SAP-C02 Accelerate Workload Migration and Modernization Practice Test 10 — 15 Questions

Question 1

An S3 bucket contains thousands of objects under the 'logs/' prefix. The above AWS CLI command is run to list objects larger than 1000 bytes. The command returns an empty array, but there are known objects larger than 1000 bytes. What is the most likely reason?

Choose an answer to begin — your selection is scored in the full session.

Accepted Answer

The command only returns the first 1000 objects due to pagination. The AWS CLI command to list objects with a filter (e.g., using JMESPath query) only returns up to 1000 objects per API call by default. If there are more than 1000 objects under the prefix, the command returns only the first 1000, and if none of those match the size filter, it returns an empty array. To retrieve all objects, you must use pagination (e.g., --max-items or --page-size) or iterate using the NextContinuationToken.

Answer

The prefix 'logs/' is case-sensitive and should be 'Logs/'

Answer

The command has a syntax error in the JMESPath query

Answer

The bucket policy does not allow listing objects

Question 2

A company is migrating a legacy application that uses a proprietary binary protocol over TCP. They want to modernize to a containerized microservices architecture on Amazon EKS. The protocol must be preserved for backward compatibility. Which approach should they take?

Accepted Answer

Deploy a sidecar proxy container in the same pod to translate the protocol. A sidecar proxy running on the same pod as the legacy container can handle the proprietary protocol and translate it to HTTP for other microservices. Option A (API Gateway) requires HTTP, which is not suitable. Option C (Refactor the protocol) is too risky and time-consuming. Option D (Network Load Balancer) cannot translate protocols; it only forwards TCP traffic at layer 4.

Answer

Use Amazon API Gateway to expose the legacy service as a REST API

Answer

Refactor the legacy application to use HTTP

Answer

Use a Network Load Balancer to route TCP traffic to the legacy container

Question 3

A company is migrating 50 TB of data from on-premises to Amazon S3 over a 100 Mbps internet connection. The migration must complete within 30 days. What should they do?

Accepted Answer

Use AWS Snowball Edge devices. At 100 Mbps, transferring 50 TB would take approximately 48 days (50 TB * 1024 GB/TB * 1024 MB/GB * 8 bits/byte / (100 Mbps) / 86400 sec/day ≈ 48 days), exceeding the 30-day window. AWS Snowball Edge can transfer data faster via physical shipment. Option A (increase bandwidth) may not be feasible. Option C (S3 Transfer Acceleration) still uses internet. Option D (AWS DataSync) also uses network.

Answer

Use AWS DataSync to transfer data

Answer

Use AWS Direct Connect to increase bandwidth

Answer

Use S3 Transfer Acceleration

Question 4

A company is migrating its on-premises VMware VMs to AWS using AWS MGN. They need to ensure that the migration minimizes downtime and automates cutover. Which TWO steps are required? (Select TWO.)

Accepted Answer

Launch a test instance to validate the migration before cutover. AWS MGN requires installing the MGN agent on each source VM (option D) and then launching a test instance to verify the migration before cutover (option C). Option A (AWS SMS) is a different migration service. Option B (AWS CloudEndure Migration) is the former name of MGN, not a specific step. Option E (AWS DMS) is for database migrations.

Answer

Use AWS Server Migration Service (SMS) to replicate the VMs

Answer

Use AWS CloudEndure Migration to configure the replication

Answer

Use AWS DMS to migrate the data from the VMs

Question 5

A company is modernizing a legacy CRM application to a microservices architecture on AWS. They want to use AWS Lambda for compute and Amazon API Gateway for the API layer. Which THREE design patterns should they consider? (Select THREE.)

Accepted Answer

Decompose the monolith into separate Lambda functions for each business capability. Option B is correct because decomposing the monolith into separate Lambda functions per business capability is the core of a microservices architecture, giving each service independent deployment, scaling, and a single responsibility. Option C is correct because API Gateway can expose each microservice as its own REST API (or as resources/methods within an API), providing routing, throttling, authorization, and a managed front door for the Lambda-backed services. Option E is correct because AWS Step Functions is the standard way to orchestrate multiple Lambda functions into complex workflows, handling state, retries, error handling, and sequencing that would be fragile if chained manually. Option A does not belong because ElastiCache is a caching/session-store service, not a microservices design pattern, and Lambda is stateless so external session state is an implementation detail rather than one of the three patterns being asked for. Option D does not belong because EC2 Auto Scaling groups are for long-running server-based compute, which contradicts the stated goal of using Lambda for compute.

Answer

Use Amazon ElastiCache for session state management

Answer

Use EC2 Auto Scaling groups for each microservice

Question 6

A company is migrating a large-scale e-commerce platform to AWS. The platform uses a MySQL database with a 2 TB dataset. They want to modernize to Amazon Aurora MySQL with minimal downtime. Which THREE steps should they take? (Select THREE.)

Accepted Answer

Use AWS Schema Conversion Tool (SCT) to convert the existing schema to Aurora MySQL. To migrate a large MySQL database to Amazon Aurora MySQL with minimal downtime, the recommended steps are to use AWS Schema Conversion Tool (SCT) to convert the schema to Aurora-compatible format and AWS DMS with ongoing replication using Change Data Capture (CDC) to synchronize data with near-zero downtime. Setting up an Aurora Replica from the source MySQL instance (Option B) is not possible because Aurora Replicas are only within Aurora, not from an external MySQL source. Options C and D are incorrect as they do not target Aurora.

Answer

Set up an Aurora Replica from the source MySQL instance

Answer

Use Amazon RDS for MySQL instead of Aurora

Answer

Migrate the database to Amazon DynamoDB

Question 7

A company is planning to migrate a 50 TB Oracle database to Amazon Aurora PostgreSQL. The company requires minimal downtime and wants to use AWS DMS for the migration. The source database is currently running on a dedicated server with high transaction volume. The network bandwidth between on-premises and AWS is 1 Gbps. What additional step should the company take to accelerate the migration and reduce downtime?

Accepted Answer

Use AWS Snowball to transfer an initial full load of the database to Amazon S3, then use AWS DMS for ongoing replication. For a 50 TB Oracle database over a 1 Gbps link, the initial full load would take many hours (roughly 4+ days at theoretical line rate, longer in practice), which conflicts with the minimal-downtime requirement. AWS Snowball moves the bulk data offline to S3, and AWS DMS can then perform change data capture (CDC) from the on-premises source to Aurora PostgreSQL for ongoing replication, dramatically shrinking the cutover window.

Answer

Migrate the database in smaller batches by moving individual schemas sequentially

Answer

Use AWS DMS with a single task and disable validation to speed up the process

Answer

Increase the network bandwidth to 10 Gbps for the duration of the migration

Question 8

A company is migrating its data warehouse from on-premises to Amazon Redshift. The current on-premises data warehouse runs on a proprietary MPP system. The company wants to minimize downtime and ensure data consistency. The company has a large volume of historical data (30 TB) and daily incremental updates of 10 GB. Which migration approach should the company use?

Accepted Answer

Use AWS Snowball to transfer the historical data to Amazon S3, then use AWS DMS with ongoing CDC to replicate incremental changes until cutover. AWS Snowball efficiently transfers the 30 TB historical dataset offline, avoiding network bottlenecks, while AWS DMS with ongoing change data capture (CDC) continuously replicates the 10 GB daily incremental changes from the on-premises proprietary MPP system to Amazon Redshift. This dual approach minimizes downtime because the bulk load and incremental replication happen in parallel, and the final cutover only requires a brief pause to apply remaining changes, ensuring data consistency. DMS supports heterogeneous migrations from proprietary databases to Redshift, making it the ideal tool for this scenario.

Answer

Use an ETL tool to extract data from the source and load directly into Amazon Redshift during a maintenance window

Answer

Perform a full export of the on-premises database to flat files, transfer them over the network, and load into Amazon Redshift

Answer

Use AWS DMS with full load only, then schedule a downtime window for the final sync

Question 9

A company is migrating a large .NET application from Windows Server on-premises to AWS. The application uses a SQL Server database. The company wants to reduce licensing costs by using open-source alternatives where possible. However, the application code heavily uses SQL Server-specific features like CLR integration, linked servers, and T-SQL stored procedures. What is the most cost-effective migration strategy?

Accepted Answer

Rehost the application on Amazon EC2 Windows Server and use Amazon RDS for SQL Server with a license-included option. Replatforming the database to Amazon RDS for SQL Server retains the SQL Server-specific features while reducing operational overhead. Moving to Aurora PostgreSQL or MySQL would require significant code changes. Rehosting on EC2 SQL Server does not reduce licensing costs.

Answer

Rehost both application and database on Amazon EC2 with SQL Server licenses brought to AWS

Answer

Refactor the application to use a microservices architecture with separate databases

Answer

Replatform the database to Amazon Aurora PostgreSQL and rewrite the database code to be compatible

Question 10

Which TWO of the following are best practices for migrating a large-scale relational database to Amazon Aurora using AWS DMS? (Choose two.)

Accepted Answer

Use multiple parallel DMS tasks to improve throughput. Using parallel tasks improves throughput. Validating data after migration ensures consistency. Disabling foreign keys may cause data integrity issues. Using largest instance type may not be cost-effective. Using CDC reduces downtime.

Answer

Disable foreign key constraints on the target database during migration to speed up the load

Answer

Use the largest DMS replication instance to maximize performance

Answer

Migrate while the source database is fully active without any downtime

Question 11

Which TWO AWS services can be used together to automate the discovery and migration of on-premises servers to AWS? (Choose two.)

Accepted Answer

AWS Application Migration Service (MGN). AWS Application Discovery Service (E) is correct because it performs agentless or agent-based discovery of on-premises servers, collecting configuration, usage, and dependency data that feeds migration planning. AWS Application Migration Service (MGN) (D) is correct because it uses that discovered data to perform automated, block-level replication and lift-and-shift migration of physical, virtual, or cloud servers into AWS as EC2 instances. Together they form the standard discovery-to-migration pipeline for server migrations. AWS DataSync (A) is a data transfer service for files and objects, not server discovery or OS-level migration. AWS Database Migration Service (B) migrates databases, not whole servers. AWS Server Migration Service (C) is the older, deprecated agent-based service that has been superseded by MGN, so it is not the intended pair.

Answer

AWS DataSync

Answer

AWS Database Migration Service (DMS)

Answer

AWS Server Migration Service (SMS)

Question 12

A migration engineer is setting up an AWS DMS task to migrate data from an on-premises Oracle database to Amazon RDS for PostgreSQL. The engineer attaches this IAM policy to the DMS service role. The DMS task fails with an error indicating insufficient privileges. What is the most likely cause?

Accepted Answer

The policy does not allow the dms:CreateEndpoint action. DMS needs permission to describe endpoints and test connections, which are not in the policy. The policy allows creating and starting tasks but not the prerequisite actions like creating endpoints. S3 access is correct if using S3 as a source/target, but the core issue is missing endpoint permissions.

Answer

The policy does not allow the s3:ListBucket action for the S3 bucket

Answer

The policy does not allow the dms:TestConnection action

Answer

The policy does not allow the rds:ModifyDBInstance action

Question 13

A company is migrating a legacy Java-based customer relationship management (CRM) system from on-premises to AWS. The application currently runs on a single physical server with a monolithic architecture. The application stores data in an Oracle database on a separate server. The company has purchased a third-party migration tool that can convert Oracle stored procedures to Amazon Aurora PostgreSQL-compatible code. The migration team has successfully migrated the database to Aurora PostgreSQL using AWS DMS with ongoing CDC. The application now runs on a single EC2 instance in a test environment. However, during load testing, the application experiences high latency and intermittent timeouts when accessing the database. The team notices that the application makes many short-lived database connections and uses a connection pool that was configured for the on-premises environment. The team has also observed that the application logs show a high number of connection timeouts. The company wants to modernize the application to be highly available and scalable on AWS. Which combination of actions should the team take to resolve the performance issues and achieve the company's goals?

Accepted Answer

Deploy the application on Amazon ECS with Fargate, and use Amazon RDS Proxy to manage database connections efficiently. Refactor the application to separate components into multiple microservices.. Deploying the application on Amazon ECS with Fargate and using Amazon RDS Proxy manages database connections efficiently, addressing the connection timeout issues. Refactoring into microservices improves scalability and fault isolation, achieving the modernization goals.

Answer

Use Amazon ElastiCache to cache database query results and reduce the number of direct database connections. Keep the application on a single EC2 instance but use an Auto Scaling group with a minimum of one instance.

Answer

Increase the connection pool size in the application configuration to handle more concurrent requests. Then deploy the application on a larger EC2 instance to handle the load.

Answer

Migrate the application to run on AWS Lambda with a connection pool managed by the Lambda function. Use Amazon RDS Proxy to handle the database connections.

Question 14

A company is migrating a multi-tier web application to AWS. The application consists of a web tier, an application tier, and a database tier. The company wants to use AWS services to improve scalability and reduce management overhead. The web and application tiers run on Linux. The database is Oracle running on Linux. Which solution meets these requirements with the LEAST operational overhead?

Accepted Answer

Deploy the web and application tiers using AWS Elastic Beanstalk with an Auto Scaling group. Migrate the database to Amazon RDS for Oracle.. AWS Elastic Beanstalk automatically manages the capacity provisioning, load balancing, and scaling of the web and application tiers, significantly reducing management overhead. Amazon RDS for Oracle handles database administration tasks such as patching, backups, and replication. Option A (EC2 + Auto Scaling) requires manual configuration and management of EC2 instances, increasing operational overhead. Option B (ECS with Fargate) introduces containerization complexity that is not necessary for a straightforward migration and may require additional learning and orchestration. Option D (RDS Custom) provides more customization but at the cost of increased operational overhead compared to standard RDS. Therefore, Option C offers the least operational overhead.

Answer

Deploy web and application tiers on Amazon EC2 instances in an Auto Scaling group. Migrate the database to an Amazon RDS for Oracle DB instance.

Answer

Containerize the web and application tiers and deploy them on Amazon ECS with AWS Fargate. Migrate the database to Amazon RDS for Oracle.

Answer

Deploy web and application tiers on Amazon EC2 instances in an Auto Scaling group. Migrate the database to Oracle on Amazon RDS Custom.

Question 15

A company is migrating a legacy application to AWS. The application runs on a single Windows Server instance and uses a local MySQL database. The company wants to minimize changes to the application code. Which migration strategy should the company use?

Accepted Answer

Rehost the application on Amazon EC2 with MySQL installed on the same instance. Rehost (lift-and-shift) migrates the application as-is to EC2, keeping MySQL on the same instance to minimize code changes. Option B (Retire) is not a migration strategy. Option C (Refactor) requires code changes to adapt to serverless and DynamoDB. Option D (Replatform) moves the database to RDS, which may require code changes due to different database configuration or features.

Answer

Retire the application and replace it with a SaaS alternative

Answer

Refactor the application to use a serverless architecture with AWS Lambda and Amazon DynamoDB

Answer

Replatform the application by moving the database to Amazon RDS for MySQL