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Accurate C_SAC_2421 Valid Exam Fee & Leading Offer in Qualification Exams & Free PDF C_SAC_2421: SAP Certified Associate - Data Analyst - SAP Analytics Cloud

Accurate C_SAC_2421 Valid Exam Fee & Leading Offer in Qualification Exams & Free PDF C_SAC_2421: SAP Certified Associate - Data Analyst - SAP Analytics Cloud

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SAP C_SAC_2421 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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.
Topic 2
  • 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.
Topic 3
  • 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.
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.
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.

SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q30-Q35):

NEW QUESTION # 30
What can you do with a multi action? Note: There are 2 correct answers to this question.

  • A. Import transaction data
  • B. Approve data
  • C. Run allocation data actions
  • D. Run allocation processes

Answer: A,C


NEW QUESTION # 31
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. Increase the overall size of the chart widget on the page
  • B. Select the Avoid Data Label Overlap checkbox
  • C. Increase the font size of the axis labels

Answer: B

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 # 32
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 group that includes the dimensions.
  • B. Create a level-based hierarchy in the dataset.
  • C. Create a parent-child hierarchy in the dataset.
  • D. Convert the embedded dataset to a model.

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 # 33
What type of predictive scenario can write back to a planning model?

  • A. Regression
  • B. Time series forecast
  • C. Value driver tree
  • D. Classification

Answer: B

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
Which dimension type can you use like a measure?

  • A. Entity
  • B. Account
  • C. Organization
  • D. Date

Answer: B

Explanation:
In SAP Analytics Cloud, the Account dimension can be used similarly to a measure. This dimension is specifically designed for financial data and can hold various types of financial metrics, such as revenues, expenses, assets, and liabilities. It allows for the application of financial calculations and aggregations, which is why it can function similarly to measures in the context of financial reporting and analysis.
Reference:
SAP Analytics Cloud Help Documentation: Understanding Dimensions and Measures SAP Analytics Cloud User Guide: Working with Account Dimensions


NEW QUESTION # 35
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