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AWS Certified Database - Specialty Certified Professional salary

The estimated average salary of AWS Certified Database - Specialty is listed below:

• United States: 114,000 USD
• England: 87,200 POUND
• India: 8,580,000 INR
• Europe: 97,000 EURO

AWS Database Specialty Exam Syllabus Topics:

Section	Objectives
Workload-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 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
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 strategies
Execute 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/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
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 possible

Who should take the AWS Certified Database - Specialty

This is for candidates who can answer questions about:

• Understand and differentiate the key features of AWS database services
• Analyze needs and requirements to design and recommend appropriate database solutions using AWS services.

Recommended AWS Knowledge:

• Experience and expertise working with on-premises and AWS Cloud-based relational and NoSQLdatabases
• A minimum of 5 years of experience with common database technologies
• At least 2 years of hands-on experience working on AWS

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Amazon AWS Certified Database - Specialty (DBS-C01) Exam Sample Questions (Q119-Q124):

NEW QUESTION # 119
A company is developing a multi-tier web application hosted on AWS using Amazon Aurora as the database.
The application needs to be deployed to production and other non-production environments. A Database Specialist needs to specify different MasterUsername and MasterUserPassword properties in the AWS CloudFormation templates used for automated deployment. The CloudFormation templates are version controlled in the company's code repository. The company also needs to meet compliance requirement by routinely rotating its database master password for production.
What is most secure solution to store the master password?

• A. Store the master password in a parameter file in each environment. Reference the environment-specific parameter file in the CloudFormation template.
• B. Use the ssm dynamic reference to retrieve the master password stored in the AWS Systems Manager Parameter Store and enable automatic rotation.
• C. Encrypt the master password using an AWS KMS key. Store the encrypted master password in the CloudFormation template.
• D. Use the secretsmanager dynamic reference to retrieve the master password stored in AWS Secrets Manager and enable automatic rotation.

Answer: D Explanation:
Explanation
"By using the secure string support in CloudFormation with dynamic references you can better maintain your infrastructure as code. You'll be able to avoid hard coding passwords into your templates and you can keep these runtime configuration parameters separated from your code. Moreover, when properly used, secure strings will help keep your development and production code as similar as possible, while continuing to make your infrastructure code suitable for continuous deployment pipelines."
https://aws.amazon.com/blogs/mt/using-aws-systems-manager-parameter-store-secure-string-parameters-in-aws-
https://aws.amazon.com/blogs/security/how-to-use-aws-secrets-manager-rotate-credentials-amazon-rds-database
NEW QUESTION # 120
A Database Specialist is migrating an on-premises Microsoft SQL Server application database to Amazon RDS for PostgreSQL using AWS DMS. The application requires minimal downtime when the RDS DB instance goes live.
What change should the Database Specialist make to enable the migration?

• A. Configure the AWS DMS task to generate full logs to allow for ongoing change data capture (CDC)
• B. Configure the AWS DMS connections to allow two-way communication to allow for ongoing change data capture (CDC)
• C. Configure the AWS DMS replication instance to allow both full load and ongoing change data capture (CDC)
• D. Configure the on-premises application database to act as a source for an AWS DMS full load with ongoing change data capture (CDC)

Answer: D Explanation:
Explanation
"requires minimal downtime when the RDS DB instance goes live" in order to do CDC: "you must first ensure that ARCHIVELOG MODE is on to provide information to LogMiner. AWS DMS uses LogMiner to read information from the archive logs so that AWS DMS can capture changes"
https://docs.aws.amazon.com/dms/latest/sbs/chap-oracle2postgresql.steps.configureoracle.html
"If you want to capture and apply changes (CDC), then you also need the following privileges."
NEW QUESTION # 121
The Security team for a finance company was notified of an internal security breach that happened 3 weeks ago. A Database Specialist must start producing audit logs out of the production Amazon Aurora PostgreSQL cluster for the Security team to use for monitoring and alerting. The Security team is required to perform real- time alerting and monitoring outside the Aurora DB cluster and wants to have the cluster push encrypted files to the chosen solution.
Which approach will meet these requirements?

• A. Use pg_audit to generate audit logs and send the logs to the Security team.
• B. Set up database activity streams and connect the data stream from Amazon Kinesis to consumer applications.
• C. Use AWS CloudTrail to audit the DB cluster and the Security team will get data from Amazon S3.
• D. Turn on verbose logging and set up a schedule for the logs to be dumped out for the Security team.

Answer: B Explanation:
https://aws.amazon.com/about-aws/whats-new/2019/05/amazon-aurora-with-postgresql-compatibility-supports-database-activity-streams/
"Database Activity Streams for Amazon Aurora with PostgreSQL compatibility provides a near real-time data stream of the database activity in your relational database to help you monitor activity. When integrated with third party database activity monitoring tools, Database Activity Streams can monitor and audit database activity to provide safeguards for your database and help meet compliance and regulatory requirements."
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/Overview.LoggingAndMonitoring.html
NEW QUESTION # 122
A vehicle insurance company needs to choose a highly available database to track vehicle owners and their insurance details. The persisted data should be immutable in the database, including the complete and sequenced history of changes over time with all the owners and insurance transfer details for a vehicle.
The data should be easily verifiable for the data lineage of an insurance claim.
Which approach meets these requirements with MINIMAL effort?

• A. Create an Amazon DynamoDB table to store the insurance details. Validate the data using AWS DMS validation by moving the data to Amazon S3 to verify the data lineage of an insurance claim.
• B. Create an Amazon Aurora database to store the insurance details. Validate the data using AWS DMS validation by moving the data to Amazon S3 to verify the data lineage of an insurance claim.
• C. Create a blockchain to store the insurance details. Validate the data using a hash function to verify the data lineage of an insurance claim.
• D. Create an Amazon QLDB ledger to store the insurance details. Validate the data by choosing the ledger name in the digest request to verify the data lineage of an insurance claim.

Answer: D
NEW QUESTION # 123
A database professional is developing an application that will respond to single-instance requests. The program will query large amounts of client data and offer end users with results.
These reports may include a variety of fields. The database specialist want to enable users to query the database using any of the fields offered.
During peak periods, the database's traffic volume will be significant yet changeable. However, the database will see little activity over the rest of the day.
Which approach will be the most cost-effective in meeting these requirements?

• A. Amazon DynamoDB with on-demand capacity mode
• B. Amazon Aurora in a serverless mode
• C. Amazon DynamoDB with provisioned capacity mode and auto scaling
• D. Amazon Aurora with auto scaling enabled

Answer: B Explanation:
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Limits.html#limits-items
NEW QUESTION # 124
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