HIGH HIT-RATE SAP - FLEXIBLE C_SAC_2421 LEARNING MODE

High Hit-Rate SAP - Flexible C_SAC_2421 Learning Mode

High Hit-Rate SAP - Flexible C_SAC_2421 Learning Mode

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Tags: Flexible C_SAC_2421 Learning Mode, Passing C_SAC_2421 Score, Valid C_SAC_2421 Exam Tutorial, C_SAC_2421 Reliable Exam Blueprint, Accurate C_SAC_2421 Prep Material

You must want to know your scores after finishing exercising our C_SAC_2421 study materials, which help you judge your revision. Now, our windows software and online test engine of the C_SAC_2421 study materials can meet your requirements. You can choose from two modules: virtual exam and practice exam. Then you are required to answer every question of the C_SAC_2421 Study Materials. In order to make sure you have answered all questions, we have answer list to help you check.

SAP C_SAC_2421 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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.
Topic 3
  • 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.
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.
Topic 5
  • 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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SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q55-Q60):

NEW QUESTION # 55
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. Select the Avoid Data Label Overlap checkbox
  • B. Increase the font size of the axis labels
  • C. Increase the overall size of the chart widget on the page

Answer: A

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 # 56
What can you use input controls for in a story? Note: There are 2 correct answers to this question.

  • A. Implementing row-level and column-level security in a table
  • B. Selecting an alternate data source
  • C. Filtering data on a page
  • D. Changing dimensions or measures displayed in a table

Answer: C,D

Explanation:
Input controls in a story in SAP Analytics Cloud can be used for changing dimensions or measures displayed in a table and for filtering data on a page. Input controls provide a way for users to interactively modify the view of the data, such as selecting which dimensions or measures to display, or filtering the entire page's content based on selected criteria, enhancing the interactivity and flexibility of data analysis within stories.
Reference:
SAP Analytics Cloud Help Documentation: Input Controls in Stories
SAP Analytics Cloud User Guide: Using Input Controls for Data Interaction


NEW QUESTION # 57
Where can you change a data lock status? Note: There are 2 correct answers to this question.

  • A. Data action
  • B. Multi action
  • C. Calendar task
  • D. Value lock management

Answer: B,C


NEW QUESTION # 58
What are the available connection types in SAP Analytics Cloud? Note: There are 2 correct answers to this question.

  • A. On-premise
  • B. Cloud
  • C. Live
  • D. Import

Answer: C,D

Explanation:
SAP Analytics Cloud supports two primary types of data connections: Live Data Connection and Import Data Connection. Live Data Connection establishes a direct link to the data source, allowing real-time data access without replicating the data into SAP Analytics Cloud. This is ideal for scenarios where up-to-the-minute data is crucial, and data volume is large. On the other hand, Import Data Connection involves copying data from the source into SAP Analytics Cloud, which is suitable for scenarios where data doesn't change frequently, or there's a need for data transformation and enrichment within SAP Analytics Cloud.
Reference:
SAP Analytics Cloud Help Documentation: Data Connections Overview
SAP Analytics Cloud User Guide: Live Data vs. Import Data Scenarios


NEW QUESTION # 59
What can you use to organize dimensions into logical categories in a live model?

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

Answer: A

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 # 60
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