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Updated: Sep 02, 2026
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IBM Big Data Engineer Exam Certification Details:
| Exam Price | $200 (USD) |
| Passing Score | 64% |
| Exam Name | IBM Certified Data Engineer - Big Data |
| Exam Code | C2090-101 |
| Schedule Exam | Pearson VUE |
| Duration | 75 mins |
| Number of Questions | 53 |
| Books / Training | IBM Knowledge Center |
| Sample Questions | IBM Big Data Engineer Sample Questions |
IBM C2090-101 Exam Overview:
| Certification Vendor: | IBM |
|---|---|
| Exam Name: | IBM Big Data Engineer |
| Exam Number: | C2090-101 |
| Exam Price: | 200 USD |
| Passing Score: | 65% |
| Certificate Validity Period: | 3 years |
| Available Languages: | English |
| Exam Format: | Multiple-choice questions, Single/multiple answer |
| Real Exam Qty: | 53 |
| Exam Duration: | 75 minutes |
| Related Certifications: | IBM Analytics: Platform Analytics |
| Recommended Training: | IBM BigInsights Foundations Hadoop and Big Data Essentials |
| Exam Registration: | Pearson VUE Registration IBM Certification Portal |
| Sample Questions: | IBM C2090-101 Sample Questions |
| Exam Way: | Proctored online or onsite at Pearson VUE test centers |
| Pre Condition: | No formal prerequisites; recommended 1-2 years of hands-on experience with Hadoop, IBM BigInsights, Hive, Pig, HBase, and SQL |
| Official Syllabus URL: | https://www.ibm.com/certify/exams/C2090-101 |
Certification Path
The IBM Certified Specialist Certification certification includes only one exam IBM C2090-101 exam.
Reference: https://www.ibm.com/certify/exam?id=C2090-101
IBM Big Data Engineer C2090-101 Exam
IBM Big Data Engineer C2090-101 Exam is requisite to obtain IBM Analytics Platform Certification. This IBM C2090-101 Exam validates and measures the candidate knowledge in extract data from relational source using Sqoop, Utilize Apache Hue for search Visualization, Export Processing Results out of Hadoop and utilize Consistent Regions in infosphere Streams. Big Data Engineers and Data Security Consultants usually hold or pursue this certification and you can expect the same job roles after completion of IBM Analytics Platform certification.
IBM C2090-101 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Performance and Scalability | 15% | - Apply best practices for latency and throughput - Ensure high availability and scalability - Tune Hive, HBase, and Big SQL performance - Optimize query execution and workload management |
| Topic 2: Data Preparation, Transformation, and Export | 26% | - Perform entity resolution and data cleansing - Use Pig for data transformation - Export results from Hadoop environment - Apply Jaql for data manipulation - Create BigSheets workbooks |
| Topic 3: Data Loading | 34% | - Import streaming data using InfoSphere Streams - Load unstructured data into InfoSphere BigInsights - Create Big SQL tables and load data into Hadoop - Load log files with Flume and command-line tools - Extract data from relational sources using Sqoop - Ingest data into HBase and Hive |
| Topic 4: Architecture and Integration | 17% | - Evaluate use cases for Hive, Big SQL, and HBase - Integrate GPFS and distributed file systems - Ensure consistent processing with InfoSphere Streams - Implement MapReduce and RDD concepts - Design cluster architecture and storage layers |
| Topic 5: Data Security | 8% | - Monitor and secure sensitive data - Implement access control and LDAP security - Apply data masking and redaction techniques - Comply with security standards (PCI, PII protection) |
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