In a table you display a time hierarchy with the years 2024, 2025, and 2026. Months, quarters, and half years are also displayed for each year. You want to apply the formatting of the year 2024 to the years 2025 and 2026. In styling rules, which level option do you select?
Answer(s): C
To apply the formatting of the year 2024 to the years 2025 and 2026, you need to use the level option Self and Descendants in the styling rules. This option applies the formatting to the selected member and all its lower-level members in the hierarchy. In this case, the selected member is the year 2024, and its lower-level members are the months, quarters, and half years that belong to 2024. The formatting will also be applied to the years 2025 and 2026, and their lower-level members, because they are at the same level as 2024 in the hierarchy.The other level options are:Self: This option applies the formatting only to the selected member, not to any other members in the hierarchy. In this case, the selected member is the year 2024, and the formatting will not be applied to any other years or lower-level members.Self and Siblings: This option applies the formatting to the selected member and all its siblings, which are members at the same level in the hierarchy. In this case, the selected member is the year 2024, and its siblings are the years 2025 and 2026. The formatting will be applied to these three years, but not to their lower-level members.Self and Children: This option applies the formatting to the selected member and its immediate children, which are members one level below in the hierarchy. In this case, the selected member is the year 2024, and its immediate children are the quarters and half years that belong to 2024. The formatting will be applied to these members, but not to any other years or months.
1: Styling Rules for Tables
To which models can you add data point comments? Note: There are 2 correct answers to this question.
Answer(s): B,C
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 data. You can also reply to, edit, or delete existing comments. Data point comments are supported for the following models:Import modelsPlanning modelsBlended modelsData 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 widget.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 properties.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 properties.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 data.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.
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]
Which of the following can you use to create a chart for each member of a dimension?
Answer(s): D
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 dimension. 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 data. 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 data. 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 data. However, this feature does not create a separate page for each member of a dimension.
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
In the Optimized Design Experience, which SAP Analytics Cloud tool replaces Explorer?
Answer(s): B
In the Optimized Design Experience, Data Analyzer is a new tool that replaces Explorer. Data Analyzer allows you to quickly create ad hoc analysis based on models or datasets. You can use Data Analyzer to explore data, create charts and tables, apply filters and calculations, and save your analysis as stories. Data Analyzer is similar to Explorer, but with some enhancements and new features, such as:Support for both models and datasetsSupport for planning modelsSupport for story calculationsSupport for linked analysisSupport for responsive pagesTherefore, the correct answer is Data Analyzer, as it is the tool that replaces Explorer in the Optimized Design Experience
What are limitations of datasets?Note: There are 2 correct answers to this question.
Answer(s): A,B
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.
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question 59 - a newly-created role is not assigned to any user, nor granted to any other role. answer is b https://docs.snowflake.com/en/user-guide/security-access-control-overview
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question # 232: accessibility, privacy, and innovation are not data quality dimensions.
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