AWS Certified Developer Associate - DVA-C01 Certification

Nux Software Solutions in Coimbatore is the top choice for thorough preparation for the Database – Specialty exam. As a top AWS training provider, our focus is on giving you the necessary skills and knowledge to succeed in the ever-changing realm of cloud computing.

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AWS Certified Database - Specialty

Modules

Workload-Specific Database Design - 26%

Select appropriate database services for specific types of data and workloads.
- Differentiate between ACID and BASE workloads.
- Explain appropriate uses of types of databases (e.g., relational, key-value, document, in-memory, graph, time series, ledger).
- Identify use cases for persisted data compared with ephemeral data.
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.
Design database solutions for performance, compliance, and scalability.
- Recommend serverless compared with instance-based database architecture.
- Evaluate requirements for scaling read replicas.
- Define database caching solutions.
- Evaluate the implications of partitioning, sharding, and indexing.
- Determine appropriate instance types and storage options.
- Determine auto scaling capabilities for relational and NoSQL databases.
- Determine the implications of Amazon DynamoDB adaptive capacity.
- Determine data locality based on compliance requirements.
Compare the costs of database solutions.
- Determine cost implications of DynamoDB capacity units, including on-demand capacity compared with provisioned capacity.
- Determine costs associated with instance types and automatic scaling.
- Design for costs, including high availability, backups, multi-Region, Multi-AZ, and storage type options.
- Compare data access costs.
Deployment and Migration - 20%

Automate database solution deployments.
- Evaluate application requirements to determine components to deploy.
- Choose appropriate deployment tools and services (e.g., AWS CloudFormation, AWS CLI).
Determine data preparation and migration strategies.
- Determine the data migration method (e.g., snapshots, replication, restore).
- Evaluate database migration tools and services (e.g., AWS Database Migration Service [AWS DMS], native database tools).
- Prepare data sources and targets.
- Determine schema conversion methods (e.g., AWS Schema Conversion Tool [AWS SCT]).
- Determine heterogeneous compared with homogeneous migration strategies.
Perform and validate data migration.
- Design and script data migration.
- Run data extraction and migration scripts.
- Verify the successful load of data.
Management and Operations - 18%

Determine maintenance tasks and processes.
- Account for the AWS shared responsibility model for database services.
- Determine appropriate maintenance window strategies.
- Differentiate between major and minor engine upgrades.
Determine backup and restore strategies.
- Identify the need for automatic and manual backups and snapshots.
- Differentiate backup and restore strategies (e.g., full backup, point-in-time, encrypting backups cross-Region).
- Define retention policies.
- Correlate the backup and restore to recovery point objective (RPO) and recovery time objective (RTO) requirements.
Manage the operational environment of a database solution.
- Orchestrate the refresh of lower environments.
- Implement configuration changes (e.g., in Amazon RDS option groups and parameter groups, or DynamoDB indexing changes).
- Automate operational tasks.
- Take action based on AWS Trusted Advisor reports.
Monitoring and Troubleshooting - 18%

Determine monitoring and alerting strategies.
- Evaluate monitoring tools (e.g., Amazon CloudWatch, Amazon RDS Performance Insights, database native).
- Determine appropriate parameters and thresholds for alert conditions.
- Use tools to notify users when thresholds are breached (e.g., Amazon Simple Notification Service [Amazon SNS], Amazon Simple Queue Service [Amazon SQS], CloudWatch dashboards).
Troubleshoot and resolve common database issues.
- Identify, evaluate, and respond to categories of failures (e.g., troubleshoot connectivity; instance, storage, and partitioning issues).
- Automate responses when possible.
Optimize database performance.
- Troubleshoot database performance issues.
- Identify appropriate AWS tools and services for database optimization.
- Evaluate the configuration, schema design, queries, and infrastructure to improve performance.
Database Security - 18%

Encrypt data at rest and in transit.
- Encrypt data in relational and NoSQL databases.
- Apply SSL connectivity to databases.
- Implement key management (e.g., AWS Key Management Service [AWS KMS], AWS CloudHSM).
Evaluate auditing solutions.
- Determine auditing strategies for structural and schema changes (e.g., DDL).
- Determine auditing strategies for data changes (e.g., DML).
- Determine auditing strategies for data access (e.g., queries).
- Determine auditing strategies for infrastructure changes (e.g., AWS CloudTrail).
- Enable the export of database logs to Amazon CloudWatch Logs.
Determine access control and authentication mechanisms.
- Recommend authentication controls for users and roles (e.g., IAM, native credentials, Active Directory).
- Recommend authorization controls for users (e.g., policies).
Recognize potential security vulnerabilities within database solutions.
- Determine security group rules and Network ACLs for database access.
- Identify relevant VPC configurations (e.g., VPC endpoints, public subnets compared with private subnets, perimeter zone).
- Determine appropriate storage methods for sensitive data.