Achieving the AWS Certified Big Data - Specialty certification demonstrates to potential employers that the candidate has the necessary knowledge and skills to work with big data solutions using AWS services. AWS Certified Big Data - Specialty certification is recognized globally and can help professionals advance their careers in the big data field. AWS Certified Big Data - Specialty certification is valid for three years, after which candidates must recertify to maintain their credentials.
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Amazon AWS-Certified-Big-Data-Specialty (AWS Certified Big Data - Specialty) Certification Exam is designed for professionals who want to validate their expertise in designing and implementing Big Data solutions on Amazon Web Services. AWS Certified Big Data - Specialty certification exam tests the candidate's ability to demonstrate a deep understanding of AWS Big Data services and their best practices, as well as their ability to design and implement scalable, cost-effective, and secure Big Data solutions.
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Amazon AWS-Big-Data-Specialty certification is designed to validate a candidate's expertise in designing and implementing AWS services to derive value from data. AWS Certified Big Data - Specialty certification exam is one of the most sought-after credentials for big data professionals and is designed to test a candidate's knowledge of AWS services used for data processing, analysis, and visualization.
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The AWS Certified Big Data - Specialty certification exam consists of 65 multiple-choice and multiple-response questions, and candidates have 170 minutes to complete the exam. BDS-C00 exam is available in English, Japanese, Korean, and Simplified Chinese. Candidates who pass the certification exam will receive an AWS Certified Big Data - Specialty certificate, which is valid for three years. Candidates who do not pass the exam may retake the exam after a waiting period of 14 days.
Amazon BDS-C00 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Processing | 17% | - Data Processing
|
| Topic 2: Storage | 17% | - Storage and Data Management
|
| Topic 3: Collection | 17% | - Data Collection
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| Topic 4: Analysis | 17% | - Data Analysis and Visualization
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| Topic 5: Security | 32% | - Security and Data Governance
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