AWS Certified Database Specialty Boot Camp

AWS Certified Database Specialty Boot Camp

Master Database Management with AWS Certification

Course Overview

Our AWS Certified Database Specialty Boot Camp is structured to help you master the essentials of database management on the AWS platform. Here’s what you can expect:

• In-Depth Database Concepts: Dive deep into the foundational concepts of database management, understanding both relational and non-relational databases.
• Comprehensive AWS Database Services: Explore AWS database services like Amazon RDS, Amazon DynamoDB, Amazon Aurora, and more. Learn about the architecture, configuration, and management of these services.
• Scalable and Secure Database Design: Develop the expertise to design, implement, and manage scalable, high-performance, and secure databases on AWS, catering to various business needs.
• Interactive Hands-On Workshops: Participate in practical workshops where you can apply your learning to real-world scenarios, ensuring you gain hands-on experience with AWS databases.

Syllabus

• Domain 1: Workload-Specific Database Design (26% of scored content)
• Domain 2: Deployment and Migration (20% of scored content)
• Domain 3: Management and Operations (18% of scored content)
• Domain 4: Monitoring and Troubleshooting (18% of scored content)
• Domain 5: Database Security (18% of scored content)

Domain 1: Workload-Specific Database Design

Task Statement 1.1: Select appropriate database services for specific types of data and workloads.

• Differentiate between workloads in ACID and BASE.
• Explain the appropriate uses for relational, time series, document, key-value, in-memory, graph, and ledger databases, among other database types.
• Ascertain the uses for data that are both transient and permanent.

Task Statement 1.2: Determine strategies for disaster recovery and high availability.

• Select Region and Availability Zone placement to optimize database performance.
• Determine implications of Regions and Availability Zones on disaster recovery and high availability strategies.
• Differentiate use cases for read replicas and Multi-AZ deployments.

Task Statement 1.3: Design database solutions for performance, compliance, and scalability.

• Suggest serverless database architecture as opposed to instance-based database architecture.
• Assess the prerequisites for expanding read replicas.
• Describe database caching techniques.
• Analyze the effects of indexing, sharding, and partitioning.
• Identify suitable instance types and storage alternatives.
• Assess the ability of relational and NoSQL databases to scale automatically.
• Identify the consequences of the adaptive capacity of Amazon DynamoDB.
• Assess the localization of data in accordance with compliance mandates.

Task Statement 1.4: Compare the costs of database solutions.

• Assess the financial consequences of DynamoDB capacity units, taking into account the difference between planned and on-demand capacity.
• Find out how much instance types and automatic scaling will cost.
• High availability, backups, multi-region, multi-AZ, and storage type options should all be considered while designing for costs.
• Assess the costs of data access.

Domain 2: Deployment and Migration

Task Statement 2.1: Automate database solution deployments.

• Assess the needs of the application to decide which components to install.
• Select suitable deployment resources and tools (such as AWS CloudFormation and AWS CLI).

Task Statement 2.2: Determine data preparation and migration strategies.

• Choose a data migration technique (such as snapshots, replication, or restore).
• Assess database migration services and tools (such as native database tools and the AWS Database Migration Service [AWS DMS]).
• Set up targets and data sources.
• Choose techniques for converting schemas, such as the AWS Schema Conversion Tool (AWS SCT).
• Identify migration tactics that are heterogeneous as opposed to homogeneous.

Task Statement 2.3: Perform and validate data migration.

• Plan and execute data migration scripts.
• Execute scripts for data migration and extraction.
• Confirm that the data load was successful.

Domain 3: Management and Operations

Task Statement 3.1: Determine maintenance tasks and processes.

• Consider the shared responsibility paradigm for database services offered by AWS.
• Identify suitable strategies for the maintenance window.
• Make a distinction between significant and minor engine changes.

Task Statement 3.2: Determine backup and restore strategies.

• Determine whether manual and automatic backups and snapshots are necessary.
• Differentiate backup and restore strategies (e.g., encrypted backups between regions, point-in-time backups, and full backups).
• Establish retention guidelines.
• Connect the recovery point objective (RPO) with the backup and restore.
• requirements for the recovery time target (RTO).

Task Statement 3.3: Manage the operational environment of a database solution.

•  Manage the repurposing of lower environments.
• Apply configuration modifications (as in Amazon RDS option groups, for instance).
• and parameter groups (or modifications to DynamoDB indexing).
  Automate work-related duties.  Act on reports from AWS Trusted Advisors requirements for the recovery time target (RTO).

Domain 4: Monitoring and Troubleshooting

Task Statement 4.1: Determine monitoring and alerting strategies.

• Assess observation instruments (like Amazon RDS and CloudWatch, for instance).
• Native database insights and performance.
• Establish suitable parameters and thresholds for alert circumstances.
  Employ instruments to alert users when thresholds are exceeded (e.g., Amazon).
• Amazon Simple Queue Service and Amazon Simple Notification Service
• [Amazon SQS], dashboards from CloudWatch).

  Task Statement 4.2: Troubleshoot and resolve common database issues.

• Determine, assess, and address various failure categories (e.g.,Diagnose and fix issues with storage, partitioning, and connection.
• Automate answers wherever it’s feasible.

Task Statement 4.3: Optimize database performance.

• Investigate problems with database performance.
• Determine whether AWS services and tools are suitable for optimizing databases.
• Assess the infrastructure, queries, schema design, and setup in order to boost efficiency.

Domain 5: Database Security

Task Statement 5.1: Encrypt data at rest and in transit.

• In NoSQL and relational databases, encrypt data.
• Give databases SSL connectivity.
• Use key management (AWS CloudHSM and AWS Key Management Service [AWS KMS] are two examples).

Task Statement 5.2: Evaluate auditing solutions.

• Establish auditing plans for changes to schema and structure (like DDL).
• Establish auditing procedures for modifications to data (like DML).
• Establish auditing procedures for data access (queries, for instance).
• Establish auditing procedures for changes to the infrastructure (such as AWS CloudTrail).
• Give permission for database logs to be exported to Amazon CloudWatch Logs.

 Task Statement 5.3: Determine access control and authentication mechanisms.

• Suggest implementing authentication controls for roles and users (like IAM, native login information, and Active Directory).
• Suggest authorization controls (such as policies) to users.

Task Statement 5.4: Recognize potential security vulnerabilities within database solutions.

• Establish network ACLs and security group rules for database access.
• Determine the pertinent VPC configurations, such as the perimeter zone, public versus private subnets, and VPC endpoints.
• Determine appropriate storage methods for sensitive data.

Why Choose DreamsPlus in Singapore?

DreamsPlus is dedicated to providing world-class training that meets industry-leading standards. With our experienced trainers, specializing in AWS and database management, you’ll receive the highest quality education. We offer flexible learning options, detailed course materials, and real-world practical experience, making DreamsPlus the perfect choice for those aiming for AWS certification success in Singapore.