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IBM C2090-101 exam is a multiple-choice exam that is administered online. C2090-101 exam consists of 60 questions and has a time limit of 90 minutes. The passing score for the exam is 60%. C2090-101 exam is designed to be challenging, and professionals are encouraged to study and prepare thoroughly before attempting it.

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IBM C2090-101 exam is based on the IBM Certified Big Data Engineer - Analytics and Platform V3 certification. IBM Big Data Engineer certification focuses on designing and building scalable, secure, and resilient big data solutions using IBM's big data products. IBM Big Data Engineer certification is designed for data engineers, data architects, and developers who want to enhance their skills and become experts in big data technologies.

Reference: https://www.ibm.com/certify/exam?id=C2090-101

IBM C2090-101 Exam Syllabus Topics:

SectionWeightObjectives
Architecture and Integration17%- Implement MapReduce and RDD concepts
- Design cluster architecture and storage layers
- Evaluate use cases for Hive, Big SQL, and HBase
- Integrate GPFS and distributed file systems
- Ensure consistent processing with InfoSphere Streams
Data Security8%- Monitor and secure sensitive data
- Apply data masking and redaction techniques
- Implement access control and LDAP security
- Comply with security standards (PCI, PII protection)
Performance and Scalability15%- Ensure high availability and scalability
- Apply best practices for latency and throughput
- Optimize query execution and workload management
- Tune Hive, HBase, and Big SQL performance
Data Loading34%- Import streaming data using InfoSphere Streams
- Ingest data into HBase and Hive
- Extract data from relational sources using Sqoop
- Load log files with Flume and command-line tools
- Create Big SQL tables and load data into Hadoop
- Load unstructured data into InfoSphere BigInsights
Data Preparation, Transformation, and Export26%- Apply Jaql for data manipulation
- Use Pig for data transformation
- Perform entity resolution and data cleansing
- Create BigSheets workbooks
- Export results from Hadoop environment

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