Exam Name: Foundations of IBM Big Data & Analytics Architecture V1
Certification Provider: IBM
Corresponding Certification: IBM Certified Solution Advisor
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Updated: Sep 19, 2026
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IBM C2090-136 Exam Overview:
| Certification Vendor: | IBM |
|---|---|
| Exam Name: | Foundations of IBM Big Data & Analytics Architecture V1 |
| Exam Number: | C2090-136 |
| Related Certifications: | IBM Big Data & Analytics IBM Certified Solution Advisor |
| Passing Score: | 70% |
| Real Exam Qty: | 58 |
| Exam Format: | Multiple Choice |
| Exam Duration: | 90 minutes |
| Available Languages: | English |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Delivered through Pearson VUE test centers or online proctored delivery.:contentReference[oaicite:0]{index=0} |
| Pre Condition: | No specific prerequisite exams required. |
| Official Syllabus URL: | https://www.ibm.com/training/certification |
IBM C2090-136 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Big Data & Analytics Concepts | - Analytics types and use cases
|
| Data Governance & Security | - Governance principles
|
| IBM Big Data Architecture | - IBM Products in Big Data
|
| Big Data Design Principles | - Design principles
|
Common Questions About the IBM Foundations of IBM Big Data & Analytics Architecture V1 Exam
The C2090-136 exam is a IBM certification exam validating the IBM Foundations of IBM Big Data & Analytics Architecture V1 syllabus shown above. It belongs to these credential paths: IBM Certified Solution Advisor, IBM Big Data & Analytics. Candidates in 2026 prepare for it with PassLeader's 60 practice questions, available as a printable PDF, a Windows Desktop Test Engine, and an Online Test Engine — three versions of the same materials.
Delivered through Pearson VUE test centers or online proctored delivery.:contentReference[oaicite:0]{index=0} Register for the IBM Foundations of IBM Big Data & Analytics Architecture V1 exam through these official channels:
After booking, PassLeader delivers your practice questions within 1 minute — preparation starts the same day.
Three versions of the same study materials: a printable, expert-prepared PDF with free demo download and instant access; a Desktop Test Engine for Windows that simulates the real exam with two practice modes and works offline; and an Online Test Engine for any browser on Windows, Mac, Android, and iOS with test history and performance review. All 60 practice questions are identical across versions. Every purchase includes 365 days of free updates, a 50% renewal discount afterward, and unlimited computer installations — and the website runs discounts at intervals, so timing your purchase can save a little more.
The IBM Foundations of IBM Big Data & Analytics Architecture V1 exam contains 58 to complete within 90 minutes. Timed simulation in the PassLeader Desktop Test Engine teaches that rhythm before exam day does.
The official IBM Foundations of IBM Big Data & Analytics Architecture V1 outline defines 4 domains. The leading three are IBM Big Data Architecture, Data Governance & Security, and Big Data Design Principles. The full list is in the topics section above, and PassLeader's 60 practice questions cover each one.
IBM recommends these training resources for the IBM Foundations of IBM Big Data & Analytics Architecture V1 exam:
Follow the training with steady self-testing — the 60 practice questions from PassLeader help you apply theory and fill any gaps the training leaves.
No specific prerequisite exams required. Since requirements change over time, confirm the latest on the official IBM exam page before scheduling.
PassLeader issues a full refund if you take the IBM Foundations of IBM Big Data & Analytics Architecture V1 exam within 60 days of purchase and do not pass. The policy does not apply if the exam is taken within 3 days of purchase, if the exam was never actually taken, or to free materials or expired orders, and the candidate name must match the payer name. Submit a scan of your enrollment slip and the official Score Report PDF within 2 days of the exam; claims are processed within 7 days. Alternatively, exchange for two free exam products of equal value and keep your original update service. Orders arrive by email within 1 minute — contact support if nothing arrives within 2 hours.
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IBM Foundations of IBM Big Data & Analytics Architecture V1 Sample Questions:
IBM Watson provides a cognitive system offering the latest combination of products used together to form
a Big Data & Analytics platform. Why would a customer choose to use IBM Watson?
- A. The customer needs to run a NLP (Natural Language Processing) system on their own hardware in
their own data center. - B. The customer wants a solution where the IBM Services team does the work required to load data and
train Watson for the customers area of expertise. - C. The customer requires an evidence-based response system in order to make better business decisions
based upon a broader data set. - D. The customer wants to build their own IBM Watson solution by purchasing the IBM products from the
platform named Watson Foundations.
Correct Answer: D 🗳️
Which option best supports the capability of a real time business decision engine to optimize transactional
decisions?
- A. IBM InfoSphere Streams
- B. IBM Analytical Decision Management
- C. IBM Business Process Management
- D. IBM Operational Decision Management
Correct Answer: A 🗳️
Which characteristic best describes the IBM PureData for Analytics solution?
- A. An advanced analytics platform that fuses data warehousing with in-database analytics in a massively
parallel multi-purpose engine. - B. A purpose built, high performance, single thread platform for massive data analytics.
- C. An advanced analytics platform designed to crunch terabytes of data using in-memory database, and
parallelized algorithms that take advantage of Asymmetric Massively Parallel Processing Architecture. - D. An embedded, purpose-built analytics platform that fuses data warehousing and in-database analytics
into a scalable massively parallel analytic platform.
Correct Answer: B 🗳️
A Solution Advisor reviews the IBM Big Data & Analytics Maturity Model with a customer and concludes
that their information architecture framework exists but does not extend to new data sources or advanced
analytics capabilities. Which stage of maturity are they in with the Architecture category?
- A. Foundational
- B. Differentiating
- C. Ad Hoc
- D. Competitive
Correct Answer: D 🗳️
What is required of an integration tool to make it effective in a Big Data & Analytics environment?
- A. Data transformations are performed in the target system to free the source system for transactional
processing. - B. Data transformations are performed in a specialized tool and dedicated environment.
- C. Data transformations are performed in the source system to free the target system for analytics.
- D. Data transformations are performed in parallel with the ability to push processing to the storage
engines.
Correct Answer: D 🗳️
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