The data source connection that can be used in SAP Analytics Cloud to wrangle data is imported. Imported data sources are data files that are uploaded to SAP Analytics Cloud and stored in its internal database. Users can wrangle imported data sources using the Data Preparation feature, which allows them to transform, enrich, cleanse, and merge data. Live and public data sources cannot be used to wrangle data in SAP Analytics Cloud; live data sources remain in their original systems and public data sources are read-only datasets provided by SAP. Verified Reference: [SAP Analytics Cloud – Data Preparation]

The valid targets for hyperlinks are external websites, SAP Analytics Cloud stories, and SAP Analytics Cloud story pages. External websites are web pages that are outside of SAP Analytics Cloud, such as https://www.sap.com. SAP Analytics Cloud stories are presentation-style documents that use charts, visualizations, text, images, and pictograms to describe dat a. SAP Analytics Cloud story pages are individual pages within a story that contain one or more widgets. SAP BusinessObjects Web Intelligence documents and SAP Analysis for Microsoft Office workbooks are not valid targets for hyperlinks; they are different types of documents that are not supported by SAP Analytics Cloud. Verified Reference: [SAP Analytics Cloud – Hyperlinks]

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

You can use table templates and styling rules to change the formatting of a table in the Styling panel. Table templates allow you to apply predefined formats to tables, such as alternating row colors, grid lines, and font sizes. Styling rules allow you to apply conditional formatting to tables, such as changing the background color, font color, or icon based on certain criteri a. In-cell charts and thresholds are not available in the Styling panel; they are options that can be enabled or disabled in the Builder panel. Verified Reference: [SAP Analytics Cloud – Table Formatting]

A data source is an object that contains data that you can use to create stories or other objects in SAP Analytics Cloud. There are four types of data sources in SAP Analytics Cloud:
Model: A model is a structured representation of your data that defines how the data is organized and calculated. You can create models by importing data from various sources or connecting to live data systems.
Dataset: A dataset is a type of data source that allows you to import data from files

A page type is a property that determines how the elements on a page are arranged and displayed. There are three page types in SAP Analytics Cloud: Canvas, Grid, and Responsive. The page type that is recommended when designing stories is Responsive, as it offers the following advantages:
It automatically adjusts the layout and size of the elements to fit different screen sizes and orientations.
It provides a consistent and optimal viewing experience across different devices, such as desktops, tablets, and mobile phones.
It supports all types of elements, such as charts, tables, geo maps, images, text, etc.
It supports advanced features, such as linked analysis, input controls, story filters, etc.
Therefore, the correct answer is Responsive, as it is the recommended page type when designing 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 schem
a. 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.

Data point comments are a feature that allows you to add comments to specific data points in a story. You can use data point comments to provide additional information, context, or feedback on the dat a. You can also reply to, edit, or delete existing comments. Data point comments are supported for the following models:
Import models
Planning models
Blended models
Data point comments are not supported for live models, such as SAP S/4HANA live model or BPC live model. Therefore, the correct answer is Import planning model and Blended model, as they are the models that support data point comments.
Data point comments are comments that you can add to a specific value in a table or a comment widget. They are similar to commenting on a single cell in Microsoft Excel. Data point comments are associated with the models, which means that they will appear in any story that uses the same model and has the same value in a table or a comment widget1.
Data point comments can be added to the following models:
Import planning model: This is a model that you create by importing data from a file or a database. You can use this model for planning scenarios, such as budgeting, forecasting, or what-if analysis. You can enable data point comments for this model by selecting the Allow Data Point Comments option in the model properties2.
BPC live model: This is a model that you create by connecting to a SAP Business Planning and Consolidation (BPC) system. You can use this model for real-time planning and analysis with BPC data. You can enable data point comments for this model by selecting the Allow Data Point Comments option in the model properties3.
Data point comments cannot be added to the following models:
SAP S/4HANA live model: This is a model that you create by connecting to a SAP S/4HANA system. You can use this model for real-time analysis with SAP S/4HANA data. However, this model does not support data point comments, because it is read-only and does not allow any changes to the data4.
Blended model: This is a model that you create by blending data from two or more models. You can use this model for combining and analyzing data from different sources. However, this model does not support data point comments, because it is derived from other models and does not have its own data.
Reference:
1: Using Data Point Comments – SAP Learning 2: Creating an Import Planning Model – SAP Learning 3: Creating a BPC Live Model – SAP Learning 4: Creating an SAP S/4HANA Live Model – SAP Learning : [Blending Data from Multiple Models – SAP Learning]