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

• 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

• 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)

• 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

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

Exam Booking Link

• Book your IBM watsonx Data Lakehouse Engineer v1 – Associate exam via Pearson VUE — Click here
  https://www.pearsonvue.com/us/en/ibm.html

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