A company stores customer data in an Amazon S3 bucket. The company must permanently delete all customer data that is older than 7 years. Which solution will meet this requirement?

• A. Configure an S3 Lifecycle policy to move objects that are older than 7 years to S3 Glacier Deep Archive.
• B. Configure an S3 Lifecycle policy to enable S3 Object Lock on all objects that are older than 7 years.
• C. Use Amazon Athena to query the S3 bucket for objects that are older than 7 years. Configure Athena to delete the results.
• D. Configure an S3 Lifecycle policy to permanently delete objects that are older than 7 years.

A company is building a data stream processing application. The application runs in an Amazon Elastic Kubernetes Service (Amazon EKS) cluster. The application stores processed data in an Amazon DynamoDB table.
The company needs the application containers in the EKS cluster to have secure access to the DynamoDB table. The company does not want to embed AWS credentials in the containers.
Which solution will meet these requirements?

• A. Create an IAM user that has an access key to access the DynamoDB table. Use environment variables in the EKS containers to store the IAM user access key data.
• B. Store the AWS credentials in an Amazon S3 bucket. Grant the EKS containers access to the S3 bucket to retrieve the credentials.
• C. Create an IAM user that has an access key to access the DynamoDB table. Use Kubernetes secrets that are mounted in a volume of the EKS duster nodes to store the user access key data.
• D. Attach an IAM role to the EKS worker nodes, Grant the IAM role access to DynamoDB. Use the IAM role to set up IAM roles service accounts (IRSA) functionality.

A company runs a multi-tenant Amazon EMR cluster on Amazon EC2 instances. Multiple teams perform interactive query analyses and data transformations on the data in the EMR cluster. The teams can access the cluster only through EMR Studio workspaces and EMR steps.
The teams need to use EMR steps to run Apache Spark jobs to fetch data from an Amazon DynamoDB table. The DynamoDB table contains confidential data that must be accessible to only one specific team. The company needs to ensure that only the appropriate team can access the confidential data in the EMR cluster. Which solution will meet these requirements?

• A. Set up AWS Lake Formation permissions.
• B. Set up a DynamoDB resource-based policy.
• C. Set up runtime roles for EMR steps.
• D. Set up IAM roles for EMR File System (EMRFS) requests.

A data engineer needs to use Amazon Neptune to develop graph applications.
Which programming languages should the engineer use to develop the graph applications?
(Choose two.)

• A. SPARQL
• B. Spark SQL
• C. ANSI SQL
• D. SQL
• E. Gremlin

An ecommerce company uses AWS Glue ETL to process and analyze orders. The company wants to build an extract, transform, and load (ETL) pipeline that processes placed, shipped, delivered, and canceled orders differently.
The company integrates the order processing system with Amazon EventBridge. The company configures EventBridge Scheduler rules for each order status to invoke different AWS Glue workflows. When the company examines Amazon CloudWatch metrics for the workflow, the company notices that the FailedInvocations metric shows a high value for canceled orders.
The company must determine the cause of the failed invocations.
Which solution will meet this requirement?

• A. Change the retry policy in EventBridge Scheduler to increase the value for maximum age of event.
• B. Configure a dead-letter queue in EventBridge Scheduler to store failed events. Analyze the failed order events.
• C. Use the archive and replay features in EventBridge Scheduler to investigate the issue.
• D. Change the retry policy in EventBridge Scheduler to reduce the value for maximum retries.