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IBM P2090-032 exam : IBM Big Data Fundamentals Technical Mastery Test v1
- Exam Code: P2090-032
- Exam Name: IBM Big Data Fundamentals Technical Mastery Test v1
- Updated: Oct 23, 2026
- Q & A: 34 Questions and Answers
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About IBM P2090-032 Exam Braindumps
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IBM P2090-032 Exam Overview:
| Certification Vendor: | IBM |
|---|---|
| Exam Name: | IBM Big Data Fundamentals Technical Mastery Test v1 |
| Exam Number: | P2090-032 |
| Real Exam Qty: | 33-34 |
| Available Languages: | English, German, Italian, French, Spanish, Japanese |
| Exam Duration: | 75 minutes |
| Exam Format: | Multiple Select, Multiple Choice |
| Passing Score: | 67% |
| Related Certifications: | IBM InfoSphere BigInsights Technical Mastery IBM Information Management Mastery |
| Certificate Validity Period: | Retired, no longer active |
| Exam Price: | USD 100 - 200 (varies by region) |
| Recommended Training: | IBM Big Data Fundamentals Course |
| Exam Registration: | IBM Training & Certification |
| Sample Questions: |  |
| Exam Way: | Online proctored or authorized testing center (before retirement) |
| Pre Condition: | No formal prerequisites; basic knowledge of data management and IT concepts recommended |
| Official Syllabus URL: | https://www.ibm.com/training/certification |
IBM P2090-032 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: InfoSphere Streams | 25% | - Real-time streaming analytics concepts - Integration with other IBM big data solutions - Architecture and use cases |
| Topic 2: InfoSphere BigInsights and Hadoop Ecosystem | 30% | - BigInsights editions and capabilities - Data storage and processing frameworks - Architecture and components of InfoSphere BigInsights - Integration with Apache Hadoop |
| Topic 3: InfoSphere Data Explorer | 20% | - Federated data access and connectivity - Support for diverse data sources - Search and discovery functionality |
| Topic 4: Big Data Concepts and Characteristics | 25% | - Business drivers and challenges of big data - 4 Vs of Big Data: Volume, Velocity, Variety, Veracity - Structured, semi-structured, and unstructured data types |
The P2090-032 Exam and Our Materials: Full Details
You do not need to buy review material twice. If you fail the corresponding exam within 60 days of purchase, send us a scanned copy of your enrollment slip and your official Score Report PDF within two days of the exam date, and we will process a full refund within seven days of verification. Exclusions: exams taken within three days of purchase, candidate names that do not match the payer, and free or expired products. If you would rather switch tracks, we will exchange your product for two others of equal value at no cost.
The IBM Big Data Fundamentals Technical Mastery Test v1 blueprint centers on these domains:
- InfoSphere Data Explorer (20%)
- InfoSphere Streams (25%)
- Big Data Concepts and Characteristics (25%)
Additional domains complete the official outline, and our bank covers every one.
Registration goes through the official channels below:
Pick a test center or online session that fits your calendar, and book early for the widest choice of dates.
By daily checking and automatic delivery. Our IBM experts check for updates every day, and whenever the P2090-032 bank is revised, the system sends the latest version to you automatically — free for 365 days from purchase. The bank stays closely linked to the actual exam content, with expert-verified answers throughout. Choose among three formats: a printable PDF for easy notes, a Windows PC test engine that simulates the real exam environment, and an online engine that runs on any device and works offline after the first download. A free demo lets you experience all of it before buying.
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Currently, the P2090-032 exam's passing score is 67% and the registration fee is USD 100 - 200 (varies by region). These figures belong to IBM and can be revised, so confirm them on the official site before scheduling.
IBM states the following prerequisites for the IBM Big Data Fundamentals Technical Mastery Test v1: No formal prerequisites; basic knowledge of data management and IT concepts recommended.
For the authoritative details, see the official certification page.
IBM recommends these official training resources:
Pair the course that fits your background with consistent question practice for the best results.
According to the latest exam information, the P2090-032 exam contains 33-34 questions and lasts 75 minutes minutes. Simulating those conditions at home with the PC test engine is excellent preparation for the real environment.
IBM Big Data Fundamentals Technical Mastery Test v1 Sample Questions:
Question #1
What are the ?4 Vs? that characterize IBM?s Big Data initiative?
- A. Velocity, Volatility, Variety, Veracity
- B. Variety, Versions, Velocity, Volatility
- C. Veracity, Variety, Volume, Velocity
- D. Volume, Volatility, Velocity, Variety
Correct Answer: C 🗳️
Question #2
What is HADOOP?
- A. Hadoop is a universal Big Data programming language used to query large datasets.
- B. Hadoop is a framework that allows for the distributed processing of large data sets across clusters of computers using a simple programming model.
- C. Hadoop is framework capable of transforming raw, unstructured data into plain, regular data readable by traditional data warehouses.
- D. Hadoop is a single-node file system used as a base for storing traditional formatted data.
Correct Answer: B 🗳️
Question #3
Which of the following options are CORRECT (Choose two)?
- A. The Stream Processing Language provides a language that works with the Streams run-time framework to support streaming applications.
- B. Users can deploy existing data mining scoring models in Streams applications for real time insights as opposed to running those models on persistent, or stored data.
- C. Users can develop Streams applications using Data Studio Web Console, an Eclipse-based Integrated Development Environment (IDE).
- D. InfoSphere Streams perform complex analytics on data at rest.
Correct Answer: A,B 🗳️
Question #4
Which of the following options is NOT CORRECT?
- A. Big data solutions are ideal for iterative and exploratory analysis when business measures on data are not predetermined.
- B. Big data solutions are ideal for analyzing not only raw structured data, but semi- structured and unstructured data from a wide variety of sources.
- C. Big data solutions are ideal when all, or most, of the data needs to be analyzed versus a sample of the data; or a sampling of data isn?t nearly as effective as a larger set of data from which to derive analysis.
- D. Big data solutions are ideal for Online Transaction Analytical Process (OLTP) environments.
Correct Answer: D 🗳️
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