A database specialist is launching a test graph database using Amazon Neptune for the first time.The database specialist needs to insert millions of rows of test observations from a .csv file that is stored in Amazon S3.The database specialist has been using a series of API calls to upload the data to the Neptune DB instance.
Which combination of steps would allow the database specialist to upload the data faster?
(Choose three.)
Ensure Amazon Cognito returns the proper AWS STS tokens to authenticate the Neptune DB instance to the S3 bucket hosting the CSV file.
Ensure the vertices and edges are specified in different .csv files with proper header column formatting.
Use AWS DMS to move data from Amazon S3 to the Neptune Loader.
Curl the S3 URI while inside the Neptune DB instance and then run the addVertex or addEdge commands.
Ensure an IAM role for the Neptune DB instance is configured with the appropriate permissions to allow access to the file in the S3 bucket.
Create an S3 VPC endpoint and issue an HTTP POST to the database’s loader endpoint.
I chart that the answer is:
Ensure the vertices and edges are specified in different .csv files with proper header column formatting.
I gauge that the answer is:
Ensure the vertices and edges are specified in different .csv files with proper header column formatting.