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| Certification Vendor: | IBM |
|---|---|
| Exam Name: | IBM Big Data Engineer |
| Exam Number: | C2090-101 |
| Exam Duration: | 75 minutes |
| Passing Score: | 65% |
| Real Exam Qty: | 53 |
| Related Certifications: | IBM Analytics: Platform Analytics |
| Certificate Validity Period: | 3 years |
| Available Languages: | English |
| Exam Format: | Single/multiple answer, Multiple-choice questions |
| 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 |
| Section | Weight | Objectives |
|---|---|---|
| Performance and Scalability | 15% | - Ensure high availability and scalability - Optimize query execution and workload management - Apply best practices for latency and throughput - Tune Hive, HBase, and Big SQL performance |
| Data Preparation, Transformation, and Export | 26% | - Export results from Hadoop environment - Perform entity resolution and data cleansing - Use Pig for data transformation - Create BigSheets workbooks - Apply Jaql for data manipulation |
| Data Security | 8% | - Apply data masking and redaction techniques - Implement access control and LDAP security - Comply with security standards (PCI, PII protection) - Monitor and secure sensitive data |
| Architecture and Integration | 17% | - Evaluate use cases for Hive, Big SQL, and HBase - Design cluster architecture and storage layers - Integrate GPFS and distributed file systems - Implement MapReduce and RDD concepts - Ensure consistent processing with InfoSphere Streams |
| Data Loading | 34% | - Load log files with Flume and command-line tools - Create Big SQL tables and load data into Hadoop - Extract data from relational sources using Sqoop - Import streaming data using InfoSphere Streams - Load unstructured data into InfoSphere BigInsights - Ingest data into HBase and Hive |
IBM Big Data Engineer is an official IBM exam, catalogued under the code C2090-101. A pass awards you the IBM Certified Data Engineer – Big Data certification at the Professional level. It also supports progress toward IBM Analytics: Platform Analytics. Demand for this credential has stayed strong because it validates skills employers can use from day one.
The IBM Big Data Engineer exam packs 53 questions into 75 minutes. Candidates rarely fail because of one impossible topic; they fail because ten minutes vanished on three stubborn questions. Build a triage habit now: answer, flag, move on, return later. Timed full-length sessions in the ValidDumps test engine are the most honest way to practice that discipline before it counts.
You pass IBM Big Data Engineer at 65%, and the official registration fee stands at 200 USD. One detail worth internalizing: there is no retake discount, so a second sitting costs another full 200 USD. Use the ValidDumps practice tests as your gauge and book only when your results clear the requirement with a repeatable margin, not a one-off peak.
No formal prerequisites; recommended 1-2 years of hands-on experience with Hadoop, IBM BigInsights, Hive, Pig, HBase, and SQL
Vendor policies shift over time, so confirm the current entry conditions before paying any registration fee; the official exam page is the authoritative source.
You can sign up for IBM Big Data Engineer through the official registration points listed here.
Regarding format, the exam is delivered Proctored online or onsite at Pearson VUE test centers.
IBM recommends the following training for IBM Big Data Engineer candidates.
Course content builds understanding, but the exam grades answers. Bridge the two with the 108 practice questions in the ValidDumps C2090-101 package, and the theory starts converting into points.
Yes. A free demo of the IBM Big Data Engineer material is available on this page, so you can verify the quality of the questions and the expert-edited answers yourself. Once you purchase, updates are free for 365 days and the newest version is emailed to you automatically as it releases; after expiry, extending the update service costs 50% of the regular price.
A 100% money-back guarantee covers your purchase under defined conditions. If you take the IBM Big Data Engineer exam within 60 days of buying and fail, you can claim a full refund, provided the exam matches your product. Attempts within 3 days of purchase are ineligible, as are downloaded-but-unused products, free materials, and expired orders, and the candidate name must match the payer name. Submit a scanned enrollment slip and the official Score Report PDF within 2 days of the exam; claims are processed within 7 days. Alternatively, you may exchange rather than refund: two other exam products of equal value, free, with the update service on your original purchase kept intact.
Delivery is instant: files unlock for download upon successful payment and are automatically emailed to you within one minute. If nothing arrives within 2 hours, check spam and contact us by email or online service. Installation is unlimited across your computers.
IBM Big Data Engineer spans 5 official domains. The most heavily weighted include Data Preparation, Transformation, and Export (26%), Architecture and Integration (17%), and Data Loading (34%). The full topic list is published above on this page; let the weightings decide where your next study hour goes.
Question 1
Use of Bulk Load in HBase for loading large volume of data will result in which of the following?
A. None of the above
B. It will use less CPU but will use more network resource
C. It will behave same way as using HBase API for loading large volume of data
D. It will use less network resource but more CPU
Question 2
Which of the following are CRUD operations available in HBase? (Choose two.)
A. HTable.Remove
B. HTable.Delete
C. HTable.Put
D. HTable.Update
E. HTable.Read
Question 3
Which of the following techniques is NOT employed by Big SQL to improve performance?
A. Load data into DB2 and return the data
B. Predicate Push down
C. Compression efficiency
D. Query Optimization
Question 4
Which of the following Hadoop command flags are used to copy data to the HDFS? (Choose two.)
A. put
B. copyToLocal
C. cp
D. copyFromLocal
E. get
Question 5
What is Flume?
A. A distributed filesystem
B. A service for moving large amounts of data around a cluster soon after the data is produced.
C. A programming language that translates high-level queries into map tasks and reduce tasks
D. A platform for executing MapReduce jobs
Solutions:
| Question 1 Answer: C | Question 2 Answer: B,C | Question 3 Answer: D | Question 4 Answer: B,D | Question 5 Answer: B |
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