An on-premises Oracle database is being moved to Amazon Aurora PostgreSQL. Several applications write to the same AWS SAA-C03 Exam Dumps tables in the database. The applications must be migrated one by one with one month between migrations. The management has expressed concerns about the number of reads and writes in the database. It is important to keep the data in sync across both databases during the migration.
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To migrate all tables, use AWS Database Migration Service
(AWS DMS) to create a change data capture (CDC) replication task and a table
mapping.
The initial migration should be performed using AWS
DataSync. Use AWS Database Migration Service (AWS DMS) to create a full load
plus change data capture (CDC) replication task and a table mapping to select
all tables.
AWS Schema Conversion Tool with AWS Database Migration
Service (AWS DMS) using a memory optimized replication instance. Create a full
load plus change data capture (CDC) replication task and a table mapping.
Use AWS Schema Conversion Tool with AWS Database Migration
Service (AWS DMS), using a compute optimized replication instance. Create a
full load plus change data capture (CDC) replication task.
There is a three-year retention requirement for AWS Cloud Trail logs. The company is enforcing CloudTrail across a set of AWS accounts using AWS Organizations from the parent account. (Dumpsboss) A S3 Versioning policy is in place to delete current objects after three years. Cloud Trail’s target S3 bucket has S3 Versioning enabled.
Despite the continued rise in objects in the S3 bucket, the
number of CloudTrail logs delivered to the bucket has remained consistent over
the past four years.
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