Amazon
DBS-C01 · Question #159
A database specialist must load 25 GB of data files from a company's on-premises storage to an Amazon Neptune database. Which approach to load the data is FASTEST?
The correct answer is A. Upload the data to Amazon S3 and use the Loader command to load the data from Amazon S3. 1. Copy the data files to an Amazon Simple Storage Service (Amazon S3) bucket. 2. Create an IAM role with Read and List access to the bucket. 3. Create an Amazon S3 VPC endpoint. 4. Start the Neptune loader by sending a request via HTTP to the Neptune DB instance. 5. The Neptune
Submitted by luis.pe· Mar 6, 2026Deployment and Migration
Question
A database specialist must load 25 GB of data files from a company's on-premises storage to an Amazon Neptune database. Which approach to load the data is FASTEST?
Options
- AUpload the data to Amazon S3 and use the Loader command to load the data from Amazon S3
- BWrite a utility to read the data from the on-premises storage and run INSERT statements in a loop
- CUse the AWS CLI to load the data directly from the on-premises storage into the Neptune
- DUse AWS DataSync to load the data directly from the on-premises storage into the Neptune
How the community answered
(29 responses)- A83% (24)
- B3% (1)
- C3% (1)
- D10% (3)
Explanation
- Copy the data files to an Amazon Simple Storage Service (Amazon S3) bucket. 2. Create an IAM role with Read and List access to the bucket. 3. Create an Amazon S3 VPC endpoint. 4. Start the Neptune loader by sending a request via HTTP to the Neptune DB instance. 5. The Neptune DB instance assumes the IAM role to load the data from the bucket.
Topics
#Neptune#data loading#bulk import#Amazon S3#data migration
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