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SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q29-Q34):
NEW QUESTION # 29
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. Select the Avoid Data Label Overlap checkbox
- B. Increase the font size of the axis labels
- C. Increase the overall size of the chart widget on the page
Answer: A
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 # 30
Which programming language is used for scripting in an SAP Analytics Cloud story?
- A. Wrangling Expression Language
- B. JavaScript
- C. Python
- D. ABAP
Answer: B
NEW QUESTION # 31
What can you do to reduce the data refresh time when opening a story? Note: There are 3 correct answers to this question.
- A. Use responsive pages
- B. Avaid prompts
- C. Avaid tables with more than 500 rows and 60 columns
- D. Use conditional formatting
- E. Load widgets in the background
Answer: C,D,E
NEW QUESTION # 32
What are the available connection types in SAP Analytics Cloud? Note: There are 2 correct answers to this question.
- A. Live
- B. On-premise
- C. Import
- D. Cloud
Answer: A,C
Explanation:
SAP Analytics Cloud supports two primary types of data connections: Live Data Connection and Import Data Connection. Live Data Connection establishes a direct link to the data source, allowing real-time data access without replicating the data into SAP Analytics Cloud. This is ideal for scenarios where up-to-the-minute data is crucial, and data volume is large. On the other hand, Import Data Connection involves copying data from the source into SAP Analytics Cloud, which is suitable for scenarios where data doesn't change frequently, or there's a need for data transformation and enrichment within SAP Analytics Cloud.
Reference:
SAP Analytics Cloud Help Documentation: Data Connections Overview
SAP Analytics Cloud User Guide: Live Data vs. Import Data Scenarios
NEW QUESTION # 33
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. Convert the embedded dataset to a model.
- B. Create a group that includes the dimensions.
- C. Create a parent-child hierarchy in the dataset.
- D. Create a level-based hierarchy in the dataset.
Answer: D
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 # 34
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