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AWS Certified Database – Specialty (DBS-C01)

This AWS Certified Database – Specialty training is an instructor-led certification program curated by experts to make you a certified AWS professional.

What will i learn?
  • Understand different database types and use cases including data stored and access patterns
  • Perform workload-specific database design
  • Automate database solution deployments
  • Determine data preparation and migration strategies
  • Migrating from on premises to the cloud
  • Designing database test environments
  • Execute and validate data migration
  • Determine maintenance tasks and procedures
  • Troubleshoot and resolve common database issues
  • Optimize database performance
  • Recognize potential security vulnerabilities within database solutions
  • Managing constraints of time, cost, security and complexity when designing and implementing a database solution
Description

The AWS Certified Database Specialty ( DBS-C01 ) Training is intended for individuals who perform in a database-focused role. This exam validates an examinee’s comprehensive understanding of databases, including the concepts of design, migration, deployment, access, maintenance, automation, monitoring, security, and troubleshooting.

This course of BIT helps you understand the evolving landscape of databases and what AWS services are available to use those databases. It also serves as an overview of the different skills and responsibilities a database specialist needs to know. You’ll then be guided through several courses that go deeper into specific AWS database services to gain an in-depth understanding of when and how to best use each service. This knowledge is valuable for both real-life design and implementation as well as preparing to take the AWS Database Specialty Exam.

  • Exam: AWS Certified Database – Specialty (DBS-C01)
Requirements
  • Experience working in an AWS account. Basic understanding and Knowledge of databases. Experience and expertise working with on-premises and AWS-Cloud-based relational and nonrelational databases.
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