Choosing the right training dumps benefits your brighter future. Choose the IBM Big Data Engineer verified study material at GetValidTest — 108 practice questions for the C2090-101 exam.
IBM C2090-101 Exam Overview:
| Certification Vendor: | IBM |
|---|---|
| Exam Name: | IBM Big Data Engineer |
| Exam Number: | C2090-101 |
| Real Exam Qty: | 53 |
| Available Languages: | English |
| Exam Duration: | 75 minutes |
| Related Certifications: | IBM Analytics: Platform Analytics |
| Certificate Validity Period: | 3 years |
| Exam Price: | 200 USD |
| Exam Format: | Single/multiple answer, Multiple-choice questions |
| Passing Score: | 65% |
| Recommended Training: | Hadoop and Big Data Essentials IBM BigInsights Foundations |
| Exam Registration: | IBM Certification Portal Pearson VUE Registration |
| 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 |
|---|---|---|
| Topic 1: Data Preparation, Transformation, and Export | 26% | - Use Pig for data transformation - Export results from Hadoop environment - Create BigSheets workbooks - Perform entity resolution and data cleansing - Apply Jaql for data manipulation |
| Topic 2: Architecture and Integration | 17% | - Evaluate use cases for Hive, Big SQL, and HBase - Ensure consistent processing with InfoSphere Streams - Integrate GPFS and distributed file systems - Design cluster architecture and storage layers - Implement MapReduce and RDD concepts |
| Topic 3: Performance and Scalability | 15% | - Optimize query execution and workload management - Ensure high availability and scalability - Tune Hive, HBase, and Big SQL performance - Apply best practices for latency and throughput |
| Topic 4: Data Security | 8% | - Monitor and secure sensitive data - Apply data masking and redaction techniques - Implement access control and LDAP security - Comply with security standards (PCI, PII protection) |
| Topic 5: Data Loading | 34% | - Load unstructured data into InfoSphere BigInsights - Ingest data into HBase and Hive - Extract data from relational sources using Sqoop - Import streaming data using InfoSphere Streams - Create Big SQL tables and load data into Hadoop - Load log files with Flume and command-line tools |
IBM Big Data Engineer Exam FAQ — Trustworthy Answers
Upon successful payment, our system emails the IBM Big Data Engineer material automatically within about a minute, with 24/7 help if nothing arrives within 2 hours. If you fail the corresponding C2090-101 exam within 60 days of purchase, we refund the full amount: send a scanned enrollment slip plus the official Score Report PDF within 2 days of the exam, processed within 7 days. Excluded: exams within 3 days of purchase, candidate names that don't match the payer, and free or expired products. Or exchange for two equal-value products free.
No formal prerequisites; recommended 1-2 years of hands-on experience with Hadoop, IBM BigInsights, Hive, Pig, HBase, and SQL Eligibility rules change over time, so verify the current requirements on the official page (official C2090-101 exam page) before registering.
The IBM Big Data Engineer is IBM's certification exam for IBM Certified Data Engineer – Big Data, at the Professional level. Employers read it as a measure of individual ability in routine technical work. Related credentials include IBM Analytics: Platform Analytics.
Yes:
After any course, focus on the verified key points with the 108 practice questions for the IBM Big Data Engineer — every answer expert-verified.
200 USD per attempt, 65% to pass. Retakes cost the full fee — save time and money by preparing with the 108 practice questions for the C2090-101 exam at GetValidTest.
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The IBM Big Data Engineer is delivered Proctored online or onsite at Pearson VUE test centers — pick the arrangement that suits you when booking.
75 minutes for 53 questions. Practice anytime anywhere with the GetValidTest APP — steady daily sessions build the pacing you need.
Yes — we provide the free PDF demo of the IBM Big Data Engineer dumps so you can look at the content and gain a further understanding before paying. Purchases include 365 days of free updates by email; renew afterward at 50% off.
The IBM Big Data Engineer blueprint spans 5 domains — including Data Security (8%), Architecture and Integration (17%), Data Preparation, Transformation, and Export (26%). Our material stays closely linked to these knowledge points; the complete outline above lists every subtopic.
IBM Big Data Engineer Sample Questions:
Which Big SQL file format could be expected to result in a longer running query?
- A. Text
- B. Avro
- C. Sequence_text
- D. Parquet
Correct Answer: D 🗳️
Explanation: Only visible for GetValidTest members. You can sign-up / login (it's free).
Which of the following statements is TRUE regarding search visualization with Apache Hue?
- A. The Hue Beeswax application enables you to perform queries on HBase
- B. For optimal performance, the Hue Server should be one of the nodes within your Hadoop cluster
- C. The Hue Sqoop UI allows transferring data from a relational database to Hadoop, but not from Hadoop to a relational database
- D. Hue utilizes Java libraries which must be installed on your system
Correct Answer: C 🗳️
Explanation: Only visible for GetValidTest members. You can sign-up / login (it's free).
How are insights derived from Big Match moved to an MDM system?
- A. Extract insights from Hive and load into MDM using standard tooling
- B. Extract insights from HBase and load into MDM using standard MDM batch processing tool
- C. Extract insights from HDFS and load into MDM by stimulating delta load
- D. Extract insights from HBase and load into MDM through an API call
Correct Answer: C 🗳️
Which of the following is the most effective method for improving query performance on large Hive tables?
- A. De-normalizing data
- B. Partitioning
- C. Indexing
- D. Bucketing
Correct Answer: D 🗳️
Explanation: Only visible for GetValidTest members. You can sign-up / login (it's free).
To improve Big SQL query performance one should specify the INPUTFORMAT and OUTPUTFORMAT during which of the following?
- A. When the file is initially stored in HDFS
- B. SELECT statements
- C. CREATE and ALTER table statements
- D. While the files are accessed in your program
Correct Answer: C 🗳️
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