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AWS Database Specialty Exam Syllabus Topics:
SectionObjectivesWorkload-Specific Database Design - 26%
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 dataDetermine 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 deploymentsDesign 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 requirementsCompare 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
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 DMS, native database tools)
- Prepare data sources and targets
- Determine schema conversion methods (e.g., AWS Schema Conversion Tool)
- Determine heterogeneous vs. homogeneous migration strategiesExecute 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 upgradesDetermine 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) requirementsManage 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
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 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 possibleOptimize 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 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 LogsDetermine 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)
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Amazon AWS Certified Database - Specialty (DBS-C01) Exam Sample Questions (Q16-Q21):
NEW QUESTION # 16
The Development team recently executed a database script containing several data definition language (DDL) and data manipulation language (DML) statements on an Amazon Aurora MySQL DB cluster. The release accidentally deleted thousands of rows from an important table and broke some application functionality. This was discovered 4 hours after the release. Upon investigation, a Database Specialist tracked the issue to a DELETE command in the script with an incorrect WHERE clause filtering the wrong set of rows.
The Aurora DB cluster has Backtrack enabled with an 8-hour backtrack window. The Database Administrator also took a manual snapshot of the DB cluster before the release started. The database needs to be returned to the correct state as quickly as possible to resume full application functionality. Data loss must be minimal.
How can the Database Specialist accomplish this?
- A. Perform a point-in-time recovery (PITR) of the DB cluster to a time before the release and copy the deleted rows from the restored database to the original database.
- B. Quickly rewind the DB cluster to a point in time before the release using Backtrack.
- C. Create a clone of the DB cluster with Backtrack enabled. Rewind the cloned cluster to a point in time before the release. Copy deleted rows from the clone to the original database.
- D. Restore the DB cluster using the manual backup snapshot created before the release and change the application configuration settings to point to the new DB cluster.
Answer: B
NEW QUESTION # 17
A Database Specialist needs to define a database migration strategy to migrate an on-premises Oracle database to an Amazon Aurora MySQL DB cluster. The company requires near-zero downtime for the data migration. The solution must also be cost-effective.
Which approach should the Database Specialist take?
- A. Use the AWS Schema Conversion Tool (AWS SCT) to help rewrite database objects to MySQL during the schema migration. Use AWS DMS to perform the full load and change data capture (CDC) tasks.
- B. Order an AWS Snowball appliance and copy the Oracle backup to the Snowball appliance. Once the Snowball data is delivered to Amazon S3, create a new Aurora DB cluster. Enable the S3 integration to migrate the data directly from Amazon S3 to Amazon RDS.
- C. Dump all the tables from the Oracle database into an Amazon S3 bucket using datapump (expdp). Run data transformations in AWS Glue. Load the data from the S3 bucket to the Aurora DB cluster.
- D. Use AWS Server Migration Service (AWS SMS) to import the Oracle virtual machine image as an Amazon EC2 instance. Use the Oracle Logical Dump utility to migrate the Oracle data from Amazon EC2 to an Aurora DB cluster.
Answer: A
Explanation:
https://aws.amazon.com/blogs/database/migrating-oracle-databases-with-near-zero-downtime-using-aws-dms/
NEW QUESTION # 18
A company wants to improve its ecommerce website on AWS. A database specialist decides to add Amazon ElastiCache for Redis in the implementation stack to ease the workload off the database and shorten the website response times. The database specialist must also ensure the ecommerce website is highly available within the company's AWS Region.
How should the database specialist deploy ElastiCache to meet this requirement?
- A. Launch an ElastiCache cluster in the primary Availability Zone and restore the cluster's snapshot to a different Availability Zone during disaster recovery.
- B. Launch an ElastiCache for Redis cluster using the AWS CLI with the -cluster-enabled switch.
- C. Launch two ElastiCache for Redis clusters in two different Availability Zones. Configure Redis streams to replicate the cache from the primary cluster to another.
- D. Launch an ElastiCache for Redis cluster and select read replicas in different Availability Zones.
Answer: D
Explanation:
https://docs.aws.amazon.com/AmazonElastiCache/latest/red-ug/AutoFailover.html You can enable Multi-AZ only on Redis (cluster mode disabled) clusters that have at least one available read replica. Clusters without read replicas do not provide high availability or fault tolerance.
NEW QUESTION # 19
A Database Specialist needs to define a database migration strategy to migrate an on-premises Oracle database to an Amazon Aurora MySQL DB cluster. The company requires near-zero downtime for the data migration.
The solution must also be cost-effective.
Which approach should the Database Specialist take?
- A. Use the AWS Schema Conversion Tool (AWS SCT) to help rewrite database objects to MySQL during the schema migration. Use AWS DMS to perform the full load and change data capture (CDC) tasks.
- B. Order an AWS Snowball appliance and copy the Oracle backup to the Snowball appliance. Once the Snowball data is delivered to Amazon S3, create a new Aurora DB cluster. Enable the S3 integration to migrate the data directly from Amazon S3 to Amazon RDS.
- C. Dump all the tables from the Oracle database into an Amazon S3 bucket using datapump (expdp). Run data transformations in AWS Glue. Load the data from the S3 bucket to the Aurora DB cluster.
- D. Use AWS Server Migration Service (AWS SMS) to import the Oracle virtual machine image as an Amazon EC2 instance. Use the Oracle Logical Dump utility to migrate the Oracle data from Amazon EC2 to an Aurora DB cluster.
Answer: A
Explanation:
Explanation
https://aws.amazon.com/blogs/database/migrating-oracle-databases-with-near-zero-downtime-using-aws-dms/
NEW QUESTION # 20
A gaming company has recently acquired a successful iOS game, which is particularly popular during the holiday season. The company has decided to add a leaderboard to the game that uses Amazon DynamoDB.
The application load is expected to ramp up over the holiday season.
Which solution will meet these requirements at the lowest cost?
- A. DynamoDB with DynamoDB Accelerator
- B. DynamoDB with on-demand capacity mode
- C. DynamoDB with provisioned capacity mode with Auto Scaling
- D. DynamoDB Streams
Answer: B
NEW QUESTION # 21
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