Get real C2090-101 exam questions for better preparation
Real IBM C2090-101 practice exam questions for easy pass!
Updated: Oct 21, 2026
No. of Questions: 108 Questions & Answers with Testing Engine
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C2090-101 Exams with verified real questions and real answers will help you 100% pass
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IBM Big Data Engineer Exam Certification Details:
| Duration | 75 mins |
| Exam Name | IBM Certified Data Engineer - Big Data |
| Sample Questions | IBM Big Data Engineer Sample Questions |
| Passing Score | 64% |
| Exam Price | $200 (USD) |
| Exam Code | C2090-101 |
| Number of Questions | 53 |
| Schedule Exam | Pearson VUE |
| Books / Training | IBM Knowledge Center |
What is the duration of the C2090-101 Exam
- Length of Examination: 75 minutes
- Number of Questions: 53
- Format: Multiple choices, multiple answers
IBM C2090-101 Exam Overview:
| Certification Vendor: | IBM |
|---|---|
| Exam Name: | IBM Big Data Engineer |
| Exam Number: | C2090-101 |
| Passing Score: | 65% |
| Real Exam Qty: | 53 |
| Exam Format: | Single/multiple answer, Multiple-choice questions |
| Exam Duration: | 75 minutes |
| Exam Price: | 200 USD |
| Available Languages: | English |
| Related Certifications: | IBM Analytics: Platform Analytics |
| Certificate Validity Period: | 3 years |
| 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
The benefit in Obtaining the C2090-101 Exam Certification
- IBM Analytics Platform Certification will be confident and stand different from others as their skills are more trained than non-certified professionals.
- IBM Analytics Platform Certification has more useful and relevant networks that help them in setting career goals for themselves. IBM Certified Operational Decision Manager networks provide them with the right career direction than non certified usually are unable to get.
- IBM Analytics Platform Certification provide opportunities to get a job easily in which they are interested in instead of wasting years and ending without getting any experience.
- IBM Analytics Platform Certification provides practical experience to candidates from all the aspects to be a proficient worker in the organization.
- IBM Analytics Platform Certification is distinguished among competitors. IBM Analytics Platform Certification can give them an edge at that time easily when candidates appear for a job interview employers seek to notify something which differentiates the individual to another.
- IBM Analytics Platform Certification has the knowledge to use the tools to complete the task efficiently and cost effectively than the other non-certified professionals lack in doing so.
IBM C2090-101 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Security | 8% | - Comply with security standards (PCI, PII protection) - Implement access control and LDAP security - Monitor and secure sensitive data - Apply data masking and redaction techniques |
| Topic 2: Performance and Scalability | 15% | - Tune Hive, HBase, and Big SQL performance - Apply best practices for latency and throughput - Optimize query execution and workload management - Ensure high availability and scalability |
| Topic 3: Architecture and Integration | 17% | - Design cluster architecture and storage layers - Implement MapReduce and RDD concepts - Integrate GPFS and distributed file systems - Evaluate use cases for Hive, Big SQL, and HBase - Ensure consistent processing with InfoSphere Streams |
| Topic 4: Data Loading | 34% | - Load log files with Flume and command-line tools - Extract data from relational sources using Sqoop - Ingest data into HBase and Hive - Import streaming data using InfoSphere Streams - Load unstructured data into InfoSphere BigInsights - Create Big SQL tables and load data into Hadoop |
| Topic 5: Data Preparation, Transformation, and Export | 26% | - Create BigSheets workbooks - Perform entity resolution and data cleansing - Export results from Hadoop environment - Apply Jaql for data manipulation - Use Pig for data transformation |
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