HIGH HIT RATE PASSING C-SAC-2421 SCORE PROVIDE PREFECT ASSISTANCE IN C-SAC-2421 PREPARATION

High Hit Rate Passing C-SAC-2421 Score Provide Prefect Assistance in C-SAC-2421 Preparation

High Hit Rate Passing C-SAC-2421 Score Provide Prefect Assistance in C-SAC-2421 Preparation

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SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q50-Q55):

NEW QUESTION # 50
You have a dataset that extracts data from an SAP Business Warehouse (SAP BW) system. The data in the SAP BW system changes. How can you update the dataset?

  • A. You can schedule the dataset to update on a regular basis.
  • B. You must refresh the story that uses the dataset.
  • C. You must manually reimport the data.
  • D. You must create a new dataset.

Answer: A

Explanation:
For datasets that extract data from external systems like SAP Business Warehouse (SAP BW), SAP Analytics Cloud provides the capability to schedule updates on a regular basis. This feature ensures that the dataset within SAP Analytics Cloud remains up-to-date with the latest changes from the SAP BW system, without the need for manual reimport or creating a new dataset. Scheduled updates can be configured to run at specific intervals, automating the data refresh process.
Reference:
SAP Analytics Cloud Help Documentation: Scheduling Data Refresh
SAP Analytics Cloud User Guide: Automating Dataset Updates from External Sources


NEW QUESTION # 51
You have a dimension with members for product groups and products. Each product group has associated products. You want to plan by product group without disaggregating into the products. How can you do this?

  • A. Use two hierarchies
  • B. Use two properties
  • C. Dis-able distribution
  • D. Dis-able allocations

Answer: A

Explanation:
When you have a dimension with members for product groups and associated products and want to plan by product group without disaggregating into the individual products, using two hierarchies is the best approach. One hierarchy can represent the product groups at a higher level, allowing for planning and analysis at the group level. The second hierarchy can include both the product groups and their associated individual products for more detailed analysis when needed. This approach provides flexibility in planning and analyzing data at different levels of detail without the necessity of disaggregating data at the product group level.
Reference:
SAP Analytics Cloud Help Documentation: Hierarchies in Planning
SAP Analytics Cloud User Guide: Managing Hierarchies for Planning


NEW QUESTION # 52
In which types of data source can you concatenate data? Note: There are 3 correct answers to this question.

  • A. Data analyzer insight
  • B. Imported data model
  • C. Embedded data set
  • D. Standalone dataset
  • E. Live data model

Answer: B,C,D

Explanation:
In SAP Analytics Cloud, data concatenation can be performed on Embedded datasets, Standalone datasets, and Imported data models. This process involves combining data from multiple sources or tables into a single dataset or model, providing a unified view of the data. This is particularly useful for analyses that require a comprehensive dataset compiled from various data sources.
Reference:
SAP Analytics Cloud Help Documentation: Working with Datasets
SAP Analytics Cloud User Guide: Concatenating Data in Models and Datasets


NEW QUESTION # 53
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. Component
  • D. Page

Answer: D

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 # 54
What can you use to organize dimensions into logical categories in a live model?

  • A. Groups
  • B. Parent-child hierarchy
  • C. Level-based hierarchy
  • D. Value driver tree

Answer: B

Explanation:
In a live model within SAP Analytics Cloud, dimensions can be organized into logical categories using either level-based hierarchies or parent-child hierarchies. Level-based hierarchies are used when the relationships between items are defined by distinct levels, such as Geography might be divided into Country, State, and City levels. Parent-child hierarchies, on the other hand, are useful when the data's hierarchy is not strictly defined by levels but by a parent relationship where a child member is associated with a parent member, which is common in organizational structures or product categories.
Reference:
SAP Analytics Cloud Help Documentation: Creating and Managing Hierarchies SAP Analytics Cloud User Guide: Working with Models


NEW QUESTION # 55
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