100% Free C-SACS-2308 Files For passing the exam Quickly UPDATED Jun 11, 2024 [Q33-Q48]

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100% Free C-SACS-2308 Files For passing the exam Quickly UPDATED Jun 11, 2024

C-SACS-2308 Dumps Questions Study Exam Guide

NEW QUESTION 33
Which image file type does SAP recommend for optimal story performance?

JPEG

PNG

SVG

BMP

According to the SAP Help Portal1, SVG (Scalable Vector Graphics) is the recommended image file type for optimal story performance in SAP Analytics Cloud Story Design. SVG is a vector-based format that can scale to any size without losing quality or clarity. SVG images also have a smaller file size than other image formats, such as JPEG, PNG, or BMP, which are raster-based formats that store pixel dat a. Raster images can lose quality or become blurry when scaled up or down, and they also have a larger file size than vector images. Therefore, using SVG images can improve the loading speed and responsiveness of your stories, as well as the visual appearance of your images2.

NEW QUESTION 34
Which of the following is a story guideline?

Avoid the Top N feature in charts and tables.

Design many stories with few pages.

Avoid chart filters with many data points.

Design few stories with many pages.

This is one of the story guidelines recommended by SAP Analytics Cloud. According to the course material1, “When designing your stories, keep them as simple as possible. In general, it is easier for users to consume story content if it is present in smaller bits rather than have a few large stories with many pages to navigate.” The other options are not mentioned as guidelines in the course material.
1: Introducing SAP Analytics Cloud Story Design | SAP Training 2

NEW QUESTION 35
What are some guidelines does SAP recommend you follow when you create a story? Note: There are 2 correct answers to this question.

Use grouping.

Avoid pie charts.

Have a clear message.

Use corporate branding standards.

The correct answers are C. Have a clear message and D. Use corporate branding standards. These are some of the guidelines that SAP recommends you follow when you create a story. According to the course material1, “Your current reporting and dashboard standards will suffice for SAP Analytics Cloud stories. And if you do not have reporting or dashboard standards, this is the perfect time to create them.” The course material also suggests that you should “have a clear message and purpose for your story” and “use corporate branding standards to ensure consistency and professionalism”1.
The other options are not mentioned as guidelines in the course material. Option A) Use grouping is a feature that allows you to group data points in a chart or table, but it is not a general design principle. Option B. Avoid pie charts is a common advice for data visualization, but it is not specific to SAP Analytics Cloud stories.
1: Introducing SAP Analytics Cloud Story Design | SAP Training 2

NEW QUESTION 36
When you import a file for a story, which of the following can you use for data wrangling? Note: There are 2 correct answers to this question.

Formula bar

Custom expression editor

Transform bar

Calculation editor

NEW QUESTION 37
When you are adding a calculation to a table (see graphic below) and choose Single, to which of the following is the new column added?

Selected dimension member

Every dimension member

@Data model

Story repository

NEW QUESTION 38
When you import a file for a story, which of the following can you use for data wrangling? Note: There are 2 correct answers to this question.

Formula bar

Custom expression editor

Transform bar

Calculation editor

These are two of the options that you can use for data wrangling when you import a file for a story in SAP Analytics Cloud, according to the SAP Help Portal1. Data wrangling is the process of cleaning, structuring, and enriching raw data into a desired format for better decision making in less time2.
The custom expression editor is a tool that allows you to create or edit formulas and expressions for your data columns3. You can access the custom expression editor by clicking on the formula icon in the builder panel or by double-clicking on a column header in the data view3. The custom expression editor provides a list of functions and operators that you can use to manipulate your data, such as arithmetic, logical, string, date, and aggregation functions3. You can also use the custom expression editor to create calculated columns or measure-based dimensions from your existing columns3.
The transform bar is a tool that allows you to apply various transformations to your data columns, such as renaming, reordering, grouping, splitting, merging, or deleting columns4. You can access the transform bar by clicking on the transform icon in the builder panel or by right-clicking on a column header in the data view4. The transform bar provides a list of actions that you can use to modify your data structure, such as move left, move right, group by, split by delimiter, merge columns, or delete column4. You can also use the transform bar to change the data type or format of your columns, such as text, number, date, currency, or percentage4.

NEW QUESTION 39
What are limitations of datasets?Note: There are 2 correct answers to this question.

They cannot be scheduled.

They do not support column-based or property security.

They do not support transformations.

They cannot overwrite imported data.

NEW QUESTION 40
Which of the following are necessary for Linked Analysis?

Multiple widgets

Multiple stories

Multiple data models

Multiple pages

Linked Analysis is a feature that allows you to link multiple widgets in a story based on the same model. You can use Linked Analysis to do the following:
Filter data in multiple widgets by selecting a data point in one widget. For example, if you select Soft Drinks in a chart, all the other linked widgets will show data for Soft Drinks only.
Drill down or up in multiple widgets by changing the level of detail in one widget. For example, if you drill down from Product Category to Product Name in a table, all the other linked widgets will show data for Product Name as well.
Highlight data in multiple widgets by hovering over a data point in one widget. For example, if you hover over Germany in a geo map, all the other linked widgets will highlight the data for Germany.
To use Linked Analysis, you need to have the following:
Multiple widgets based on the same model. You can link any type of widget, such as charts, tables, geo maps, etc., as long as they are based on the same model.
A common dimension or measure between the widgets. You can link widgets based on any dimension or measure that they share in common.
You do not need to have the following for Linked Analysis:
Multiple stories. You can use Linked Analysis within the same story. You cannot link widgets across different stories.
Multiple data models. You can use Linked Analysis with one model only. You cannot link widgets based on different models.
Multiple pages. You can use Linked Analysis within the same page. You cannot link widgets across different pages.
Therefore, the correct answer is Multiple widgets, as it is the necessary element for Linked Analysis. Verified Reference:: Link Widgets with Linked Analysis

NEW QUESTION 41
Which calculation types support Input controls? Note: There are 3 correct answers to this question.

Restricted Measure

Dimension to measure

Calculated measure

Aggregation

Difference From

NEW QUESTION 42
What does the model setting Optimize Story Building Performance do in a story?

It disables the Classic Design Experience,

It prevents the automatic refresh of data during story design.

It forces the story to be designed in the Optimized Design Experience.

It automatically turns on parallel processing of SAP BW queries.

The model setting Optimize Story Building Performance prevents the automatic refresh of data during story design. This means that users can design stories without waiting for the data to load every time they make a change. Users can manually refresh the data when they want to see the updated results. The model setting does not affect the design experience, the parallel processing, or the story editing. Verified Reference: [SAP Analytics Cloud – Optimize Story Building Performance]

NEW QUESTION 43
How does the SAP Digital Boardroom support engaging with a remote audience? Note: There are 2 correct answers to this question.

Through annotations

Through screen sharing

Through Data Analyzer

Through story editing

NEW QUESTION 44
What are some guidelines does SAP recommend you follow when you create a story? Note: There are 2 correct answers to this question.

Use grouping.

Avoid pie charts.

Have a clear message.

Use corporate branding standards.

NEW QUESTION 45
In a story, to which of the following is chart scaling applied? Note: There are 2 correct answers to this question.

Specific page

All measures

All pages

Specific measure

NEW QUESTION 46
You are using a model that includes a prompt.When is the prompt presented at runtime?

Before data can be displayed

Before predefined widgets are rendered

After all widgets are rendered

After navigating to the widget based on the model

When a model includes a prompt, the prompt is presented at runtime before data can be displayed in the story. The prompt allows users to select the values they want to filter the data by. The prompt is not related to the predefined widgets, the rendering of widgets, or the navigation to widgets. Verified Reference: [SAP Analytics Cloud – Prompting]

NEW QUESTION 47
What are the presentation types for the Digital Boardroom? Note: There are 2 correct answers to this question.

Dashboard

Custom

Agenda

Canvas

NEW QUESTION 48
In which of the following are datapoint comments stored?

In the widget

In the page

In the data model

In the story

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