Study with P2090-032 Actual Test Questions
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Updated: Sep 14, 2026
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IBM P2090-032 Exam Overview:
| Certification Vendor: | IBM |
|---|---|
| Exam Name: | IBM Big Data Fundamentals Technical Mastery Test v1 |
| Exam Number: | 000-N32 |
| Available Languages: | English |
| Related Certifications: | IBM Big Data Technical Mastery |
| Exam Format: | Multiple Choice |
| Sample Questions: | IBM P2090-032 Sample Questions |
| Exam Way: | Online technical mastery assessment available through IBM training and certification platforms. |
| Pre Condition: | No formal prerequisite; basic understanding of Big Data concepts and IBM Big Data solutions is recommended. |
| Official Syllabus URL: | https://www.ibm.com/training/credentials |
IBM P2090-032 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Core Big Data Technologies | - NoSQL database concepts - MapReduce processing model - Hadoop ecosystem fundamentals |
| Topic 2: Big Data Fundamentals | - Business drivers and value of Big Data - Big Data challenges and opportunities - Definition and characteristics of Big Data |
| Topic 3: Analytics and Business Applications | - Real-time and streaming analytics - Predictive analytics fundamentals - Business intelligence and decision support scenarios |
| Topic 4: IBM Big Data Solutions | - Integration with IBM analytics and information management products - IBM InfoSphere BigInsights overview - IBM InfoSphere Streams overview |
| Topic 5: Big Data Architecture | - Data acquisition and ingestion - Distributed storage concepts - Data processing and analytics pipeline |
IBM Big Data Fundamentals Technical Mastery Test v1 Sample Questions:
Which of the following options best describes the differences between a traditional data warehouse environment and a Hadoop environment?
- A. Typically, data stored in data warehousing environments is rarely filtered and pre-processed.
On the other hand, data injected into Hadoop
environments is always pre-processed and filtered. - B. Traditional data warehousing environments are mostly ideal for analyzing structured data from
various systems, while a Hadoop environment is
well suited to deal with semi-structured and unstructured data, as well as when a data discovery
process is needed. - C. Hadoop environments are mostly ideal for analyzing structured and semi-structured data from a
single system, while traditional data
warehousing environment is well suited to deal with unstructured data, as well as when a data
discovery process is needed. - D. Typically, data stored in Hadoop environments is cleaned up before storing in the distributed
file-system.
Correct Answer: B 🗳️
Which of the following options is CORRECT?
- A. InfoSphere Streams optimizes its workload by aggregating an entire job into a single node.
- B. InfoSphere Streams is only able to process traditional structured data from a variety of sources.
- C. InfoSphere Streams high availability feature allows for processing elements (PEs) on failing
nodes to be moved and automatically restarted,
with communications re-routed, to a healthy node. - D. InfoSphere Streams does not allow you to dynamically add hosts and jobs
Correct Answer: C 🗳️
Which of the following options is CORRECT?
- A. InfoSphere Data Explorer provides powerful navigation capabilities across all the important information stored exclusively into Hadoop Distributed File System in a single view. No other file systems are supported.
- B. InfoSphere Data Explorer can find, extract and deliver content regardless of format or where it resides.
- C. InfoSphere Data Explorer is not able to mirror pre-existing security frameworks, therefore it doesn?t make use of industry-standard authentication and authorization processes already in place.
- D. InfoSphere Data Explorer uses a vector-based index for unique search and indexing flexibility.
Correct Answer: B 🗳️
Which of the following components is a feature from InfoSphere Data Explorer's Discovery module?
- A. Auto-correction
- B. Auto-classification
- C. Auto-save
- D. Auto-commit
Correct Answer: B 🗳️
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