IBM C2090-101 - IBM Big Data Engineer
- Exam Code: C2090-101
- Exam Name: IBM Big Data Engineer
- Updated: Sep 20, 2026
- Q & A: 108 Questions and Answers
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IBM C2090-101 Exam Overview:
| Certification Vendor: | IBM |
|---|---|
| Exam Name: | IBM Big Data Engineer |
| Exam Number: | C2090-101 |
| Available Languages: | English |
| Exam Duration: | 75 minutes |
| Passing Score: | 65% |
| Related Certifications: | IBM Analytics: Platform Analytics |
| Exam Format: | Single/multiple answer, Multiple-choice questions |
| Certificate Validity Period: | 3 years |
| Real Exam Qty: | 53 |
| Exam Price: | 200 USD |
| Recommended Training: | IBM BigInsights Foundations Hadoop and Big Data Essentials |
| Exam Registration: | Pearson VUE Registration IBM Certification Portal |
| 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 |
IBM C2090-101 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Performance and Scalability | 15% | - Optimize query execution and workload management - Apply best practices for latency and throughput - Ensure high availability and scalability - Tune Hive, HBase, and Big SQL performance |
| Data Preparation, Transformation, and Export | 26% | - Export results from Hadoop environment - Perform entity resolution and data cleansing - Create BigSheets workbooks - Use Pig for data transformation - Apply Jaql for data manipulation |
| Architecture and Integration | 17% | - Ensure consistent processing with InfoSphere Streams - Implement MapReduce and RDD concepts - Integrate GPFS and distributed file systems - Evaluate use cases for Hive, Big SQL, and HBase - Design cluster architecture and storage layers |
| Data Loading | 34% | - Extract data from relational sources using Sqoop - Load log files with Flume and command-line tools - Load unstructured data into InfoSphere BigInsights - Create Big SQL tables and load data into Hadoop - Ingest data into HBase and Hive - Import streaming data using InfoSphere Streams |
| Data Security | 8% | - Monitor and secure sensitive data - Comply with security standards (PCI, PII protection) - Apply data masking and redaction techniques - Implement access control and LDAP security |
Clear Answers for IBM Big Data Engineer Candidates
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The IBM Big Data Engineer blueprint covers these principal domains:
- Data Security (8%)
- Performance and Scalability (15%)
- Architecture and Integration (17%)
The remaining domains appear in the full official outline, all of which our bank addresses.
As of the latest information, the passing score for the C2090-101 exam is 65% and the fee is 200 USD. IBM can revise both, so confirm the current figures on the official site before registering.
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IBM recommends these official training options:
Pick the course matching your experience, then reinforce it with regular question practice.
IBM lists the following prerequisites for the IBM Big Data Engineer: No formal prerequisites; recommended 1-2 years of hands-on experience with Hadoop, IBM BigInsights, Hive, Pig, HBase, and SQL.
Confirm the details on the official certification page before you book.
Per current exam information, the C2090-101 exam includes 53 questions and allows 75 minutes minutes. Timed practice beforehand makes the format feel routine on the day.
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IBM Big Data Engineer Sample Questions:
Question #1
When embedding SPSS models within InfoSphere Streams, what SPSS product must be installed on the same machine with InfoSphere Streams?
- A. SPSS Accelerator for InfoSphere Streams
- B. SPSS Solution Publisher
- C. SPSS Modeler
- D. None, the SPSS software runs remotely to the Streams machine
Correct Answer: B 🗳️
Question #2
Which one of the following is NOT provided by the SerDe interface?
- A. Deserializer interface takes a string or binary representation of a record, and translates it into a Java object that Big SQL can manipulate
- B. Serializer takes a Java object that Big SQL has been working with, and turns it into a format that BigSQL can write to HDFS
- C. SerDe interface has to be built using C or C++ language
- D. Allows SQL-style queries across data that is often not appropriate for a relational database
Correct Answer: C 🗳️
Question #3
What is the primary purpose of Flume in the Hadoop ecosystem?
- A. To stream data from Hadoop
- B. To move static files from the local file system into HDFS
- C. To import data from a relational database or data warehouse into HDFS
- D. To capture log data as it is written to log files and move them into HDFS
Correct Answer: C 🗳️
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Question #4
Which statement is TRUE concerning optimizing the load performance?
- A. When loading large files the number of files that you load does not impact the performance of the LOAD HADOOP statement
- B. It is advantageous to run the LOAD HADOOP statement directly pointing to large files located in the host file system as opposed to copying the files to the DFS prior to load
- C. You can improve the performance by increasing the number of map tasks assigned to the load
- D. You can improve the performance by decreasing the number of map tasks that are assigned to the load and adjusting the heap size
Correct Answer: C 🗳️
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Question #5
A Resilient Distributed Dataset is a good solution for which of the following?
- A. A high throughput write oriented use cases
- B. A search
- C. An interactive query and iterative algorithms
- D. An SQL based data transformation
Correct Answer: C 🗳️
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