Exam Name: IBM Big Data Fundamentals Technical Mastery Test v1
Certification Provider: IBM
Corresponding Certification: IBM Mastery
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No. of Questions: 34 Questions & Answers with Exam Engine
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Preparing for a IBM credential calls for material that follows the official scope. Actual4dump builds its IBM Big Data Fundamentals Technical Mastery Test v1 practice set around the 000-N32 objectives, with 34 questions designed to support a focused review.
IBM 000-N32 Exam Overview:
| Certification Vendor: | IBM |
|---|---|
| Exam Name: | IBM Big Data Fundamentals Technical Mastery Test v1 |
| Exam Number: | 000-N32 |
| Exam Format: | Multiple Select, Multiple Choice |
| Exam Duration: | 75 minutes |
| Certificate Validity Period: | 2 years |
| Exam Price: | $200 USD |
| Real Exam Qty: | 34 |
| Available Languages: | Japanese, English, Simplified Chinese |
| Passing Score: | 65% |
| Related Certifications: | P2090-032 IBM Big Data Fundamentals v2 IBM Certified Specialist - Big Data |
| Recommended Training: | IBM Big Data Fundamentals Training IBM BigInsights and Streams Courses |
| Exam Registration: | Pearson VUE Registration IBM Certification Portal |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Online proctored or onsite at Pearson VUE test centers; Exam is retired, replaced by P2090-032 |
| Pre Condition: | No formal prerequisites; recommended basic knowledge of data processing and distributed systems |
| Official Syllabus URL: | https://www.ibm.com/certify/exams/000-N32 |
IBM 000-N32 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Big Data Concepts & Architecture | 30% | - Hadoop ecosystem fundamentals
- Characteristics of Big Data (4 Vs) |
| Topic 2: IBM InfoSphere BigInsights | 35% | - Data processing and storage - Architecture and components
|
| Topic 3: IBM InfoSphere Streams | 20% | - Stream computing concepts - Real-time data processing - Architecture and development tools |
| Topic 4: IBM Big Data Portfolio & Solutions | 15% | - Overview of IBM Big Data offerings - Integration and deployment scenarios - Comparison with competing solutions |
IBM 000-N32 Certification Exam FAQ
The 000-N32 exam, IBM Big Data Fundamentals Technical Mastery Test v1, assesses whether a candidate can apply IBM knowledge to the skills measured by this credential. It is associated with the IBM Big Data Fundamentals Technical Mastery certification. The certification is positioned at the Mastery level. Related credentials include IBM Certified Specialist - Big Data, P2090-032 IBM Big Data Fundamentals v2.
The 000-N32 exam includes 34 questions and allows 75 minutes. Plan your pacing before exam day rather than calculating it under pressure. Timed sessions with Actual4dump practice tests can help you decide when to flag a difficult item, keep moving, and reserve enough time for a final review.
The published passing score for IBM Big Data Fundamentals Technical Mastery Test v1 is 65%, and the official exam fee is $200 USD. A retake requires budgeting for the full official fee again, so it is sensible to complete several timed practice tests before scheduling. Consistent results across the 34 practice questions can give you a clearer picture of your readiness.
The stated prerequisite information for IBM Big Data Fundamentals Technical Mastery Test v1 is: No formal prerequisites; recommended basic knowledge of data processing and distributed systems Before registering, review the eligibility details on the official exam page to confirm the requirements.
You can register for IBM Big Data Fundamentals Technical Mastery Test v1 through the following channels:
The available exam delivery format is Online proctored or onsite at Pearson VUE test centers; Exam is retired, replaced by P2090-032.
The following official training resources are recommended for IBM Big Data Fundamentals Technical Mastery Test v1:
After reviewing these training options, you can reinforce each topic with 34 practice questions from Actual4dump.
Yes. Actual4dump provides a free PDF demo so you can review the format and quality of the IBM Big Data Fundamentals Technical Mastery Test v1 practice questions before placing an order. Your purchase includes 365 days of free updates, and you can extend the update service after expiration at a 50% discount.
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The published IBM Big Data Fundamentals Technical Mastery Test v1 outline contains 4 major domains. The opening domains include:
- IBM Big Data Portfolio & Solutions (15%)
- IBM InfoSphere BigInsights (35%)
- IBM InfoSphere Streams (20%)
Review the complete Exam Topics section above for every domain and subtopic before planning your study time.
IBM Big Data Fundamentals Technical Mastery Test v1 Sample Questions:
Question 1
Which of the following statements is NOT CORRECT?
A. InfoSphere Streams provides support for reuse of existing Java or C++ code, as well as Predictive Model Markup Language (PMML) models.
B. InfoSphere Streams supports both command line and graphical interfaces to administer the
C. InfoSphere Streams jobs must be coded using either HiveQL or Jaql languages.
D. InfoSphere Streams supports communications to Internet Protocol version 6 (IPv6) networks.
Question 2
What is the difference between Hadoop?s MapReduce and IBM?s Adaptive MapReduce feature available in InfoSphere BigInsights?
A. Hadoop?s MapReduce is optimized for operating on small partitioned tables stored in the HBase component, while IBM?s Adaptive MapReduce is optimized for operating on large partitioned files.
B. Hadoop?s MapReduce is optimized for operating on small files or splits, while IBM?s Adaptive MapReduce is optimized for operating on large files stored in individual blocks.
C. Hadoop?s MapReduce is optimized for operating on large files, while IBM?s Adaptive MapReduce is configurable to operate optimized on large or small files or splits.
D. Hadoop?s MapReduce is optimized for operating on small files or splits, while IBM?s Adaptive MapReduce is optimized for operating on large partitioned files.
Question 3
Which of the following options contains the main components of Hadoop? (Choose three)
A. Text Analytics.
B. Apache Commons.
C. Hadoop Distributed File System (HDFS).
D. MapReduce framework.
Question 4
Which of the following InfoSphere BigInsights features provides a vast library of extractors enabling actionable insights from large amounts of native textual data?
A. Text Analytics.
B. General Parallel File System.
C. Adaptive MapReduce.
D. BigSheets.
Solutions:
| Question 1 Answer: C | Question 2 Answer: C | Question 3 Answer: B,C,D | Question 4 Answer: A |
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