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所在平台: Udemy |
课程主页: https://www.udemy.com/course/servicenow-cas-pa-performance-analytics-exam-aug-2024/
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课程名称：CAS-PA 性能分析考试准备（2025年4月）——ServiceNow 概述：欢迎大家！本课程旨在帮助您准备并通过最新的 ServiceNow CAS-PA 认证实践考试（横滨2025版）。这些模拟测试基于2025年4月 ServiceNow CAS-PA 考试中直接提问的问题设计，并每月根据 CAS-PA 的变化进行更新。同时，课程提供了基于官方 ServiceNow 培训材料、文档中心和开发者站点的解释。因此，在审阅这些模拟考试解决方案时，建议您查看上述 ServiceNow 文档，以深入了解相关主题并掌握性能分析模块的概念。请注意，这不应被视为官方学习或考试材料，仅可用于主线考试的练习。不能期待在实际主线考试中会出现所有模拟考试中的问题。 考试范围：考试内容分为多个学习领域，重点包括以下几点及其所占比例： 1. 架构与部署 [10%] - 列出平台分析解决方案的组件 - 定义部署任务及顺序 - 识别常见用例 - 描述角色和利益相关者 2. 配置指标及其来源 [25%] - 配置来源条件和事实表 - 区分指标类型 - 定义指标配置属性 - 创建聚合脚本 3. 配置细分及其来源 [25%] - 配置细分来源 - 执行细分映射 - 创建细分矩阵并应用排除项 - 为脚本化细分映射创建脚本 - 配置桶组 4. 数据收集 [10%] - 定义数据收集流程 - 配置收集属性 - 微调和排除收集问题 5. 数据可视化与仪表板 [25%] - 构建平台分析可视化 - 配置和应用统一过滤器 - 选择合适的可视化方式 - 创建仪表板并管理访问权限 - 管理仪表板性能 - 使用KPI详情分析数据 6. 管理与高级实施解决方案 [5%] - 通过内容包加速部署 - 利用平台功能进行高级数据收集场景 - 配置聚焦点 考试结构：考试包含60道题目，每题有多个可能的回答选项。考生需仔细审查选项并选择最正确的答案。类型包括单选题和多选题。这些模拟测试包含超过120个问题。每个题目都有多个可能的回答，考生应审查并选择最正确的答案。
Welcome everyone! I'm here to help you prepare and pass the latest ServiceNow CAS-PA Certification Practice Test (Yokohama 2025 Release).These ServiceNow CAS-PA Mock Tests are crafted from the direct questions that are asked in the ServiceNow CAS-PA exams in April 2025 (updated monthly depending on CAS-PA changes) and also give you the explanations based on official ServiceNow training materials, the ServiceNow documentation site, and the ServiceNow Developer Site. So while you are looking at these practice exam solutions, it is recommended to check the above ServiceNow documentation to learn more about that topic and stay clear with the concepts of how to master the Performance Analytics module.This should not be considered the official study or exam materials and should only be used to practice for the mainline exam. You should not expect all questions in this practice exam to be in the actual mainline exam.Exam ScopeLearning domains are the key topics and specific objectives included in the exam. Exam content or exam items are divided into learning domains.The following table shows the learning domains, weightings, subtopics, and the percentage of questions represented in each domain. The listed sub-skills should NOT be considered an all-inclusive list of the exam content.1. Architecture and Deployment [10%]List the Platform Analytics solution componentsDefine Deployment Tasks and SequenceIdentify Common Use CasesDescribe Personas and Stakeholders2. Configure Indicators and Indicator Sources [25%]Configure Source Conditions and Facts TablesDistinguish between Indicator TypesDefine Indicator Configuration PropertiesCreate Aggregation Scripts3. Configure Breakdowns and Breakdown Sources [25%]Configure Breakdown SourcesPerform Breakdown MappingsCreate Breakdown Matrix and apply ExclusionsCreate Scripts for Scripted Breakdown MappingConfigure Bucket Groups4. Data Collection [10%]Define the Data Collection Process FlowConfigure Collection Configuration PropertiesFine-Tune and Troubleshoot Collection5. Data Visualization and Dashboards [25%]Build Platform Analytics VisualizationsConfigure and apply Unified FiltersChoose the Appropriate VisualizationCreate Dashboards and Manage AccessManage Dashboard PerformanceAnalyze data using KPI Details6. Administration and Advanced Implementation Solutions [5%]Accelerate deployment with Content PacksLeverage platform features advanced data collection scenarios.Configure SpotlightExam StructureThe exam consists of 60 questions. For each question on the examination, there are multiple possible responses. The person taking the exam reviews the response options and selects the most correct answer to the question.Multiple Choice (single answer)Multiple Select (select all that apply)These practice tests consist of more than 120 questions. There are multiple possible responses to each question on the examination. You should review the response options and select the most correct answer.
