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SAA-C03 Exam Dumps - Amazon Web Services AWS Certified Associate Questions and Answers

Question # 4

A company is planning to migrate an on-premises online transaction processing (OLTP) database that uses MySQL to an AWS managed database management system. Several reporting and analytics applications use the on-premises database heavily on weekends and at the end of each month. The cloud-based solution must be able to handle read-heavy surges during weekends and at the end of each month.

Which solution will meet these requirements?

Options:

A.

Migrate the database to an Amazon Aurora MySQL cluster. Configure Aurora Auto Scaling to use replicas to handle surges.

B.

Migrate the database to an Amazon EC2 instance that runs MySQL. Use an EC2 instance type that has ephemeral storage. Attach Amazon EBS Provisioned IOPS SSD (io2) volumes to the instance.

C.

Migrate the database to an Amazon RDS for MySQL database. Configure the RDS for MySQL database for a Multi-AZ deployment, and set up auto scaling.

D.

Migrate from the database to Amazon Redshift. Use Amazon Redshift as the database for both OLTP and analytics applications.

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Question # 5

A company uses Amazon Redshift to store structured data and Amazon S3 to store unstructured data. The company wants to analyze the stored data and create business intelligence reports. The company needs a data visualization solution that is compatible with Amazon Redshift and Amazon S3.

Which solution will meet these requirements?

Options:

A.

Use Amazon Redshift query editor v2 to analyze data stored in Amazon Redshift. Use Amazon Athena to analyze data stored in Amazon S3. Use Amazon QuickSight to access Amazon Redshift and Athena, visualize the data analyses, and create business intelligence reports.

B.

Use Amazon Redshift Serverless to analyze data stored in Amazon Redshift. Use Amazon S3 Object Lambda to analyze data stored in Amazon S3. Use Amazon Managed Grafana to access Amazon Redshift and Object Lambda, visualize the data analyses, and create business intelligence reports.

C.

Use Amazon Redshift Spectrum to analyze data stored in Amazon Redshift. Use Amazon Athena to analyze data stored in Amazon S3. Use Amazon QuickSight to access Amazon Redshift and Athena, visualize the data analyses, and create business intelligence reports.

D.

Use Amazon OpenSearch Service to analyze data stored in Amazon Redshift and Amazon S3. Use Amazon Managed Grafana to access OpenSearch Service, visualize the data analyses, and create business intelligence reports.

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Question # 6

Question:

A company recently migrated a large amount of research data to an Amazon S3 bucket. The company needs an automated solution to identify sensitive data in the bucket. A security team also needs to monitor access patterns for the data 24 hours a day, 7 days a week to identify suspicious activities or evidence of tampering with security controls.

Options:

Options:

A.

Set up AWS CloudTrail reporting, and grant the security team read-only access to the CloudTrail reports. Set up an Amazon S3 Inventory report to identify sensitive data. Review the findings with the security team.

B.

Enable Amazon Macie and Amazon GuardDuty on the account. Grant the security team access to Macie and GuardDuty. Review the findings with the security team.

C.

Set up an Amazon S3 Inventory report. Use Amazon Athena and Amazon QuickSight to identify sensitive data. Create a dashboard for the security team to review findings.

D.

Use AWS Identity and Access Management (IAM) Access Advisor to monitor for suspicious activity and tampering. Create a dashboard for the security team. Set up an Amazon S3 Inventory report to identify sensitive data. Review the findings with the security team.

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Question # 7

A company is using an AWS Lambda function in a VPC. The Lambda function needs to access dependencies that exceed the size of the Lambda layer quota. The data that the Lambda function retrieves must be encrypted in transit.

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

Options:

A.

Store the dependencies in an Amazon Elastic File System (Amazon EFS) file system. Mount the file system to the Lambda function. Retrieve the dependencies from the file system.

B.

Store the dependencies on an Amazon EC2 instance that has an instance store volume and web server software. Use HTTPS API calls to retrieve the dependencies each time the Lambda function runs.

C.

Store the dependencies on an Amazon EC2 instance that hosts an NFS file server. Read the files from the EC2 instance each time the Lambda function runs.

D.

Store the dependencies in two separate Lambda layers. Redesign the application to have two Lambda functions that use different Lambda layers.

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Question # 8

A company wants to design a microservices architecture for an application. Each microservice must perform operations that can be completed within 30 seconds.

The microservices need to expose RESTful APIs and must automatically scale in response to varying loads. The APIs must also provide client access control and rate limiting to maintain equitable usage and service availability.

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

Options:

A.

Use Amazon Elastic Container Service (Amazon ECS) on Amazon EC2 to host each microservice. Use Amazon API Gateway to manage the RESTful API requests.

B.

Deploy each microservice as a set of AWS Lambda functions. Use Amazon API Gateway to manage the RESTful API requests.

C.

Host each microservice on Amazon EC2 instances in Auto Scaling groups behind an Elastic Load Balancing (ELB) load balancer. Use the ELB to manage the RESTful API requests.

D.

Deploy each microservice on Amazon Elastic Beanstalk. Use Amazon CloudFront to manage the RESTful API requests.

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Question # 9

A global company is migrating its workloads from an on-premises data center to AWS. The AWS environment includes multiple AWS accounts. IAM roles. AWS Config rules, and a VPC.

The company wants an automated process to provision new accounts on demand when the company's business units require new accounts.

Which solution will meet these requirements with LEAST effort?

Options:

A.

Use AWS Control Tower to set up an organization in AWS Organizations. Use AWS Control Tower Account Factory for Terraform (AFT) to provision new AWS accounts.

B.

Create an organization in AWS Organizations. Use the AWS CLI CreateAccount API action to provision new AWS accounts. Organize the business units with organizational units (OUs).

C.

Create an AWS Lambda function that uses the AWS Organizations API to create new accounts. Invoke the Lambda function from an AWS CloudFormation template in AWS Service Catalog.

D.

Create an organization in AWS Organizations. Use AWS Step Functions to orchestrate the account creation process. Send account creation requests to an Amazon API Gateway API endpoint to invoke an AWS Lambda function that creates new accounts.

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Question # 10

A company runs game applications on AWS. The company needs to collect, visualize, and analyze telemetry data from the company's game servers. The company wants to gain insights into the behavior, performance, and health of game servers in near real time. Which solution will meet these requirements?

Options:

A.

Use Amazon Kinesis Data Streams to collect telemetry data. Use Amazon Managed Service for Apache Flink to process the data in near real time and publish custom metrics to Amazon CloudWatch. Use Amazon CloudWatch to create dashboards and alarms from the custom metrics.

B.

Use Amazon Data Firehose to collect, process, and store telemetry data in near real time. Use AWS Glue to extract, transform, and load (ETL) data from Firehose into required formats for analysis. Use Amazon QuickSight to visualize and analyze the data.

C.

Use Amazon Kinesis Data Streams to collect, process, and store telemetry data. Use Amazon EMR to process the data in near real time into required formats for analysis. Use Amazon Athena to analyze and visualize the data.

D.

Use Amazon DynamoDB Streams to collect and store telemetry data. Configure DynamoDB Streams to invoke AWS Lambda functions to process the data in near real time. Use Amazon Managed Grafana to visualize and analyze the data.

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Question # 11

A company is developing a social media application. The company anticipates rapid and unpredictable growth in users and data volume. The application needs to handle a continuous high volume of user requests. User requests include long-running processes that store large amounts of user-generated content and user profiles in a relational format. The processes must run in a specific order. The company requires an architecture that can scale resources to meet demand spikes without downtime or performance degradation. The company must ensure that the components of the application can evolve independently without affecting other parts of the system. Which combination of AWS services will meet these requirements?

Options:

A.

Deploy the application on Amazon Elastic Container Service (Amazon ECS) with the AWS Fargate launch type. Use Amazon RDS as the database. Use Amazon Simple Queue Service (Amazon SQS) to decouple message processing between components.

B.

Deploy the application on Amazon Elastic Container Service (Amazon ECS) with the AWS Fargate launch type. Use Amazon RDS as the database. Use Amazon Simple Notification Service (Amazon SNS) to decouple message processing between components.

C.

Use Amazon DynamoDB as the database. Use AWS Lambda functions to implement the application. Configure Amazon DynamoDB Streams to invoke the Lambda functions. Use AWS Step Functions to manage workflows between services.

D.

Use an AWS Elastic Beanstalk environment with auto scaling to deploy the application. Use Amazon RDS as the database. Use Amazon Simple Notification Service (Amazon SNS) to decouple message processing between components.

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Question # 12

A company stores petabytes of historical medical information on premises. The company has a process to manage encryption of the data to comply with regulations. The company needs a cloud-based solution for data backup, recovery, and archiving. The company must retain control over the encryption key material. Which combination of solutions will meet these requirements? (Select TWO.)

Options:

A.

Create an AWS Key Management Service (AWS KMS) key without key material. Import the company's key material into the KMS key.

B.

Create an AWS Key Management Service (AWS KMS) encryption key that contains key material generated by AWS KMS.

C.

Store the data in Amazon S3 Standard-Infrequent Access (S3 Standard-IA) storage. Use S3 Bucket Keys with AWS Key Management Service (AWS KMS) keys.

D.

Store the data in an Amazon S3 Glacier storage class. Use server-side encryption with customer-provided keys (SSE-C).

E.

Store the data in AWS Snowball devices. Use server-side encryption with AWS KMS keys (SSE-KMS).

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Question # 13

A company needs a solution to prevent photos with unwanted content from being uploaded to the company’s web application. The solution must not involve training a machine learning (ML) model.

Which solution will meet these requirements?

Options:

A.

Create and deploy a model by using Amazon SageMaker Autopilot. Create a real-time endpoint that the web application invokes when new photos are uploaded.

B.

Create an AWS Lambda function that uses Amazon Rekognition to detect unwanted content. Create a Lambda function URL that the web application invokes when new photos are uploaded.

C.

Create an Amazon CloudFront function that uses Amazon Comprehend to detect unwanted content. Associate the function with the web application.

D.

Create an AWS Lambda function that uses Amazon Rekognition Video to detect unwanted content. Create a Lambda function URL that the web application invokes when new photos are uploaded.

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Question # 14

A company runs a Microsoft Windows SMB file share on-premises to support an application. The company wants to migrate the application to AWS. The company wants to share storage across multiple Amazon EC2 instances.

Which solutions will meet these requirements with the LEAST operational overhead? (Select TWO.)

Options:

A.

Create an Amazon Elastic File System (Amazon EFS) file system with elastic throughput.

B.

Create an Amazon FSx for NetApp ONTAP file system.

C.

Use Amazon Elastic Block Store (Amazon EBS) to create a self-managed Windows file share on the instances.

D.

Create an Amazon FSx for Windows File Server file system.

E.

Create an Amazon FSx for OpenZFS file system.

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Question # 15

A company wants to isolate its workloads by creating an AWS account for each workload. The company needs a solution that centrally manages networking components for the workloads. The solution also must create accounts with automatic security controls (guardrails).

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

Options:

A.

Use AWS Control Tower to deploy accounts. Create a networking account that has a VPC with private subnets and public subnets. Use AWS Resource Access Manager (AWS RAM) to share the subnets with the workload accounts.

B.

Use AWS Organizations to deploy accounts. Create a networking account that has a VPC with private subnets and public subnets. Use AWS Resource Access Manager (AWS RAM) to share the subnets with the workload accounts.

C.

Use AWS Control Tower to deploy accounts. Deploy a VPC in each workload account. Configure each VPC to route through an inspection VPC by using a transit gateway attachment.

D.

Use AWS Organizations to deploy accounts. Deploy a VPC in each workload account. Configure each VPC to route through an inspection VPC by using a transit gateway attachment.

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Question # 16

A company has an organization in AWS Organizations that has all features enabled. The company has multiple Amazon S3 buckets in multiple AWS Regions around the world. The S3 buckets contain sensitive data.

The company needs to ensure that no personally identifiable information (PII) is stored in the S3 buckets. The company also needs a scalable solution to identify PII.

Which solution will meet these requirements?

Options:

A.

In the Organizations management account, configure an Amazon Macie administrator IAM user as the delegated administrator for the global organization. Use the Macie administrator user to configure Macie settings to scan for PII.

B.

For each Region in the Organizations management account, designate a delegated Amazon Macie administrator account. In the Macie administrator account, add all accounts in the organization. Use the Macie administrator account to enable Macie. Configure automated sensitive data discovery for all accounts in the organization.

C.

For each Region in the Organizations management account, configure a service control policy (SCP) to identify PII. Apply the SCP to the organization root.

D.

In the Organizations management account, configure AWS Lambda functions to scan for PII in each Region.

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Question # 17

A solutions architect has created an AWS Lambda function that makes queries to an Amazon Aurora MySQL DB instance. When the solutions architect performs a test, the DB instance shows an error for too many connections.

Which solution will meet these requirements with the LEAST operational effort?

Options:

A.

Create a read replica for the DB instance. Query the replica DB instance instead of the primary DB instance.

B.

Migrate the data to an Amazon DynamoDB database.

C.

Configure the Amazon Aurora MySQL DB instance for Multi-AZ deployment.

D.

Create a proxy in Amazon RDS Proxy. Query the proxy instead of the DB instance.

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Question # 18

A company is migrating a large amount of data from on-premises storage to AWS. Windows, Mac, and Linux based Amazon EC2 instances in the same AWS Region will access the data by using SMB and NFS storage protocols. The company will access a portion of the data routinely. The company will access the remaining data infrequently.

The company needs to design a solution to host the data.

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

Options:

A.

Create an Amazon Elastic File System (Amazon EFS) volume that uses EFS Intelligent-Tiering. Use AWS DataSync to migrate the data to the EFS volume.

B.

Create an Amazon FSx for ONTAP instance. Create an FSx for ONTAP file system with a root volume that uses the auto tiering policy. Migrate the data to the FSx for ONTAP volume.

C.

Create an Amazon S3 bucket that uses S3 Intelligent-Tiering. Migrate the data to the S3 bucket by using an AWS Storage Gateway Amazon S3 File Gateway.

D.

Create an Amazon FSx for OpenZFS file system. Migrate the data to the new volume.

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Exam Code: SAA-C03
Exam Name: AWS Certified Solutions Architect - Associate (SAA-C03)
Last Update: Nov 8, 2025
Questions: 576
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