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NEW QUESTION 26
A company developed an AWS CloudFormation template used to create all new Amazon DynamoDB tables in its AWS account. The template configures provisioned throughput capacity using hard-coded values. The company wants to change the template so that the tables it creates in the future have independently configurable read and write capacity units assigned.
Which solution will enable this change?

A. Add values for the rcuCount and wcuCount parameters to the Mappings section of the template. Replace the hard-coded values with calls to the Ref intrinsic function, referencing the new parameters.B. Add values for two Number parameters, rcuCount and wcuCount, to the template. Replace the hard-coded values with calls to the Ref intrinsic function, referencing the new parameters.C. Add values for the rcuCount and wcuCount parameters as outputs of the template. Configure DynamoDB to provision throughput capacity using the stack outputs.D. Add values for the rcuCount and wcuCount parameters to the Mappings section of the template. Configure DynamoDB to provision throughput capacity using the stack's mappings.

Answer: B

 

NEW QUESTION 27
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 replicasB. Use the AWS CLI to stop each read replica and source instance at the sameC. Stop the read replicas before stopping their source instancesD. Delete each read replica before stopping its corresponding source instance

Answer: B

 

NEW QUESTION 28
A company is building a new web platform where user requests trigger an AWS Lambda function that performs an insert into an Amazon Aurora MySQL DB cluster. Initial tests with less than 10 users on the new platform yielded successful execution and fast response times. However, upon more extensive tests with the actual target of 3,000 concurrent users, Lambda functions are unable to connect to the DB cluster and receive too many connections errors.
Which of the following will resolve this issue?

A. Increase the instance size of the DB clusterB. Increase the number of Aurora ReplicasC. Change the DB cluster to Multi-AZD. Edit the my.cnf file for the DB cluster to increase max_connections

Answer: A

Explanation:
Max_connection is a formula in RDS parameter group: GREATEST({log(DBInstanceClassMemory/805306368)*45},{log(DBInstanceClassMemory/8187281408)*1000})
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/AuroraMySQL.Managing.Performance.html You can increase the maximum number of connections to your Aurora MySQL DB instance by scaling the instance up to a DB instance class with more memory, or by setting a larger value for the max_connections parameter in the DB parameter group for your instance, up to 16,000. You must change a larger value for the max_connections parameter in the DB parameter group, not edit my.cnf, it is not physical server hosting MySQL.

 

NEW QUESTION 29
A company uses Amazon Aurora MySQL as the primary database engine for many of its applications. A database specialist must create a dashboard to provide the company with information about user connections to databases. According to compliance requirements, the company must retain all connection logs for at least 7 years.
Which solution will meet these requirements MOST cost-effectively?

A. Publish the DatabaseConnections metric for the Aurora DB instances to Amazon CloudWatch. Build a dashboard by using CloudWatch dashboards.B. Enable advanced auditing on the Aurora cluster to log CONNECT events. Export audit logs from Amazon CloudWatch to Amazon S3 by using an AWS Lambda function that is invoked by an Amazon EventBridge (Amazon CloudWatch Events) scheduled event. Build a dashboard by using Amazon QuickSight.C. Capture connection attempts to the Aurora cluster with AWS Cloud Trail by using the DescribeEvents API operation. Create a CloudTrail trail to export connection logs to Amazon S3. Build a dashboard by using Amazon QuickSight.D. Start a database activity stream for the Aurora cluster. Push the activity records to an Amazon Kinesis data stream. Build a dynamic dashboard by using AWS Lambda.

Answer: B

Explanation:
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/AuroraMySQL.Auditing.html

 

NEW QUESTION 30
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. Create a custom parameter group, update the log_connections parameter, and associate the parameterwith the DB instanceB. Enable publishing of database engine logs to Amazon CloudWatch Logs and set the event expiration to180 daysC. Update the log_connections parameter in the default parameter groupD. Enable publishing of database engine logs to an Amazon S3 bucket and set the lifecycle policy to 180 daysE. Connect to the RDS PostgreSQL host and update the log_connections parameter in the postgresql.conf file

Answer: C,E

 

NEW QUESTION 31
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