您提供的是Informatica Cloud（ICC）课程大纲的概览，涵盖了从数据模型智能发现到API接口的各种主题。以下是对这些模块的简要说明：

1. **Module 1: Introduction to Informatica Cloud**
   - 介绍Informatica Cloud平台和其功能，包括界面概览、数据管理和集成的基础知识。

2. **Module 2: Setting Up Your ICC Environment**
   - 步骤说明如何设置您的Informatica Cloud环境，包括创建组织、用户和权限管理。

3. **Module 3: Data Integration Basics**
   - 介绍Informatica Cloud中的数据集成基本概念，包括源与目标、映射和任务的创建。

4. **Module 4: Advanced Mapping Features**
   - 深入探讨Mapping Transformation的高级功能，如自定义脚本、表达式、函数等。

5. **Module 5: Data Quality and Profiling**
   - 介绍Informatica Cloud的数据质量和数据概览功能，以及如何使用它们来清洗和验证数据。

6. **Module 6: Data Migration to Snowflake**
   - 专注于将数据迁移到Snowflake数据库的过程。

7. **Module 7: Using Hierarchy Parser Transformation**
   - 学习如何使用Hierarchy Parser Transformation来解析复杂的父子关系数据。

8. **Module 8: Using Hierarchy Builder Transformation**
   - 学习如何使用Hierarchy Builder Transformation来构建层次结构数据。

9. **Module 13: Intelligent Structure Model**
   - 介绍智能数据模型的概念，包括智能结构发现流程和例子。

10. **Module 14: Advanced Task Settings and Performance Tuning**
    - 探讨高级任务设置和性能调优，如主键分片、查找SQL覆盖、分区策略等。

11. **Module 15: Exception Handling**
    - 介绍在Informatica Cloud中处理异常的方法，包括不同类型的异常处理和错误日志记录。

12. **Module 16: Administration**
    - 学习如何管理Informatica Cloud组织，包括用户角色、权限设置和资产导入/导出。

13. **Module 17: Automating and Monitoring Tasks**
    - 介绍如何安排任务并监控其执行情况。

14. **Module 18: IICS APIs**
    - 学习Informatica Cloud提供的REST API，包括如何使用API来运行映射和数据集成任务。

这个课程大纲涵盖了从基础到高级的所有主要概念，适合希望在Informatica Cloud平台上进行数据集成和管理的开发者、系统工程师和数据工程师。通过这些模块，学习者将能够设置环境、创建映射、处理异常、监控任务以及自动化工作流程，同时还能够编写和执行API调用来与Informatica Cloud平台交互。

This test measures your knowledge of Informatica Cloud Services Data and Application Integration. Measured areas include Informatica Cloud architecture, data integration features, data synchronization, cloud mapping designer, data masking, and data replication. It will test your knowledge of integrating applications and systems, the implementation of business processes, using the process designer, and exposing composite APIs.You may select from one or more response offerings to answer a question. The test will contain 135 questions comprised of topics that span across the sections&nbsp; below.Module 1: Informatica Cloud Overview<ul><li>Informatica Intelligent Cloud Services (IICS) as an iPaaS solution</li><li>Informatica Cloud Terminologies</li><li>Informatica Cloud Architecture</li><li>CDI Assets</li><li>CDI Components</li><li>Lab: Navigating the IICS interface</li></ul>Module 2: Runtime Environments and Connections<ul><li>Runtime Environments</li><li>Secure Agent Architecture</li><li>IICS Log Files</li><li>Connections</li><li>Connection Types</li><li>Creating Connections</li><li>Lab: Installing IICS Secure Agent</li><li>Lab: Creating a Salesforce connection</li><li>Lab: Creating a Flat File connection</li><li>Lab: Creating an Oracle connection</li></ul>Module 3: Synchronization Task<ul><li>Synchronization Task Overview</li><li>Synchronization Task – Definition Step</li><li>Synchronization Task – Source Step</li><li>Synchronization Task – Target Step</li><li>Synchronization Task – Data Filters Step</li><li>Synchronization Task – Field Mapping Step</li><li>Synchronization Task – Schedule Step</li><li>Activity Monitor</li><li>Lab: Creating a Synchronization Task</li><li>Lab: Using Filter, Expression and Lookup in a Synchronization Task</li></ul>Module 4: Cloud Mapping Designer<ul><li>Cloud Mapping Designer Overview</li><li>Mapping Designer Terminologies</li><li>CLAIRE Transformation Recommendations</li><li>Mapping Data Preview</li><li>Customizing Mapping Preview</li><li>Field Rules</li><li>Best Practices for Creating Mappings</li><li>Data flow run order</li><li>Mapping Task</li><li>Deploy mapping updates</li></ul>Module 5: Cloud Mapping Designer - Transformations<ul><li>Source Transformation</li><li>Target Transformation</li><li>Filter Transformation</li><li>Joiner Transformation</li><li>Expression Transformation</li><li>Lookup Transformation</li><li>Union Transformation</li><li>Mapplets</li><li>SQL Transformation</li><li>Aggregator Transformation</li><li>Normalizer Transformation</li><li>Rank Transformation</li><li>Data Masking Transformation</li><li>Java Transformation</li><li>Lab: Using Query in a Mapping</li><li>Lab: Using Normalizer, Aggregator, and Rank transformations in a mapping</li><li>Lab: Using Unconnected Lookup transformation in a mapping</li><li>Lab: Using Mapplet transformation in a mapping</li></ul>Module 6: Mapping Parameters<ul><li>Parameterization use cases</li><li>Adding Parameters to a Mapping</li><li>Creating parameters</li><li>Parameter Types</li><li>Using parameter files</li><li>Parameter Best Practices</li><li>Lab: Performing Complete Parameterization</li><li>Lab: Using Parameter File in a Mapping task</li><li>Lab: Using In-Out parameters for incremental data loading</li></ul>Module 7: Expression Macro and Dynamic Linking<ul><li>Expression Macro</li><li>Dynamic Linking</li><li>Lab: Using Expression Macro in a mapping</li><li>Lab: Using Dynamic Linking in a mapping </li></ul>Module 8: Replication Task<ul><li>Replication Task Overview</li><li>Replication Task Features</li><li>Replication Task: Source and Target Options</li><li>Other Replication Task Options</li><li>Resetting the Target Table</li><li>Generating Non-Unique Index</li><li>Appendix: Replicating Data to a Flat file</li></ul>Module 9: Masking Task<ul><li>Masking Task Overview</li><li>Masking Task: Source and Target Options</li><li>Data Subset: Row Limits and Data Filters</li><li>Field Masking Rules</li><li>Masking Rule Types</li><li>Refresh Masking Task metadata</li><li>Reset a Masking Task</li><li>Masking Best Practices</li><li>Appendix: Creating a Masking Task</li></ul>Module 10: Mass Ingestion Task<ul><li>Mass Ingestion Task Overview</li><li>Functionalities</li><li>Configuring a Mass Ingestion Task</li><li>File Ingestion Task</li><li>Database Ingestion Task</li><li>Streaming Ingestion Task</li><li>Lab: Creating a Streaming Ingestion Task</li></ul>Module 11: Taskflows<ul><li>Taskflow overview</li><li>Linear Taskflows</li><li>File Listener Enhancements</li><li>Taskflow Steps</li><li>Taskflow Templates</li><li>Parameters in Taskflow</li><li>Using REST APIs</li><li>Invoke a Taskflow through a File Listener</li><li>Lab: Passing in-out parameters in a Taskflow</li><li>Lab: Invoking a Taskflow through a File Listener</li></ul>Module 12: Hierarchical Connectivity<ul><li>Web Service transformation </li><li>REST V2 Connector</li><li>Hierarchical Schemas</li><li>Hierarchy Parser Transformation</li><li>Hierarchy Builder Transformation</li><li>Lab: Creating a mapping using a REST V2 connector</li><li>Lab: Using Web Services transformation in a mapping</li><li>Lab: Using Hierarchy Parser and Hierarchy Builder Transformation</li></ul>Module 13: Intelligent Structure Model<ul><li>Intelligent Structure Model</li><li>Intelligent Structure Discovery Process</li><li>Intelligent Structure Example</li><li>Refining a Discovered Structure</li><li>Editing an Intelligent Structure Model</li><li>Intelligent structure models based on an XSD file</li><li>Using intelligent structure models in Structure Parser transformation</li><li>Lab: Creating an Intelligent Structure Model</li><li>Lab: Using Structure Parser transformation in a mapping</li></ul>Module 14: Advanced Task Settings and Performance Tuning<ul><li>Primary Key Chunking</li><li>Lookup SQL Override</li><li>Partitions Overview</li><li>Types of Partitions</li><li>Partitioning Rules and Guidelines</li><li>Pushdown optimization overview</li><li>Types of pushdown optimization</li><li>Pushdown optimization user-defined parameters</li><li>Secure agent groups</li><li>Shared secure agent groups</li><li>DTM performance properties</li></ul>Module 15: Exception Handling<ul><li>Types of exceptions</li><li>User-defined exceptions</li><li>Non-fatal exceptions</li><li>Default Field Value Setting</li><li>Row Error Logging</li><li>Error handling settings</li><li>Fatal exceptions</li><li>Bad files or Reject files</li><li>Lab: Creating a mapping to handle non-fatal errors</li></ul>Module 16: Administration<ul><li>Licenses</li><li>Administrator Service</li><li>User Roles (System-defined Roles and Custom Roles)</li><li>Creating a User</li><li>User Groups</li><li>Permissions</li><li>Object-Level Permissions</li><li>Organization Hierarchy</li><li>Sub-Organization</li><li>Importing and Exporting Assets</li><li>Asset Dependency</li><li>Add-on Bundles</li><li>Lab: Configure Administrative settings for your Informatica Cloud org</li><li>Lab: Creating a sub-organization and importing/exporting assets</li></ul>Module 17: Automating and Monitoring Tasks<ul><li>Schedules</li><li>Schedule Repeat Frequency</li><li>Schedule Blackout Period</li><li>Schedule Export</li><li>Monitoring tasks</li><li>Email Notifications</li><li>Event Monitoring</li><li>Lab: Creating a schedule</li></ul>Module 18: IICS APIs<ul><li>REST API overview</li><li>Informatica Cloud REST API</li><li>REST API Versions</li><li>Request Header and Request Body configuration</li><li>Return Lists</li><li>Demo: RunAJob Utility</li><li>Lab: Running a Mapping task using REST API</li></ul>

Practices Tests Certification Informatica  R34,IICS,Cloud 101,Cloud 201

IT Certification

Informatica Data Integration , Intelligent Cloud Services

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Big Data

Informatica Intelligent Cloud Services (IICS)

Cloud Architecture

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您提供的是Informatica Cloud（ICC）课程大纲的概览，涵盖了从数据模型智能发现到API接口的各种主题。以下是对这些模块的简要说明：
<ol>
<li>
Module 1: Introduction to Informatica Cloud
<ul>
<li>介绍Informatica Cloud平台和其功能，包括界面概览、数据管理和集成的基础知识。</li>
</ul>
</li>
<li>
Module 2: Setting Up Your ICC Environment
<ul>
<li>步骤说明如何设置您的Informatica Cloud环境，包括创建组织、用户和权限管理。</li>
</ul>
</li>
<li>
Module 3: Data Integration Basics
<ul>
<li>介绍Informatica Cloud中的数据集成基本概念，包括源与目标、映射和任务的创建。</li>
</ul>
</li>
<li>
Module 4: Advanced Mapping Features
<ul>
<li>深入探讨Mapping Transformation的高级功能，如自定义脚本、表达式、函数等。</li>
</ul>
</li>
<li>
Module 5: Data Quality and Profiling
<ul>
<li>介绍Informatica Cloud的数据质量和数据概览功能，以及如何使用它们来清洗和验证数据。</li>
</ul>
</li>
<li>
Module 6: Data Migration to Snowflake
<ul>
<li>专注于将数据迁移到Snowflake数据库的过程。</li>
</ul>
</li>
<li>
Module 7: Using Hierarchy Parser Transformation
<ul>
<li>学习如何使用Hierarchy Parser Transformation来解析复杂的父子关系数据。</li>
</ul>
</li>
<li>
Module 8: Using Hierarchy Builder Transformation
<ul>
<li>学习如何使用Hierarchy Builder Transformation来构建层次结构数据。</li>
</ul>
</li>
<li>
Module 13: Intelligent Structure Model
<ul>
<li>介绍智能数据模型的概念，包括智能结构发现流程和例子。</li>
</ul>
</li>
<li>
Module 14: Advanced Task Settings and Performance Tuning
<ul>
<li>探讨高级任务设置和性能调优，如主键分片、查找SQL覆盖、分区策略等。</li>
</ul>
</li>
<li>
Module 15: Exception Handling
<ul>
<li>介绍在Informatica Cloud中处理异常的方法，包括不同类型的异常处理和错误日志记录。</li>
</ul>
</li>
<li>
Module 16: Administration
<ul>
<li>学习如何管理Informatica Cloud组织，包括用户角色、权限设置和资产导入/导出。</li>
</ul>
</li>
<li>
Module 17: Automating and Monitoring Tasks
<ul>
<li>介绍如何安排任务并监控其执行情况。</li>
</ul>
</li>
<li>
Module 18: IICS APIs
<ul>
<li>学习Informatica Cloud提供的REST API，包括如何使用API来运行映射和数据集成任务。</li>
</ul>
</li>
</ol>
这个课程大纲涵盖了从基础到高级的所有主要概念，适合希望在Informatica Cloud平台上进行数据集成和管理的开发者、系统工程师和数据工程师。通过这些模块，学习者将能够设置环境、创建映射、处理异常、监控任务以及自动化工作流程，同时还能够编写和执行API调用来与Informatica Cloud平台交互。

Title

Informatica Data Integration , Intelligent Cloud Services

What you will learn

Describe Informatica Cloud Architecture

Use Intelligent Structure Model to parse data

Use advanced data integration features to optimize performance of jobs

Use Cloud Mapping Designer to create Mappings and Mapping Tasks

Why take this course?

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