A company has built an application that uses an Amazon Simple Queue Service (Amazon SQS) standard queue and an AWS Lambda function. The Lambda function writes messages to the SQS queue. The company needs a solution to ensure that the consumer of the SQS queue never receives duplicate messages.
Which solution will meet this requirement with the FEWEST changes to the current architecture?
A. Modify the SQS queue to enable long polling for the queue. B. Delete the existing SQS queue. Recreate the queue as a FIFO queue. Enable content-based deduplication for the queue. C. Modify the SQS queue to enable content-based deduplication for the queue. D. Delete the SQS queue. Create an Amazon MQ message broker. Configure the broker to deduplicate messages.
B. Delete the existing SQS queue. Recreate the queue as a FIFO queue. Enable content-based deduplication for the queue.
Explanation
SQS Standard queues provide at-least-once delivery; they can, by design, deliver duplicate messages, and you cannot turn that off.
To guarantee no duplicates to consumers, AWS provides SQS FIFO queues with exactly-once processing semantics in conjunction with deduplication.
The minimal change to achieve this behavior is to:
Recreate the queue as a FIFO queue and Enable content-based deduplication, so SQS automatically deduplicates messages with identical bodies within the deduplication window.
Why others are not correct:
Option A: Long polling reduces empty responses and costs but does not eliminate duplicates.
Option C: Content-based deduplication is available only for FIFO queues, not for standard queues--so you cannot "modify" a standard queue this way.
Option D: Moving to Amazon MQ is a much bigger architectural change and adds more operational overhead; it's not the "fewest changes" approach.
Question 1462:
A company is developing a marketing communications service that targets mobile app users. The company needs to send confirmation messages with Short Message Service (SMS) to its users. The users must be able to reply to the SMS messages.
The company must store the responses for a year for analysis.
What should a solutions architect do to meet these requirements?
A. Create an Amazon Connect contact flow to send the SMS messages. Use AWS Lambda to process the responses. B. Build an Amazon Pinpoint journey. Configure Amazon Pinpoint to send events to an Amazon Kinesis data stream for analysis and archiving. C. Use Amazon Simple Queue Service (Amazon SQS) to distribute the SMS messages. Use AWS Lambda to process the responses. D. Create an Amazon Simple Notification Service (Amazon SNS) FIFO topic. Subscribe an Amazon Kinesis data stream to the SNS topic for analysis and archiving.
B. Build an Amazon Pinpoint journey. Configure Amazon Pinpoint to send events to an Amazon Kinesis data stream for analysis and archiving.
Question 1463:
A company must follow strict regulations for the management of data encryption keys. The company manages its own key externally and imports the key into AWS Key Management Service (AWS KMS). The company must control the imported key material and must rotate the key material on a regular schedule.
A solutions architect needs to import the key material into AWS KMS and rotate the key without interrupting applications that use the key.
Which solution will meet these requirements?
A. Create a new AWS KMS key that has the same key ID as the existing key. Import new key material into the key. B. Schedule the existing AWS KMS key for deletion. Create a new KMS key that has new key material. C. Import new key material into the existing AWS KMS key. Set an expiration time for the old key material. D. Enable automatic key rotation for the existing AWS KMS key.
C. Import new key material into the existing AWS KMS key. Set an expiration time for the old key material.
Explanation
When using imported key material with AWS KMS, you maintain control over the key lifecycle. AWS KMS allows you to import new key material into an existing KMS key (of type " external " or " imported " ), thus rotating the key material without changing the key ID or ARNs. This enables applications to continue using the same key for cryptographic operations without disruption.
You can also set an expiration time for the old key material, after which AWS KMS deletes the old material and requires new key material to be imported, enforcing regular rotation per your compliance requirements.
Other options:
Option A: You cannot create a new KMS key with the same key ID as an existing one.
Option B: Deleting and recreating the key disrupts application access because the key ID changes.
Option D: Automatic rotation is only available for AWS-managed keys, not for imported key material.
References:
AWS Certified Solutions Architect?Official Study Guide, KMS and Key Rotation Section.
Question 1464:
A university research laboratory needs to migrate 30 TB of data from an on-premises Windows file server to Amazon FSx for Windows File Server. The laboratory has a 1 Gbps network link that many other departments in the university share. The laboratory wants to implement a data migration service that will maximize the performance of the data transfer. However, the laboratory needs to be able to control the amount of bandwidth that the service uses to minimize the impact on other departments. The data migration must take place within the next 5 days.
Which AWS solution will meet these requirements?
A. AWS Snowcone B. Amazon FSx File Gateway C. AWS DataSync D. AWS Transfer Family
C. AWS DataSync
Question 1465:
A company runs a monolithic application in its on-premises data center. The company used Java/Tomcat to build the application. The application uses Microsoft SQL Server as a database.
The company wants to migrate the application to AWS.
Which solution will meet this requirement with the LEAST operational overhead?
A. Use AWS App2Container to containerize the application. Deploy the application on Amazon Elastic Kubernetes Service (Amazon EKS). Deploy the database to Amazon RDS for SQL Server. Configure a Multi-AZ deployment. B. Containerize the application and deploy the application on a self-managed Kubernetes cluster on an Amazon EC2 instance. Deploy the database on a separate EC2 instance. Set up Microsoft SQL Server Always On availability groups. C. Deploy the frontend of the web application as a website on Amazon S3. Use Amazon DynamoDB for the database tier. D. Use AWS App2Container to containerize the application. Deploy the application on Amazon Elastic Kubernetes Service (Amazon EKS). Use Amazon DynamoDB for the database tier.
A. Use AWS App2Container to containerize the application. Deploy the application on Amazon Elastic Kubernetes Service (Amazon EKS). Deploy the database to Amazon RDS for SQL Server. Configure a Multi-AZ deployment.
Explanation
AWS App2Container is a command-line tool that helps containerize existing Java and.NET applications running on-premises or on virtual machines, with minimal refactoring. By using Amazon EKS, the company benefits from a managed Kubernetes service, which significantly reduces the operational overhead compared to managing Kubernetes on EC2.
Amazon RDS for SQL Server provides a fully managed SQL Server database engine with automated backups, patching, and high availability through Multi-AZ deployments. This eliminates the need for the company to manage database infrastructure and software manually.
Overall, option A provides the most streamlined and managed approach for both the application and database layers with the least operational effort.
Question 1466:
A company has a regional subscription-based streaming service that runs in a single AWS Region. The architecture consists of web servers and application servers on Amazon EC2 instances. The EC2 instances are in Auto Scaling groups behind Elastic Load Balancers. The architecture includes an Amazon Aurora global database cluster that extends across multiple Availability Zones.
The company wants to expand globally and to ensure that its application has minimal downtime.
Which solution will provide the MOST fault tolerance?
A. Extend the Auto Scaling groups for the web tier and the application tier to deploy instances in Availability Zones in a second Region. Use an Aurora global database to deploy the database in the primary Region and the second Region. Use Amazon Route 53 health checks with a failover routing policy to the second Region. B. Deploy the web tier and the application tier to a second Region. Add an Aurora PostgreSQL cross-Region Aurora Replica in the second Region. Use Amazon Route 53 health checks with a failover routing policy to the second Region. Promote the secondary to primary as needed. C. Deploy the web tier and the application tier to a second Region. Create an Aurora PostgreSQL database in the second Region. Use AWS Database Migration Service (AWS DMS) to replicate the primary database to the second Region. Use Amazon Route 53 health checks with a failover routing policy to the second Region. D. Deploy the web tier and the application tier to a second Region. Use an Amazon Aurora global database to deploy the database in the primary Region and the second Region. Use Amazon Route 53 health checks with a failover routing policy to the second Region. Promote the secondary to primary as needed.
D. Deploy the web tier and the application tier to a second Region. Use an Amazon Aurora global database to deploy the database in the primary Region and the second Region. Use Amazon Route 53 health checks with a failover routing policy to the second Region. Promote the secondary to primary as needed.
Question 1467:
A company runs an Oracle database on premises. As part of the company's migration to AWS, the company wants to upgrade the database to the most recent available version. The company also wants to set up disaster recovery (DR) for the database. The company needs to minimize the operational overhead for normal operations and DR setup. The company also needs to maintain access to the database's underlying operating system.
Which solution will meet these requirements?
A. Migrate the Oracle database to an Amazon EC2 instance. Set up database replication to a different AWS Region. B. Migrate the Oracle database to Amazon RDS for Oracle. Activate Cross-Region automated backups to replicate the snapshots to another AWS Region. C. Migrate the Oracle database to Amazon RDS Custom for Oracle. Create a read replica for the database in another AWS Region. D. Migrate the Oracle database to Amazon RDS for Oracle. Create a standby database in another Availability Zone.
C. Migrate the Oracle database to Amazon RDS Custom for Oracle. Create a read replica for the database in another AWS Region.
Question 1468:
A solutions architect has created an AWS Lambda function that is written in Java. A company will use the Lambda function as a new microservice for its application. The company's customers must be able to call an HTTPS endpoint to reach the microservice. The microservice must use AWS Identity and Access Management (IAM) to authenticate calls.
Which solution will meet these requirements?
A. Create an Amazon API Gateway REST API. Configure an API method to use the Lambda function. Create a second Lambda function that is configured as an authorizer. B. Create an AWS Lambda function URL for the Lambda function. Specify AWS_IAM as the authentication type. C. Create an Amazon CloudFront distribution. Deploy the Lambda function to Lambda@Edge. Integrate IAM authentication logic into the Lambda@Edge function. D. Create an Amazon CloudFront distribution. Deploy the Lambda function to CloudFront Functions. Specify AWS_IAM as the authentication type.
B. Create an AWS Lambda function URL for the Lambda function. Specify AWS_IAM as the authentication type.
Explanation
Comprehensive and Detailed 250 to 300 words of Explanation (AWS documentation-based, no links): The requirements are straightforward: expose the Lambda microservice through an HTTPS endpoint and authenticate calls using IAM. Lambda function URLs are a built-in feature that provides a dedicated HTTPS endpoint for a Lambda function without requiring API Gateway, ALB, or CloudFront. When configured with the authentication type AWS_IAM, the endpoint requires requests to be signed with AWS Signature Version 4 and authorized by IAM policies. This directly satisfies the "must use IAM to authenticate calls" requirement with the least architectural complexity. Option A can also secure an endpoint with IAM, but it proposes using a Lambda authorizer, which is typically used for custom authorizers (JWT/OAuth/Cognito/external identity). For IAM authentication in API Gateway, you generally use IAM authorization on the method, not an authorizer function. Also, API Gateway REST APIs introduce additional service configuration and per-request costs when a simpler managed option exists that meets the requirements.
Options C and D are not appropriate. Lambda@Edge and CloudFront Functions run at CloudFront edge locations with different programming and deployment models; they are designed for CDN request/ response manipulation, not as the primary mechanism to expose a regional Lambda microservice endpoint with IAM authentication. CloudFront Functions in particular is for lightweight JavaScript at the edge and does not provide a native "AWS_IAM authentication type" for invoking an origin Lambda as a microservice endpoint.
Therefore, B is the cleanest and most secure fit: a native HTTPS endpoint backed by Lambda, protected with IAM-based SigV4 authentication.
Question 1469:
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?
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.
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.
Explanation
ECS with Fargate: Allows containerized workloads to scale rapidly without managing underlying servers, handling unpredictable growth effectively.
RDS for Relational Data: Manages large relational datasets efficiently while supporting high availability.
SQS for Decoupling: Ensures message processing occurs in a specific order, decoupling application components and allowing independent evolution.
AWS ECS with Fargate Documentation,AWS SQS Documentation
Question 1470:
A company has deployed its newest product on AWS. The product runs in an Auto Scaling group behind a Network Load Balancer. The company stores the product's objects in an Amazon S3 bucket. The company recently experienced malicious attacks against its systems. The company needs a solution that continuously monitors for malicious activity in the AWS account, workloads, and access patterns to the S3 bucket. The solution must also report suspicious activity and display the information on a dashboard.
Which solution will meet these requirements?
A. Configure Amazon Macie to monitor and report findings to AWS Config. B. Configure Amazon Inspector to monitor and report findings to AWS CloudTrail. C. Configure Amazon GuardDuty to monitor and report findings to AWS Security Hub. D. Configure AWS Config to monitor and report findings to Amazon EventBridge.
C. Configure Amazon GuardDuty to monitor and report findings to AWS Security Hub.
Nowadays, the certification exams become more and more important and required by more and more
enterprises when applying for a job. But how to prepare for the exam effectively? How to prepare
for the exam in a short time with less efforts? How to get a ideal result and how to find the
most reliable resources? Here on Vcedump.com, you will find all the answers.
Vcedump.com provide not only Amazon exam questions,
answers and explanations but also complete assistance on your exam preparation and certification
application. If you are confused on your SAA-C03 exam preparations
and Amazon certification application, do not hesitate to visit our
Vcedump.com to find your solutions here.