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Free Amazon Web Services SAP-C02 Practice Exam with Questions & Answers | Set: 9

Questions 121

A company is developing a solution to analyze images. The solution uses a 50 TB reference dataset and analyzes images up to 1 TB in size. The solution spreads requests across an Auto Scaling group of Amazon EC2 Linux instances in a VPC. The EC2 instances are attached to shared Amazon EBS io2 volumes in each Availability Zone. The EBS volumes store the reference dataset.

During testing, multiple parallel analyses led to numerous disk errors, which caused job failures. The company wants the solution to provide seamless data reading for all instances.

Which solution will meet these requirements MOST cost-effectively?

Options:
A.

Create a new EBS volume for each EC2 instance. Copy the data from the shared volume to the new EBS volume regularly. Update the application to reference the new EBS volume.

B.

Move all the reference data to an Amazon S3 bucket. Install Mountpoint for Amazon S3 on the EC2 instances. Create gateway endpoints for Amazon S3 in the VPC. Replace the EBS mount point with the S3 mount point.

C.

Move all the reference data to an Amazon S3 bucket. Create an Amazon S3 backed Multi-AZ Amazon EFS volume. Mount the EFS volume on the EC2 instances. Replace the EBS mount point with the EFS mount point.

D.

Upgrade the instances to local storage. Copy the data from the shared EBS volume to the local storage regularly. Update the application to reference the local storage.

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Questions 122

A company is planning to migrate workloads from its on-premises data center to Amazon EC2 instances. The workloads run on physical servers and VMware virtual servers. The company has gathered details about each on-premises server and virtual server, including server specification, CPU utilization, and memory utilization. The company has stored these details in a .csv file named onprem.csv.

Before the migration, the company must estimate the cost of running the servers on AWS and must determine recommended EC2 instance types for the servers. The company must export this information to a different .csv file.

Which solution will meet these requirements?

Options:
A.

Configure AWS Compute Optimizer to generate recommendations from an external source. Import the onprem.csv file. Export the Compute Optimizer recommendations to a new .csv file.

B.

Import the onprem.csv file into AWS Migration Hub by using AWS Migration Hub import. Use EC2 instance recommendations from Migration Hub to generate recommendations. Export the recommendations to a new .csv file.

C.

Deploy AWS Application Discovery Service Agentless Collector on premises. Use Agentless Collector to import the onprem.csv file. Send the file to AWS Migration Hub. Use EC2 instance recommendations from Migration Hub to generate recommendations. Export the recommendations to a new .csv file.

D.

Upload the onprem.csv file to an Amazon S3 bucket. Configure Migration Evaluator to import the data from the S3 bucket. Generate and confirm recommendations by using Migration Evaluator Quick Insights. Export the final recommendations to a new .csv file in the S3 bucket.

Questions 123

A company is migrating its blog platform to AWS. The company's on-premises servers connect to AWS through an AWS Site-to-Site VPN connection. The blog content is updated several times a day by multiple authors and is served from a file share on a network-attached storage (NAS) server.

The company needs to migrate the blog platform without delaying the content updates. The company has deployed Amazon EC2 instances across multiple Availability Zones to run the blog platform behind an Application Load Balancer. The company also needs to move 200 TB of archival data from its on-premises servers to Amazon S3 as soon as possible.

Which combination of steps will meet these requirements? (Select TWO.)

Options:
A.

Create a weekly cron job in Amazon EventBridge. Use the cron job to invoke an AWS Lambda function to update the EC2 instances from the NAS server.

B.

Configure an Amazon Elastic Block Store (Amazon EBS) Multi-Attach volume for the EC2 instances to share for content access. Write code to synchronize the EBS volume with the NAS server weekly.

C.

Mount an Amazon Elastic File System (Amazon EFS) file system to the on-premises servers to act as the NAS server. Copy the blog data to the EFS file system. Mount the EFS file system to the EC2 instances to serve the content.

D.

Order an AWS Snowball Edge Storage Optimized device. Copy the static data artifacts to the device. Ship the device to AWS.

E.

Order an AWS Snowcone SSD device. Copy the static data artifacts to the device. Ship the device to AWS.

Questions 124

A company is building an application on Amazon EMR to analyze data. The following user groups need to perform different actions:

• Administrator: Provision EMR clusters from different configurations.

• Data engineer: Create an EMR cluster from a small set of available configurations. Run ETL scripts to process data.

• Data analyst: Create an EMR cluster with a specific configuration. Run SQL queries and Apache Hive queries on the data.

A solutions architect must design a solution that gives each group the ability to launch only its authorized EMR configurations. The solution must provide the groups with least privilege access to only the resources that they need. The solution also must provide tagging for all resources that the groups create.

Which solution will meet these requirements?

Options:
A.

Configure AWS Service Catalog to control the Amazon EMR versions available for deployment, the cluster configurations, and the permissions for each user group.

B.

Configure Kerberos-based authentication for EMR clusters when the EMR clusters launch. Specify a Kerberos security configuration and cluster-specific Kerberos options.

C.

Create IAM roles for each user group. Attach policies to the roles to define allowed actions for users. Create an AWS Config rule to check for noncompliant resources. Configure the rule to notify the company to address noncompliant resources.

D.

Use AWS CloudFormation to launch EMR clusters with attached resource policies. Create an AWS Config rule to check for noncompliant resources. Configure the rule to notify the company to address noncompliant resources.

Questions 125

A company is storing data in several Amazon DynamoDB tables. A solutions architect must use a serverless architecture to make the data accessible publicly through a simple API over HTTPS. The solution must scale automatically in response to demand.

Which solutions meet these requirements? (Choose two.)

Options:
A.

Create an Amazon API Gateway REST API. Configure this API with direct integrations to DynamoDB by using API Gateway’s AWS integration type.

B.

Create an Amazon API Gateway HTTP API. Configure this API with direct integrations to Dynamo DB by using API Gateway’s AWS integration type.

C.

Create an Amazon API Gateway HTTP API. Configure this API with integrations to AWS Lambda functions that return data from the DynamoDB tables.

D.

Create an accelerator in AWS Global Accelerator. Configure this accelerator with AWS Lambda@Edge function integrations that return data from the DynamoDB tables.

E.

Create a Network Load Balancer. Configure listener rules to forward requests to the appropriate AWS Lambda functions

Questions 126

An online gaming company needs to optimize the cost of its workloads on AWS. The company uses a dedicated account to host the production environment for its online gaming application and an analytics application.

Amazon EC2 instances host the gaming application and must always be vailable. The EC2 instances run all year. The analytics application uses data that is stored in Amazon S3. The analytics application can be interrupted and resumed without issue.

Which solution will meet these requirements MOST cost-effectively?

Options:
A.

Purchase an EC2 Instance Savings Plan for the online gaming application instances. Use On-Demand Instances for the analytics application.

B.

Purchase an EC2 Instance Savings Plan for the online gaming application instances. Use Spot Instances for the analytics application.

C.

Use Spot Instances for the online gaming application and the analytics application. Set up a catalog in AWS Service Catalog to provision services at a discount.

D.

Use On-Demand Instances for the online gaming application. Use Spot Instances for the analytics application. Set up a catalog in AWS Service Catalog to provision services at a discount.

Questions 127

A company runs an loT application in the AWS Cloud. The company has millions of sensors that collect data from houses in the United States. The sensors use the MOTT protocol to connect and send data to a custom MQTT broker. The MQTT broker stores the data on a single Amazon EC2 instance. The sensors connect to the broker through the domain named iot.example.com. The company uses Amazon Route 53 as its DNS service. The company stores the data in Amazon DynamoDB.

On several occasions, the amount of data has overloaded the MOTT broker and has resulted in lost sensor data. The company must improve the reliability of the solution.

Which solution will meet these requirements?

Options:
A.

Create an Application Load Balancer (ALB) and an Auto Scaling group for the MOTT broker. Use the Auto Scaling group as the target for the ALB. Update the DNS record in Route 53 to an alias record. Point the alias record to the ALB. Use the MQTT broker to store the data.

B.

Set up AWS loT Core to receive the sensor data. Create and configure a custom domain to connect to AWS loT Core. Update the DNS record in Route 53 to point to the AWS loT Core Data-ATS endpoint. Configure an AWS loT rule to store the data.

C.

Create a Network Load Balancer (NLB). Set the MQTT broker as the target. Create an AWS Global Accelerator accelerator. Set the NLB as the endpoint for the accelerator. Update the DNS record in Route 53 to a multivalue answer record. Set the Global Accelerator IP addresses as values. Use the MQTT broker to store the data.

D.

Set up AWS loT Greengrass to receive the sensor data. Update the DNS record in Route 53 to point to the AWS loT Greengrass endpoint. Configure an AWS loT rule to invoke an AWS Lambda function to store the data.

Questions 128

A company processes environment data. The has a set up sensors to provide a continuous stream of data from different areas in a city. The data is available in JSON format.

The company wants to use an AWS solution to send the data to a database that does not require fixed schemas for storage. The data must be send in real time.

Which solution will meet these requirements?

Options:
A.

Use Amazon Kinesis Data Firehouse to send the data to Amazon Redshift.

B.

Use Amazon Kinesis Data streams to send the data to Amazon DynamoDB.

C.

Use Amazon Managed Streaming for Apache Kafka (Amazon MSK) to send the data to Amazon Aurora.

D.

Use Amazon Kinesis Data firehouse to send the data to Amazon Keyspaces (for Apache Cassandra).

Questions 129

A company wants to containerize a multi-tier web application and move the application from an on-premises data center to AWS. The application includes web. application, and database tiers. The company needs to make the application fault tolerant and scalable. Some frequently accessed data must always be available across application servers. Frontend web servers need session persistence and must scale to meet increases in traffic.

Which solution will meet these requirements with the LEAST ongoing operational overhead?

Options:
A.

Run the application on Amazon Elastic Container Service (Amazon ECS) on AWS Fargate. Use Amazon Elastic File System (Amazon EFS) for data that is frequently accessed between the web and application tiers. Store the frontend web server session data in Amazon Simple Queue Service (Amazon SOS).

B.

Run the application on Amazon Elastic Container Service (Amazon ECS) on Amazon EC2. Use Amazon ElastiCache for Redis to cache frontend web server session data. Use Amazon Elastic Block Store (Amazon EBS) with Multi-Attach on EC2 instances that are distributed across multiple Availability Zones.

C.

Run the application on Amazon Elastic Kubernetes Service (Amazon EKS). Configure Amazon EKS to use managed node groups. Use ReplicaSets to run the web servers and applications. Create an Amazon Elastic File System (Amazon EFS) Me system. Mount the EFS file system across all EKS pods to store frontend web server session data.

D.

Deploy the application on Amazon Elastic Kubernetes Service (Amazon EKS) Configure Amazon EKS to use managed node groups. Run the web servers and application as Kubernetes deployments in the EKS cluster. Store the frontend web server session data in an Amazon DynamoDB table. Create an Amazon Elastic File System (Amazon EFS) volume that all applications will mount at the time of deployment.

Questions 130

A company is developing and hosting several projects in the AWS Cloud. The projects are developed across multiple AWS accounts under the same organization in AWS Organizations. The company requires the cost lor cloud infrastructure to be allocated to the owning project. The team responsible for all of the AWS accounts has discovered that several Amazon EC2 instances are lacking the Project tag used for cost allocation.

Which actions should a solutions architect take to resolve the problem and prevent it from happening in the future? (Select THREE.)

Options:
A.

Create an AWS Config rule in each account to find resources with missing tags.

B.

Create an SCP in the organization with a deny action for ec2:Runlnstances if the Project tag is missing.

C.

Use Amazon Inspector in the organization to find resources with missing tags.

D.

Create an IAM policy in each account with a deny action for ec2:RunInstances if the Project tag is missing.

E.

Create an AWS Config aggregator for the organization to collect a list of EC2 instances with the missing Project tag.

F.

Use AWS Security Hub to aggregate a list of EC2 instances with the missing Project tag.

Questions 131

A company plans to deploy a new private intranet service on Amazon EC2 instances inside a VPC. An AWS Site-to-Site VPN connects the VPC to the company's on-premises network. The new service must communicate with existing on-premises services The on-premises services are accessible through the use of hostnames that reside in the company example DNS zone This DNS zone is wholly hosted on premises and is available only on the company's private network.

A solutions architect must ensure that the new service can resolve hostnames on the company example domain to integrate with existing services.

Which solution meets these requirements?

Options:
A.

Create an empty private zone in Amazon Route 53 for company example Add an additional NS record to the company's on-premises company example zone that points to the authoritative name servers for the new private zone in Route 53

B.

Turn on DNS hostnames for the VPC Configure a new outbound endpoint with Amazon Route 53 Resolver. Create a Resolver rule to forward requests for company example to the on-premises name servers

C.

Turn on DNS hostnames for the VPC Configure a new inbound resolver endpointwith Amazon Route 53 Resolver. Configure the on-premises DNS server to forward requests for company example to the new resolver.

D.

Use AWS Systems Manager to configure a run document that will install a hosts file that contains any required hostnames. Use an Amazon EventBndge rule to run the document when an instance is entering the running state.

Questions 132

Question:

A company needs to migratesome Oracle databases to AWSwhile keeping otherson-premisesfor compliance. The on-prem databases containspatial dataand runcron jobs. The solution must allowquerying on-prem data as foreign tablesfrom AWS.

Options:
A.

Use DynamoDB, SCT, and Lambda. Move spatial data to S3 and query with Athena.

B.

Use RDS for SQL Server and AWS Glue crawlers for Oracle access.

C.

Use EC2-hosted Oracle with Application Migration Service. Use Step Functions for cron.

D.

Use RDS for PostgreSQL with DMS and SCT. Use PostgreSQL foreign data wrappers. Connectvia Direct Connect.

Questions 133

A company wants to migrate its data analytics environment from on premises to AWS The environment consists of two simple Node js applications One of the applications collects sensor data and loads it into a MySQL database The other application aggregates the data into reports When the aggregation jobs run. some of the load jobs fail to run correctly

The company must resolve the data loading issue The company also needs the migration to occur without interruptions or changes for the company's customers

What should a solutions architect do to meet these requirements?

Options:
A.

Set up an Amazon Aurora MySQL database as a replication target for the on-premises database Create an Aurora Replica for the Aurora MySQL database, and move the aggregation jobs to run against the Aurora Replica Set up collection endpomts as AWS Lambda functions behind a Network Load Balancer (NLB). and use Amazon RDS Proxy to wnte to the Aurora MySQL database When the databases are synced disable the replication job and restart the Aurora

B.

Set up an Amazon Aurora MySQL database Use AWS Database Migration Service (AWS DMS) to perform continuous data replication from the on-premises database to Aurora Move the aggregation jobs to run against the Aurora MySQL database Set up collection endpomts behind an Application Load Balancer (ALB) as Amazon EC2 instances in an Auto Scaling group When the databases are synced, point the collector DNS record to the ALB Disable the AWS DMS syn

C.

Set up an Amazon Aurora MySQL database Use AWS Database Migration Service (AWS DMS) to perform continuous data replication from the on-premises database to Aurora Create an AuroraReplica for the Aurora MySQL database and move the aggregation jobs to run against the Aurora Replica Set up collection endpoints as AWS Lambda functions behind an Application Load Balancer (ALB) and use Amazon RDS Proxy to write to the Aurora MySQL database When t

D.

Set up an Amazon Aurora MySQL database Create an Aurora Replica for the Aurora MySQL database and move the aggregation jobs to run against the Aurora Replica Set up collection endpoints as an Amazon Kinesis data stream Use Amazon Kinesis Data Firehose to replicate the data to the Aurora MySQL database When the databases are synced disable the replication job and restart the Aurora Replica as the primary instance Point the collector DNS reco

Questions 134

A company maintains information on premises in approximately 1 million .csv files that are hosted on a VM. The data initially is 10 TB in size and grows at a rate of 1 TB each week. The company needs to automate backups of the data to the AWS Cloud.

Backups of the data must occur daily. The company needs a solution that applies custom filters to back up only a subset of the data that is located in designated source directories. The company has set up an AWS Direct Connect connection.

Which solution will meet the backup requirements with the LEAST operational overhead?

Options:
A.

Use the Amazon S3 CopyObject API operation with multipart upload to copy the existing data to Amazon S3. Use the CopyObject API operation to replicate new data to Amazon S3 daily.

B.

Create a backup plan in AWS Backup to back up the data to Amazon S3. Schedule the backup plan to run daily.

C.

Install the AWS DataSync agent as a VM that runs on the on-premises hypervisor. Configure a DataSync task to replicate the data to Amazon S3 daily.

D.

Use an AWS Snowball Edge device for the initial backup. Use AWS DataSync for incremental backups to Amazon S3 daily.

Questions 135

A company wants to use AWS to create a business continuity solution in case the company's main on-premises application fails. The application runs on physical servers that also run other applications. The on-premises application that the company is planning to migrate uses a MySQL database as a data store. All the company's on-premises applications use operating systems that are compatible with Amazon EC2.

Which solution will achieve the company's goal with the LEAST operational overhead?

Options:
A.

Install the AWS Replication Agent on the source servers, including the MySQL servers. Set up replication for all servers. Launch test instances for regular drills. Cut over to the test instances to fail over the workload in the case of a failure event.

B.

Install the AWS Replication Agent on the source servers, including the MySQL servers. Initialize AWS Elastic Disaster Recovery in the target AWS Region. Define the launch settings. Frequently perform failover and fallback from the most recent point in time.

C.

Create AWS Database Migration Service (AWS DMS) replication servers and a target Amazon Aurora MySQL DB cluster to host the database. Create a DMS replication task to copy the existing data to the target DB cluster. Create a local AWS Schema Conversion Tool (AWS SCT) change data capture (CDC) task to keep the data synchronized. Install the rest of the software on EC2 instances by starting with a compatible base AMI.

D.

Deploy an AWS Storage Gateway Volume Gateway on premises. Mount volumes on all on-premises servers. Install the application and the MySQL database on the new volumes. Take regular snapshots. Install all the software on EC2 Instances by starting with a compatible base AMI. Launch a Volume Gateway on an EC2 instance. Restore the volumes from the latest snapshot. Mount the new volumes on the EC2 instances in the case of a failure event.

Exam Code: SAP-C02
Certification Provider: Amazon Web Services
Exam Name: AWS Certified Solutions Architect - Professional
Last Update: Oct 30, 2025
Questions: 569

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