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NEW QUESTION 45
Recently, a financial institution created a portfolio management service. The application's backend is powered by Amazon Aurora, which supports MySQL.
The firm demands a response time of five minutes and a response time of five minutes. A database professional must create a disaster recovery system that is both efficient and has a low replication latency.
How should the database professional tackle these requirements?
- A. Configure an Amazon Aurora global database and add a different AWS Region.
- B. Configure a binlog and create a replica in a different AWS Region.
- C. Configure AWS Database Migration Service (AWS DMS) and create a replica in a different AWS Region.
- D. Configure a cross-Region read replica.
Answer: A
Explanation:
Explanation
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/aurora-global-database-disaster-recovery.htm
https://aws.amazon.com/blogs/database/how-to-choose-the-best-disaster-recovery-option-for-your-amazon-auror
https://aws.amazon.com/about-aws/whats-new/2019/11/aurora-supports-in-place-conversion-to-global-database/
NEW QUESTION 46
A company is planning to close for several days. A Database Specialist needs to stop all applications alongwith the DB instances to ensure employees do not have access to the systems during this time. All databasesare running on Amazon RDS for MySQL.
The Database Specialist wrote and executed a script to stop all the DB instances. When reviewing the logs,the Database Specialist found that Amazon RDS DB instances with read replicas did not stop.
How should the Database Specialist edit the script to fix this issue?
- A. Stop the source instances before stopping their read replicas
- B. Delete each read replica before stopping its corresponding source instance
- C. Stop the read replicas before stopping their source instances
- D. Use the AWS CLI to stop each read replica and source instance at the same
Answer: D
NEW QUESTION 47
A company is using Amazon Aurora PostgreSQL for the backend of its application. The system users are complaining that the responses are slow. A database specialist has determined that the queries to Aurora take longer during peak times. With the Amazon RDS Performance Insights dashboard, the load in the chart for average active sessions is often above the line that denotes maximum CPU usage and the wait state shows that most wait events are IO:XactSync.
What should the company do to resolve these performance issues?
- A. Modify applications to avoid conflicts by taking locks.
- B. Scale up the DB instance class.
- C. Modify applications to commit transactions in batches.
- D. Add an Aurora Replica to scale the read traffic.
Answer: C
Explanation:
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/AuroraPostgreSQL.Reference.html
https://blog.dbi-services.com/aws-aurora-xactsync-batch-commit/
NEW QUESTION 48
A company has an AWS CloudFormation template written in JSON that is used to launch new Amazon RDS for MySQL DB instances. The security team has asked a database specialist to ensure that the master password is automatically rotated every 30 days for all new DB instances that are launched using the template.
What is the MOST operationally efficient solution to meet these requirements?
- A. Integrate the Amazon RDS for MySQL DB instances with AWS IAM and centrally manage the master database user password.
- B. Modify the CloudFormation template to use the AWS KMS key as the database password. Configure an Amazon EventBridge rule to invoke the KMS API to rotate the key every 30 days by setting the ScheduleExpression parameter to ***/30***.
- C. Create an AWS Lambda function to rotate the secret. Modify the CloudFormation template to add an AWS::SecretsManager::RotationSchedule resource. Configure the RotationLambdaARN value and, for the RotationRules property, set the AutomaticallyAfterDays parameter to 30.
- D. Save the password in an Amazon S3 object. Encrypt the S3 object with an AWS KMS key. Set the KMS key to be rotated every 30 days by setting the EnableKeyRotation property to true. Use a CloudFormation custom resource to read the S3 object to extract the password.
Answer: B
NEW QUESTION 49
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