Question 381:
Your company has landed a contract to build a search engine of public legal documents. The dataset is around 150TB in size and is available at the customer’s data center in various formats. Part of the dataset is stored in tapes, and the other is stored in disks. Some of the dataset is very old, dated to nearly 15 years back, and stored in the compressed format to save on the disk space. The management has assigned you the task to come up with a flexible and cost-efficient design to ingest the data and make it available for the front-end application to search through efficiently. Which two sequential steps should you choose to accomplish this final task?
Answer options:
A.Set up the Snowball Edge Storage Optimized devices to migrate the data to S3. B.Configure the AWS Batch to process the data from S3, send it to Kinesis Firehose, and save it to Amazon OpenSearch Service. C.Set up a VPN connection and transfer the data to AWS S3 over the weekend. D.Load the data to EFS and create Auto Scaling EC2 instances to read through the data and save it into the AWS RDS for querying. E.Set up a Direct Connect connection to transfer the data from on-premise servers to the S3.