Prepare with IBM C2090-101 exam torrent, pass for sure
Updated: Nov 05, 2026
No. of Questions: 108 Questions & Answers with Testing Engine
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The price of the C2090-101 exam is $200 USD.
Reference: https://www.ibm.com/certify/exam?id=C2090-101
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IBM C2090-101 Exam Overview:
| Certification Vendor: | IBM |
|---|---|
| Exam Name: | IBM Big Data Engineer |
| Exam Number: | C2090-101 |
| Passing Score: | 65% |
| Related Certifications: | IBM Analytics: Platform Analytics |
| Real Exam Qty: | 53 |
| Exam Duration: | 75 minutes |
| Available Languages: | English |
| Certificate Validity Period: | 3 years |
| Exam Price: | 200 USD |
| Exam Format: | Multiple-choice questions, Single/multiple answer |
| 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 |
How to study the C2090-101 Exam
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IBM C2090-101 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Performance and Scalability | 15% | - Apply best practices for latency and throughput - Optimize query execution and workload management - Ensure high availability and scalability - Tune Hive, HBase, and Big SQL performance |
| Data Loading | 34% | - Load unstructured data into InfoSphere BigInsights - Load log files with Flume and command-line tools - Extract data from relational sources using Sqoop - Import streaming data using InfoSphere Streams - Create Big SQL tables and load data into Hadoop - Ingest data into HBase and Hive |
| Data Security | 8% | - Apply data masking and redaction techniques - Implement access control and LDAP security - Monitor and secure sensitive data - Comply with security standards (PCI, PII protection) |
| Architecture and Integration | 17% | - Implement MapReduce and RDD concepts - Design cluster architecture and storage layers - Ensure consistent processing with InfoSphere Streams - Integrate GPFS and distributed file systems - Evaluate use cases for Hive, Big SQL, and HBase |
| Data Preparation, Transformation, and Export | 26% | - Export results from Hadoop environment - Perform entity resolution and data cleansing - Use Pig for data transformation - Apply Jaql for data manipulation - Create BigSheets workbooks |
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