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AWS BDS-C00 Exam Guide 2026 – Big Data Specialty

AWS Certified Big Data – Specialty (BDS-C00) certification validates your ability to design, implement, secure, and analyze big data solutions using AWS services. This 2026 guide outlines exam structure, skills measured, and preparation tips.


What Is BDS-C00?

BDS-C00 focuses on big data architecture, ingestion, storage, processing, analytics, visualization, and security using AWS-native services.

  • Exam code: BDS-C00
  • Duration: ~170 minutes
  • Question types: Multiple-choice, multiple-response, scenario-based
  • Difficulty: Advanced
  • Prerequisites: Experience with AWS data & analytics services

BDS-C00 Skills Measured (Latest Blueprint)

1. Collection (15–20%)

  • Design data ingestion solutions
  • Use Amazon Kinesis, IoT, and streaming sources
  • Implement batch and real-time ingestion

2. Storage (15–20%)

  • Select appropriate data storage solutions
  • Use Amazon S3, DynamoDB, Redshift, and Glacier
  • Optimize data lifecycle and cost

3. Processing (20–25%)

  • Process data using EMR, Glue, and Lambda
  • Choose appropriate processing frameworks
  • Optimize performance and scalability

4. Analysis & Visualization (20–25%)

  • Analyze data with Athena and Redshift
  • Create dashboards using Amazon QuickSight
  • Enable ad-hoc and operational analytics

5. Security (10–15%)

  • Secure data at rest and in transit
  • Apply IAM, encryption, and compliance controls
  • Implement auditing and monitoring

Key BDS-C00 Concepts Explained

Kinesis vs SQS

  • Kinesis: Real-time streaming data processing
  • SQS: Message queuing for decoupled systems

EMR vs Glue

EMR provides flexible big data processing with open-source frameworks, while AWS Glue is a serverless ETL service with automated schema discovery.


Sample BDS-C00 Questions with Explanation

Question 1: Which AWS service is primarily used for real-time data streaming and ingestion?

  • A. Amazon S3
  • B. Amazon Kinesis Data Streams ✅
  • C. Amazon Redshift
  • D. AWS Glue

Explanation: Amazon Kinesis Data Streams enables real-time ingestion and processing of streaming data at scale.

Question 2: Which AWS service is best suited for storing large volumes of unstructured big data at low cost?

  • A. Amazon RDS
  • B. Amazon DynamoDB
  • C. Amazon S3 ✅
  • D. Amazon ElastiCache

Explanation: Amazon S3 provides highly durable, scalable, and cost-effective storage for big data and data lakes.

Question 3: Which AWS service is commonly used to run Apache Spark jobs for big data analytics?

  • A. AWS Lambda
  • B. Amazon EMR ✅
  • C. Amazon Athena
  • D. Amazon Redshift

Explanation: Amazon EMR is a managed big data platform that supports Apache Spark, Hadoop, and other frameworks.

Question 4: Which AWS service is used for fully managed data warehousing and analytical queries?

  • A. Amazon Aurora
  • B. Amazon Athena
  • C. Amazon Redshift ✅
  • D. AWS Glue

Explanation: Amazon Redshift is a fully managed data warehouse optimized for large-scale analytics.

Question 5: Which AWS service is used to catalog, transform, and prepare data for analytics?

  • A. Amazon Kinesis
  • B. Amazon Redshift Spectrum
  • C. AWS Glue ✅
  • D. Amazon QuickSight

Explanation: AWS Glue is a serverless data integration service used for data discovery, ETL, and metadata management.

Download/Practice full AWS-BDS-C00 exam questions..


How to Prepare for BDS-C00

  1. Understand AWS big data architecture patterns
  2. Practice ETL and streaming scenarios
  3. Learn EMR, Glue, Athena, and Redshift deeply
  4. Attempt BDS-C00 mock exams
  5. Review AWS Big Data whitepapers

Why Prepare BDS-C00 with ClearCatNet

  • ✅ Updated BDS-C00 exam content (2026)
  • ✅ Real-world big data scenarios
  • ✅ Clear explanations and diagrams
  • ✅ Trusted by AWS data professionals

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AWS BDS-C00 Exam Dumps FAQs

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.

The AWS Certified Big Data – Specialty (BDS-C00) certification exam is intended for individuals with at least 5 years of experience in data analytics and a strong understanding of AWS services related to big data. Candidates should also possess proficiency in data collection, storage, processing, and analysis, along with hands-on experience using AWS tools.

Clearcatnet are always keep prep exam material up-to-date by considering the all freqent changes in exam skills measured and provide immense view of questions & answers along with explnataions note and reference links for the same to clear any doubt/clarifications about particualr questions or topic. In a such way, we make you confident for a best preparations & practices so that you can prepare fully and ready to take your exam to ensure your success in FIRST ATTEMPT ONLY!

  • Number of Questions: 65 questions
  • Question Types: Multiple choice and multiple response questions
  • Duration: 170 minutes
  • Passing Score: Minimum passing score of 750 (scaled score ranges from 100 to 1,000)
  • Delivery Method: Available in-person at a testing center or online via a proctored environment

The passing score for the AWS Certified Big Data – Specialty (BDS-C00) certification exam is a minimum of 750. The scoring is scaled, with scores ranging from 100 to 1,000.

The AWS Certified Big Data – Specialty (BDS-C00) certification is valid for three years. To maintain the certification, you must recertify by taking a current exam before it expires. Recertifying demonstrates that you have the latest AWS knowledge, skills, and best practices.

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The AWS BDS-C00 Certified Big Data – Specialty Certification exam measures your ability to accomplish the following technical tasks:

  • Data Collection
  • Data Storage
  • Data Processing
  • Data Analysis
  • Data Visualization
  • Data Security
  • Data Lifecycle Management

The AWS Certified Big Data – Specialty (BDS-C00) certification is considered challenging due to its broad scope, covering advanced topics in data ingestion, storage, processing, and analysis. Candidates need at least 5 years of experience in data analytics and familiarity with AWS services to succeed. Adequate hands-on practice and a solid understanding of big data concepts are essential for passing the exam.

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