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IBM C2090-136 : Foundations of IBM Big Data & Analytics Architecture V1
- Exam Code: C2090-136
- Exam Name: Foundations of IBM Big Data & Analytics Architecture V1
- Updated: Oct 22, 2026 Q&As: 60 Questions and Answers
About IBM C2090-136 Exam
Exam objectives change, and outdated material quietly wastes your time. DumpsTests ships free updates for 365 days, so your C2090-136 practice questions stay aligned with the current IBM Foundations of IBM Big Data & Analytics Architecture V1 exam through 2026 and beyond.
IBM C2090-136 Exam Overview:
| Certification Vendor: | IBM |
|---|---|
| Exam Name: | Foundations of IBM Big Data & Analytics Architecture V1 |
| Exam Number: | C2090-136 |
| Available Languages: | English |
| Exam Format: | Multiple choice, Scenario-based questions |
| Related Certifications: | IBM Big Data Engineer certifications IBM Data Science certifications |
| 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 |
IBM C2090-136 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Analytics and Data Processing | - Data mining and statistical analysis concepts - Machine learning workflow basics - Descriptive, predictive, and prescriptive analytics |
| Topic 2: Data Governance and Security | - Data privacy, compliance, and access control principles - Data governance frameworks and metadata management |
| Topic 3: Big Data Fundamentals | - Characteristics of big data (volume, velocity, variety, veracity) - Traditional data systems vs distributed data systems |
| Topic 4: IBM Big Data Ecosystem | - IBM InfoSphere components and data integration tools - IBM BigInsights overview and Hadoop ecosystem integration - IBM Streams for real-time analytics |
| Topic 5: Big Data Architecture | - Distributed storage concepts (HDFS and object storage principles) - Data ingestion pipelines and integration patterns - Processing frameworks (batch and streaming paradigms) |
C2090-136 Exam FAQ: What You Need to Know Before You Book
The C2090-136 exam is the official IBM exam that leads to the IBM Big Data & Analytics Foundations certification, positioned at the Associate level. It validates the skills employers expect from certified professionals, and passing it is a concrete step forward in an IT career. It is also connected with other credentials in the same track, including IBM Data Science certifications, IBM Big Data Engineer certifications.
Yes. DumpsTests offers a free PDF demo of the IBM Foundations of IBM Big Data & Analytics Architecture V1 material, so you can check the question style and answer quality before paying. After purchase, your product includes 365 days of free updates; once that period expires, you can extend the update service at a 50% discount from your member zone.
The IBM Foundations of IBM Big Data & Analytics Architecture V1 exam is organized into 5 domains. The main ones include Data Governance and Security; Big Data Architecture; Big Data Fundamentals. Weightings tell you where to spend most of your study time, and the full topic breakdown is listed in the exam outline section above on this page.
You can book the C2090-136 exam through the official registration channels below:
The exam is delivered as Computer-based exam (online proctored or test center depending on region and IBM testing partner), so pick the option that fits your schedule when booking.
If you take the IBM Foundations of IBM Big Data & Analytics Architecture V1 exam within 60 days of your purchase and do not pass, you can apply for a full refund under the DumpsTests refund policy. The claim requires a scanned enrollment slip and your official Score Report in PDF, submitted within 2 days after the exam; claims are processed within 7 days. Note that the guarantee applies only to the corresponding exam — attempts taken within 3 days of purchase, downloaded-but-never-taken exams, free materials, and expired orders are not covered, and the candidate name must match the payer name. Prefer new material instead of a refund? You can swap for two free exam products of equal value and keep the update service on your original purchase. As for delivery, everything is instant: the download link reaches your mailbox within one minute of payment (contact support if nothing arrives within 2 hours), and there is no limit on how many computers you can install it on.
No formal prerequisites, but familiarity with data management and analytics concepts is recommended. Requirements like these can change, so before you book, confirm the current eligibility rules on the official page: https://www.ibm.com/certify.
IBM recommends the following training options for C2090-136 candidates:
Official courses build the theory; the 60 practice questions from DumpsTests then let you measure how ready you actually are for the real exam.
IBM Foundations of IBM Big Data & Analytics Architecture V1 Sample Questions:
Question #1
Which two statements are true when considering a solution for real-time data processing?
- A. Real-time analytics can be performed within IBM InfoSphere Biglnsights by using the inmemoryquery
engine in IBM Biglnsights after data has first flowed through IBM InfoSphere Streams to capture data into
memory. - B. Real-time analytics provided by IBM InfoSphere Streams can be used for fraud detection, health
monitoring, or machine data processing, whereas other products in IBM's Big Data & Analytics platform
are provided for sensor data and other real-time scenarios. - C. Real-time data can be processed by IBM InfoSphere Streams and then optionally stored within IBM
InfoSphere Biglnsights as part of the IBM Big Data & Analytics platform. - D. Real-time data processing within IBM InfoSphere Biglnsights can be performed with sub-second
response times using Apache Hadoop Streaming, and IBM InfoSphere Streams is included for processing
sensor-generated data. - E. Real-time prediction and scoring can be performed by using the combination of IBM InfoSphere
Streams and SPSS products within the IBM Big Data & Analytics platform.
Correct Answer: B,C 🗳️
Question #2
A Solution Advisor is requested to attend a new customer discovery call to support their Big Data &
Analytics thinking and planning. The only information she is initially provided is the company background,
how they support their industry, their purchasing history for hardware and software, and their general
interest in doing more with information analysis. What is the typical first step that she should discuss with
the customer?
- A. Identify their business objectives and use cases for Big Data & Analytics.
- B. Discuss their current product installation and look for cross sell potential for Big Data & Analytics
solutions. - C. Find out which competitors they are using or considering for Big Data & Analytics.
- D. Identify their frustrations and gaps with their current product usage for Big Data & Analytics.
Correct Answer: B 🗳️
Question #3
Which document from the IBM Big Data & Analytics Reference Architecture details the customer
engagement model and sample discovery workshop template for building a customer's roadmap to adopt
Big Data & Analytics?
- A. Business Direction
- B. Architecture Overview
- C. Architecture Decisions
- D. Use Cases
Correct Answer: B 🗳️
Question #4
The Fair Information Practice Principles methodology recommends using personal information only for
the purposes that are specified when collecting that information. What aspect of security is required to
support this principle?
- A. Data masking substitutes real data with realistic looking fictitious data to minimize the risk of exposure.
- B. Auditability of where the data came from is needed to track which data was collected for what purpose
- C. Encryption scrambles sensitive data so that only authorized users can see the clear text information.
- D. Database activity monitoring
Correct Answer: C 🗳️
Question #5
The annotators perform which tasks in this information flow diagram for the search and analytics process?
- A. They create searchable indexes/collections with annotations.
- B. They identify and mark concepts relevant for the organization.
- C. They work with custom dictionaries, rules, and annotators.
- D. They collect documents specialized for types of data sources
Correct Answer: A 🗳️
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