A Developer has been asked to create an AWS Lambda function that is triggered any time updates are made to items in an Amazon DynamoDB table. The function has been created, and appropriate permissions have been added to the Lambda execution role. Amazon DynamoDB streams have been enabled for the table, but the function is still not being triggered.
Which option would enable DynamoDB table updates to trigger the Lambda function?

• A.Change the StreamViewType parameter value to NEW_AND_OLD_IMAGES for the DynamoDB table
• B.Configure event source mapping for the Lambda function
• C.Map an Amazon SNS topic to the DynamoDB streams
• D.increase the maximum execution time (timeout) setting of the Lambda function

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A company has deployed an application on AWS Elastic Beanstalk The company has configured the Auto Scaling group that is associated with the Elastic Beanstalk environment to have five Amazon EC2 instances If the capacity is fewer than four EC2 instances during the deployment, application performance degrades The company is using the all-at-once deployment policy What is the MOST cost-effective way to solve the deployment issue1?

• A.Change the deployment policy to traffic splitting Specify an evaluation time of 1 hour.
• B.Change the deployment policy to rolling with additional batch Specify a batch size of 1
• C.Change the Auto Scaling group to six desired instances
• D.Change the deployment policy to rolling Specify a batch size of 2.

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A Developer has implemented a Lambda function that needs to add new customers to an RDS database that is expected to run hundreds of times per hour. The Lambda function is configured to use 512MB of RAM and is based on the following pseudo code:

After testing the Lambda function, the Developer notices that the Lambda execution time is much longer than expected. What should the Developer do to improve performance?

• A.Increase the amount of RAM allocated to the Lambda function, which will increase the number of threads the Lambda can use.
• B.Increase the size of the RDS database to allow for an increased number of database connections each hour.
• C.Move the database connection and close statement out of the handler. Place the connection in the global space.
• D.Replace RDS wit Amazon DynamoDB to implement control over the number of writes per second.

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A Developer wants to upload data to Amazon S3 and must encrypt the data in transit.
Which of the following solutions will accomplish this task? (Choose two.)

• A.Set up hardware VPN tunnels to a VPC and access S3 through a VPC endpoint
• B.Set up Client-Side Encryption with an AWS KMS-Managed Customer Master Key
• C.Set up Server-Side Encryption with AWS KMS-Managed Keys
• D.Transfer the data over an SSL connection
• E.Set up Server-Side Encryption with S3-Managed Keys

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Which statements about DynamoDB are true? Choose 2 answers

• A.DynamoDB restricts item access during reads
• B.DynamoDB uses a pessimistic locking model
• C.DynamoDB restricts item access during writes
• D.DynamoDB uses optimistic concurrency control
• E.DynamoDB uses conditional writes for consistency

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