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How to Prepare For AWS Certified Database - Specialty

Preparation Guide for AWS Certified Database - Specialty Introduction for AWS Certified Database - Specialty The AWS Certified Database - Specialty (DBS-C01) examination is intended for individuals who perform in a database-focused role. This exam validates an examinee's comprehensive understanding of databases, including the concepts of design, migration, deployment, access, maintenance, automation, monitoring, security, and troubleshooting.It validates an examinee's ability to:

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

Material offered by TorrentExam helps you understand the evolving landscape of databases and what AWS services are available to use those databases. It also serves as an overview of the different skills and responsibilities a database specialist needs to know. You'll then be guided through several courses that go deeper into specific AWS database services to gain an in-depth understanding of when and how to best use each service. This knowledge is valuable for both real-life design and implementation as well as preparing to take the AWS Database Specialty Exam. Use our AMAZON DBS-C01 practice exams and AMAZON DBS-C01 practice exams to prepare in depth for the exam. Recommended Knowledge and Experience for this exam:

• Experience and expertise working with on-premises and AWS-Cloud-based relational and nonrelational databases
• At least 5 years of experience with database technologies
• At least 2 years of hands-on experience working on AWS

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
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%

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Amazon AWS Certified Database - Specialty (DBS-C01) Exam Sample Questions (Q127-Q132):

NEW QUESTION # 127
A business just transitioned from an on-premises Oracle database to Amazon Aurora PostgreSQL. Following the move, the organization observed that every day around 3:00 PM, the application's response time is substantially slower. The firm has determined that the problem is with the database, not the application.
Which set of procedures should the Database Specialist do to locate the erroneous PostgreSQL query most efficiently?

• A. Modify the logging database parameter to log all the queries related to locking in the database and then check the logs after the next slow period for this information.
• B. Enable Amazon RDS Performance Insights on the PostgreSQL database. Use the metrics to identify any queries that are related to spikes in the graph during the next slow period.
• C. Create an Amazon CloudWatch dashboard to show the number of connections, CPU usage, and disk space consumption. Watch these dashboards during the next slow period.
• D. Launch an Amazon EC2 instance, and install and configure an open-source PostgreSQL monitoring tool that will run reports based on the output error logs.

Answer: B Explanation:
Explanation
https://aws.amazon.com/blogs/database/optimizing-and-tuning-queries-in-amazon-rds-postgresql-based-on-nativ
"AWS recently released a feature called Amazon RDS Performance Insights, which provides an easy-to-understand dashboard for detecting performance problems in terms of load." "AWS recently released a feature called Amazon RDS Performance Insights, which provides an easy-to-understand dashboard for detecting performance problems in terms of load."
NEW QUESTION # 128
A financial company has allocated an Amazon RDS MariaDB DB instance with large storage capacity to accommodate migration efforts. Post-migration, the company purged unwanted data from the instance. The company now want to downsize storage to save money. The solution must have the least impact on production and near-zero downtime.
Which solution would meet these requirements?

• A. Create a snapshot of the old databases and restore the snapshot with the required storage
• B. Create a new RDS DB instance with the required storage and move the databases from the old instances to the new instance using AWS DMS
• C. Create a new database using native backup and restore
• D. Create a new read replica and make it the primary by terminating the existing primary

Answer: B Explanation:
https://aws.amazon.com/premiumsupport/knowledge-center/rds-db-storage-size/ Use AWS Database Migration Service (AWS DMS) for minimal downtime.
NEW QUESTION # 129
A company is using Amazon RDS for PostgreSQL. The Security team wants all database connection requests to be logged and retained for 180 days. The RDS for PostgreSQL DB instance is currently using the default parameter group. A Database Specialist has identified that setting the log_connections parameter to 1 will enable connections logging.
Which combination of steps should the Database Specialist take to meet the logging and retention requirements? (Choose two.)

• A. Update the log_connections parameter in the default parameter group
• B. Connect to the RDS PostgreSQL host and update the log_connections parameter in the postgresql.conf file
• C. Enable publishing of database engine logs to an Amazon S3 bucket and set the lifecycle policy to 180 days
• D. Create a custom parameter group, update the log_connections parameter, and associate the parameterwith the DB instance
• E. Enable publishing of database engine logs to Amazon CloudWatch Logs and set the event expiration to180 days

Answer: A,B
NEW QUESTION # 130
A database specialist needs to configure an Amazon RDS for MySQL DB instance to close non-interactive connections that are inactive after 900 seconds.
What should the database specialist do to accomplish this task?

• A. Connect to the MySQL database and run the SET SESSION wait_timeout=900 command.
• B. Edit the my.cnf file and set the wait_timeout parameter value to 900. Restart the DB instance.
• C. Modify the default DB parameter group and set the wait_timeout parameter value to 900.
• D. Create a custom DB parameter group and set the wait_timeout parameter value to 900. Associate the DB instance with the custom parameter group.

Answer: D Explanation:
https://aws.amazon.com/fr/blogs/database/best-practices-for-configuring-parameters-for-amazon-rds-for-mysql-part-3-parameters-related-to-security-operational-manageability-and-connectivity-timeout/
"You can set parameters globally using a parameter group. Alternatively, you can set them for a particular session using the SET command." https://aws.amazon.com/blogs/database/best-practices-for-configuring-parameters-for-amazon-rds-for-mysql-part-1-parameters-related-to-performance/
NEW QUESTION # 131
An Amazon RDS EBS-optimized instance with Provisioned IOPS (PIOPS) storage is using less than half of its allocated IOPS over the course of several hours under constant load. The RDS instance exhibits multi-second read and write latency, and uses all of its maximum bandwidth for read throughput, yet the instance uses less than half of its CPU and RAM resources.
What should a Database Specialist do in this situation to increase performance and return latency to sub- second levels?

• A. Increase the size of the DB instance storage
• B. Change the underlying EBS storage type to General Purpose SSD (gp2)
• C. Disable EBS optimization on the DB instance
• D. Change the DB instance to an instance class with a higher maximum bandwidth

Answer: D Explanation:
https://docs.amazonaws.cn/enus/AmazonRDS/latest/UserGuide/CHAPBestPractices.html
NEW QUESTION # 132
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