AWS-Big-Data-Specialty
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AWS-Big-Data-Specialty Exam
AWS Certified Big Data - Specialty
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The AWS Certified Big Data - Specialty Certification Exam is a challenging exam that requires a thorough understanding of big data concepts and AWS services. Candidates must have experience working with AWS services such as Amazon S3, Amazon Redshift, Amazon EMR, and Amazon Kinesis, as well as experience with programming languages such as Java, Python, and SQL. AWS-Big-Data-Specialty exam consists of 65 multiple choice and multiple response questions, and candidates have 170 minutes to complete the exam.
The AWS-Big-Data-Specialty exam covers a wide range of big data technologies, including data ingestion, storage, processing, and visualization. It also focuses on best practices for data security, compliance, and governance. Passing AWS-Big-Data-Specialty exam requires a solid understanding of AWS services such as Amazon S3, Amazon EMR, Amazon Redshift, Amazon Kinesis, and AWS Glue.
| Topic | Details |
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| Topic 1 | - 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.
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| Topic 2 | - 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.
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| Topic 3 | - 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.
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| Topic 4 | - 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.
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| Topic 5 | - 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.
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