Exam Objectives:
The IBM C2090-101 exam, also known as the IBM Big Data Engineer exam, is designed to test a candidate's knowledge and skills in working with IBM Big Data technologies. The exam covers a wide range of topics, including:
- Big Data concepts and terminology
- IBM Big Data Platform architecture and components
- Data ingestion and integration
- Data storage and processing
- Data analysis and visualization
- Data security and governance
- Performance tuning and optimization
- Big Data application development
These topics are covered in the exam to ensure that the candidate has a comprehensive understanding of IBM Big Data technologies and can apply that knowledge in real-world scenarios.
Exam Details:
The IBM C2090-101 exam is a computer-based test that can be taken at any Pearson VUE testing center. The cost of the exam varies by region, but it typically ranges from $200 to $300 USD. The passing mark for the exam is 60%, and candidates have 90 minutes to complete the exam.
The exam consists of 60 multiple-choice questions, and the format is designed to test a candidate's ability to apply their knowledge in practical scenarios. The questions are randomly selected from a pool of questions, so no two exams are exactly the same.
The delivery method of the exam is through an online proctor. The exam is timed, and the candidate is monitored by a proctor to ensure that there is no cheating or other unauthorized activities during the exam.
Related Books:
There are several books that can help a candidate prepare for the IBM C2090-101 exam. These books include:
- "IBM Big Data Engineer Certification Guide" by Tom Coffing and Paul Zikopoulos
- "Big Data Analytics with IBM Cognos Business Intelligence" by Anil Maheshwari
- "Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data" by EMC Education Services
- "Big Data For Dummies" by Judith Hurwitz, Alan Nugent, Fern Halper, and Marcia Kaufman
- "Data-Driven: Creating a Data Culture" by Hilary Mason and DJ Patil
These books cover a range of topics related to IBM Big Data technologies and can help a candidate prepare for the exam by providing in-depth explanations and real-world examples.
Overall, passing the IBM C2090-101 exam requires a deep understanding of IBM Big Data technologies and their applications. By studying the exam objectives, practicing with real-world scenarios, and using relevant study materials, candidates can increase their chances of passing the exam and earning the IBM Big Data Engineer certification.