C-SAC-2421 EXAM CERTIFICATION COST, C-SAC-2421 NEW EXAM BRAINDUMPS

C-SAC-2421 Exam Certification Cost, C-SAC-2421 New Exam Braindumps

C-SAC-2421 Exam Certification Cost, C-SAC-2421 New Exam Braindumps

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Tags: C-SAC-2421 Exam Certification Cost, C-SAC-2421 New Exam Braindumps, C-SAC-2421 Valid Dumps Questions, C-SAC-2421 Exam Overviews, C-SAC-2421 Latest Exam Duration

The SAP C-SAC-2421 Certification is one of the most valuable certificates in the modern SAP world. This SAP Certified Associate - Data Analyst - SAP Analytics Cloud (C-SAC-2421) certification exam is designed to validate a candidate's skills and knowledge level. With this C-SAC-2421 exam everyone whether he is a beginner or seasoned professional can not only validate their expertise but also get solid proof of their skills and knowledge. By doing this you can gain several personal and professional benefits.

With our C-SAC-2421 study materials, only should you take about 20 - 30 hours to preparation can you attend the exam. The rest of the time you can do anything you want to do to, which can fully reduce your review pressure. Saving time and improving efficiency is the consistent purpose of our C-SAC-2421 Learning Materials. With the help of our C-SAC-2421 exam questions, your review process will no longer be full of pressure and anxiety.

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C-SAC-2421 New Exam Braindumps & C-SAC-2421 Valid Dumps Questions

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SAP C-SAC-2421 Exam Syllabus Topics:

TopicDetails
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.
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
  • 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 4
  • 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 5
  • 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.

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

NEW QUESTION # 30
Where can you create a blank planning version?

  • A. In version management
  • B. In the planning model
  • C. In a data cell
  • D. In the version dimension

Answer: A

Explanation:
A blank planning version in SAP Analytics Cloud can be created within the Version Management feature. This area of the platform allows users to manage different versions of their data, such as budgets, forecasts, and what-if scenarios. Creating a blank version provides a clean slate for planning activities, without pre-existing data, enabling users to start fresh with their assumptions and inputs.
Reference:
SAP Analytics Cloud Help Documentation: Version Management in Planning
SAP Analytics Cloud User Guide: Creating New Versions for Planning


NEW QUESTION # 31
Which dimension type can you use like a measure?

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

Answer: C

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 # 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. Convert the embedded dataset to a model.
  • C. Create a level-based hierarchy in the dataset.
  • D. Create a parent-child hierarchy in the dataset.

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 # 33
Which programming language is used for scripting in an SAP Analytics Cloud story?

  • A. Python
  • B. JavaScript
  • C. ABAP
  • D. Wrangling Expression Language

Answer: B


NEW QUESTION # 34
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 must refresh the story that uses the dataset.
  • B. You must manually reimport the data.
  • C. You can schedule the dataset to update on a regular basis.
  • D. You must create a new dataset.

Answer: C

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 # 35
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