The AWS Certified Big Data–Specialty(BDS-C00) examination is intended for individuals who perform complex Big Data analyses. This exam validates an examinee’s technical skills and experience in designing and implementing AWS services to derive value from data.It validates an examinee’s ability to:- Implement core AWS Big Data services according to basic architectural best practices- Design and maintain Big Data- Leverage tools to automate Data AnalysisResponse TypesThere are two types of questions on the examination:- Multiple-choice:Has one correct response and three or four incorrect responses(distractors).- Multiple-response:Has two or more correct responses out of five or more options. Select one or more responses that best complete the statement or answer the question. Distractors,or incorrect answers,are response options that an examinee with incomplete knowledge or skill would likely choose. However, they are generally plausible responses that fit in the content area defined by the test objective.Unanswered questions are scoredas incorrect; there is no penalty for guessing.Domain 1: Collection1.1Determine the operational characteristics of the collection system1.2Select a collection system that handles the frequency of data change and type of data being ingested1.3Identify the properties that need to be enforced by the collection system: order, data structure, metadata, etc.1.4Explain the durability and availability characteristics for the collection approachDomain 2:Storage2.1Determine and optimize the operational characteristics of the storage solution2.2Determine data access and retrieval patterns 2.3Evaluate mechanisms for capture, update, and retrieval of catalog entries 2.4Determine appropriate data structure and storage formatDomain 3: Processing3.1Identifythe appropriate data processing technology for a given scenario3.2Determine how to design and architect the data processing solution3.3Determine the operational characteristics of the solution implementedDomain 4: Analysis4.1Determine the tools and techniques required for analysis4.2Determine how to design and architect the analytical solution4.3Determine and optimize the operational characteristics of the AnalysisDomain 5: Visualization5.1Determine the appropriate techniques for delivering the results/output5.2Determine how to design and create the Visualization platform5.3Determine and optimize the operational characteristics of the Visualization systemDomain 6: Data Security6.1Determine encryption requirements and/or implementation technologies6.2Choose the appropriate technology to enforce data governance6.3Identify how to ensure data integrity6.4Evaluate regulatory requirements