The latest AWS Certified Solutions Architect – Associate SAA-C03 certification actual real practice exam question and answer (Q&A) dumps are available free, which are helpful for you to pass the AWS Certified Solutions Architect – Associate SAA-C03 exam and earn AWS Certified Solutions Architect – Associate SAA-C03 certification.
Question 1121
Exam Question
A bicycle sharing company is developing a multi-tier architecture to track the location of its bicycles during peak operating hours. The company wants to use these data points in its existing analytics platform. A solutions architect must determine the most viable multi-tier option to support this architecture. The data points must be accessible from the REST API.
Which action meets these requirements for storing and retrieving location data?
A. Use Amazon Athena with Amazon S3.
B. Use Amazon API Gateway with AWS Lambda.
C. Use Amazon QuickSight with Amazon Redshift.
D. Use Amazon API Gateway with Amazon Kinesis Data Analytics.
Correct Answer
B. Use Amazon API Gateway with AWS Lambda.
Explanation
To store and retrieve location data in a multi-tier architecture and make it accessible from a REST API, the most viable option is:
B. Use Amazon API Gateway with AWS Lambda.
Amazon API Gateway is a fully managed service that makes it easy to create, deploy, and manage APIs. It can integrate with AWS Lambda, which allows you to run code without provisioning or managing servers. By using Amazon API Gateway with AWS Lambda, you can build a REST API that can handle incoming requests and trigger Lambda functions to process and retrieve the location data.
Option A, using Amazon Athena with Amazon S3, is a query service for analyzing data in Amazon S3. While it can be used to query and analyze location data, it does not provide a direct integration with a REST API.
Option C, using Amazon QuickSight with Amazon Redshift, is a business intelligence service that allows you to create visualizations and perform analytics on data stored in Amazon Redshift. While it can be used for analyzing the location data, it does not provide a direct integration with a REST API.
Option D, using Amazon API Gateway with Amazon Kinesis Data Analytics, is not the most suitable option for storing and retrieving location data. Amazon Kinesis Data Analytics is primarily used for real-time data processing and analytics, which may not be the primary requirement for the bicycle sharing company’s use case.
Question 1122
Exam Question
A company’s website provides users with downloadable historical performance reports. The website needs a solution that will scale to meet the company’s website demands globally. The solution should be cost effective, limit the provisioning of infrastructure resources and provide the fastest possible response time.
Which combination should a solutions architect recommend to meet these requirements?
A. Amazon CloudFront and Amazon S3
B. AWS Lambda and Amazon DynamoDB
C. Application Load Balancer with Amazon EC2 Auto Scaling
D. Amazon Route 53 with internal Application Load Balances
Correct Answer
A. Amazon CloudFront and Amazon S3
Explanation
To meet the requirements of a scalable, cost-effective, and fast website with global reach, the recommended combination is:
A. Amazon CloudFront and Amazon S3.
Amazon CloudFront is a global content delivery network (CDN) service that caches and delivers content from edge locations close to end users. By using CloudFront, the website’s performance can be significantly improved by reducing latency and increasing the speed of content delivery. CloudFront can also handle high traffic loads and scale automatically to meet demand.
Amazon S3 (Simple Storage Service) can be used to store the downloadable historical performance reports. S3 provides durable and highly available object storage with low latency access. By hosting the reports in S3, they can be easily retrieved and served to users through CloudFront, which caches and delivers the content globally.
Option B, AWS Lambda and Amazon DynamoDB, is not the best fit for serving downloadable reports. AWS Lambda is a serverless compute service that can be used for executing code in response to events, but it is not optimized for serving static files. Amazon DynamoDB is a NoSQL database service and may not be the ideal choice for storing and serving downloadable files.
Option C, Application Load Balancer with Amazon EC2 Auto Scaling, is focused on scaling web applications by distributing traffic to multiple EC2 instances. While it can handle scalability, it does not provide the global reach and caching capabilities of Amazon CloudFront.
Option D, Amazon Route 53 with internal Application Load Balancers, is primarily a DNS service and internal load balancing solution, which may not address the global scalability and performance requirements of the website.
Therefore, option A, Amazon CloudFront and Amazon S3, is the recommended combination to meet the specified requirements.
Question 1123
Exam Question
A solutions architect needs to design a managed storage solution for a company’s application that includes high-performance machine learning. This application runs on AWS Fargate, and the connected storage needs to have concurrent access to files and deliver high performance.
Which storage option should the solutions architect recommend?
A. Create an Amazon S3 bucket for the application and establish an IAM role for Fargate to communicate with Amazon S3.
B. Create an Amazon FSx for Lustre file share and establish an IAM role that allows Fargate to communicate with FSx for Lustre.
C. Create an Amazon Elastic File System (Amazon EFS) file share and establish an IAM role that allows Fargate to communicate with Amazon EFS.
D. Create an Amazon Elastic Block Store (Amazon EBS) volume for the application and establish an IAM role that allows Fargate to communicate with Amazon EBS.
Correct Answer
B. Create an Amazon FSx for Lustre file share and establish an IAM role that allows Fargate to communicate with FSx for Lustre.
Explanation
The recommended storage option for the application running on AWS Fargate that requires concurrent access to files and high performance is:
B. Create an Amazon FSx for Lustre file share and establish an IAM role that allows Fargate to communicate with FSx for Lustre.
Amazon FSx for Lustre is a fully managed, high-performance file system optimized for workloads that require high levels of concurrent access to data. It is well-suited for machine learning applications that demand high-performance storage. With FSx for Lustre, you can achieve low latencies and high throughput, making it ideal for running high-performance applications.
By creating an Amazon FSx for Lustre file share, you can provide the required storage to the application and allow Fargate to communicate with the file share using an IAM role. This ensures that the application running on Fargate has the necessary permissions to access and interact with the file share.
Options A, C, and D are not the best choices for this scenario. Amazon S3 is an object storage service and may not provide the required performance and concurrent access for the application. Amazon EFS is a managed file system, but it may not offer the same level of performance as FSx for Lustre for high-performance machine learning workloads. Amazon EBS is block storage and may not provide the required concurrent access and performance for the application.
Therefore, option B, Amazon FSx for Lustre file share, is the recommended storage option for this scenario.
Question 1124
Exam Question
A company is running a two-tier ecommerce website using services. The current architect uses a publish-facing Elastic Load Balancer that sends traffic to Amazon EC2 instances in a private subnet. The static content is hosted on EC2 instances, and the dynamic content is retrieved from a MYSQL database. The application is running in the United States. The company recently started selling to users in Europe and Australia. A solution architect needs to design a solution so their international users have an improved browsing experience.
Which solution is MOST cost-effective?
A. Host the entire website on Amazon S3.
B. Use Amazon CloudFront and Amazon S3 to host static images.
C. Increase the number of public load balancers and EC2 instances.
D. Deploy the two-tier website in AWS Regions in Europe and Australia.
Correct Answer
B. Use Amazon CloudFront and Amazon S3 to host static images.
Explanation
The most cost-effective solution to improve the browsing experience for international users of the ecommerce website is:
B. Use Amazon CloudFront and Amazon S3 to host static images.
By leveraging Amazon CloudFront, a global content delivery network (CDN), along with Amazon S3 to host static images, you can significantly improve the performance and latency for users accessing the website from different regions. CloudFront caches content at edge locations around the world, reducing the distance between the users and the content, resulting in faster delivery.
In this solution, the dynamic content retrieval from the MySQL database remains unchanged. However, by offloading the hosting of static images to Amazon S3 and serving them through CloudFront, you can benefit from the global network of edge locations and reduce the latency for international users.
Option A, hosting the entire website on Amazon S3, may not be suitable for a two-tier ecommerce website that requires dynamic content retrieval from a MySQL database.
Option C, increasing the number of public load balancers and EC2 instances, might improve scalability but may not directly address the latency and performance issues experienced by international users.
Option D, deploying the two-tier website in AWS Regions in Europe and Australia, can improve performance by reducing the network latency for users in those regions. However, it may involve additional infrastructure costs and operational complexity compared to using CloudFront and S3.
Therefore, option B, using Amazon CloudFront and Amazon S3 to host static images, is the most cost-effective solution to improve the browsing experience for international users.
Question 1125
Exam Question
A company built a food ordering application that captures user data and stores it for future analysis. The application’s static front end is deployed on an Amazon EC2 instance. The front-end application sends the requests to the backend application running on a separate EC2 instance. The backend application then stores the data in Amazon RDS.
What should a solutions architect do to decouple the architecture and make it scalable?
A. Use Amazon S3 to serve the front-end application, which sends requests to Amazon EC2 to execute the backend application. The backend application will process and store the data in Amazon RDS.
B. Use Amazon S3 to serve the front-end application and write requests to an Amazon Simple Notification Service (Amazon SNS) topic. Subscribe Amazon EC2 instances to the HTTP/HTTPS endpoint of the topic, and process and store the data in Amazon RDS.
C. Use an EC2 instance to serve the front end and write requests to an Amazon SQS queue. Place the backend instance in an Auto Scaling group, and scale based on the queue depth to process and store the data in Amazon RDS.
D. Use Amazon S3 to serve the static front-end application and send requests to Amazon API Gateway, which writes the requests to an Amazon SQS queue. Place the backend instances in an Auto Scaling group, and scale based on the queue depth to process and store the data in Amazon RDS.
Correct Answer
D. Use Amazon S3 to serve the static front-end application and send requests to Amazon API Gateway, which writes the requests to an Amazon SQS queue. Place the backend instances in an Auto Scaling group, and scale based on the queue depth to process and store the data in Amazon RDS.
Explanation
To decouple the architecture and make it scalable, a solutions architect should recommend the following approach:
D. Use Amazon S3 to serve the static front-end application and send requests to Amazon API Gateway, which writes the requests to an Amazon SQS queue. Place the backend instances in an Auto Scaling group, and scale based on the queue depth to process and store the data in Amazon RDS.
In this solution, the front-end application is served from Amazon S3, providing a scalable and highly available storage solution for static content. The requests from the front-end application are then routed through Amazon API Gateway, which can act as a managed API proxy. API Gateway can be configured to write the requests to an Amazon SQS queue, decoupling the front-end application from the backend application.
The backend instances are placed in an Auto Scaling group, allowing for automatic scaling based on the queue depth. As the number of requests in the SQS queue increases, the Auto Scaling group can scale out by adding more instances to handle the load. The backend instances will process and store the data in Amazon RDS, providing a scalable and managed database solution.
This approach provides scalability, fault tolerance, and decoupling between the front-end and backend components. It allows for independent scaling of the front-end and backend, ensuring that the system can handle increased traffic and workload without introducing bottlenecks or affecting user experience.
Question 1126
Exam Question
Application developers have noticed that a production application is very slow when business reporting users run large production reports against the Amazon RDS instance backing the application. The CPU and memory utilization metrics for the RDS instance do not exceed 60% while the reporting queries are running. The business reporting users must be able to generate reports without affecting the applications performance.
Which action will accomplish this?
A. Increase the size of the RDS instance
B. Create a read replica and connect the application to it.
C. Enable multiple Availability Zones on the RDS instance
D. Create a read replication and connect the business reports to it.
Correct Answer
D. Create a read replication and connect the business reports to it.
Explanation
To address the slow performance issue when running large production reports against the Amazon RDS instance without affecting the application’s performance, the following action can be taken:
D. Create a read replica and connect the business reports to it.
By creating a read replica, the reporting queries can be offloaded to the replica database, reducing the impact on the primary RDS instance that serves the application. This allows the application to continue operating with optimal performance while the reports are being generated. The read replica can handle the heavy reporting workload independently, relieving the primary RDS instance from the additional load.
Connecting the business reports specifically to the read replica ensures that the reporting queries are directed to the replica database, while the application’s normal operations still utilize the primary RDS instance.
Increasing the size of the RDS instance (option A) may provide some improvement in performance, but it may not fully address the issue if the bottleneck is related to the reporting queries overwhelming the database. Enabling multiple Availability Zones (option C) is a good practice for high availability but does not directly address the performance issue in this scenario. Creating a read replica and connecting the application to it (option B) would not provide the desired outcome as it would still impact the application’s performance when running the reports.
Therefore, option D, creating a read replica and connecting the business reports to it, is the most suitable action to ensure that the reports can be generated without affecting the application’s performance.
Question 1127
Exam Question
A solutions architect is designing a system to analyze the performance of financial markets while the markets are closed. The system will run a series of compute- intensive jobs for 4 hours every night. The time to complete the compute jobs is expected to remain constant, and jobs cannot be interrupted once started. Once completed, the system is expected to run for a minimum of 1 year.
Which type of Amazon EC2 instances should be used to reduce the cost of the system?
A. Spot instances
B. On-Demand instances
C. Standard Reserved Instances
D. Scheduled Reserved Instances
Correct Answer
A. Spot instances
Explanation
To reduce the cost of the system while running compute-intensive jobs for a fixed duration every night, the most cost-effective option would be to use Spot instances.
A. Spot instances: Spot instances allow you to bid on unused EC2 instances in the Spot market, where prices are typically lower compared to On-Demand instances. Since the compute jobs are not time-critical and can be interrupted if the Spot price exceeds your bid, using Spot instances can significantly reduce the cost of the system. Spot instances are a good fit for workloads that are flexible with respect to timing and can tolerate interruptions.
B. On-Demand instances: On-Demand instances are the regular instances that you can provision and use without any upfront commitment. While they provide flexibility and reliability, they are generally more expensive compared to Spot instances.
C. Standard Reserved Instances: Reserved Instances are a billing option that provides a significant discount compared to On-Demand instances. However, they require a 1- or 3-year commitment and are best suited for long-running workloads with stable usage patterns. Since the compute jobs in this scenario are expected to run for only 4 hours every night, using Standard Reserved Instances may not be the most cost-effective option.
D. Scheduled Reserved Instances: Scheduled Reserved Instances allow you to reserve capacity for specific time windows, but they require a fixed schedule commitment. Since the compute jobs are expected to run for 4 hours every night, using Scheduled Reserved Instances may not be suitable as it would require a fixed schedule commitment for the entire year.
Considering the requirement to reduce costs, the time flexibility of the workload, and the ability to tolerate interruptions, using Spot instances (option A) would be the most appropriate choice for reducing the cost of the system.
Question 1128
Exam Question
A company runs an application on Amazon EC2 Instances. The application is deployed in private subnets in three Availability Zones of the us-east-1 Region. The instances must be able to connect to the internet to download files. The company wants a design that is highly available across the Region.
Which solution should be implemented to ensure that there are no disruptions to Internet connectivity?
A. Deploy a NAT Instance in a private subnet of each Availability Zone.
B. Deploy a NAT gateway in a public subnet of each Availability Zone.
C. Deploy a transit gateway in a private subnet of each Availability Zone.
D. Deploy an internet gateway in a public subnet of each Availability Zone.
Correct Answer
B. Deploy a NAT gateway in a public subnet of each Availability Zone.
Explanation
To ensure uninterrupted internet connectivity for the Amazon EC2 instances in private subnets across multiple Availability Zones in the us-east-1 Region, the recommended solution is:
B. Deploy a NAT gateway in a public subnet of each Availability Zone.
- A NAT gateway is a highly available managed service provided by AWS that allows EC2 instances in private subnets to access the internet. It provides outbound internet connectivity for instances while also acting as a secure gateway, protecting the instances from direct inbound internet traffic.
- By deploying a NAT gateway in a public subnet of each Availability Zone, you can ensure that internet traffic from the EC2 instances in the private subnets can be routed through the NAT gateways to access the internet.
- Deploying a NAT gateway in each Availability Zone ensures high availability and redundancy. If one NAT gateway or Availability Zone becomes unavailable, the instances can still access the internet through the remaining available NAT gateways.
- NAT gateways automatically scale to meet the traffic demands and do not require manual management, making them a suitable choice for this scenario.
Option A (Deploy a NAT Instance in a private subnet of each Availability Zone) is incorrect because NAT instances require manual configuration and management, including monitoring and scaling. NAT gateways are the recommended and more convenient option.
Option C (Deploy a transit gateway in a private subnet of each Availability Zone) is incorrect because a transit gateway is used for connecting multiple VPCs or on-premises networks, and it is not designed specifically for providing internet connectivity to EC2 instances.
Option D (Deploy an internet gateway in a public subnet of each Availability Zone) is incorrect because an internet gateway provides a route for internet traffic to enter or leave a VPC, but it does not directly enable internet connectivity for instances in private subnets. NAT gateways are required for that purpose.
Therefore, the recommended solution is to deploy a NAT gateway in a public subnet of each Availability Zone.
Question 1129
Exam Question
A company has a three-tier image-sharing application. It uses an Amazon EC2 instance for the front-end layer, another for the backend tier, and a third for the MySQL database. A solutions architect has been tasked with designing a solution that is highly available, and requires the least amount of changes to the application.
Which solution meets these requirements?
A. Use Amazon S3 to host the front-end layer and AWS Lambda functions for the backend layer. Move the database to an Amazon DynamoDB table and use Amazon S3 to store and serve users’ images.
B. Use load-balanced Multi-AZ AWS Elastic Beanstalk environments for the front-end and backend layers. Move the database to an Amazon RDS instance with multiple read replicas to store and serve users’ images.
C. Use Amazon S3 to host the front-end layer and a fleet of Amazon EC2 instances in an Auto Scaling group for the backend layer. Move the database to a memory optimized instance type to store and serve users’ images.
D. Use load-balanced Multi-AZ AWS Elastic Beanstalk environments for the front-end and backend layers. Move the database to an Amazon RDS instance with a Multi-AZ deployment. Use Amazon S3 to store and serve users’ images.
Correct Answer
D. Use load-balanced Multi-AZ AWS Elastic Beanstalk environments for the front-end and backend layers. Move the database to an Amazon RDS instance with a Multi-AZ deployment. Use Amazon S3 to store and serve users’ images.
Explanation
The solution that meets the requirements of being highly available while requiring the least amount of changes to the application is:
D. Use load-balanced Multi-AZ AWS Elastic Beanstalk environments for the front-end and backend layers. Move the database to an Amazon RDS instance with a Multi-AZ deployment. Use Amazon S3 to store and serve users’ images.
- Using load-balanced Multi-AZ AWS Elastic Beanstalk environments for the front-end and backend layers provides high availability and fault tolerance. Elastic Beanstalk manages the underlying infrastructure, including scaling and load balancing, reducing the need for manual management.
- Moving the database to an Amazon RDS instance with a Multi-AZ deployment ensures automatic replication and failover in case of an Availability Zone failure. Multi-AZ deployment synchronously replicates data to a standby instance in a different Availability Zone, providing high availability and data durability.
- Storing and serving users’ images with Amazon S3 is a scalable and reliable solution. S3 offers high durability and availability for storing objects, and it can be easily integrated with the application for image storage and retrieval.
Option A (Using Amazon S3 for hosting the front-end layer and AWS Lambda functions for the backend layer) would require significant changes to the application architecture, as it involves moving from EC2 instances to a serverless architecture with Lambda functions.
Option B (Using load-balanced Multi-AZ Elastic Beanstalk environments for the front-end and backend layers and moving the database to an Amazon RDS instance with multiple read replicas) is a close choice, but it does not mention using Amazon S3 for storing and serving users’ images.
Option C (Using Amazon S3 for hosting the front-end layer and a fleet of EC2 instances in an Auto Scaling group for the backend layer) does not provide the same level of high availability as Multi-AZ deployments. Additionally, it does not mention the use of Amazon RDS for the database.
Therefore, the recommended solution is to use load-balanced Multi-AZ AWS Elastic Beanstalk environments for the front-end and backend layers, move the database to an Amazon RDS instance with a Multi-AZ deployment, and use Amazon S3 to store and serve users’ images.
Question 1130
Exam Question
A solution architect is designing a hybrid application using the AWS cloud. The network between the on-premises data center and AWS will use an AWS Direct Connect (DX) connection. The application connectivity between AWS and the on-premises data center must be highly resilient.
Which DX configuration should be implemented to meet these requirements?
A. Configure a DX connection with a VPN on top of it.
B. Configure DX connections at multiple DX locations.
C. Configure a DX connection using the most reliable DX partner.
D. Configure multiple virtual interfaces on top of a DX connection.
Correct Answer
D. Configure multiple virtual interfaces on top of a DX connection.
Explanation
To achieve highly resilient connectivity between an on-premises data center and AWS using AWS Direct Connect (DX), the recommended configuration is:
D. Configure multiple virtual interfaces on top of a DX connection.
- Configuring multiple virtual interfaces on top of a DX connection allows for redundancy and resilience. Each virtual interface can be connected to a different AWS Direct Connect location or a different device in the on-premises data center, providing multiple paths for traffic.
- Multiple virtual interfaces can be configured with diverse physical paths, such as connecting to different routers in the on-premises data center or utilizing different DX locations, ensuring high availability and fault tolerance.
- By distributing the traffic across multiple virtual interfaces, any failure or maintenance on one path or interface will not disrupt the entire connectivity between the on-premises data center and AWS.
Option A (Configuring a DX connection with a VPN on top of it) is not specifically focused on achieving high resilience. Although it can provide additional security and encryption for the connection, it does not inherently address resiliency.
Option B (Configuring DX connections at multiple DX locations) is not necessary for achieving resiliency on its own. Multiple DX connections at different locations can increase bandwidth or provide redundancy for specific scenarios, but it does not guarantee overall resiliency for the application connectivity.
Option C (Configuring a DX connection using the most reliable DX partner) does not directly contribute to the resilience of the connectivity. The DX partner selection is important for network performance and service level agreements (SLAs), but it does not address the resiliency aspect.
Therefore, the recommended configuration is to configure multiple virtual interfaces on top of a DX connection to achieve highly resilient application connectivity between the on-premises data center and AWS.
