[Amazon] SAA-C03 - Solutions Architect Associate Exam Dumps & Study Guide
# Complete Study Guide for the AWS Certified Solutions Architect - Associate (SAA-C03) Exam
The AWS Certified Solutions Architect - Associate (SAA-C03) is one of the most widely recognized and respected certifications in the cloud industry. It validates your ability to design and deploy scalable, highly available, and fault-tolerant systems on the Amazon Web Services (AWS) platform. Whether you are a software developer, a systems administrator, or a business professional, this certification is a gateway to a rewarding career in cloud architecture.
## Why Pursue the AWS Solutions Architect Associate Certification?
Earning the SAA-C03 badge proves that you have the skills to:
- Design and deploy cloud-based solutions using AWS services.
- Select the appropriate AWS services to meet specific business requirements.
- Design for high availability, reliability, and cost-optimization.
- Implement secure and resilient network architectures.
- Ensure data security and compliance across the entire AWS infrastructure.
## Exam Overview
The SAA-C03 exam consists of 65 multiple-choice and multiple-response questions. You are given 130 minutes to complete the exam, and the passing score is 720 out of 1000.
### Key Domains Covered:
1. **Design Resilient Architectures (26%):** This domain focuses on your ability to design systems that are highly available and fault-tolerant. You’ll need to understand multi-AZ deployments, load balancing, and auto-scaling.
2. **Design High-Performing Architectures (24%):** Here, the focus is on optimizing performance. You must be able to choose the right compute, storage, and database services for a given use case. Understanding AWS Global Accelerator and CloudFront is also crucial.
3. **Design Secure Applications and Architectures (30%):** Security is a top priority in AWS. This domain tests your knowledge of AWS IAM, VPC security, and data encryption. You’ll need to understand how to secure your application code and use tools like AWS WAF and Shield.
4. **Design Cost-Optimized Architectures (20%):** This domain covers your ability to design cost-effective solutions. You’ll need to understand AWS pricing models, storage tiering, and how to use AWS Cost Explorer to monitor and optimize costs.
## Top Resources for SAA-C03 Preparation
Successfully passing the SAA-C03 requires a mix of theoretical knowledge and hands-on experience. Here are some of the best resources:
- **Official AWS Training:** AWS offers specialized digital and classroom training specifically for the Solutions Architect Associate.
- **AWS Whitepapers and Documentation:** Focus on the "AWS Well-Architected Framework" and whitepapers on high availability and security.
- **Hands-on Practice:** There is no substitute for building. Set up complex VPC architectures, configure load balancers, and experiment with different storage and database services.
- **Practice Exams:** High-quality practice questions are essential for understanding the exam format and identifying knowledge gaps. Many successful candidates recommend using resources like [notjustexam.com](https://notjustexam.com) for their realistic and challenging exam simulations.
## Critical Topics to Master
To excel in the SAA-C03, you should focus your studies on these high-impact areas:
- **Amazon VPC:** Master the nuances of VPC architecture, including subnets, route tables, and network ACLs.
- **Elastic Load Balancing (ELB) and Auto Scaling:** Understand how to design systems that can automatically scale based on demand.
- **Amazon S3:** Know the different storage classes and how to optimize for cost and performance.
- **Amazon RDS and DynamoDB:** Master the differences between relational and non-relational databases and how to choose the right one for your application.
- **AWS IAM:** Know how to create and manage users, groups, and roles, and how to implement the principle of least privilege.
## Exam Day Strategy
1. **Pace Yourself:** With 130 minutes for 65 questions, you have about 2 minutes per question. If a question is too difficult, flag it and move on.
2. **Read Carefully:** Pay attention to keywords like "most cost-effective," "least operational overhead," or "highest availability." These often dictate the correct answer among several technically feasible options.
3. **Use the Process of Elimination:** If you aren't sure of the right choice, eliminating obviously incorrect options significantly increases your chances.
## Conclusion
The AWS Certified Solutions Architect - Associate (SAA-C03) is a valuable credential that validates your skills in cloud architecture. By following a structured study plan, using high-quality practice exams from [notjustexam.com](https://notjustexam.com), and gaining hands-on experience, you can master the complexities of AWS architecture and join the elite group of certified associate architects.
Free [Amazon] SAA-C03 - Solutions Architect Associate Practice Questions Preview
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Question 1
A company collects data for temperature, humidity, and atmospheric pressure in cities across multiple continents. The average volume of data that the company collects from each site daily is 500 GB. Each site has a high-speed Internet connection.
The company wants to aggregate the data from all these global sites as quickly as possible in a single Amazon S3 bucket. The solution must minimize operational complexity.
Which solution meets these requirements?
- A. Turn on S3 Transfer Acceleration on the destination S3 bucket. Use multipart uploads to directly upload site data to the destination S3 bucket.
- B. Upload the data from each site to an S3 bucket in the closest Region. Use S3 Cross-Region Replication to copy objects to the destination S3 bucket. Then remove the data from the origin S3 bucket.
- C. Schedule AWS Snowball Edge Storage Optimized device jobs daily to transfer data from each site to the closest Region. Use S3 Cross-Region Replication to copy objects to the destination S3 bucket.
- D. Upload the data from each site to an Amazon EC2 instance in the closest Region. Store the data in an Amazon Elastic Block Store (Amazon EBS) volume. At regular intervals, take an EBS snapshot and copy it to the Region that contains the destination S3 bucket. Restore the EBS volume in that Region.
Correct Answer:
A
Explanation:
The best solution is A: Turn on S3 Transfer Acceleration on the destination S3 bucket. Use multipart uploads to directly upload site data to the destination S3 bucket.
Reasoning:
This solution directly addresses the requirements of minimizing operational complexity and achieving fast data aggregation from geographically dispersed locations.
- S3 Transfer Acceleration leverages AWS edge locations to minimize latency when transferring data over long distances. This significantly speeds up the upload process compared to standard S3 uploads.
- Multipart uploads allow you to upload large files in parallel, improving upload speed and resilience. Given the 500 GB daily data volume per site, this is crucial for efficient data transfer.
The combination of these two features provides a simple, fast, and operationally efficient solution.
Reasons for eliminating other options:
- Option B: Uploading to regional S3 buckets and using Cross-Region Replication introduces additional complexity and latency. Replication is not as fast as Transfer Acceleration for initial uploads. Also involves unnecessary data duplication.
- Option C: Using AWS Snowball Edge is an overkill for sites with high-speed Internet connections. Snowball Edge is designed for environments with limited or no connectivity. It also adds significant operational overhead with device management and shipping.
- Option D: Using EC2 instances and EBS snapshots is overly complex and expensive. It involves managing EC2 instances, EBS volumes, and snapshot operations, which does not align with the requirement to minimize operational complexity. This approach also introduces unnecessary steps and potential bottlenecks.
Citations:
- Amazon S3 Transfer Acceleration, https://aws.amazon.com/s3/transfer-acceleration/
- Uploading Objects Using Multipart Upload, https://docs.aws.amazon.com/AmazonS3/latest/userguide/mpuoverview.html
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Question 2
A company needs the ability to analyze the log files of its proprietary application. The logs are stored in JSON format in an Amazon S3 bucket. Queries will be simple and will run on-demand. A solutions architect needs to perform the analysis with minimal changes to the existing architecture.
What should the solutions architect do to meet these requirements with the LEAST amount of operational overhead?
- A. Use Amazon Redshift to load all the content into one place and run the SQL queries as needed.
- B. Use Amazon CloudWatch Logs to store the logs. Run SQL queries as needed from the Amazon CloudWatch console.
- C. Use Amazon Athena directly with Amazon S3 to run the queries as needed.
- D. Use AWS Glue to catalog the logs. Use a transient Apache Spark cluster on Amazon EMR to run the SQL queries as needed.
Correct Answer:
C
Explanation:
The best approach to meet the requirements with the least amount of operational overhead is to use C. Use Amazon Athena directly with Amazon S3 to run the queries as needed.
Reasoning:
Athena allows you to directly query data stored in S3 using SQL. This eliminates the need for data loading or transformation, minimizing operational overhead. The question specifies that the queries will be simple and run on-demand, which perfectly aligns with Athena's capabilities. It's a serverless service, meaning no infrastructure to manage.
Reasons for not choosing other options:
- A: Use Amazon Redshift to load all the content into one place and run the SQL queries as needed.: While Redshift is a powerful data warehouse, it involves loading data, managing the cluster, and incurring costs associated with running a Redshift cluster. This adds unnecessary operational overhead for simple, on-demand queries.
- B: Use Amazon CloudWatch Logs to store the logs. Run SQL queries as needed from the Amazon CloudWatch console.: While CloudWatch Logs is great for monitoring and troubleshooting, it is primarily designed for log aggregation and real-time monitoring, and its query capabilities are limited compared to Athena. Plus, the logs are already in S3. Moving them to CloudWatch Logs would be additional work.
- D: Use AWS Glue to catalog the logs. Use a transient Apache Spark cluster on Amazon EMR to run the SQL queries as needed.: This solution is overly complex for simple queries. AWS Glue and EMR are suitable for more complex ETL and data processing tasks, involving significant operational overhead for setting up, managing, and running the EMR cluster.
Therefore, Athena offers the most straightforward and cost-effective solution with the least operational overhead for this particular scenario.
- Amazon Athena, https://aws.amazon.com/athena/
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Question 3
A company uses AWS Organizations to manage multiple AWS accounts for different departments. The management account has an Amazon S3 bucket that contains project reports. The company wants to limit access to this S3 bucket to only users of accounts within the organization in AWS Organizations.
Which solution meets these requirements with the LEAST amount of operational overhead?
- A. Add the aws PrincipalOrgID global condition key with a reference to the organization ID to the S3 bucket policy.
- B. Create an organizational unit (OU) for each department. Add the aws:PrincipalOrgPaths global condition key to the S3 bucket policy.
- C. Use AWS CloudTrail to monitor the CreateAccount, InviteAccountToOrganization, LeaveOrganization, and RemoveAccountFromOrganization events. Update the S3 bucket policy accordingly.
- D. Tag each user that needs access to the S3 bucket. Add the aws:PrincipalTag global condition key to the S3 bucket policy.
Correct Answer:
A
Explanation:
The best answer is A: Add the aws PrincipalOrgID global condition key with a reference to the organization ID to the S3 bucket policy.
Reasoning:
The question asks for the solution with the LEAST amount of operational overhead. Option A directly addresses the requirement by using the aws:PrincipalOrgID global condition key in the S3 bucket policy. This key allows you to specify that only principals (users, roles) belonging to a specific AWS Organization ID can access the S3 bucket. This is the most straightforward and efficient way to enforce this restriction.
Why other options are not the best choice:
- B: Create an organizational unit (OU) for each department. Add the aws:PrincipalOrgPaths global condition key to the S3 bucket policy. While this approach can work, it's more complex than using
aws:PrincipalOrgID. It requires creating and managing OUs, and the aws:PrincipalOrgPaths key can become cumbersome to manage if the OU structure changes.
- C: Use AWS CloudTrail to monitor the CreateAccount, InviteAccountToOrganization, LeaveOrganization, and RemoveAccountFromOrganization events. Update the S3 bucket policy accordingly. This option is overly complex and requires constant monitoring of CloudTrail events and dynamic updates to the S3 bucket policy. It introduces significant operational overhead and is prone to errors. This is not a suitable solution for the requirement.
- D: Tag each user that needs access to the S3 bucket. Add the aws:PrincipalTag global condition key to the S3 bucket policy. Tagging each user is not scalable, especially in large organizations. Managing and maintaining these tags would introduce a high level of operational overhead. Also,
aws:PrincipalTag are used to check tags on the IAM principal, not on the AWS account or Organization.
The official AWS documentation confirms that
aws:PrincipalOrgID is the recommended approach for restricting access based on AWS Organization.
- AWS Global Condition Keys, https://docs.aws.amazon.com/IAM/latest/UserGuide/reference_policies_condition-keys.html#principal-org-id
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Question 4
An application runs on an Amazon EC2 instance in a VPC. The application processes logs that are stored in an Amazon S3 bucket. The EC2 instance needs to access the S3 bucket without connectivity to the internet.
Which solution will provide private network connectivity to Amazon S3?
- A. Create a gateway VPC endpoint to the S3 bucket.
- B. Stream the logs to Amazon CloudWatch Logs. Export the logs to the S3 bucket.
- C. Create an instance profile on Amazon EC2 to allow S3 access.
- D. Create an Amazon API Gateway API with a private link to access the S3 endpoint.
Correct Answer:
A
Explanation:
The best solution for providing private network connectivity to Amazon S3 from an EC2 instance within a VPC, without internet access, is to A. Create a gateway VPC endpoint to the S3 bucket.
Here's a detailed reasoning:
- Reason for Choosing A: A gateway VPC endpoint allows you to connect to S3 privately, without traversing the internet. It's a direct, cost-effective, and secure way to enable communication between your EC2 instances within the VPC and S3. The EC2 instance can access the S3 bucket using its private IP address.
- Reason for Not Choosing B: Streaming logs to CloudWatch Logs and then exporting them to S3 doesn't directly address the requirement of private connectivity between the EC2 instance and S3. While CloudWatch Logs can reside within the AWS network, the initial problem is accessing S3 from EC2 without internet.
- Reason for Not Choosing C: An instance profile grants the EC2 instance permissions to access S3, but it doesn't establish private network connectivity. The instance would still need a route to S3, which, without a VPC endpoint, would typically involve internet access (through a NAT gateway or public IP).
- Reason for Not Choosing D: Creating an API Gateway API with a private link to access the S3 endpoint is an overly complex solution. While it can provide private connectivity, it's more suitable for scenarios where you need to expose S3 data through a managed API, not for direct access from an EC2 instance within the same VPC. It introduces additional overhead and cost compared to a gateway VPC endpoint. Also, API Gateway Private Links are designed for accessing applications hosted behind Network Load Balancers (NLBs) or Application Load Balancers (ALBs) in other VPCs or on-premises, not for direct access to S3.
In summary, a gateway VPC endpoint is the most straightforward, efficient, and cost-effective way to establish private network connectivity between an EC2 instance and S3 within the same VPC.
- Citation: VPC Endpoints, https://docs.aws.amazon.com/vpc/latest/userguide/vpc-endpoints.html
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Question 5
A company is hosting a web application on AWS using a single Amazon EC2 instance that stores user-uploaded documents in an Amazon EBS volume. For better scalability and availability, the company duplicated the architecture and created a second EC2 instance and EBS volume in another Availability Zone, placing both behind an Application Load Balancer. After completing this change, users reported that, each time they refreshed the website, they could see one subset of their documents or the other, but never all of the documents at the same time.
What should a solutions architect propose to ensure users see all of their documents at once?
- A. Copy the data so both EBS volumes contain all the documents
- B. Configure the Application Load Balancer to direct a user to the server with the documents
- C. Copy the data from both EBS volumes to Amazon EFS. Modify the application to save new documents to Amazon EFS
- D. Configure the Application Load Balancer to send the request to both servers. Return each document from the correct server
Correct Answer:
C
Explanation:
I am unable to provide a recommended answer because the question content and discussion content are missing. To provide an accurate and helpful response, I need the actual question text and any relevant discussion or context.
Without the question, I cannot:
- Determine the correct answer.
- Provide reasoning for choosing a specific option.
- Explain why other options are incorrect.
- Offer relevant citations to AWS documentation or other credible sources.
Once you provide the question and discussion content, I will be able to analyze the information and provide a well-reasoned, evidence-based recommendation in the requested HTML format.
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Question 6
A company uses NFS to store large video files in on-premises network attached storage. Each video file ranges in size from 1 MB to 500 GB. The total storage is 70 TB and is no longer growing. The company decides to migrate the video files to Amazon S3. The company must migrate the video files as soon as possible while using the least possible network bandwidth.
Which solution will meet these requirements?
- A. Create an S3 bucket. Create an IAM role that has permissions to write to the S3 bucket. Use the AWS CLI to copy all files locally to the S3 bucket.
- B. Create an AWS Snowball Edge job. Receive a Snowball Edge device on premises. Use the Snowball Edge client to transfer data to the device. Return the device so that AWS can import the data into Amazon S3.
- C. Deploy an S3 File Gateway on premises. Create a public service endpoint to connect to the S3 File Gateway. Create an S3 bucket. Create a new NFS file share on the S3 File Gateway. Point the new file share to the S3 bucket. Transfer the data from the existing NFS file share to the S3 File Gateway.
- D. Set up an AWS Direct Connect connection between the on-premises network and AWS. Deploy an S3 File Gateway on premises. Create a public virtual interface (VIF) to connect to the S3 File Gateway. Create an S3 bucket. Create a new NFS file share on the S3 File Gateway. Point the new file share to the S3 bucket. Transfer the data from the existing NFS file share to the S3 File Gateway.
Correct Answer:
B
Explanation:
I am unable to provide a recommended answer because the question content and discussion content are missing. To give you the best possible recommendation, please provide the actual question text and any relevant discussion points. With that information, I can analyze the options, explain the reasoning behind the correct answer, and explain why the other options are incorrect, all while citing reputable sources.
For example, if you provide a question about choosing the best AWS database for a specific use case, I will explain which database is most suitable (e.g., RDS, DynamoDB, Aurora, etc.) and why, based on factors like scalability, consistency, cost, and operational overhead.
My response will include:
- The suggested answer
- The reason for choosing this answer, explaining the underlying AWS concepts and best practices.
- The reason for not choosing the other answers, clarifying why they are less suitable or incorrect in this specific scenario.
I will also try to include relevant links to AWS documentation and other authoritative resources to support my explanation. For example:
- Example: Amazon RDS - AWS: https://aws.amazon.com/rds/
- Example: Amazon DynamoDB - AWS: https://aws.amazon.com/dynamodb/
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Question 7
A company has an application that ingests incoming messages. Dozens of other applications and microservices then quickly consume these messages. The number of messages varies drastically and sometimes increases suddenly to 100,000 each second. The company wants to decouple the solution and increase scalability.
Which solution meets these requirements?
- A. Persist the messages to Amazon Kinesis Data Analytics. Configure the consumer applications to read and process the messages.
- B. Deploy the ingestion application on Amazon EC2 instances in an Auto Scaling group to scale the number of EC2 instances based on CPU metrics.
- C. Write the messages to Amazon Kinesis Data Streams with a single shard. Use an AWS Lambda function to preprocess messages and store them in Amazon DynamoDB. Configure the consumer applications to read from DynamoDB to process the messages.
- D. Publish the messages to an Amazon Simple Notification Service (Amazon SNS) topic with multiple Amazon Simple Queue Service (Amazon SOS) subscriptions. Configure the consumer applications to process the messages from the queues.
Correct Answer:
D
Explanation:
I am unable to provide a recommended answer because the question content and discussion content are missing. To provide a helpful answer, I need the actual question text and any related discussion. Please provide the question so I can assist you.
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Question 8
A company is migrating a distributed application to AWS. The application serves variable workloads. The legacy platform consists of a primary server that coordinates jobs across multiple compute nodes. The company wants to modernize the application with a solution that maximizes resiliency and scalability.
How should a solutions architect design the architecture to meet these requirements?
- A. Configure an Amazon Simple Queue Service (Amazon SQS) queue as a destination for the jobs. Implement the compute nodes with Amazon EC2 instances that are managed in an Auto Scaling group. Configure EC2 Auto Scaling to use scheduled scaling.
- B. Configure an Amazon Simple Queue Service (Amazon SQS) queue as a destination for the jobs. Implement the compute nodes with Amazon EC2 instances that are managed in an Auto Scaling group. Configure EC2 Auto Scaling based on the size of the queue.
- C. Implement the primary server and the compute nodes with Amazon EC2 instances that are managed in an Auto Scaling group. Configure AWS CloudTrail as a destination for the jobs. Configure EC2 Auto Scaling based on the load on the primary server.
- D. Implement the primary server and the compute nodes with Amazon EC2 instances that are managed in an Auto Scaling group. Configure Amazon EventBridge (Amazon CloudWatch Events) as a destination for the jobs. Configure EC2 Auto Scaling based on the load on the compute nodes.
Correct Answer:
B
Explanation:
Since I don't have the question content, I cannot provide a specific answer, reasoning, or citations. To provide a helpful response, I need the actual question text. Once you provide the question, I will analyze it, research the topic, and create a well-reasoned answer with supporting documentation in the requested format.
In the meantime, here's a general example of how I would format my response if I had the question:
Let's assume the question was: "A company wants to use AWS to host a highly available web application. Which AWS service is MOST suitable for automatically scaling the application based on demand?"
The suggested answer is: Application Load Balancer (ALB) with Auto Scaling group
Reasoning:
- Application Load Balancer (ALB): The ALB is designed for HTTP/HTTPS traffic and provides advanced routing and load balancing capabilities. It integrates seamlessly with Auto Scaling groups, allowing traffic to be distributed across multiple instances.
- Auto Scaling Group: Auto Scaling groups automatically adjust the number of instances in your application based on demand. They monitor the health of your instances and replace unhealthy ones. By using Auto Scaling, you can ensure your application has the resources it needs to handle peak loads and maintain high availability.
Reasons for not choosing other potential answers (example):
- Classic Load Balancer: While Classic Load Balancers can also work with Auto Scaling, they are older and less feature-rich than ALBs, especially for HTTP/HTTPS traffic. ALBs offer more advanced routing capabilities, such as content-based routing.
- Network Load Balancer (NLB): NLBs are designed for high-performance TCP/UDP traffic. While they can handle web traffic, they lack the HTTP/HTTPS-specific features of ALBs, making them less suitable for a web application.
- Elastic Load Balancing (ELB) without Auto Scaling: ELB (in general) is necessary, but without Auto Scaling, you won't have dynamic scaling capabilities, thus not meeting the requirement of automatically scaling based on demand.
Citations:
- Application Load Balancer, https://aws.amazon.com/elasticloadbalancing/application-load-balancer/
- Auto Scaling, https://aws.amazon.com/autoscaling/
- Elastic Load Balancing, https://aws.amazon.com/elasticloadbalancing/
Please provide the actual question for a precise and accurate answer.
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Question 9
A company is running an SMB file server in its data center. The file server stores large files that are accessed frequently for the first few days after the files are created. After 7 days the files are rarely accessed.
The total data size is increasing and is close to the company's total storage capacity. A solutions architect must increase the company's available storage space without losing low-latency access to the most recently accessed files. The solutions architect must also provide file lifecycle management to avoid future storage issues.
Which solution will meet these requirements?
- A. Use AWS DataSync to copy data that is older than 7 days from the SMB file server to AWS.
- B. Create an Amazon S3 File Gateway to extend the company's storage space. Create an S3 Lifecycle policy to transition the data to S3 Glacier Deep Archive after 7 days.
- C. Create an Amazon FSx for Windows File Server file system to extend the company's storage space.
- D. Install a utility on each user's computer to access Amazon S3. Create an S3 Lifecycle policy to transition the data to S3 Glacier Flexible Retrieval after 7 days.
Correct Answer:
B
Explanation:
I am unable to provide a recommended answer because the question content and discussion content are missing. In order to give you a helpful response, I need the actual question and any related discussion or context. Without that information, I cannot determine the correct answer, reason about why it is correct, or explain why other options might be incorrect. Please provide the question and discussion content so I can assist you.
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Question 10
A company is building an ecommerce web application on AWS. The application sends information about new orders to an Amazon API Gateway REST API to process. The company wants to ensure that orders are processed in the order that they are received.
Which solution will meet these requirements?
- A. Use an API Gateway integration to publish a message to an Amazon Simple Notification Service (Amazon SNS) topic when the application receives an order. Subscribe an AWS Lambda function to the topic to perform processing.
- B. Use an API Gateway integration to send a message to an Amazon Simple Queue Service (Amazon SQS) FIFO queue when the application receives an order. Configure the SQS FIFO queue to invoke an AWS Lambda function for processing.
- C. Use an API Gateway authorizer to block any requests while the application processes an order.
- D. Use an API Gateway integration to send a message to an Amazon Simple Queue Service (Amazon SQS) standard queue when the application receives an order. Configure the SQS standard queue to invoke an AWS Lambda function for processing.
Correct Answer:
B
Explanation:
The best solution to ensure orders are processed in the order they are received is: B. Use an API Gateway integration to send a message to an Amazon Simple Queue Service (Amazon SQS) FIFO queue when the application receives an order. Configure the SQS FIFO queue to invoke an AWS Lambda function for processing.
Reasoning:
The core requirement is to maintain the order of messages. SQS FIFO (First-In-First-Out) queues are specifically designed to guarantee that messages are processed in the exact order they are sent. By using a FIFO queue, the application can ensure that orders are processed sequentially, resolving the stated problem.
Reasons for excluding other options:
-
Option A is incorrect because Amazon SNS does not guarantee message delivery order. SNS is a publish/subscribe service and messages might not be processed in the order they were published.
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Option C is incorrect because an API Gateway authorizer is used for authentication and authorization, not for message sequencing or processing. It would not ensure that orders are processed in the correct order.
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Option D is incorrect because Amazon SQS standard queues do not guarantee message order. Standard queues provide best-effort ordering, which is not suitable when strict ordering is a requirement.
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SQS FIFO Queues, https://docs.aws.amazon.com/AWSSimpleQueueService/latest/SQSDeveloperGuide/FIFO-queues.html
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API Gateway Authorizers, https://docs.aws.amazon.com/apigateway/latest/developerguide/apigateway-use-lambda-authorizer.html