AWS Certified Big Data – Specialty (BDS-C00) Exam Dumps
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AWS Certified Big Data - Specialty (BDS-C00) Exam Overview
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 analysis.
Recommended AWS Knowledge
A minimum of 2 years of experience using AWS technology
AWS security best practices
Independently define AWS architecture and services and understand how they integrate with each other.
Define and architect AWS big data services and explain how they fit in the data lifecycle of collection, ingestion, storage, processing, and visualization.
Exam Details
Format: Multiple choice, multiple answer
Type: Specialty
Delivery Method: Testing center
Time: 170 minutes to complete the exam
Cost: 300 USD
Language: Available in English, Japanese, Korean, and Simplified Chinese
Content Outline
Domain 1: Collection
- 1.1 Determine the operational characteristics of the collection system
- 1.2 Select a collection system that handles the frequency of data change and type of data being ingested
- 1.3 Identify the properties that need to be enforced by the collection system: order, data structure,
- metadata, etc.
- 1.4 Explain the durability and availability characteristics for the collection approach
Domain 2: Storage
- 2.1 Determine and optimize the operational characteristics of the storage solution
- 2.2 Determine data access and retrieval patterns
- 2.3 Evaluate mechanisms for capture, update, and retrieval of catalog entries
- 2.4 Determine appropriate data structure and storage format
Domain 3: Processing
- 3.1 Identify the appropriate data processing technology for a given scenario
- 3.2 Determine how to design and architect the data processing solution
- 3.3 Determine the operational characteristics of the solution implemented
Domain 4: Analysis
- 4.1 Determine the tools and techniques required for analysis
- 4.2 Determine how to design and architect the analytical solution
- 4.3 Determine and optimize the operational characteristics of the Analysis
Domain 5: Visualization
- 5.1 Determine the appropriate techniques for delivering the results/output
- 5.2 Determine how to design and create the Visualization platform
- 5.3 Determine and optimize the operational characteristics of the Visualization system
Domain 6: Data Security
- 6.1 Determine encryption requirements and/or implementation technologies
- 6.2 Choose the appropriate technology to enforce data governance
- 6.3 Identify how to ensure data integrity
- 6.4 Evaluate regulatory requirements
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