Is a data platform that provides everything you need to build real-time data-driven applications. Learn about the different features and components, how to use them and how to program your applications

45+ Hours

Optimize Operations, Improve Product Quality with Quality Assurance Program

  • MANUAL TESTING
  • VB SCRIPT BASICS
  • QTP
  • QUALITY CENTER/ ALM
  • SQL BASICS
  • SAMPLE MINI PROJECTS
  • RECAP AND BRIEF TESTING INTERVIEW PREPARATION

Sessions 1 & 2 – Manual Testing

 
  • Introduction
  • SDLC & STLC
  • SDLC explained – Analysis, Design, Implementation, Testing, Maintenance
  • STLC explained – Requirement Analysis, Test Planning/Test Strategy, Test Design/Test Development, Test                      
  • Environment Setup, Test Execution, Test Cycle Closure
  • SDLC Models
  • Types of testing
  • Manual & Automation testing
  • Functional and non-functional testing
  • Black box and White box testing
  • Smoke testing, System testing, Integration testing, Regression testing & Use Case/ User Acceptance testing
  • Test Plan & Test Strategy
  • Test Scenarios and Test Cases along with a real time scenario
  • Requirement Traceability Matrix
  • Example – FDD, Test Scenarios and Test Cases
  • Environments in real time
  • Defect Life Cycle

Session 3: VB Script basics

Session 4-11 – QTP

 
  •   Session 4 – Introduction – Manual testing and automation testing,  QTP and add-ins
  •   Session 4 – Record & Playback
  •    Session 4 – Object Identification
  •    Session 4 – Keyword View and Expert View
  •   Session 5 – Data tables
  •   Session 5 – Object Repositories – Local and Shared
  •   Session 6 – Actions, Functions and Transactions
  •   Session 6 – Parameterization
  •   Session 7 – Checkpoints
  • Session 7 – Output Values
  • Session 7 – Synchronization
  • Session 8 – Smart Identification
  • Session 8 – Debugging
  • Session 8 – Error Handling & Recovery Scenarios
  • Session 9 – Environment Variables
  • Session 9 – Library Files
  • Session 10 – Test Results
  • Session 10 – GUI and Virtual Objects
  • Session 10 – Using excel with QTP
  • Session 11 – Database Access and XML
  • Session 11 – Descriptive Programming
 

Session 12 – Quality Center/ALM

 
  • Four Modules and their uses
  • Creating test cases in ALM
  • Uploading test cases from excel
  • Mapping requirements
  • Executing test cases
  • Raising defects
  • Defect Life Cycle
  • Defect Reporting & Tracking

Sessions 13 & 14 – SQL Basics

 
  • Introduction
  • Primary Key, Foreign Key
  • Select, Insert, Update and Delete
  • Order By, Group By and Having clauses
  • SQL functions and Conditions
  • Joins

Sessions 16 & 17 – Sample mini project

 
  • SAP Landscape Replication server for HANA
  • Key benefits of SLT Replication server
  • Key benefits of Trigger-Based Approach
  • Architecture for SAP source Replication
  • Architecture for Non-SAP source Replication
  • Configuration and monitoring Dashboard for HANA(LTR)
  • Creating new Configuration for SAP Sources
  • Creating new Configuration for Non-SAP Sources
  • Result of Creating new Configuration
  • Launching Data provisioning UI in HANA studio
  • Start Load/Replication
  • Stop/Suspend Replication
  • Status Monitoring in HANA Studio
  • SLT based transformation Concept
  • Advanced Replication Settings
  • Change of table Structuring and Partitioning
  • Filtering and Selective data replication

Session 18 – Recap and Brief testing interview preparation

 
  • DXC Concept
  • Challenges
  • DXC Benefits
  • Activation mechanism for handling Delta Processing
  • Data Source Extractor Concept
  • SAP Business Content Data Source Extractors
  • SAP HANA DXC Connection setup and Configuration
  • Activating Data Sources in Source system
  • Understanding the tables of IMDSO
  • Creating info package and Scheduling data load
  • Monitoring Data loads
  • Comparisons with other data acquisition techniques
  • DXC sidecar approach