- Exam Code: C2090-136
- Exam Name: Foundations of IBM Big Data & Analytics Architecture V1
- Updated: Oct 28, 2026
- Q & A: 60 Questions and Answers
Some study materials ask you to adapt to them. Actual4Dumps does the opposite for the C2090-136 exam: 60 practice questions organized around the official outline, a printable PDF for note-takers, a Windows test engine for realistic simulation, and a browser-based engine for everything else. Pick whichever fits the way you actually study.
| Certification Vendor: | IBM |
|---|---|
| Exam Name: | Foundations of IBM Big Data & Analytics Architecture V1 |
| Exam Number: | C2090-136 |
| Related Certifications: | IBM Big Data Engineer certifications IBM Data Science certifications |
| Exam Format: | Scenario-based questions, Multiple choice |
| Available Languages: | English |
| Recommended Training: | IBM Big Data and Analytics training courses |
| Exam Registration: | IBM Certification Portal |
| Sample Questions: | ![]() |
| Exam Way: | Computer-based exam (online proctored or test center depending on region and IBM testing partner) |
| Pre Condition: | No formal prerequisites, but familiarity with data management and analytics concepts is recommended. |
| Official Syllabus URL: | https://www.ibm.com/certify |
| Section | Objectives |
|---|---|
| Analytics and Data Processing | - Machine learning workflow basics - Descriptive, predictive, and prescriptive analytics - Data mining and statistical analysis concepts |
| Big Data Fundamentals | - Traditional data systems vs distributed data systems - Characteristics of big data (volume, velocity, variety, veracity) |
| IBM Big Data Ecosystem | - IBM Streams for real-time analytics - IBM BigInsights overview and Hadoop ecosystem integration - IBM InfoSphere components and data integration tools |
| Big Data Architecture | - Distributed storage concepts (HDFS and object storage principles) - Processing frameworks (batch and streaming paradigms) - Data ingestion pipelines and integration patterns |
| Data Governance and Security | - Data governance frameworks and metadata management - Data privacy, compliance, and access control principles |
The official IBM Foundations of IBM Big Data & Analytics Architecture V1 outline divides the exam into 5 major domains. The three that carry the most weight are Data Governance and Security, IBM Big Data Ecosystem, and Big Data Architecture. You can see the full breakdown in the topics section above, and the 60 practice questions at Actual4Dumps cover every listed domain.
Question counts and time limits are set by IBM and can change between exam versions; check the official exam page for the current format.
IBM recommends the following training and study resources for the IBM Foundations of IBM Big Data & Analytics Architecture V1 exam:
Official courses are a solid foundation, and many candidates pair them with the 60 practice questions from Actual4Dumps to test whether the material actually sticks under exam-style conditions.
The C2090-136 exam is a IBM certification exam that validates the knowledge outlined in the official IBM Foundations of IBM Big Data & Analytics Architecture V1 syllabus shown above. It is associated with the following credential paths: IBM Data Science certifications, IBM Big Data Engineer certifications. Employers in 2026 continue to treat IBM credentials as reliable proof of skill, which is why the exam attracts candidates at many career stages. Actual4Dumps supports your preparation with 60 practice questions in PDF, Desktop Test Engine, and Online Test Engine formats.
No formal prerequisites, but familiarity with data management and analytics concepts is recommended. For the most current eligibility details, always confirm on the official IBM exam page before you schedule.
Actual4Dumps backs your purchase with a written refund commitment: if you take the IBM Foundations of IBM Big Data & Analytics Architecture V1 exam within 60 days of purchase and do not pass, you can claim a full refund. 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. To claim, 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. Prefer to keep studying instead? You can exchange for two free exam products of equal value while keeping your original product's update service. Orders are delivered by email within 1 minute — if nothing arrives within 2 hours, contact support and the team will sort it out.
Scoring and fees are published by IBM and may differ by region or exam version, so verify the current figures on the official site before budgeting.
Every purchase includes the full set of 60 practice questions for the IBM Foundations of IBM Big Data & Analytics Architecture V1 exam in all three formats — a printable PDF prepared by experts, a Desktop Test Engine for Windows with two practice modes that simulates the real exam environment offline, and an Online Test Engine that runs in any browser on Windows, Mac, Android, and iOS with test history and performance review. You can install the products on unlimited computers, try a free demo first, and receive free updates for 365 days. When your update year ends, renewal comes at 50% off.
Computer-based exam (online proctored or test center depending on region and IBM testing partner) Registration for the IBM Foundations of IBM Big Data & Analytics Architecture V1 exam is handled through these official channels:
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Which IBM storage solution provides capabilities for improving data economics in an analytics
environment based on these criteria?
. Self-tuning and always optimized
. Consistently delivering high performance
. Highly scalable storage services for a wide range of dynamic workloads
. Self-healing
. Providing support for data at rest encryption
Correct Answer: A 🗳️
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?
Correct Answer: C 🗳️
Which statement istrue when dealing withtraditional and non-traditional data sources?
Correct Answer: B 🗳️
Which characteristic best describes the IBM PureData for Analytics solution?
Correct Answer: B 🗳️
A construction supply company has a lot of machine data ranging from sensors to GPS readings. They
want to integrate and analyze this data to help them optimize their resource allocation and gain real time
maintenance decision support while ensuring customer satisfaction. Which use case examples should the
Solution Advisor review to guide them on their Big Data & Analytics adoption planning?
Correct Answer: A 🗳️
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