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PySpark for Data Testing Automation

The Microsoft course 'PySpark for Data Testing Automation' equips data engineers and analysts with skills to automate data validation and enforce quality at scale using PySpark in Azure Databricks, solving the critical pain point of unreliable data pipelines. With over 70% of data projects failing due to poor data quality (Microsoft, 2026), this training enables professionals to implement unit testing, Delta Lake expectations, and CI/CD practices that catch defects early.

This course prepares learners for the Microsoft Certified: Azure Databricks Data Engineer Associate (DP-750) exam, which requires a 700/1000 passing score and costs $165 USD. Koenig Solutions provides official vendor-authorized courseware and 30-day lab access, empowering you to build production-ready, test-automated data pipelines on Azure.

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Course Overview

The Microsoft course *PySpark for Data Testing Automation* is designed for data engineers, data analysts, and analytics professionals seeking to automate data validation and pipeline testing in cloud-scale environments. This training aligns with the skills measured in Exam DP-750: Implementing Data Engineering Solutions Using Azure Databricks, preparing learners for the Microsoft Certified: Azure Databricks Data Engineer Associate credential. Participants will gain hands-on expertise in building robust, testable data pipelines using PySpark within Azure Databricks. With over 95% of Fortune 500 companies leveraging Azure for data and AI workloads, mastering these tools ensures alignment with enterprise-grade data practices and growing industry demand for automated, reliable data systems.

Learners engage directly with core Microsoft technologies including Azure Databricks, Unity Catalog, Delta Lake, Spark SQL, Structured Streaming, and Azure Monitor. The course features intensive hands-on labs conducted in the Azure Portal and Databricks workspace, where students configure serverless compute clusters and implement end-to-end testing frameworks. A key project involves building a production-ready order processing pipeline with integrated unit and integration tests using pytest, then packaging it as a Declarative Automation Bundle (DAB) for consistent deployment across development, test, and production environments. Students use the Databricks CLI to validate, preview, and deploy their bundles, simulating real-world DevOps workflows while enforcing data quality through expectations and schema enforcement in Unity Catalog.

This course prepares candidates for the widely recognized Microsoft Certified: Azure Databricks Data Engineer Associate certification, which validates critical skills in modern data engineering and is increasingly required by employers adopting Azure-based analytics platforms. Certified professionals report average salary increases of 20–30%, with Azure data engineers commanding median salaries exceeding $120,000 in North America. Koenig Solutions enhances this learning experience with Guaranteed-to-Run batches and optional 1-on-1 training, ensuring personalized instruction using official Microsoft courseware. Upon completion, graduates are equipped to lead secure, scalable, and automated data solutions, positioning them for advanced roles in data platform architecture and cloud analytics engineering.

What You'll Learn

Implement PySpark for Data Testing Automation in Azure Databricks to ensure reliable data pipelines
Configure isolated test environments for Delta tables to prevent data contamination during testing
Validate data transformation logic using mock data for accurate results in PySpark testing
Deploy PySpark testing frameworks with pytest to streamline test execution and reporting
Automate data quality validation in Azure pipelines to maintain high standards across data workflows
Optimize Spark job performance in Microsoft Fabric for faster data processing and analysis

Skills You'll Gain

PySpark DataFrames Spark SQL Data Validation PySpark Testing Data Quality Checks Automated Data Testing PySpark ETL Unit Testing PySpark Azure Databricks Azure Synapse Analytics Azure Data Lake Azure Data Factory PySpark on Azure Integration Testing Performance Tuning Data Pipeline Testing PySpark Optimization

Prerequisites

Recommended knowledge before taking this course
  • Basic familiarity with Python 3.8+ and pytest, essential for effective use of PySpark for Data Testing Automation, ensuring smooth test automation workflows.
  • Working knowledge of Apache Spark 3.x architecture and Spark SQL, critical for leveraging PySpark for Data Testing Automation in large-scale data environments.
  • Experience with Azure Databricks workspace and cluster configuration, necessary to optimize testing automation with PySpark for Data Testing Automation.
  • Understanding of Delta tables and data formats such as Parquet, JSON, and CSV, vital for efficient data testing and validation using PySpark for Data Testing Automation.
  • Ability to write and execute SQL queries for data filtering, joining, and aggregation, empowering users to perform comprehensive data tests with PySpark for Data Testing Automation.
  • Familiarity with unit testing concepts and test isolation in distributed environments, foundational for mastering PySpark for Data Testing Automation.
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Certification Exam

Everything you need to know about the PySpark for Data Testing Automation certification exam

Exam Details
Exam Name
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
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Retake Policy
Not applicable
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Course Curriculum

Structured learning with hands-on labs and real-world scenarios

1
Day 1– Environment Setup and DataFrame Fundamentals
Configure PySpark environments within Azure Databricks as part of the custom curriculum Analyze Spark architecture and core execution models relevant to DP-203 certification Initialize SparkSession and manage complex DataFrames Ingest CSV, JSON, and Parquet data formats Define schemas and leverage automated inference Execute essential DataFrame transformations and operations Develop modular and unit-testable PySpark code Apply Microsoft data quality validation frameworks within the Microsoft Fabric ecosystem
2
Day 2– Advanced Data Validation Techniques
Perform source-to-target row count reconciliation Execute completeness checks for mandatory fields Verify data accuracy using sample record comparisons Implement robust null value handling strategies Identify and analyze duplicate record patterns Validate data types during complex transformations Conduct aggregate validation using group-by logic Use hash-based comparisons for large-scale datasets integrated with Microsoft Purview for data governance
3
Day 3– ETL Validation and Pipeline Integrity
Build automated source-to-target reconciliation workflows using Azure Data Factory Validate transformation logic using targeted test cases Verify SCD Type 1 change detection accuracy Audit SCD Type 2 historical data integrity Validate incremental loads and CDC processes Perform join validation across multiple datasets Execute lookup validation against reference data Verify default values and derived column logic aligned with DP-203 standards
4
Day 4– CI/CD Integration and Automated Testing
Install and configure pytest within Databricks Write unit tests for custom PySpark functions Utilize pytest fixtures for efficient test data Execute integration testing for end-to-end pipelines Mock Spark DataFrames for isolated component tests Analyze test coverage for PySpark codebases Implement CI/CD pipelines using Azure DevOps for automated data engineering workflows Automate test execution in development lifecycles

What's Included in Your Training

Every enrollment comes packed with resources to maximise your learning and exam success

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    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

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    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

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  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

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    Business Intelligence Lead

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    Data Platform Engineer

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  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified

Frequently Asked Questions

Everything you need to know about the PySpark for Data Testing Automation training course

Is the certification exam included in the PySpark for Data Testing Automation course fee, and what is the cost if separate?
The PySpark for Data Testing Automation certification exam is not included in the course fee and requires separate purchase. The official Microsoft exam fee is $165 USD, payable to Pearson VUE. Koenig Solutions offers optional exam vouchers, matching Microsoft's standard pricing for professional role-based certifications.
What training formats are available for PySpark for Data Testing Automation, and is Guaranteed-to-Run scheduling offered?
Koenig offers PySpark for Data Testing Automation via live online, classroom, 1-on-1, and self-paced Flexi formats. All sessions are Guaranteed-to-Run, eliminating cancellation risks. Live training provides direct instructor access, while Flexi options allow on-demand learning. This ensures global learners receive expert-led instruction regardless of their specific time zone constraints.
How long is lab access provided, and what type of environment is used for PySpark for Data Testing Automation?
Lab access for PySpark for Data Testing Automation lasts 6 months via the Koenig LET Platform. Students use Microsoft-hosted cloud sandboxes with real Azure subscriptions. This production-equivalent environment allows hands-on work with Azure Databricks, Unity Catalog, and Delta Lake, removing the need for complex local software configurations.
What is Koenig's rescheduling and cancellation policy for the PySpark for Data Testing Automation course?
Koenig allows free rescheduling for PySpark for Data Testing Automation with 7+ days' notice. Cancellations within this window incur no fees. Late changes may involve small administrative charges. Our Happiness Guarantee ensures a full refund or free retake if goals are not met, reflecting our commitment to flexible, learner-focused training.
What is the format, number of questions, passing score, and time limit for the PySpark for Data Testing Automation certification exam?
The PySpark for Data Testing Automation exam (DP-750) features 40–60 questions, including MCQs and case studies, over 120 minutes. A passing score of 700/1000 is required. This proctored exam validates your expertise in data pipeline development, Unity Catalog governance, and Azure Databricks optimization according to strict Microsoft certification standards.
How long is the PySpark for Data Testing Automation certification valid, and what is the renewal process and cost?
The PySpark for Data Testing Automation certification remains valid for one year. Renewal requires passing a free online assessment on Microsoft Learn during a six-month eligibility window. This process is free of charge and focuses on the latest technology updates, ensuring your professional expertise remains current and highly relevant.
What post-training support does Koenig provide after completing the PySpark for Data Testing Automation course?
Koenig provides 6 months of post-training support, including lab access, session recordings, and expert mentor availability. Learners also receive our Happiness Guarantee for a free course retake. We offer career guidance and exam-prep resources to ensure you successfully apply your PySpark and Azure Databricks skills in real-world professional environments.
What prerequisites or prior experience are recommended for the PySpark for Data Testing Automation course?
Learners should possess prior experience with Python, SQL, Git, and basic cloud concepts before starting the PySpark for Data Testing Automation course. Familiarity with Azure services like Data Factory, Entra ID, and Monitor is recommended. Practical experience in data ingestion and transformation significantly improves your readiness for mastering advanced Azure Databricks workflows.
What is the average salary impact and career progression for professionals with PySpark for Data Testing Automation skills?
Professionals with PySpark for Data Testing Automation skills earn between $115,000 and $155,000 annually in the U.S., with senior roles exceeding $160,000. Certification creates pathways to roles like Azure Databricks Engineer and Lead Data Engineer, where demand is surging due to widespread enterprise adoption of scalable, cloud-based data platforms.
How does instructor-led training for PySpark for Data Testing Automation compare to self-study in terms of pass rates and career outcomes?
Instructor-led training for PySpark for Data Testing Automation achieves a 95% pass rate at Koenig, significantly outperforming self-study. Structured learning, hands-on labs, and expert mentorship accelerate skill application and exam readiness. This investment leads to faster job placement and promotions, providing a clear competitive advantage over unguided study methods.
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