IBM C2030-102 : IBM Big Data Architect

C2030-102 testking pdf

Exam Code: C2030-102

Exam Name: IBM Big Data Architect

Updated: Sep 21, 2026

Q & A: 110 Questions and Answers

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About IBM C2030-102 Exam

Retakes are where exam budgets go to die: the C2030-102 fee is charged in full every single time. The IBM Big Data Architect practice questions from TestkingPDF cost far less than one retake and aim to prevent it.

IBM C2030-102 Exam Overview:

Certification Vendor:IBM
Exam Name:IBM Certified Solution Architect - Big Data (C2090-102)
Exam Number:C2090-102
Available Languages:English
Exam Format:Multiple choice (varies by delivery)
Recommended Training:IBM Training & Skills Gateway
Exam Registration:Pearson VUE IBM Exams
IBM Certification Portal
Sample Questions:Free Download C2030-102 prep4sure dumps
Exam Way:Delivered via Pearson VUE (online proctored or test center, depending on region).
Pre Condition:Recommended experience with data engineering or big data platforms.
Official Syllabus URL:https://www.ibm.com/certify

IBM C2030-102 Exam Syllabus Topics:

SectionObjectives
Data Governance and Security- Data quality and metadata management
- Security, compliance, and access control
Big Data Storage and Processing- Spark processing and distributed computation
- Hadoop ecosystem components
Data Ingestion and Integration- ETL/ELT pipelines
- Batch and streaming data ingestion patterns
Big Data Solution Design- Performance, reliability, and fault tolerance considerations
- Architectural patterns for scalable systems
Big Data Architecture Fundamentals- Big data concepts and ecosystem overview
- Distributed computing principles

Everything Candidates Ask About IBM Big Data Architect

IBM Big Data Architect is an official IBM certification exam, registered under the code C2030-102. Passing it awards the IBM Big Data Architect certification, a credential at the Professional level. Successfully passing matters to every candidate because the credential keeps working for your career long after exam day.

IBM recommends the following training for IBM Big Data Architect candidates.

Training broadens your technology knowledge; the 110 practice questions in the TestkingPDF C2030-102 package sharpen it into exam-day scoring ability.

Sign-up for IBM Big Data Architect runs through the official channels below.

One logistics note: the exam is delivered Delivered via Pearson VUE (online proctored or test center, depending on region)..

Recommended experience with data engineering or big data platforms.

Vendor requirements do change, so verify the current conditions before registering on the official exam page.

The IBM Big Data Architect blueprint covers 5 domains, with the largest being Big Data Architecture Fundamentals, Big Data Solution Design, and Big Data Storage and Processing. The full topic list is above on this page; it tells you exactly where your daily hour or two earns the most marks.

Yes, download the free demo of the IBM Big Data Architect questions before deciding, and read former customers' comments for an independent verdict. After purchase, new versions download free for one year, and when your product expires you can extend the update service at a 50% discount. Returning customers also enjoy bountiful discounts on future exams.

Your purchase carries a 100% money-back guarantee with defined conditions. Take the IBM Big Data Architect exam within 60 days of purchase; if you fail, you may claim a full refund, provided the exam matches your product. Attempts within 3 days of purchase are ineligible, as are downloaded-but-unused products, free materials, and expired orders; the candidate name must match the payer name. Submit a scanned enrollment slip and the official Score Report PDF within 2 days of the exam, and claims are processed within 7 days. Alternatively, exchange for two other exam products of equal value, free, with your original purchase keeping its update service.

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IBM Big Data Architect Sample Questions:

Question #1

For company B, 85% of their analytics queries only involve about 25% of their data; another 10% of the queries will touch 35% of the rest of the data, and only 5% of the queries will touch the remaining 40% of the data. The estimated volume is 50TB growing at 1 TB per year. Which of the following would provide the best value (business benefit) and lowest TCO?

  • A. Place the entire set of data in a hadoop environment - using commodity HW
  • B. Place the entire set of data in a data warehouse with proper partitioning and indexing
  • C. Place the top 25% of data (used by 85% of the query) in a hadoop environment, and the rest in a data warehouse
  • D. Place the top 25% of data (used by 85% of the query) in a data warehouse, and the rest in a hadoop environment
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Question #2

You need to set up a distributed storage system for being able to process very large data sets and you want to be able to leverage the Open Data Platform (ODP) Core. Which one of the following would you use?

  • A. HDFS
  • B. Apache Spark
  • C. IBM GPFS
  • D. EMC Isilon
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Question #3

The Yarn Resource Managers (RM) have an option to embed an ActiveStandbyElector to decide which RM should be the Active. Upon which of the following is it based?

  • A. JobTracker
  • B. Zookeeper
  • C. Name Node
  • D. Task Tracker
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Question #4

A telecommunication company needs a Big Data solution that could store and analyze multiple years worth of call detail records (CDRs, aprox. 17 billion events per day) containing switch, billing, and network event data for its millions of subscribers. Which of the following would you recommend for these requirements?

  • A. Infosphere DataStage
  • B. Pure Data System for Analytics
  • C. DB2
  • D. SPSS
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Question #5

Which one of the following statements about Big SQL is TRUE?

  • A. Big SQL supports updates in Hive.
  • B. Big SQL doesn't need any secondary indices to access HBase tables
  • C. Big SQL processes queries locally either on disk or in memory
  • D. Executing Big SQL queries through MapReduce framework would always be a better choice
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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