Exam Name: AWS Certified Big Data – Specialty
Exam Code: BDS-C00
Related Certification(s): Amazon Specialty Certification
Certification Provider: Amazon
Actual Exam Duration: 170 Minutes
Number of BDS-C00 Practice Questions: 264 (updated: )
Topic 1: Collection
The collection topic equips AWS Big Data Analysts with the skills to determine operational characteristics of collection systems. It addresses frequency of data changes, type of ingested data, and key properties like order, data structure, and metadata. This topic also evaluates durability and availability characteristics, preparing analysts to enforce data consistency and resilience during data ingestion.
Topic 2: Storage
It focuses on enabling AWS Big Data Analysts to optimize operational characteristics of storage solutions. It includes determining data access and retrieval patterns, catalog entry mechanisms, and appropriate data structures and storage formats. This topic ensures analysts can design robust, scalable, and efficient data storage architectures tailored to various workloads.
Topic 3: Processing
The topic trains AWS Big Data Analysts to select the most suitable data processing technologies for specific scenarios. It emphasizes designing and architecting data processing solutions, assessing operational characteristics, and ensuring system performance and reliability. Mastery of this topic ensures readiness for processing diverse and complex datasets.
Topic 4: Analysis
The topic prepares AWS Big Data Analysts to choose the right tools and techniques for deriving insights. Analysts learn to design and architect analytical solutions while optimizing operational characteristics. This topic emphasizes deriving actionable intelligence from big data, ensuring impactful decision-making.
Topic 5: Data Security
In this topic, AWS Big Data Analysts develop expertise in encryption requirements, data governance technologies, and maintaining data integrity. Regulatory requirements and compliance mechanisms are also evaluated, ensuring analysts implement secure, compliant, and trustworthy data solutions.