You’ve just provisioned an AWS RDS Instance. There is a large dataset that is going to be loaded into the database. Which of the following metric would you ideally monitor during the load process? (Select TWO)

Answer options:

A.Disk Queue Depth
B.Free Storage Space
C.Replica Lag
D.Read IOPS

Correct Answers: A and B
The AWS Documentation mentions the following.
If your DB instance runs out of storage space, it might no longer be available. We highly recommend that you constantly monitor the FreeStorageSpace metric published in CloudWatch to ensure that your DB instance has enough free storage space.
Also, the number of outstanding IOs (read/write requests) waiting to access the disk.
Evaluating performance metrics:
A DB instance has a number of different categories of metrics, and how to determine acceptable values depends on the metric.
Disk space
Free Storage Space – How much disk space is not currently being used by the DB instance, in megabytes.
Input/output operations
Read IOPS, Write IOPS – The average number of disk read or write operations per second.
Read Latency, Write Latency – The average time for a read or write operation in milliseconds.
Read Throughput, Write Throughput – The average number of megabytes read from or written to disk per second.
Queue Depth – The number of I/O operations that are waiting to be written to or read from disk.
Option C is incorrect since this is used to record the amount of time a Read Replica DB instance lags behind the source DB instance. Applies to MySQL, MariaDB, and PostgreSQL Read Replicas.
Option D is incorrect since this is a write-intensive operation for the loading of data.
For more information on metrics for RDS, please visit the below URLs-
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/CHAP_BestPractices.html#CHAP_BestPractices.UsingMetrics
https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/rds-metricscollected.html