Certificazione AWS Certified Database – Specialty
Esame AWS Certified Database – Specialty;
The AWS Certified Database – Specialty (DBS-C01) exam is intended for individuals who perform a database-focused role. This exam validates a candidate’s comprehensive understanding of databases, including the concepts of design, migration, deployment, access, maintenance, automation, monitoring, security, and troubleshooting.
The exam also validates a candidate’s ability to complete the following tasks:
- Understand and differentiate the key features of AWS database services
- Analyze needs and requirements to design and recommend appropriate database solutions by using AWS services
Per conseguire la Certificazione AWS Certified Database – Specialty è necessario sostenere con successo il seguente esame:
Corsi di Preparazione:
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SVOLGIMENTO E DURATA
Esame AWS Certified Database – Specialty Durata 180 minuti circa 65 quesiti;
Negli esami sono presenti quesiti formulati in lingua inglese in forme differenti: Risposta Multipla; completamento di testo, collegamenti concettuali Drag and Drop; vere e proprie simulazioni laboratoriali.
Si consiglia la frequentazione dei seguenti corsi:
Esame AWS Certified Database – Specialty – DBS-C01
Domain 1: Workload-Specific Database Design
- Select appropriate database services for specific types of data and workloads.
- Differentiate between ACID vs. 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 vs. 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/high availability strategies
- Differentiate use cases for read replicas and Multi-AZ deployments
- Design database solutions for performance, compliance, and scalability.
- Recommend serverless vs. 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 Amazon DynamoDB capacity units, including on-demand vs. 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
Domain 2: Deployment and Migration
- 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 DMS, native database tools)
- Prepare data sources and targets
- Determine schema conversion methods (e.g., AWS Schema Conversion Tool)
- Determine heterogeneous vs. homogeneous migration strategies
- Execute and validate data migration.
- Design and script data migration
- Run data extraction and migration scripts
- Verify the successful load of data
Domain 3: Management and Operations
- 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/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/parameter groups or Amazon
- DynamoDB indexing changes)
- Automate operational tasks
- Take action based on AWS Trusted Advisor reports
- Domain 4: Monitoring and Troubleshooting
- 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 SNS, Amazon SQS,
- Amazon 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
Domain 5: Database Security
- 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 KMS, AWS CloudHSM)
- Evaluate auditing solutions.
- Determine auditing strategies for structural/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 NACLs for database access
- Identify relevant VPC configurations (e.g., VPC endpoints, public vs. private subnets, demilitarized zone)
- Determine appropriate storage methods for sensitive data