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SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q25-Q30):

NEW QUESTION # 25
You are creating a styling rule for a table. What is the context?

A. The location of the cursor
B. The highest level in the table
C. The most granular level in the table
D. The table header

Answer: A

NEW QUESTION # 26
What can you do to reduce the data refresh time when opening a story? Note: There are 3 correct answers to this question.

A. Load widgets in the background
B. Avaid prompts
C. Use conditional formatting
D. Use responsive pages
E. Avaid tables with more than 500 rows and 60 columns

Answer: A,C,E

NEW QUESTION # 27
You want to save your data analyzer result. What is it saved as?

A. Story
B. Insight
C. Model
D. Dataset

Answer: B

NEW QUESTION # 28
You want to use an input control to filter data appearing in a story. At what level is the filter applied?

A. Story
B. Calculation
C. Page
D. Component

Answer: C

Explanation:
When using an input control to filter data in a SAP Analytics Cloud story, the filter is applied at the Page level. This means that the selected filter criteria will affect all the components (tables, charts, etc.) on that particular page, allowing for a cohesive and consistent view of the data filtered according to the chosen parameters.
Reference:
SAP Analytics Cloud Help Documentation: Filtering Data with Input Controls SAP Analytics Cloud User Guide: Page-Level Filtering in Stories

NEW QUESTION # 29
You import data into a dataset. One of the columns imported is Year, and SAP Analytics Cloud interprets it as a measure. How can you ensure that it is treated as a calendar year?

A. Insert a character into the Year measure using the transform bar.
B. Change the Year measure to a dimension in the dataset.
C. Includes the Year measure in a level-based time hierarchy in the dataset.
D. Add the month as a suffix to the Year measure.

Answer: B

Explanation:
If SAP Analytics Cloud interprets a 'Year' column as a measure instead of a dimension, it should be changed to a dimension to ensure it is treated as a calendar year. This adjustment can be made within the model or dataset settings, where the column's role can be switched from a measure (quantitative value) to a dimension (qualitative value). Treating 'Year' as a dimension allows it to be used appropriately in time-based analyses, such as trends over time, without being aggregated like a numerical measure.

NEW QUESTION # 30
......

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Mike Harris Mike Harris

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