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Full Spectrum Comprehensive Testing & Error Reading 101
Rating: 4.8 out of 5(6 ratings)
426 students

Full Spectrum Comprehensive Testing & Error Reading 101

Interview Prep: Solving Tickets for Real life Job Like scenarios for Python Big Data Science 101 Courses
Created byShivgan Joshi, abhi verma, Prakash Chandr Nandanwar
Last updated 10/2024
English

What you'll learn

  • Full Spectrum Comprehensive Testing & Error Reading
  • Solving Tickets for Real life Job Like scenarios
  • Learn how to fix errirs at differnt stages for differnt repos
  • Many checkpoints to prepare you for the interview

Course content

7 sections • 30 lectures • 32m total length

  • Introduction0:41
  • Instructions to take the course0:49
  • Content of Course0:21
  • Content of the Course2:49
  • Ticket based Learning1:16

    Explore ticket-based learning by examining raised failures, fixing them quickly, and producing high quality notes. Tackle Jenkins and PySpark errors by categorizing tickets and crafting solutions.

  • Three types of Repos2:03

    Identify the three repo types: full stack frameworks, engine, and exploration; explain their roles, data orientation, and how full stack integrates engine, exploration, and user interface for end-user workflows.

  • Four types of Run2:12
  • Four Stages of Run0:50
  • Ticket based Learning

Requirements

  • 101 course for Begineer, no coding needed

Description

Interview Prep Full Spectrum Comprehensive Testing & Error Reading 101

Solving Tickets for Real life Job Like scenarios


  1. Ticket Based Learning

  2. Three type of Repo

  3. Four types of Run

  4. Checking YAML and CICD for Jenkins build

    1. Different kind of Jenkins failure

    2. Connection timeout issue for Jenkins

  5. Full Stack Workflow Computational UI runs

    1. Workflow vs Task Level Testing in full stack computation Framework

  6. Checking Py-spark Errors

  7. Fixing Local Vevn in Python to make local test pass

  8. Different ways to Install Venv Python

  9. Env Variable for User in Windows

    1. Java Pyspark Hadoop local folder etc

  10. Top 5 causes of each failure types

  11. Release Process Errors

Ticket based Learning

  1. Is the most common request Jenkins Failure? True

  2. Local failure are most common due to pyspark? True

  3. Do we get fixing errors as our main ticket? True

  4. Is the most common ticket Jenkins failure? True

  5. Is the most error we will deal is with full stack simulation framework? True


Top 5 cause Jenkins failures

  1. Timeout

  2. Unit tests: Values mismatch

  3. Import problem

  4. Connection to tables using odbc

  5. Many Jenkins build of same code running in parallel

Top 5 workflow based error

  1. Axis Node Name mismatch

  2. You forgot to run workflow integrity test locally

  3. Hive connection failure

  4. Same class instance used by another test

  5. Latest version not used for dependent repos, FT Sim Framework depends on different repos like engine, simulation, ui etc

Who this course is for:

  • Beginner

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