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所在平台: Udemy |
课程主页: https://www.udemy.com/course/c_sac_2402/
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**课程总结：C_SAC_2402 - SAP Analytics Cloud 考试准备** 本课程旨在帮助您为 **C_SAC_2402 - SAP Certified Associate - Data Analyst - SAP Analytics Cloud** 认证考试做好充分准备。 **课程亮点：** * **海量试题：** 提供超过 250 道考试题目，全面覆盖 C_SAC_2402 认证考试的所有相关主题。 * **附加 bonus：** 包含 C_SACP 认证的额外题目，进一步拓展您的知识广度。 * **高通过率保障：** 课程设计旨在帮助您在模拟测试中达到至少 90% 的准确率。通过此模拟测试，将极大提高您通过真实 SAP 认证考试的可能性。 **SAP 认证考试详情：** * **考试 ID:** C_SAC_2402 * **考试标题:** SAP Certified Associate - Data Analyst - SAP Analytics Cloud * **考试级别:** Associate (助理) * **考试题目数量:** 60 道 * **及格分数:** 70% * **考试时长:** 120 分钟 * **考试语言:** 英语 * **其他学习资源:** SACE11, SACM21, SACP21, SACS21 **考试重点领域（Topic Areas）：** 1. **故事设计 (Story Design) (31% - 40%):** * 设计和呈现故事。 * 配置故事元素：页面、表格、图表和其他控件。 * 格式化、过滤和操作数据。 2. **数据建模、分析与集成 (Data modeling, analysis, and integration) (21% - 30%):** * 在 SAP Analytics Cloud 中创建和配置模型。 * 说明 Data Analyzer 的作用和主要功能。 * 将 SAC 与外部应用程序集成。 3. **规划 (Planning) (21% - 30%):** * SAP Analytics Cloud 企业规划功能的概述。 * 使用规划模型和故事。 * 配置数据操作（Data Actions）。 * 管理版本。 * 进行预测和模拟。 4. **连接与数据准备 (Connections and data preparation) (11% - 20%):** * 确定 SAC 访问数据的各种方式及其适用场景。 * 区分不同类型的模型和数据集。 5. **性能、故障排除与安全管理 (Performance, troubleshooting, and security management) (11% - 20%):** * 识别性能瓶颈、原因及解决方法。 * 描述 SAP Analytics Cloud 的安全模型。 本课程是您成功通过 C_SAC_2402 认证考试的理想学习工具。
This course offers 250+ exam questions to prepare for your C_SAC_2402 certification including additional questions from C_SACP certification in a bonus set. All of the relevant topic areas are covered in this practice test. Try to score at least 90% in this test. If you manage to pass our practice test, you are well prepared for the real SAP certification exam.Details of the SAP Certification Exam:ID: C_SAC_2402Title: SAP Certified Associate - Data Analyst - SAP Analytics CloudLevel: AssociateExam: 60 questionsCut Score: 70%Duration: 120 minsLanguages: EnglishAdditional Preparation Material:SACE11SACM21SACP21SACS21Topic Areas:Story Design: 31% - 40%Design and present stories; configure story elements - pages, tables, charts, and other widgets; format, filter, and manipulate dataData modeling, analysis, and integration: 21% - 30%Create and configure models in SAP Analytics Cloud; Describe the role and main features of the Data Analyzer; Integrate SAC with external applications Planning: 21% - 30%Overview of the enterprise planning features of SAP Analytics Cloud; Working with planning models and stories; configuring data actions; managing versions; forecasting and simulations.Connections and data preparation: 11% - 20%Identify the various ways SAC can access data and appropriate use cases for each; Differentiate among types of models and datasetsPerformance, troubleshooting, and security management: 11% - 20%Identify performance bottlenecks, causes and remedies; Describe the security model in SAP Analytics Cloud
