The Amazon Web Services DVA-C02 Exam Objectives outline the essential skills and knowledge required to excel in the AWS Certified Data Analytics - Specialty certification. This certification demonstrates your expertise in leveraging AWS services for data analysis and allows you to showcase your proficiency in designing, building, and maintaining data analytics solutions on the AWS platform.
AWS DVA-C02 Key Exam Objectives:
Data Collection: Learn how to gather data from various sources, such as databases, streaming data, and third-party applications, to create a comprehensive data repository.
Data Storage: Master the art of storing data efficiently on AWS, exploring various storage options like Amazon S3, Amazon RDS, and more.
Data Processing: Understand how to process, transform, and analyze data using AWS tools like AWS Glue, Amazon Redshift, and Amazon EMR.
Data Visualization: Gain the skills to visualize and communicate insights effectively using AWS services like Amazon QuickSight.
Data Security: Ensure data protection and compliance by implementing robust security measures, encryption, and access control.
Data Analytics and Machine Learning: Learn how to apply analytics and machine learning techniques to uncover valuable insights from your data.
Data Analytics Architectures: Design and implement data analytics architectures that are scalable, fault-tolerant, and cost-effective.
Data Analytics Best Practices: Comprehend best practices for optimizing performance, reducing costs, and ensuring the reliability of data analytics solutions.
AWS Services: Familiarize yourself with various AWS services that play a pivotal role in data analytics, including AWS Lambda, AWS Glue, and Amazon Kinesis.
Real-World Scenarios: Be prepared to apply your knowledge in practical, real-world scenarios