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AWS Certified Database - Specialty Certification Video Training Course

The complete solution to prepare for for your exam with AWS Certified Database - Specialty certification video training course. The AWS Certified Database - Specialty certification video training course contains a complete set of videos that will provide you with thorough knowledge to understand the key concepts. Top notch prep including Amazon AWS Certified Database - Specialty exam dumps, study guide & practice test questions and answers.

136 Students Enrolled
275 Lectures
16:30:00 Hours

AWS Certified Database - Specialty Certification Video Training Course Exam Curriculum

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1

Introduction

1 Lectures
Time 00:04:00
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2

Quick refresher on the basics

3 Lectures
Time 00:18:00
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3

Amazon RDS and Aurora

76 Lectures
Time 04:45:00
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4

Amazon DynamoDB and DAX

37 Lectures
Time 02:39:00
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5

Amazon Redshift

23 Lectures
Time 01:21:00
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6

Amazon ElastiCache

19 Lectures
Time 00:57:00
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7

Amazon DocumentDB (with MongoDB compatibility)

10 Lectures
Time 00:22:00
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8

Amazon Neptune

17 Lectures
Time 00:59:00
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9

Amazon Elasticsearch Service

6 Lectures
Time 00:12:00
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10

Amazon Timestream

2 Lectures
Time 00:05:00
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11

Amazon QLDB

13 Lectures
Time 00:32:00
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12

Amazon Keyspaces (for Apache Cassandra)

5 Lectures
Time 00:13:00
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13

Comparing AWS Databases

1 Lectures
Time 00:06:00
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14

Database Migration, DMS and SCT

25 Lectures
Time 01:35:00
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15

Monitoring, Logging and Encryption

4 Lectures
Time 00:11:00
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16

CloudFormation and Automation

10 Lectures
Time 00:50:00
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17

VPC - Networking

5 Lectures
Time 00:20:00
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18

Other Topics

5 Lectures
Time 00:22:00
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19

Exam preparation

13 Lectures
Time 00:39:00

Introduction

  • 4:00

Quick refresher on the basics

  • 5:00
  • 6:00
  • 7:00

Amazon RDS and Aurora

  • 4:00
  • 1:00
  • 4:00
  • 4:00
  • 2:00
  • 14:00
  • 3:00
  • 6:00
  • 1:00
  • 3:00
  • 5:00
  • 4:00
  • 2:00
  • 2:00
  • 4:00
  • 2:00
  • 5:00
  • 9:00
  • 1:00
  • 3:00
  • 14:00
  • 1:00
  • 2:00
  • 7:00
  • 1:00
  • 2:00
  • 6:00
  • 6:00
  • 2:00
  • 3:00
  • 4:00
  • 5:00
  • 2:00
  • 2:00
  • 10:00
  • 1:00
  • 1:00
  • 2:00
  • 4:00
  • 8:00
  • 3:00
  • 5:00
  • 2:00
  • 2:00
  • 2:00
  • 3:00
  • 3:00
  • 3:00
  • 4:00
  • 9:00
  • 2:00
  • 2:00
  • 5:00
  • 4:00
  • 4:00
  • 1:00
  • 1:00
  • 3:00
  • 1:00
  • 2:00
  • 4:00
  • 2:00
  • 3:00
  • 3:00
  • 4:00
  • 3:00
  • 6:00
  • 1:00
  • 10:00
  • 6:00
  • 5:00
  • 3:00
  • 5:00
  • 2:00
  • 2:00
  • 3:00

Amazon DynamoDB and DAX

  • 3:00
  • 11:00
  • 7:00
  • 5:00
  • 6:00
  • 4:00
  • 4:00
  • 6:00
  • 4:00
  • 3:00
  • 3:00
  • 4:00
  • 3:00
  • 5:00
  • 6:00
  • 4:00
  • 4:00
  • 4:00
  • 4:00
  • 5:00
  • 3:00
  • 2:00
  • 4:00
  • 6:00
  • 7:00
  • 3:00
  • 2:00
  • 4:00
  • 4:00
  • 3:00
  • 2:00
  • 5:00
  • 1:00
  • 5:00
  • 6:00
  • 6:00
  • 1:00

Amazon Redshift

  • 3:00
  • 9:00
  • 2:00
  • 3:00
  • 7:00
  • 2:00
  • 3:00
  • 8:00
  • 1:00
  • 2:00
  • 9:00
  • 3:00
  • 2:00
  • 2:00
  • 3:00
  • 4:00
  • 2:00
  • 3:00
  • 4:00
  • 3:00
  • 1:00
  • 3:00
  • 2:00

Amazon ElastiCache

  • 5:00
  • 5:00
  • 5:00
  • 2:00
  • 6:00
  • 5:00
  • 3:00
  • 2:00
  • 2:00
  • 3:00
  • 2:00
  • 1:00
  • 2:00
  • 2:00
  • 4:00
  • 2:00
  • 4:00
  • 1:00
  • 1:00

Amazon DocumentDB (with MongoDB compatibility)

  • 2:00
  • 2:00
  • 3:00
  • 2:00
  • 1:00
  • 2:00
  • 1:00
  • 3:00
  • 1:00
  • 5:00

Amazon Neptune

  • 5:00
  • 3:00
  • 13:00
  • 2:00
  • 14:00
  • 1:00
  • 5:00
  • 2:00
  • 2:00
  • 2:00
  • 2:00
  • 1:00
  • 1:00
  • 2:00
  • 1:00
  • 2:00
  • 1:00

Amazon Elasticsearch Service

  • 3:00
  • 2:00
  • 1:00
  • 1:00
  • 1:00
  • 4:00

Amazon Timestream

  • 4:00
  • 1:00

Amazon QLDB

  • 2:00
  • 3:00
  • 2:00
  • 2:00
  • 2:00
  • 12:00
  • 3:00
  • 1:00
  • 1:00
  • 1:00
  • 1:00
  • 1:00
  • 1:00

Amazon Keyspaces (for Apache Cassandra)

  • 3:00
  • 1:00
  • 1:00
  • 3:00
  • 5:00

Comparing AWS Databases

  • 6:00

Database Migration, DMS and SCT

  • 5:00
  • 2:00
  • 4:00
  • 12:00
  • 3:00
  • 1:00
  • 2:00
  • 1:00
  • 1:00
  • 5:00
  • 5:00
  • 3:00
  • 2:00
  • 2:00
  • 3:00
  • 5:00
  • 1:00
  • 1:00
  • 6:00
  • 2:00
  • 8:00
  • 6:00
  • 4:00
  • 7:00
  • 4:00

Monitoring, Logging and Encryption

  • 3:00
  • 5:00
  • 1:00
  • 2:00

CloudFormation and Automation

  • 7:00
  • 6:00
  • 8:00
  • 4:00
  • 6:00
  • 5:00
  • 3:00
  • 3:00
  • 2:00
  • 6:00

VPC - Networking

  • 1:00
  • 5:00
  • 5:00
  • 6:00
  • 3:00

Other Topics

  • 4:00
  • 2:00
  • 2:00
  • 2:00
  • 12:00

Exam preparation

  • 2:00
  • 4:00
  • 4:00
  • 3:00
  • 2:00
  • 3:00
  • 2:00
  • 4:00
  • 4:00
  • 5:00
  • 4:00
  • 1:00
  • 1:00
examvideo-11

About AWS Certified Database - Specialty Certification Video Training Course

AWS Certified Database - Specialty certification video training course by prepaway along with practice test questions and answers, study guide and exam dumps provides the ultimate training package to help you pass.

AWS Database Specialty Certification Preparation Course

Course Overview

The AWS Certified Database – Specialty (DBS-C01) certification is designed for individuals who have expertise in databases and wish to demonstrate their knowledge of AWS database services. This course provides comprehensive training focused on preparing learners for the certification exam through real-world examples, conceptual explanations, and hands-on guidance.

This training is structured in a way that allows learners to understand AWS database concepts from the ground up. Whether you’re currently working with databases or aiming to transition into a role that does, this course is the right starting point for mastering the necessary knowledge.

The Purpose of This Course

The primary objective of this course is to help learners gain an in-depth understanding of AWS-managed databases. It emphasizes the design, migration, deployment, access, maintenance, monitoring, automation, and troubleshooting of AWS database services.

This course also aims to provide clarity around use cases and performance optimization techniques that professionals are likely to encounter in enterprise scenarios. By the end of this course, you will be confident in handling real-world AWS database deployments and solutions.

Exam Alignment and Certification Focus

The training is specifically aligned with the DBS-C01 certification, focusing on the five core domains of the exam. Each module is crafted to help learners gain a command over the topics that the exam expects you to master. Throughout the course, you’ll explore key topics that not only help in exam preparation but also enable you to apply these concepts in practical settings.

Real-World Examples

Throughout this course, learners will see the implementation of concepts via real-world examples. This includes use cases for database migrations, performance tuning for workloads, and troubleshooting replication issues. This practical approach makes the course valuable beyond just certification preparation.

Hands-On Training Emphasis

A strong emphasis is placed on hands-on experience. You'll get familiar with tools such as the AWS Management Console, AWS CLI, CloudFormation, and RDS dashboard operations. Practice labs are embedded in every module to encourage experiential learning.

Modules Structure

Each module is structured around a specific theme or AWS service area. You’ll explore not just what the service does, but why and when it should be used. This structure enables you to build competency in designing secure, performant, and cost-effective database solutions.

Course Duration and Study Flow

The full course is divided into two comprehensive parts. Each part includes roughly 3000 words of instruction. You can study at your own pace, revisiting any module as needed. Regular revision checkpoints are built in to assess your understanding and progress.

Core Learning Objectives

The course is outcome-driven. By completing it, you should be able to select the appropriate AWS database service for a specific workload, design secure and scalable solutions, and monitor and optimize database performance.

Certification Exam Insights

The AWS DBS-C01 certification exam tests not just knowledge, but your ability to apply it. Expect scenario-based questions that require both technical understanding and real-world problem-solving. This course is designed to prepare you for such challenges.

Introduction to AWS Database Services

This section introduces you to the database services offered by AWS. AWS supports both relational and non-relational databases. Services include Amazon RDS, DynamoDB, Redshift, Aurora, DocumentDB, and more.

What Makes AWS Databases Unique

AWS provides managed services, removing the operational overhead of managing the underlying infrastructure. This allows engineers to focus more on application logic and performance tuning rather than system maintenance.

Understanding Relational Databases in AWS

Relational databases are core to many applications. Services like Amazon RDS and Aurora support popular engines such as MySQL, PostgreSQL, SQL Server, and Oracle. You will learn how these services differ in performance, availability, and scaling.

Non-Relational Databases on AWS

NoSQL databases are gaining popularity due to their flexibility and performance in certain use cases. Amazon DynamoDB and DocumentDB are the main services discussed. You’ll explore use cases such as high-throughput applications and flexible schema designs.

Introduction to Amazon RDS

Amazon RDS is a managed relational database service. This module provides insights into how RDS automates tasks like provisioning, backups, patching, and monitoring. You’ll also learn about Multi-AZ deployments and read replicas.

Amazon Aurora Deep Dive

Aurora is a high-performance, MySQL- and PostgreSQL-compatible database engine. It offers better performance than standard RDS engines and includes features like Aurora Serverless. We’ll explore how Aurora’s architecture delivers reliability and speed.

Exploring Amazon DynamoDB

DynamoDB is AWS's key-value and document database known for its speed and scalability. In this module, you'll learn about table design, global secondary indexes, partition keys, and throughput optimization.

Amazon Redshift for Data Warehousing

Amazon Redshift is a fast, scalable data warehouse solution. This module focuses on how to integrate Redshift into data analytics pipelines. You'll also cover spectrum queries, compression, sort keys, and cluster management.

Amazon DocumentDB Explained

DocumentDB is designed to work with MongoDB workloads. This module explains how developers can use DocumentDB for document-based data with the benefits of AWS managed services.

Database Migration Using DMS

Database Migration Service (DMS) is used to migrate databases to AWS. You’ll learn about homogeneous and heterogeneous migrations, replication instances, and schema conversion tools.

Backup and Recovery Strategies

High availability is critical. This module explores backup, point-in-time recovery, snapshots, and cross-region replication for disaster recovery strategies.

Monitoring and Logging in AWS Databases

You’ll learn how to monitor performance and health using Amazon CloudWatch, Enhanced Monitoring, and Performance Insights. Understanding these tools is critical for real-time alerting and trend analysis.

Security and Compliance

Security is a major concern in cloud environments. This module covers IAM policies, encryption at rest and in transit, parameter groups, security groups, and compliance standards supported by AWS database services.

Performance Optimization Techniques

Tuning queries, managing indexes, and selecting the right storage engines can significantly impact database performance. This module dives into the optimization techniques you’ll need in real-world systems.

Automation Using AWS Tools

Automating routine tasks helps ensure consistency and saves time. You’ll learn to use AWS CloudFormation, AWS Lambda, and Systems Manager to automate database provisioning and configuration.

Troubleshooting and Maintenance

This module equips you with skills to diagnose performance issues, replication lag, connection timeouts, and slow queries. It also emphasizes routine maintenance tasks for long-term health.

Real-World Scenarios and Solutions

Throughout the training, real-world architectural patterns are discussed. You’ll explore multi-region setups, hybrid cloud databases, and caching strategies using Amazon ElastiCache.

Preparing for the Exam

Preparation includes not just study, but practice. You’ll learn how to review AWS whitepapers, take mock tests, and approach scenario-based questions effectively.

Review and Revision Techniques

Each module concludes with a review section to reinforce learning. You’ll also be provided with scenario walkthroughs and sample questions similar to those on the actual exam.

Course Requirements

Technical Prerequisites

Before beginning this course, it's essential to have a solid understanding of database fundamentals. Familiarity with relational and non-relational databases will allow you to grasp AWS service implementations more easily. Basic knowledge of Structured Query Language (SQL) and query design is expected. Some understanding of scripting or programming using Python, Java, or another language will be helpful when interacting with AWS SDKs or automation scripts.

AWS Platform Familiarity

While this is a database-focused course, AWS-specific knowledge is required to follow the training. You should already understand basic AWS concepts such as Identity and Access Management (IAM), EC2, S3, networking, and billing models. These concepts are integrated into database design and management on AWS, so prior exposure is critical to keep up with the training pace.

Access to AWS Free Tier

You’ll need access to an AWS Free Tier account or a sandbox environment to follow along with the hands-on practice. This course emphasizes practical training, and hands-on experimentation is a core part of the learning process. Access to the AWS Console and CLI will be used in multiple exercises.

Recommended Prior Certifications

While not mandatory, it is highly recommended that learners have already obtained the AWS Certified Cloud Practitioner or the AWS Solutions Architect – Associate certification. These certifications cover foundational knowledge that will be built upon in this course. Learners who have not earned them may still succeed with extra effort and independent study.

Time Commitment

The course requires a time investment for both learning and practice. Expect to dedicate several hours each week over a 4 to 6-week period to complete the materials, lab exercises, and mock tests. Consistency is important to build retention and confidence for the certification exam.

Course Description

What This Course Covers

This course is built around the five domains outlined in the official AWS Database Specialty certification blueprint. Each domain is covered in detail to help you understand AWS database services from both theoretical and practical perspectives. These domains include database design, deployment, migration, management, monitoring, and troubleshooting. The course emphasizes core AWS services such as Amazon RDS, Aurora, DynamoDB, Redshift, DocumentDB, and DMS.

How the Course is Delivered

The course is delivered through a combination of written instruction, visual diagrams, architecture walkthroughs, and hands-on labs. You’ll encounter scenario-based exercises and real-world challenges that simulate enterprise-level database operations. Video lessons may accompany some modules if you are using a learning platform. However, this standalone training text is comprehensive enough to prepare you for the certification exam on its own.

Learning Outcomes

By the end of this course, you will be able to choose the appropriate AWS database service for a given workload based on technical requirements such as performance, availability, scalability, and cost. You will also be capable of designing secure and reliable database architectures that comply with AWS best practices. In addition, you'll understand how to monitor and troubleshoot performance issues, configure replication and failover, and automate database operations using AWS tools.

Practical Emphasis

Unlike theoretical courses that only prepare you for multiple-choice questions, this course is highly practical. You’ll learn to deploy production-ready databases, secure them with fine-grained permissions, and scale them based on real-time metrics. Labs are not optional in this course—they are a core requirement to develop confidence and proficiency with the platform.

Exam Preparation Strategy

The course includes guidance on how to approach the certification exam. You will receive tips for managing your time during the exam, eliminating incorrect options, and tackling scenario-based questions. Practice exams with detailed explanations are included in the final modules. These questions are designed to mirror the complexity and structure of the real exam.

AWS Whitepapers and Documentation

Throughout the course, learners are encouraged to study relevant AWS whitepapers and documentation. These resources are frequently cited in exam questions. This course integrates links to the most important documentation pages and gives you summaries of key concepts you’ll find in official AWS resources.

Constantly Updated Content

As AWS services evolve rapidly, this course is reviewed and updated periodically to reflect new features, pricing models, architectural patterns, and best practices. Learners will always be exposed to the most current content so they remain ahead in a fast-moving cloud landscape.

Who This Course Is For

Database Administrators and Engineers

This course is ideal for database administrators seeking to move into cloud database management or validate their AWS skills. Traditional DBAs will learn how to extend their expertise to managed services and cloud-native design.

Cloud Architects

For cloud architects, this course provides the specialized knowledge required to design scalable and secure AWS database architectures. The course aligns with architectural best practices and focuses on cost-optimization, performance tuning, and high availability.

Developers and Application Engineers

Software engineers who build data-driven applications will find this course useful for selecting the right storage solutions and integrating with AWS databases effectively. This course will help developers understand database internals and design patterns that impact performance and reliability.

Data Engineers and Analysts

Data professionals who work with analytics platforms or data lakes will benefit from modules focused on Amazon Redshift and data migration strategies. These learners will gain insights into performance optimization, partitioning, and data modeling on AWS.

System Administrators Moving to the Cloud

IT professionals with a background in system administration who are transitioning to cloud operations can use this course to understand the core aspects of AWS database services and how to manage them without direct access to the underlying infrastructure.

AWS Certified Professionals

If you already hold an AWS Associate-level certification, this Specialty course will help you deepen your skills in a specific technical area. It is a logical next step for individuals seeking career advancement or specialization.

Career Switchers

This course is also suitable for professionals in other technical fields such as networking, security, or DevOps who are looking to specialize in cloud databases. It provides all the foundational and practical knowledge needed to enter the field of cloud database engineering.

Organizations and Teams

Technical teams can use this course as internal training to standardize database knowledge across the organization. It provides a consistent curriculum that can be integrated with corporate learning management systems or team-wide training programs.

Students and Recent Graduates

While the course is advanced, highly motivated students and recent graduates in computer science, IT, or software engineering programs can benefit from the hands-on experience it provides. It can help set them apart in job interviews or internships focused on cloud computing.

Freelancers and Consultants

Independent professionals and consultants who work with clients on AWS implementations will find this course valuable for gaining credibility and offering database expertise. The certification enhances trust and opens up new project opportunities in cloud architecture and migration.

Entrepreneurs and Startups

Startup founders and technical leads building applications on AWS will learn how to architect their data layer effectively from the start. Avoiding common database scaling mistakes and optimizing for cost can make a significant difference to early-stage product success.

Self-Learners and Tech Enthusiasts

Curious individuals with a passion for technology and cloud services who want to understand how modern databases operate in the cloud will find the course rewarding. It’s structured to help learners progress from basic understanding to real-world capability.

Certification-Oriented Learners

If your goal is purely to earn the AWS Database Specialty certification, this course provides everything you need. It covers every exam domain in detail and gives you the tools to pass confidently on your first attempt.

The AWS Database Specialty certification is more than just a badge. It’s a gateway to advanced roles in cloud infrastructure, data engineering, and software architecture. This course was designed to make sure you don’t just pass the exam but emerge with the real skills needed to design, deploy, and manage AWS database solutions at scale.


Prepaway's AWS Certified Database - Specialty video training course for passing certification exams is the only solution which you need.

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