Question 11
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 incorrectWHERE 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. Quickly rewind the DB cluster to a point in time before the release using Backtrack.
B. 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.
C. 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.
D. 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.
Question 12
A company is load testing its three-tier production web application deployed with an AWS CloudFormation template on AWS. The Application team is making changes to deploy additional Amazon EC2 and AWS Lambda resources to expand the load testing capacity. A Database Specialist wants to ensure that the changes made by the Application team will not change the Amazon RDS database resources already deployed.
Which combination of steps would allow the Database Specialist to accomplish this? (Choose two.)
A. Review the stack drift before modifying the template
B. Create and review a change set before applying it
C. Export the database resources as stack outputs
D. Define the database resources in a nested stack
E. Set a stack policy for the database resources
Question 13
A manufacturing company's website uses an Amazon Aurora PostgreSQL DB cluster.
Which configurations will result in the LEAST application downtime during a failover? (Choose three.)
A. Use the provided read and write Aurora endpoints to establish a connection to the Aurora DB cluster.
B. Create an Amazon CloudWatch alert triggering a restore in another Availability Zone when the primary Aurora DB cluster is unreachable.
C. Edit and enable Aurora DB cluster cache management in parameter groups.
D. Set TCP keepalive parameters to a high value.
E. Set JDBC connection string timeout variables to a low value.
F. Set Java DNS caching timeouts to a high value.
Question 14
A company is hosting critical business data in an Amazon Redshift cluster. Due to the sensitive nature of the data, the cluster is encrypted at rest using AWSKMS. As a part of disaster recovery requirements, the company needs to copy the Amazon Redshift snapshots to another Region.
Which steps should be taken in the AWS Management Console to meet the disaster recovery requirements?
A. Create a new KMS customer master key in the source Region. Switch to the destination Region, enable Amazon Redshift cross-Region snapshots, and use the KMS key of the source Region.
B. Create a new IAM role with access to the KMS key. Enable Amazon Redshift cross-Region replication using the new IAM role, and use the KMS key of the source Region.
C. Enable Amazon Redshift cross-Region snapshots in the source Region, and create a snapshot copy grant and use a KMS key in the destination Region.
D. Create a new KMS customer master key in the destination Region and create a new IAM role with access to the new KMS key. Enable Amazon Redshift cross-Region replication in the source Region and use the KMS key of the destination Region.
Question 15
A company has a production Amazon Aurora Db cluster that serves both online transaction processing (OLTP) transactions and compute-intensive reports. The reports run for 10% of the total cluster uptime while the OLTP transactions run all the time. The company has benchmarked its workload and determined that a six- node Aurora DB cluster is appropriate for the peak workload.
The company is now looking at cutting costs for this DB cluster, but needs to have a sufficient number of nodes in the cluster to support the workload at different times. The workload has not changed since the previous benchmarking exercise.
How can a Database Specialist address these requirements with minimal user involvement?
A. Split up the DB cluster into two different clusters: one for OLTP and the other for reporting. Monitor and set up replication between the two clusters to keep data consistent.
B. Review all evaluate the peak combined workload. Ensure that utilization of the DB cluster node is at an acceptable level. Adjust the number of instances, if necessary.
C. Use the stop cluster functionality to stop all the nodes of the DB cluster during times of minimal workload. The cluster can be restarted again depending on the workload at the time.
D. Set up automatic scaling on the DB cluster. This will allow the number of reader nodes to adjust automatically to the reporting workload, when needed.
Question 16
A company is running a finance application on an Amazon RDS for MySQL DB instance. The application is governed by multiple financial regulatory agencies.
The RDS DB instance is set up with security groups to allow access to certain Amazon EC2 servers only. AWS KMS is used for encryption at rest.
Which step will provide additional security?
A. Set up NACLs that allow the entire EC2 subnet to access the DB instance
B. Disable the master user account
C. Set up a security group that blocks SSH to the DB instance
D. Set up RDS to use SSL for data in transit
Question 17
A company needs a data warehouse solution that keeps data in a consistent, highly structured format. The company requires fast responses for end-user queries when looking at data from the current year, and users must have access to the full 15-year dataset, when needed. This solution also needs to handle a fluctuating number incoming queries. Storage costs for the 100 TB of data must be kept low.
Which solution meets these requirements?
A. Leverage an Amazon Redshift data warehouse solution using a dense storage instance type while keeping all the data on local Amazon Redshift storage. Provision enough instances to support high demand.
B. Leverage an Amazon Redshift data warehouse solution using a dense storage instance to store the most recent data. Keep historical data on Amazon S3 and access it using the Amazon Redshift Spectrum layer. Provision enough instances to support high demand.
C. Leverage an Amazon Redshift data warehouse solution using a dense storage instance to store the most recent data. Keep historical data on Amazon S3 and access it using the Amazon Redshift Spectrum layer. Enable Amazon Redshift Concurrency Scaling.
D. Leverage an Amazon Redshift data warehouse solution using a dense storage instance to store the most recent data. Keep historical data on Amazon S3 and access it using the Amazon Redshift Spectrum layer. Leverage Amazon Redshift elastic resize.
Question 18
A gaming company wants to deploy a game in multiple Regions. The company plans to save local high scores in Amazon DynamoDB tables in each Region. ADatabase Specialist needs to design a solution to automate the deployment of the database with identical configurations in additional Regions, as needed. The solution should also automate configuration changes across all Regions.
Which solution would meet these requirements and deploy the DynamoDB tables?
A. Create an AWS CLI command to deploy the DynamoDB table to all the Regions and save it for future deployments.
B. Create an AWS CloudFormation template and deploy the template to all the Regions.
C. Create an AWS CloudFormation template and use a stack set to deploy the template to all the Regions.
D. Create DynamoDB tables using the AWS Management Console in all the Regions and create a step-by-step guide for future deployments.
Question 19
A team of Database Specialists is currently investigating performance issues on an Amazon RDS for MySQL DB instance and is reviewing related metrics. The team wants to narrow the possibilities down to specific database wait events to better understand the situation.
How can the Database Specialists accomplish this?
A. Enable the option to push all database logs to Amazon CloudWatch for advanced analysis
B. Create appropriate Amazon CloudWatch dashboards to contain specific periods of time
C. Enable Amazon RDS Performance Insights and review the appropriate dashboard
D. Enable Enhanced Monitoring will the appropriate settings
Question 20
A large company is using an Amazon RDS for Oracle Multi-AZ DB instance with a Java application. As a part of its disaster recovery annual testing, the company would like to simulate an Availability Zone failure and record how the application reacts during the DB instance failover activity. The company does not want to make any code changes for this activity.
What should the company do to achieve this in the shortest amount of time?
A. Use a blue-green deployment with a complete application-level failover test
B. Use the RDS console to reboot the DB instance by choosing the option to reboot with failover
C. Use RDS fault injection queries to simulate the primary node failure
D. Add a rule to the NACL to deny all traffic on the subnets associated with a single Availability Zone
