import a new file.

Therefore, the correct answer is They cannot be scheduled and They do not support column-based or property security, as they are the limitations of datasets.

A section is a way of organizing a story into different parts based on a dimension. A section creates a separate page for each member of the dimension, and displays the same widgets on each page with the data filtered by the section dimension1. For example, if you create a section based on the Country dimension, you will have a page for each country in your data, and the charts and tables on each page will show only the data for that country.

The other options are not correct because:

• Value Driver Tree: This is a widget that allows you to create a graphical representation of how different drivers affect a key performance indicator (KPI). You can use this widget to perform simulations and what-if scenarios on your data2. However, this widget does not create a chart for each member of a dimension.
• In-Cell Charts: These are mini charts that are displayed within table cells to show the relative values of measures. You can use this feature to enhance the readability and analysis of your data3. However, this feature does not create a chart for each member of a dimension.
• Trellis: This is a feature that allows you to split a chart into multiple smaller charts based on one or more dimensions. You can use this feature to compare and contrast different segments of your data4. However, this feature does not create a separate page for each member of a dimension.

References:

1: Creating Sections - SAP Learning 2: Using Value Driver Trees - SAP Learning 3: Using In-Cell Charts - SAP Learning 4: Using Trellis Charts - SAP Learning

Chart scaling is a feature that ensures that you have a meaningful display of values across multiple charts in a story. By default, charts are not scaled, which can lead to incorrect data analysis, particularly if users are not paying attention to the actual values displayed in the chart1.

Chart scaling is applied to the following:

• Specific page: Chart scaling is applied to all of the charts on a page, but the scaling may be different for the same measure on different pages, because the scaling factor is calculated separately for each page1.
• Specific measure: Chart scaling is applied to a specific measure in a chart, and it affects all the charts that contain that measure on the same page. You can exclude charts from the scaling by selecting the chart and choosing Exclude from Scaling in the context menu1.

Chart scaling is not applied to the following:

• All measures: Chart scaling is not applied to all the measures in a story, only to the ones that are selected for scaling. You can select which measures to scale by choosing Scale Measures in the context menu of any chart on a page1.
• All pages: Chart scaling is not applied to all the pages in a story, only to the ones that have scaling enabled. You can enable or disable scaling for a page by choosing Enable Scaling or Disable Scaling in the context menu of any chart on a page1.