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| Topic |
Details |
| Topic 1 |
- Connections and data preparation: This domain covers the essential skills of connecting to data sources and preparing data for analysis. SAP Analytics Cloud Data Analysts are expected to show competence in establishing connections to various data sources, including on-premise and cloud-based systems.
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| Topic 2 |
- Performance, troubleshooting, and security management: This domain covers critical aspects of maintaining and optimizing SAP Analytics Cloud environments. It assesses SAP Analytics Cloud Data Analysts' abilities in performance tuning, troubleshooting common issues, and implementing security measures.
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| Topic 3 |
- Data modeling, analysis, and integration: This section focuses on the core analytical capabilities of SAP Analytics Cloud. SAP Analytics Cloud Data Analysts should demonstrate proficiency in creating and managing data models, performing advanced analysis, and integrating data from various sources. The exam assesses skills in creating calculated measures, applying filters, and using advanced analytical functions.
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| Topic 4 |
- Story Design: This section of the exam measures the skills of SAP Analytics Cloud Data Analysts and covers various aspects of story design in SAP Analytics Cloud. The exam assesses the knowledge of candidates who should be able to create effective and visually appealing stories to present data insights. This includes understanding different chart types, layout options, and interactive elements to enhance data visualization and user engagement.
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| Topic 5 |
- Planning: SAP Analytics Cloud Data Analysts are expected to demonstrate proficiency in planning within the SAP Analytics Cloud environment. The exam evaluates the ability to create and manage planning models, including setting up dimensions, accounts, and versions. Candidates should be familiar with creating planning input forms and implementing planning processes.
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SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q36-Q41):
NEW QUESTION # 36
Which of the following data sources can you use in SAP Analytics Cloud data analyzer? Note: There are 3 correct answers to this question.
- A. SAP Datasphere model
- B. SAP Analytics Cloud analytic model
- C. SAP BusinessObjects Universe
- D. SAP HANA view
- E. SAP Analytics Cloud public dataset
Answer: A,B,D
NEW QUESTION # 37
How can you limit the refresh time of a story?
- A. Implement a value driver tree
- B. Create calculated measures
- C. Use canvas pages
- D. Collapse the hierarchy
Answer: D
Explanation:
Collapsing the hierarchy in a story can help limit the refresh time, as it reduces the amount of data that needs to be processed and displayed at any given time. By presenting data at a higher aggregation level initially, you can improve performance and allow users to expand specific sections of the hierarchy as needed for more detailed analysis.
Reference:
SAP Analytics Cloud Help Documentation: Improving Story Performance
SAP Analytics Cloud User Guide: Managing Data Hierarchy for Performance
NEW QUESTION # 38
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. Create a parent-child hierarchy in the dataset.
- B. Create a level-based hierarchy in the dataset.
- C. Convert the embedded dataset to a model.
- D. Create a group that includes the dimensions.
Answer: B
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 # 39
You want to save your data analyzer result. What is it saved as?
- A. Dataset
- B. Story
- C. Model
- D. Insight
Answer: D
NEW QUESTION # 40
Which SAP Analytics Cloud feature uses natural language processing?
- A. Just Ask feature
- B. Digital boardroom
- C. Data analyzer
- D. Smart insight
Answer: D
NEW QUESTION # 41
......
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