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C2090-101 pdf
  • Exam Code: C2090-101
  • Exam Name: IBM Big Data Engineer
  • Updated: Nov 04, 2026
  • Q & A: 108 Questions and Answers
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  • Exam Code: C2090-101
  • Exam Name: IBM Big Data Engineer
  • Updated: Nov 04, 2026
  • Q & A: 108 Questions and Answers
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  • Exam Code: C2090-101
  • Exam Name: IBM Big Data Engineer
  • Updated: Nov 04, 2026
  • Q & A: 108 Questions and Answers
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IBM C2090-101 Exam Overview:

Certification Vendor:IBM
Exam Name:IBM Big Data Engineer
Exam Number:C2090-101
Real Exam Qty:58
Certificate Validity Period:Not specified
Available Languages:English
Exam Duration:90 minutes
Related Certifications:IBM Certified Big Data Engineer
Passing Score:62%
Exam Format:Multiple Response, Multiple Choice
Exam Price:USD 200
Sample Questions:Free Download C2090-101 Prep4sure dumps
Exam Way:Pearson VUE authorized testing centers and online proctored exam (where available).
Pre Condition:No mandatory prerequisite exam. Practical experience with Hadoop and Big Data technologies is recommended.
Official Syllabus URL:https://www.ibm.com/certify/certs/20001001.shtml

IBM C2090-101 Exam Syllabus Topics:

SectionWeightObjectives
Hadoop Distributed Processing28%- Hadoop ecosystem
  • 1. MapReduce
  • 2. Cluster management
  • 3. HDFS architecture
  • 4. YARN
Data Governance, Security and Administration22%- Operational management
  • 1. Performance tuning
  • 2. Security concepts
  • 3. Monitoring and troubleshooting
  • 4. Data governance
Big Data Foundations12%- Big Data concepts
  • 1. Big Data architecture fundamentals
  • 2. Volume, Velocity, Variety, Veracity
  • 3. Big Data use cases
Data Collection and Ingestion14%- Data acquisition technologies
  • 1. Sqoop
  • 2. Flume
  • 3. Kafka
Data Transformation and Analytics24%- Data processing frameworks
  • 1. Apache Spark fundamentals
  • 2. Apache Hive
  • 3. Apache Pig
  • 4. Data querying and transformation

Answers to the Most Common Questions About IBM Big Data Engineer

The C2090-101 exam is the official IBM exam for IBM Big Data Engineer. Passing it earns you the IBM Analytics: Platform Analytics credential, which sits at the Professional level. It is also connected to IBM Certified Big Data Engineer, so what you learn carries over if you plan to pursue those paths as well. Employers treat the certification as verified proof of skill, which is why structured preparation with Prep4SureReview's practice questions pays off.

The C2090-101 exam contains 58 questions, and the time limit is 90 minutes. Translate that into a pacing plan before exam day: know roughly how long you can afford per item, flag anything that stalls you, and circle back at the end instead of burning minutes. Two or three full timed sessions in Prep4SureReview's test engine will teach you that rhythm far better than untimed reading ever will.

The passing score for the C2090-101 exam is 62%, and the official registration fee is USD 200. Remember that a failed attempt means paying that fee again in full for a retake, so treat self-assessment as part of the budget: run Prep4SureReview's practice questions under timed conditions and only book your seat once your scores sit comfortably above the passing bar.

No mandatory prerequisite exam. Practical experience with Hadoop and Big Data technologies is recommended. Eligibility details can change, so before you register, confirm the current requirements on the official exam page: https://www.ibm.com/certify/certs/20001001.shtml.

Yes. Prep4SureReview offers a free PDF demo of the IBM Big Data Engineer practice questions on the samples page, so you can judge the format and quality yourself before paying anything. Every purchase also includes 365 days of free updates, and after the product expires you can extend the update service at a 50% discount from within your member zone.

If you take the corresponding exam within 60 days of purchase and do not pass, Prep4SureReview backs you with a 100% money-back guarantee. To claim it, submit a scanned copy of your exam enrollment slip together with your official Score Report PDF within 2 days of the exam, and the refund is processed within 7 days. The guarantee does not apply to attempts made within the first 3 days after purchase, to products downloaded without actually sitting the exam, or to free materials and expired orders, and the candidate name must match the payer's name. If you would rather have study material than money, you can instead exchange for two additional exam products of equal value, free of charge, while keeping the update service on your original purchase. Delivery itself is instant: your download is available right after payment and a copy reaches your mailbox within one minute — if nothing arrives within 2 hours, contact customer service. You may install the product on as many computers as you need.

The official IBM Big Data Engineer blueprint is organized into 5 domains. The leading areas are:

  • Data Governance, Security and Administration — 22% of the exam
  • Data Transformation and Analytics — 24% of the exam
  • Hadoop Distributed Processing — 28% of the exam

For the complete domain-by-domain breakdown with every subtopic, see the Exam Topics outline above.

IBM Big Data Engineer Sample Questions:

Question #1

Which of the following techniques is NOT employed by Big SQL to improve performance?

  • A. Load data into DB2 and return the data
  • B. Compression efficiency
  • C. Predicate Push down
  • D. Query Optimization
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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Question #2

Which component of BigInsights is able to mask data items so as restrict viewing of sensitive data?

  • A. Oozie
  • B. HDFS
  • C. Big SQL
  • D. Flume
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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Question #3

What should you use to run Big SQL queries that require dynamic variables or scheduling?

  • A. JSqsh
  • B. BigInsights Applications
  • C. Eclipse
  • D. BigInsights Console
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Explanation: Only visible for Prep4SureReview members. You can sign-up / login (it's free).

Question #4

Which one of the following statements is TRUE?

  • A. To use Spark with Hive, HiveQL queries have to rewritten in Scala
  • B. Spark SQL allows relational queries expressed in SQL, HiveQL, or Scala
  • C. Spark SQL does not support HiveQL
  • D. Spark SQL does not support ANSI SQL
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Explanation: Only visible for Prep4SureReview members. You can sign-up / login (it's free).

Question #5

Which BigInsights tool is able to export data from Big SQL?

  • A. Knox
  • B. Ambari
  • C. BigSheets
  • D. Flume
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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