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.
AWS Certified Database - Specialty Certification Video Training Course Exam Curriculum
Introduction
- 					
																			4:00
1. Purpose Built Databases
 
Quick refresher on the basics
- 					
																			5:00
1. Types of data
 - 					
																			6:00
2. Relational databases
 - 					
																			7:00
3. Non-relational databases
 
Amazon RDS and Aurora
- 					
																			4:00
1. Amazon RDS overview
 - 					
																			1:00
2. RDS pricing model
 - 					
																			4:00
3. Instance type, storage type and storage auto scaling for RDS
 - 					
																			4:00
4. RDS parameter groups
 - 					
																			2:00
5. RDS option groups
 - 					
																			14:00
6. RDS - Hands on
 - 					
																			3:00
7. RDS security - Network
 - 					
																			6:00
8. RDS security - IAM
 - 					
																			1:00
9. Rotating RDS DB credentials
 - 					
																			3:00
10. Windows authentication in RDS for SQL Server
 - 					
																			5:00
11. RDS encryption in transit and at rest
 - 					
																			4:00
12. RDS backups
 - 					
																			2:00
13. Copying and sharing RDS snapshots
 - 					
																			2:00
14. How to encrypt an unencrypted RDS database
 - 					
																			4:00
15. DB restore options in RDS
 - 					
																			2:00
16. Exporting RDS DB snapshot to S3
 - 					
																			5:00
17. RDS backup and restore - Hands on
 - 					
																			9:00
18. RDS Multi-AZ deployments and read replicas
 - 					
																			1:00
19. Read replica use cases
 - 					
																			3:00
20. Promoting a read replica to a standalone DB instance
 - 					
																			14:00
21. RDS Multi-AZ failover and replica promotion - Demo
 - 					
																			1:00
22. Enabling writes on a read replica
 - 					
																			2:00
23. RDS read replica capabilities
 - 					
																			7:00
24. RDS Second-tier replicas and replica promotion - Demo
 - 					
																			1:00
25. Cross-region read replicas in RDS
 - 					
																			2:00
26. RDS replicas with an external database
 - 					
																			6:00
27. RDS disaster recovery strategies
 - 					
																			6:00
28. Troubleshooting replica issues in RDS
 - 					
																			2:00
29. Performance hit on new read replicas
 - 					
																			3:00
30. Scaling and sharding in RDS
 - 					
																			4:00
31. RDS monitoring
 - 					
																			5:00
32. RDS event subscriptions, recommendations and logs
 - 					
																			2:00
33. Exporting RDS logs to S3
 - 					
																			2:00
34. RDS Enhanced Monitoring
 - 					
																			10:00
35. RDS Performance Insights
 - 					
																			1:00
36. CloudWatch Application Insights
 - 					
																			1:00
37. RDS on VMware
 - 					
																			2:00
38. RDS - Good things to know
 - 					
																			4:00
39. Aurora overview
 - 					
																			8:00
40. Aurora architecture
 - 					
																			3:00
41. Aurora Parallel Query
 - 					
																			5:00
42. Aurora Serverless
 - 					
																			2:00
43. Data API for Aurora Serverless
 - 					
																			2:00
44. Aurora multi-master
 - 					
																			2:00
45. Aurora cross region replicas and Aurora Global database
 - 					
																			3:00
46. Reliability features in Aurora
 - 					
																			3:00
47. Aurora pricing model
 - 					
																			3:00
48. Aurora security - Network, IAM and encryption
 - 					
																			4:00
49. Parameter groups in Aurora and Aurora Serverless
 - 					
																			9:00
50. Creating an Aurora database - Hands on
 - 					
																			2:00
51. Creating an Aurora Serverless database - Hands on
 - 					
																			2:00
52. Using Data API with Aurora Serverless database - Hands on
 - 					
																			5:00
53. Scaling options in Aurora
 - 					
																			4:00
54. Aurora monitoring and advanced auditing
 - 					
																			4:00
55. Monitoring in RDS and Aurora - Demo
 - 					
																			1:00
56. Exporting Aurora logs
 - 					
																			1:00
57. Database activity streams in Aurora
 - 					
																			3:00
58. Troubleshooting storage issues in Aurora
 - 					
																			1:00
59. Aurora benchmarking
 - 					
																			2:00
60. Exporting data from Aurora into S3
 - 					
																			4:00
61. Aurora backups and backtracking
 - 					
																			2:00
62. Aurora backups vs snapshots vs backtrack
 - 					
																			3:00
63. Aurora backup, restore, PITR and backtrack - Demo
 - 					
																			3:00
64. Cloning databases in Aurora
 - 					
																			4:00
65. Aurora failovers
 - 					
																			3:00
66. Cluster Cache Management (CCM) in Aurora PostgreSQL
 - 					
																			6:00
67. Simulating fault tolerance or resiliency in Aurora
 - 					
																			1:00
68. Simulating failovers in Aurora - Demo
 - 					
																			10:00
69. Aurora failover priorities in action - Demo
 - 					
																			6:00
70. Fast failover in Aurora PostgreSQL
 - 					
																			5:00
71. Cluster replication options for Aurora MySQL
 - 					
																			3:00
72. Aurora replicas vs RDS MySQL replicas
 - 					
																			5:00
73. Comparison of RDS deployments
 - 					
																			2:00
74. How to invoke Lambda functions from Aurora MySQL
 - 					
																			2:00
75. How to load data from S3 into Aurora MySQL
 - 					
																			3:00
76. RDS / Aurora – Good things to know
 
Amazon DynamoDB and DAX
- 					
																			3:00
1. DynamoDB overview
 - 					
																			11:00
2. Working with DynamoDB - Hands on
 - 					
																			7:00
3. DynamoDB basics
 - 					
																			5:00
4. DynamoDB consistency
 - 					
																			6:00
5. DynamoDB pricing model
 - 					
																			4:00
6. DynamoDB throughput
 - 					
																			4:00
7. Calculating capacity units
 - 					
																			6:00
8. DynamoDB burst capacity and adaptive capacity
 - 					
																			4:00
9. DynamoDB local secondary index (LSI)
 - 					
																			3:00
10. DynamoDB global secondary index (GSI)
 - 					
																			3:00
11. Choosing between LSI and GSI
 - 					
																			4:00
12. Simple design patterns with DynamoDB
 - 					
																			3:00
13. Errors and exceptions in DynamoDB
 - 					
																			5:00
14. DynamoDB partitions
 - 					
																			6:00
15. DynamoDB partition behavior example
 - 					
																			4:00
16. Scaling options in DynamoDB
 - 					
																			4:00
17. DynamoDB scaling and partition behavior
 - 					
																			4:00
18. DynamoDB best practices
 - 					
																			4:00
19. DynamoDB best practices (contd.)
 - 					
																			5:00
20. Large object patterns and table operations
 - 					
																			3:00
21. DynamoDB accelerator (DAX)
 - 					
																			2:00
22. DAX architecture
 - 					
																			4:00
23. DAX operations
 - 					
																			6:00
24. Implementing DAX - Hands on
 - 					
																			7:00
25. DynamoDB backup and restore
 - 					
																			3:00
26. DynamoDb backup and restore - Hands on
 - 					
																			2:00
27. Continuous backup with PITR
 - 					
																			4:00
28. Continuous backup with PITR - Hands on
 - 					
																			4:00
29. DynamoDB encryption
 - 					
																			3:00
30. DynamoDB streams
 - 					
																			2:00
31. DynamoDB TTL
 - 					
																			5:00
32. DynamoDB TTL - Hands on
 - 					
																			1:00
33. TTL use cases
 - 					
																			5:00
34. DynamoDB global tables
 - 					
																			6:00
35. DynamoDB global tables - Hands on
 - 					
																			6:00
36. Fine-grained access control and Web-identity federation in DynamoDB
 - 					
																			1:00
37. CloudWatch contributor insights for DynamoDB
 
Amazon Redshift
- 					
																			3:00
1. Redshift overview
 - 					
																			9:00
2. Creating a Redshift cluster - Hands on
 - 					
																			2:00
3. Redshift architecture
 - 					
																			3:00
4. Loading data into Redshift
 - 					
																			7:00
5. Loading data from S3 into Redshift - Hands on
 - 					
																			2:00
6. More ways to load data into Redshift
 - 					
																			3:00
7. Redshift Spectrum
 - 					
																			8:00
8. Querying S3 data with Redshift Spectrum - Hands on
 - 					
																			1:00
9. Redshift federated query
 - 					
																			2:00
10. Star schema in data warehouses
 - 					
																			9:00
11. Redshift fundamentals
 - 					
																			3:00
12. Redshift Workload Management (WLM)
 - 					
																			2:00
13. Redshift concurrency scaling
 - 					
																			2:00
14. Redshift scaling
 - 					
																			3:00
15. Redshift backup, restore and cross-region snapshots
 - 					
																			4:00
16. Redshift Multi-AZ deployment alternative
 - 					
																			2:00
17. Redshift availability and durability
 - 					
																			3:00
18. Redshift security
 - 					
																			4:00
19. Enhanced VPC routing in Redshift
 - 					
																			3:00
20. Redshift monitoring
 - 					
																			1:00
21. Redshift pricing
 - 					
																			3:00
22. Redshift related services - Athena and Quicksight
 - 					
																			2:00
23. AQUA for Redshift
 
Amazon ElastiCache
- 					
																			5:00
1. ElastiCache overview
 - 					
																			5:00
2. Caching strategies
 - 					
																			5:00
3. Redis architecture and Multi-AZ auto-failover
 - 					
																			2:00
4. Redis backup and restore
 - 					
																			6:00
5. Redis scaling and replication
 - 					
																			5:00
6. Creating a Redis cluster - Hands on
 - 					
																			3:00
7. Redis global datastore
 - 					
																			2:00
8. Redis - Good things to know
 - 					
																			2:00
9. Redis best practices
 - 					
																			3:00
10. Redis use cases
 - 					
																			2:00
11. Memcached overview
 - 					
																			1:00
12. Memcached architecture
 - 					
																			2:00
13. Memcached auto discovery
 - 					
																			2:00
14. Memcached scaling
 - 					
																			4:00
15. Creating a Memcached cluster - Hands on
 - 					
																			2:00
16. Choosing between Redis and Memcached
 - 					
																			4:00
17. ElastiCache security
 - 					
																			1:00
18. ElastiCache logging and monitoring
 - 					
																			1:00
19. ElastiCache pricing
 
Amazon DocumentDB (with MongoDB compatibility)
- 					
																			2:00
1. DocumentDB overview
 - 					
																			2:00
2. What and why about document databases
 - 					
																			3:00
3. DocumentDB architecture
 - 					
																			2:00
4. DocumentDB backup and restore
 - 					
																			1:00
5. DocumentDB scaling
 - 					
																			2:00
6. DocumentDB security
 - 					
																			1:00
7. DocumentDB pricing
 - 					
																			3:00
8. DocumentDB monitoring
 - 					
																			1:00
9. DocumentDB performance management
 - 					
																			5:00
10. Creating a DocumentDB cluster - Hands on
 
Amazon Neptune
- 					
																			5:00
1. Neptune overview
 - 					
																			3:00
2. Neptune architecture
 - 					
																			13:00
3. Creating a Neptune cluster - Hands on
 - 					
																			2:00
4. Bulk loading graph data into Neptune
 - 					
																			14:00
5. Bulk loading graph data into Neptune from S3 - Hands on
 - 					
																			1:00
6. Neptune Workbench
 - 					
																			5:00
7. Querying Neptune via Jupyter Notebooks - Hands on
 - 					
																			2:00
8. Neptune replication and high availability
 - 					
																			2:00
9. Neptune backup and restore
 - 					
																			2:00
10. Database cloning in Neptune
 - 					
																			2:00
11. Neptune security
 - 					
																			1:00
12. Neptune monitoring
 - 					
																			1:00
13. Query queuing in Neptune
 - 					
																			2:00
14. Neptune service errors
 - 					
																			1:00
15. SPARQL federated query
 - 					
																			2:00
16. Neptune streams
 - 					
																			1:00
17. Neptune pricing
 
Amazon Elasticsearch Service
- 					
																			3:00
1. Amazon Elasticsearch Service overview
 - 					
																			2:00
2. ElasticSearch Service patterns
 - 					
																			1:00
3. Elasticsearch Service - Multi-AZ
 - 					
																			1:00
4. Logging options in Elasticsearch Service
 - 					
																			1:00
5. ElasticSearch Service pricing
 - 					
																			4:00
6. ElasticSearch Service - Hands on
 
Amazon Timestream
- 					
																			4:00
1. Timestream overview
 - 					
																			1:00
2. Timestream pricing
 
Amazon QLDB
- 					
																			2:00
1. QLDB overview
 - 					
																			3:00
2. QLDB architecture
 - 					
																			2:00
3. QLDB views
 - 					
																			2:00
4. Working with QLDB
 - 					
																			2:00
5. Data verification in QLDB
 - 					
																			12:00
6. Creating a QLDB ledger - Hands on
 - 					
																			3:00
7. Data verification in QLDB - Hands on
 - 					
																			1:00
8. QLDB backup and restore (an alternative)
 - 					
																			1:00
9. QLDB streams
 - 					
																			1:00
10. QLDB high availability, durability and an alternative to CRR
 - 					
																			1:00
11. QLDB security
 - 					
																			1:00
12. QLDB monitoring
 - 					
																			1:00
13. QLDB pricing
 
Amazon Keyspaces (for Apache Cassandra)
- 					
																			3:00
1. Keyspaces overview
 - 					
																			1:00
2. Migrating from Cassandra to Keyspaces
 - 					
																			1:00
3. Read and write consistency in Keyspaces
 - 					
																			3:00
4. Keyspaces pricing
 - 					
																			5:00
5. Working with Keyspaces - Hands on
 
Comparing AWS Databases
- 					
																			6:00
1. Comparison of AWS Databases
 
Database Migration, DMS and SCT
- 					
																			5:00
1. Database migration overview
 - 					
																			2:00
2. DMS sources and targets
 - 					
																			4:00
3. DMS architecture and overview
 - 					
																			12:00
4. Migration with DMS in action - Hands on
 - 					
																			3:00
5. SCT overview
 - 					
																			1:00
6. Workload Qualification Framework (WQF)
 - 					
																			2:00
7. DMS tasks and task assessment reports
 - 					
																			1:00
8. DMS migration types
 - 					
																			1:00
9. DMS - Good things to know
 - 					
																			5:00
10. Migrating large tables and LOBs with DMS
 - 					
																			5:00
11. DW migration with SCT
 - 					
																			3:00
12. Migration playbooks
 - 					
																			2:00
13. DMS monitoring
 - 					
																			2:00
14. DMS validation
 - 					
																			3:00
15. DMS statistics and control tables
 - 					
																			5:00
16. DMS security - IAM, encryption and networking
 - 					
																			1:00
17. DMS pricing
 - 					
																			1:00
18. DMS general best practices
 - 					
																			6:00
19. DMS migration architectures to minimize downtime
 - 					
																			2:00
20. Migrating large databases
 - 					
																			8:00
21. Migrating to RDS databases
 - 					
																			6:00
22. Migrating to Aurora
 - 					
																			4:00
23. Migrating Redis workloads to ElastiCache
 - 					
																			7:00
24. Migrating to DocumentDB
 - 					
																			4:00
25. Streaming use cases for DMS
 
Monitoring, Logging and Encryption
- 					
																			3:00
1. Encryption and Snapshots
 - 					
																			5:00
2. Database Logging
 - 					
																			1:00
3. Secrets Manager
 - 					
																			2:00
4. Active Directory with RDS Microsoft SQL Server
 
CloudFormation and Automation
- 					
																			7:00
1. CloudFormation Overview
 - 					
																			6:00
2. CloudFormation Create Stack Hands On
 - 					
																			8:00
3. CloudFormation Update and Delete Stack Hands On
 - 					
																			4:00
4. YAML Crash Course
 - 					
																			6:00
5. CloudFormation Resources
 - 					
																			5:00
6. CloudFormation Parameters
 - 					
																			3:00
7. CloudFormation Mappings
 - 					
																			3:00
8. CloudFormation Outputs
 - 					
																			2:00
9. CloudFormation Conditions
 - 					
																			6:00
10. CloudFormation Intrinsic Functions
 
VPC - Networking
- 					
																			1:00
1. VPC Section Structure
 - 					
																			5:00
2. VPC, Subnets, IGW and NAT
 - 					
																			5:00
3. NACL, SG, VPC Flow Logs
 - 					
																			6:00
4. VPC Peering, Endpoints, VPN, DX
 - 					
																			3:00
5. VPC Cheat Sheet & Closing Comments
 
Other Topics
- 					
																			4:00
1. AWS Lambda Architectures
 - 					
																			2:00
2. Server Migration Service
 - 					
																			2:00
3. EBS-optimized instances
 - 					
																			2:00
4. Transferring large amount of data into AWS
 - 					
																			12:00
5. Disaster Recovery
 
Exam preparation
- 					
																			2:00
1. Exam Guide & Sample Questions
 - 					
																			4:00
2. Sample question 1
 - 					
																			4:00
3. Sample question 2
 - 					
																			3:00
4. Sample question 3
 - 					
																			2:00
5. Sample question 4
 - 					
																			3:00
6. Sample question 5
 - 					
																			2:00
7. Sample question 6
 - 					
																			4:00
8. Sample question 7
 - 					
																			4:00
9. Sample question 8
 - 					
																			5:00
10. Sample question 9
 - 					
																			4:00
11. Sample question 10
 - 					
																			1:00
12. Exam Strategy: How to tackle exam questions
 - 					
																			1:00
13. Additional Resources
 
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.
| Free AWS Certified Database - Specialty Exam Questions & Amazon AWS Certified Database - Specialty Dumps | ||
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										 Size: 111.02 KB 
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