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| Topic |
Details |
| Topic 1 |
- 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 2 |
- 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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| 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 |
- 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 5 |
- 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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C_SAC_2421 Excellect Pass Rate & C_SAC_2421 Valid Study Guide
The study material is available in three easy-to-access formats. The first one is PDF format which is printable and portable. You can access it anywhere with your smart devices like smartphones, tablets, and laptops. In addition, you can even print PDF questions in order to study anywhere and pass SAP Certified Associate - Data Analyst - SAP Analytics Cloud (C_SAC_2421) certification exam.
SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q31-Q36):
NEW QUESTION # 31
In a data model, what can you use to further describe a dimension?
- A. Measure
- B. Property
- C. Data action
- D. Variable
Answer: B
Explanation:
In a data model within SAP Analytics Cloud, Properties are used to further describe dimensions. Properties provide additional context or metadata for dimension members, such as descriptions, classifications, or other attributes that help to better understand and analyze the data within the dimension. This makes properties essential for detailed data analysis and reporting.
Reference:
SAP Analytics Cloud Help Documentation: Dimension Properties
SAP Analytics Cloud User Guide: Enhancing Dimensions with Properties
NEW QUESTION # 32
You are creating a data action to copy data from one year to the next.In the parameter for the source year, which default setting must you change?
- A. Hierarchy
- B. Granularity
- C. Level
- D. Cardinality
Answer: D
NEW QUESTION # 33
What type of predictive scenario can write back to a planning model?
- A. Regression
- B. Classification
- C. Time series forecast
- D. Value driver tree
Answer: C
Explanation:
In SAP Analytics Cloud, a Time Series Forecast predictive scenario can write back to a planning model. Time Series Forecasting leverages historical data to predict future values over a specified time horizon, using statistical or machine learning methods. This feature is particularly useful in planning and forecasting processes, where future values are predicted based on past trends and seasonality. The ability to write these forecasts back into a planning model allows for the integration of predictive insights into the planning process, enhancing decision-making and strategic planning.
Reference:
SAP Analytics Cloud Help Documentation: Predictive Scenarios and Planning SAP Analytics Cloud User Guide: Time Series Forecasting in Planning Models
NEW QUESTION # 34
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 group that includes the dimensions.
- C. Create a level-based hierarchy in the dataset.
- D. Convert the embedded dataset to a model.
Answer: C
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 # 35
Which SAP Analytics Cloud feature uses natural language processing?
- A. Data analyzer
- B. Just Ask feature
- C. Smart insight
- D. Digital boardroom
Answer: C
NEW QUESTION # 36
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