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NEW QUESTION 42 A company is running a serverless application on AWS Lambda The application stores data in an Amazon RDS for MySQL DB instance Usage has steadily increased and recently there have been numerous "too many connections" errors when the Lambda function attempts to connect to the database The company already has configured the database to use the maximum max_connections value that is possible What should a SysOps administrator do to resolve these errors'?

• A. Use Amazon RDS Proxy to create a proxy Update the connection string in the Lambda function
• B. Update the Lambda function's reserved concurrency to a higher value
• C. Increase the value in the maxconnecterrors parameter in the parameter group that the database uses
• D. Create a read replica of the database Use Amazon Route 53 to create a weighted DNS record that contains both databases

Answer: A Explanation: Reference: https://aws.amazon.com/blogs/compute/using-amazon-rds-proxy-with-aws-lambda/ RDS Proxy acts as an intermediary between your application and an RDS database. RDS Proxy establishes and manages the necessary connection pools to your database so that your application creates fewer database connections. Your Lambda functions interact with RDS Proxy instead of your database instance. It handles the connection pooling necessary for scaling many simultaneous connections created by concurrent Lambda functions. This allows your Lambda applications to reuse existing connections, rather than creating new connections for every function invocation. Check "Database proxy for Amazon RDS" section in the link to see how RDS proxy help Lambda handle huge connections to RDS MySQL https://aws.amazon.com/blogs/compute/using-amazon-rds-proxy-with-aws-lambda/   NEW QUESTION 43 A company updates its security policy to clarify cloud hosting arrangements for regulated workloads. Workloads that are identified as sensitive must run on hardware that is not shared with other customers or with other AWS accounts within the company. Which solution will ensure compliance with this policy?

• A. Deploy workloads only to Dedicated Hosts.
• B. Deploy workloads only to Reserved Instances.
• C. Place all instances in a dedicated placement group.
• D. Deploy workloads only to Dedicated Instances.

Answer: A Explanation: Dedicated Hosts are physical servers that are dedicated to a single customer, ensuring that the customer's workloads are not shared with other customers or with other AWS accounts within the company. This will ensure that the company's security policy is followed and that sensitive workloads are running on hardware that is not shared with other customers or with other AWS accounts within the company.   NEW QUESTION 44 A company using AWS Organizations requires that no Amazon S3 buckets in its production accounts should ever be deleted. What is the SIMPLEST approach the SysOps administrator can take to ensure S3 buckets in those accounts can never be deleted?

• A. Set up MFA Delete on all the S3 buckets to prevent the buckets from being deleted.
• B. Use AWS Shield to deny the s3:DeleteBucket action on the AWS account instead of all S3 buckets.
• C. Create an IAM group that has an IAM policy to deny the s3:DeleteBucket action on all buckets in production accounts.
• D. Use service control policies to deny the s3:DeleteBucket action on all buckets in production accounts.

Answer: D Explanation: https://docs.aws.amazon.com/organizations/latest/userguide/orgsmanagepolicies_scps.html If you're using AWS Organizations, check the service control policies for any statements that explicitly deny Amazon S3 access. In particular, check the service control policies for statements denying the s3:PutBucketPolicy action. https://aws.amazon.com/tw/premiumsupport/knowledge-center/s3-access-denied-bucket-policy/   NEW QUESTION 45 A company is using an Amazon Aurora MySQL DB cluster that has point-in-time recovery, backtracking, and automatic backup enabled. A SysOps administrator needs to be able to roll back the DB cluster to a specific recovery point within the previous 72 hours. Restores must be completed in the same production DB cluster. Which solution will meet these requirements?

• A. Use point-in-time recovery to restore the existing DB cluster to the desired recovery point.
• B. Create an AWS Lambda function to restore an automatic backup to the existing DB cluster.
• C. Use backtracking to rewind the existing DB cluster to the desired recovery point.
• D. Create an Aurora Replica. Promote the replica to replace the primary DB instance.

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