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1. A company wants to migrate 200 VMware vSphere VMs to AWS with minimal manual effort and no agent installation on each VM. Which AWS service is the best fit?
- A.AWS Server Migration Service (SMS), which automates agentless replication of VMware vSphere, Microsoft Hyper-V, and Azure VMs to AWS.✓ Correct
- B.AWS Application Migration Service (MGN), which requires installing a replication agent on every source server before migration can begin.
- C.AWS Database Migration Service (DMS), which is designed for database workloads and not suitable for full server VM migrations.
- D.AWS Snowball Edge, which is a physical appliance used for offline bulk data transfer and does not support live VM replication.
Explanation
AWS SMS performs agentless, automated incremental replication of VMware vSphere, Hyper-V, and Azure VMs into AMIs without requiring agents on each VM, making it ideal for large-scale automated VM migrations.
2. Which of the following source environments are supported by AWS Server Migration Service (SMS) for agentless VM replication? (Select the most complete and accurate answer.)
- A.VMware vSphere, Microsoft Hyper-V, and Microsoft Azure virtual machines are all supported as SMS source environments.✓ Correct
- B.Only VMware vSphere environments are supported; Hyper-V and Azure VMs require a separate agent-based migration tool.
- C.SMS supports any on-premises hypervisor including KVM, Xen, and VMware, but does not support cloud-based VMs from Azure.
- D.SMS supports VMware vSphere and Microsoft Azure but explicitly excludes Microsoft Hyper-V from its supported platform list.
Explanation
AWS SMS natively supports VMware vSphere, Microsoft Hyper-V, and Azure VMs for agentless replication. It uses a connector appliance deployed in the source environment to replicate VM volumes into AWS AMIs.
3. A team needs to migrate an Oracle production database to Amazon Aurora PostgreSQL while keeping the source database live and minimizing downtime. Which combination of AWS services should they use?
- A.AWS Schema Conversion Tool (SCT) to convert the schema, then AWS DMS with CDC enabled to replicate ongoing changes during cutover.✓ Correct
- B.AWS DMS full-load only mode, which captures all data at migration start and automatically handles schema differences between Oracle and PostgreSQL.
- C.AWS Snowball Edge to export the Oracle data offline and import it into Aurora, relying on manual scripts for any schema differences.
- D.AWS Server Migration Service (SMS) to replicate the database server VM, then restore the database from the replicated Amazon Machine Image.
Explanation
For heterogeneous migrations (Oracle→Aurora PostgreSQL), SCT converts the schema and stored procedures, while DMS with Change Data Capture (CDC) replicates ongoing transactions, allowing near-zero downtime cutover.
4. A company is migrating from Microsoft SQL Server to Amazon Aurora MySQL. The DBA is concerned about incompatible stored procedures and views. Which AWS tool directly addresses this concern?
- A.AWS Schema Conversion Tool (SCT) automatically converts SQL Server stored procedures, views, and triggers to MySQL-compatible equivalents.✓ Correct
- B.AWS DMS with full-load mode will automatically detect and convert schema differences between SQL Server and Aurora MySQL dialects.
- C.AWS Database Migration Service handles schema conversion natively without any additional tools when migrating between different database engines.
- D.AWS Glue can convert SQL Server stored procedures to Aurora MySQL by cataloging the source metadata and transforming the DDL automatically.
Explanation
AWS SCT is purpose-built for heterogeneous schema migrations. It analyzes source database objects and converts them to the target engine dialect, flagging items requiring manual review when automatic conversion isn't possible.
5. An enterprise needs to migrate approximately 80 petabytes of archival data to AWS from an on-premises data center. Their internet connection would take years to transfer this volume. Which Snow Family service should they use, and what limitation must they know?
- A.AWS Snowmobile supports up to 100 PB per truck and is required for exabyte-scale migrations, but it does NOT support data export from AWS.✓ Correct
- B.AWS Snowball Edge supports petabyte-scale migration and also supports data export from S3, making it the better choice for 80 PB workloads.
- C.AWS Snowmobile supports unlimited data volumes and can also be used to export data from AWS back to on-premises data centers.
- D.AWS Snowball Edge clusters can handle up to 100 PB combined and support both import and export, making Snowmobile unnecessary for 80 PB.
Explanation
Snowmobile is the correct choice for datasets approaching or exceeding 100 PB. However, it is import-only — it does NOT support exporting data from AWS. Snowball Edge supports export but is not designed for exabyte-scale volumes.
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