• Exam Breakdown
  • Domain Breakdown
  • Access Breakdown

Exam Format

  • Exam Code: C1000-190
  • Certification Level: Associate
  • Exam Duration: 90 minutes
  • Passing Score: Not officially disclosed by IBM (commonly estimated at ~65–70%)
  • Unscored Content: IBM may include unscored questions for research purposes. These do not affect your score and are not identified.

Exam Details

  • Question Types: Multiple choice, multiple response
  • Number of Questions: Approximately 50–60 questions (IBM does not publish an exact number)
  • Hands-On Questions: The exam is knowledge-based and does not include live lab or performance-based simulations.

Exam Policies

  • Offline Proctoring: Must be rescheduled or canceled at least 48 hours before the scheduled exam time.
  • Online Proctoring: Must be rescheduled or canceled at least 30 minutes before the scheduled exam time.
  • Waiting Period: A minimum 5-calendar-day wait is required after a failed attempt before retaking the exam.
  • Retake Fee: Full exam fee must be paid for each retake.

Certification Validity and Renewal

  • Validity: IBM certifications do not expire. However, platform updates may lead organizations to prefer the most current credentials.
  • Renewal Options: IBM encourages progression to Professional-level watsonx data engineering or Cloud Pak for Data certifications as skills advance.

Exam Fee

  • Base Fee: $200 USD (excluding taxes)
  • Taxes: Country-specific VAT/GST may apply
  • Example: In India, 18% tax applies, making the total $236 USD ($200 + $36 tax)

Prerequisites

There are no formal prerequisites for taking the IBM watsonx Data Lakehouse Engineer v1 – Associate exam. However, it is recommended to have:
  • Basic understanding of data engineering and analytics concepts
  • Familiarity with SQL and data storage formats
  • Introductory knowledge of cloud-native and container-based platforms

Exam Topics

  • Lakehouse Fundamentals: Data lake vs. data warehouse, lakehouse architecture, and use cases
  • IBM watsonx.data Overview: Components, supported query engines, object storage integration, and metadata management
  • Data Ingestion and Storage: Batch and streaming ingestion concepts, table formats, and data organization
  • Query and Analytics Engines: SQL analytics, performance considerations, and workload concepts
  • Governance and Security Basics: Data access control, cataloging concepts, and governance alignment
  • Integration and Operations: Integration with analytics and AI services, monitoring basics, and operational considerations

Intended Audience

This certification is ideal for professionals such as:
  • Associate Data Engineer
  • Junior Lakehouse / Analytics Engineer
  • Data Platform Support Engineer
  • Developers transitioning into data engineering roles

Career Impact

Jobs You Can Get:

  • Associate Data Engineer, Junior Analytics Engineer, Data Platform Engineer (Entry Level)
Average Salary:
  • U.S.: $75,000–$105,000 USD
  • India: ₹6,00,000–₹15,00,000 INR
  • United Kingdom: £40,000–£65,000 GBP
  • UAE: 130,000–210,000 AED per year

Why It’s Valuable:

  • Provides a strong entry point into modern data engineering using a lakehouse architecture and serves as a foundation for advanced watsonx, Cloud Pak for Data, and AI engineering certifications.

Exam Mode

The exam is proctored and can be taken either:

  • In-person at authorized Pearson VUE test centres
  • Online through Pearson VUE’s online proctoring system

Exam Booking Link

Once you pass the exam:

  • Your certification status is updated in IBM’s certification system
  • A digital badge is issued via IBM/Credly within a few days of passing
  • You can view, download, and share your credential through the badge platform

Offers

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Top Reasons to Choose
IBM watsonx Data Lakehouse Engineer v1 - Associate

Modern Lakehouse Architecture Expertise

This certification validates professional skills in building and managing data lakehouse environments using IBM watsonx, enabling organizations to unify data warehousing and data lake capabilities for scalable analytics and AI workloads.

High Demand for Data Engineering and Analytics Skills

Organizations increasingly rely on scalable data platforms to support AI and analytics initiatives. This certification demonstrates expertise in data ingestion, transformation, and governance, making professionals valuable in enterprise data engineering roles globally.

Professional Recognition in Data Platform Engineering

As an official IBM associate-level certification, it enhances credibility in modern data architecture, supports career growth in data engineering and analytics roles, and strengthens expertise in enterprise lakehouse and cloud-based data solutions.

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FAQ

  • Who should take the IBM watsonx Data Lakehouse Engineer vl - Associate exam?
    This exam is designed for data engineers, analytics engineers, and IT professionals who build and manage lakehouse solutions using IBM watsonx. It targets individuals responsible for data ingestion, transformation, governance, and optimization within modern cloud-based analytics environments.
  • How difficult is the IBM watsonx Data Lakehouse Engineer vl - Associate exam?
    The C1000-190 exam is considered associate-level, but it requires clear understanding of lakehouse concepts, watsonx.data components, data integration, operations, access control, and consumption use cases. Candidates with basic data engineering knowledge and hands-on exposure to IBM watsonx.data or similar platforms should find it manageable with structured preparation.
  • Why does IBM offer the watsonx Data Lakehouse Engineer certification?
    IBM offers this certification to validate skills needed for building and supporting modern lakehouse platforms using watsonx.data. As organizations prepare data for analytics and AI, they need professionals who understand scalable storage, multiple query engines, governance, integration, access control, and operational management of enterprise data platforms.
  • What tools and resources can be used to prepare for the exam?
    Candidates should use IBM Training, IBM watsonx.data documentation, IBM learning paths, hands-on practice with watsonx.data, SQL practice, data integration labs, and official IBM product materials. Practical experience with querying, ingestion, access control, governance concepts, and lakehouse architecture will improve readiness for scenario-based exam questions.
  • Is the IBM watsonx Data Lakehouse Engineer vl - Associate certification valuable in 2026?
    Yes, this certification is valuable in 2026 because organizations are increasingly building AI-ready data platforms using lakehouse architectures. It helps validate knowledge of IBM watsonx.data, data governance, integration, operations, and analytics consumption, supporting career growth in data engineering, cloud data platforms, and AI infrastructure roles.