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Amazon SAA-C03 Exam Overview:

Certification Vendor:	Amazon Web Services (AWS)
Exam Name:	AWS Certified Solutions Architect - Associate
Exam Number:	SAA-C03
Passing Score:	720 / 1000
Exam Price:	$150 USD
Exam Format:	Multiple Response, Multiple Choice
Certificate Validity Period:	3 years
Available Languages:	Simplified Chinese, Japanese, English, Korean
Exam Duration:	130 minutes
Related Certifications:	AWS Certified Solutions Architect - Professional
Real Exam Qty:	65
Sample Questions:	Amazon SAA-C03 Sample Questions
Exam Way:	Online (Pearson VUE or PSI) or Test Center
Pre Condition:	No mandatory prerequisites. AWS recommends at least 1 year of hands-on experience designing distributed systems on AWS.
Official Syllabus URL:	https://aws.amazon.com/certification/certified-solutions-architect-associate/

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To become certified, candidates must pass the SAA-C03 Exam, which consists of 65 multiple-choice and multiple-response questions that must be completed within 130 minutes. SAA-C03 exam is computer-based and can be taken at a testing center or remotely. The passing score for the exam is 720 out of 1000.

Amazon SAA-C03 Exam Syllabus Topics:

Topic	Details
Topic 1	Design High Performing Architectures: This section of the exam measures skills of Performance Engineers and Solutions Architects and covers the design of high performing architectures that meet demanding workload requirements. Learners explore high performing and scalable storage solutions, elastic compute solutions, database solutions, network architectures, and data ingestion and transformation solutions. The content addresses hybrid storage solutions, compute services with appropriate use cases, distributed computing concepts, database capacity planning and replication, caching strategies, edge networking services, network architecture design, data analytics and visualization services, data transfer services, and streaming data services. The material focuses on determining storage configurations that meet performance demands, decoupling workloads for independent scaling, selecting appropriate compute and database options, creating network topologies for various architectures, building and securing data lakes, designing data streaming architectures, and implementing visualization strategies.
Topic 2	Design Cost Optimized Architectures: This section of the exam measures skills of Cloud Financial Analysts and Solutions Architects and covers the design of cost optimized architectures that maximize value while minimizing expenses. Learners study cost optimized storage solutions, compute solutions, database solutions, and network architectures. The content addresses AWS cost management service features and tools, storage access patterns and tiering, backup strategies, AWS purchasing options, distributed compute strategies, instance types and sizes, compute utilization optimization, scaling strategies, caching strategies, data retention policies, database capacity planning, load balancing concepts, NAT gateways, and network routing and peering. The material focuses on designing appropriate storage strategies, managing object lifecycles, determining cost effective compute and database services, selecting appropriate instance families and sizes, configuring appropriate network connections and routes, minimizing network transfer costs, and reviewing existing workloads for optimization opportunities.
Topic 3	Design Resilient Architectures: This section of the exam measures skills of Infrastructure Architects and Solutions Architects and covers the design of resilient architectures that ensure business continuity. Learners study scalable and loosely coupled architectures, highly available and fault tolerant architectures, and disaster recovery strategies. The content addresses API creation and management, caching strategies, microservices design principles, event driven architectures, horizontal and vertical scaling, load balancing concepts, serverless technologies and patterns, container orchestration, AWS global infrastructure, distributed design patterns, failover strategies, and service quotas and throttling. The material focuses on designing event driven and multi tier architectures, determining scaling strategies, achieving loose coupling, implementing automation to ensure infrastructure integrity, mitigating single points of failure, and selecting appropriate disaster recovery strategies to meet business requirements.
Topic 4	Design Secure Architectures: This section of the exam measures skills of Cloud Security Engineers and Solutions Architects and covers the design of secure architectures on AWS. Learners explore secure access to AWS resources, secure workloads and applications, and appropriate data security controls. The content addresses access controls and management across multiple accounts, AWS federated access and identity services, VPC architectures with security components, network segmentation strategies, application security integration, data access and governance, encryption and key management, and compliance requirements. The material focuses on applying AWS security best practices, designing flexible authorization models, implementing role based access control strategies, securing network connections, encrypting data at rest and in transit, and implementing data backup and protection policies.

Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q738-Q743):

NEW QUESTION # 738
A company recently migrated its entire IT environment to the AWS Cloud. The company discovers that users are provisioning oversized Amazon EC2 instances and modifying security group rules without using the appropriate change control process A solutions architect must devise a strategy to track and audit these inventory and configuration changes.
Which actions should the solutions architect take to meet these requirements? (Select TWO )

A. Enable AWS Config and create rules for auditing and compliance purposes
B. Enable AWS CloudTrail and use it for auditing
C. Restore previous resource configurations with an AWS CloudFormation template
D. Use data lifecycie policies for the Amazon EC2 instances
E. Enable AWS Trusted Advisor and reference the security dashboard

Answer: A,B

Explanation:
Explanation
A) Enable AWS CloudTrail and use it for auditing. AWS CloudTrail provides a record of API calls and can be used to audit changes made to EC2 instances and security groups. By analyzing CloudTrail logs, the solutions architect can track who provisioned oversized instances or modified security groups without proper approval.
D) Enable AWS Config and create rules for auditing and compliance purposes. AWS Config can record the configuration changes made to resources like EC2 instances and security groups. The solutions architect can create AWS Config rules to monitor for non-compliant changes, like launching certain instance types or opening security group ports without permission. AWS Config would alert on any violations of these rules.

NEW QUESTION # 739
A company plans to use an Amazon S3 bucket to archive backup data. Regulations require the company to retain the backup data for 7 years.
During the retention period, the company must prevent users, including administrators, from deleting the data.
The company can delete the data after 7 years.
Which solution will meet these requirements?

A. Create an S3 Object Lock default retention policy that retains data for 7 years in compliance mode.
Create an S3 Lifecycle policy to delete the data after 7 years.
B. Create an S3 bucket policy that denies delete operations for 7 years. Create an S3 Lifecycle policy to delete the data after 7 years.
C. Create an S3 Batch Operations job to set a legal hold on each object for 7 years. Create an S3 Lifecycle policy to delete the data after 7 years.
D. Create an S3 Object Lock default retention policy that retains data for 7 years in governance mode.
Create an S3 Lifecycle policy to delete the data after 7 years.

Answer: A

Explanation:
Comprehensive and Detailed Step-by-Step Explanation:
The requirement is toprevent data deletion by any user, including administrators, for 7 years while allowing automatic deletion afterward.
S3 Object Lock in Compliance Mode (Correct Choice - C)
Compliance mode ensures that even the root user cannot delete or modify the objects during the retention period.
After 7 years, the S3 Lifecycle policy automatically deletes the objects.
This meets bothimmutability and automatic deletionrequirements.
Governance Mode (Option B - Incorrect)
Governance mode prevents deletion,but administrators can override it.
The requirement explicitly states thateven administrators must not be able to delete the data.
S3 Bucket Policy (Option A - Incorrect)
An S3 bucket policy candeny deletes, but policies can be modified at any time by administrators.
It does not enforce strict retention like Object Lock.
S3 Batch Operations Job (Option D - Incorrect)
A legal hold does not have an automatic expiration.
Legal holds must be manually removed, which is not efficient.
Why Option C is Correct:
S3 Object Lock in Compliance Mode prevents deletion by all users, including administrators.
The S3 Lifecycle policy deletes the data automatically after 7 years, reducing operational overhead.
References:
S3 Object Lock Compliance Mode
S3 Lifecycle Policies

NEW QUESTION # 740
[Design Cost-Optimized Architectures]
A company uses Amazon S3 to store high-resolution pictures in an S3 bucket. To minimize application changes, the company stores the pictures as the latest version of an S3 object The company needs to retain only the two most recent versions ot the pictures.
The company wants to reduce costs. The company has identified the S3 bucket as a large expense.
Which solution will reduce the S3 costs with the LEAST operational overhead?

A. Use S3 Batch Operations to delete noncurrent object versions and retain only the two most recent versions
B. Use S3 Lifecycle to delete expired object versions and retain the two most recent versions.
C. Deactivate versioning on the S3 bucket and retain the two most recent versions.
D. Use an AWS Lambda function to check for older versions and delete all but the two most recent versions

Answer: B

Explanation:
S3 Lifecycle is a feature that allows you to automate the management of your S3 objects based on predefined rules. You can use S3 Lifecycle to delete expired object versions and retain the two most recent versions by creating a lifecycle configuration rule that applies to all objects in the bucket and specifies the expiration action for noncurrent versions. This way, you can reduce the storage costs of your S3 bucket without requiring any application changes or manual intervention. S3 Lifecycle runs once a day and marks the eligible object versions for deletion. You are no longer charged for the objects that are marked for deletion. S3 Lifecycle is the most cost-effective and simple solution among the options.
B . Use an AWS Lambda function to check for older versions and delete all but the two most recent versions. This option is not optimal because it requires you to write, test, and maintain a custom Lambda function that scans the S3 bucket for older versions and deletes them. This can incur additional costs for Lambda invocations and increase the operational complexity and overhead. Moreover, you need to ensure that your Lambda function has the appropriate permissions and error handling mechanisms to perform the deletion operation.
C . Use S3 Batch Operations to delete noncurrent object versions and retain only the two most recent versions. This option is not ideal because S3 Batch Operations is designed for performing large-scale operations on S3 objects, such as copying, tagging, restoring, or invoking a Lambda function. To use S3 Batch Operations to delete noncurrent object versions, you need to provide a manifest file that lists the object versions that you want to delete. This can be challenging and time-consuming to generate and update. Moreover, S3 Batch Operations charges you for each operation that you perform, which can increase your costs.
D . Deactivate versioning on the S3 bucket and retain the two most recent versions. This option is not feasible because deactivating versioning on an S3 bucket does not delete the existing object versions. Instead, it prevents new versions from being created. Therefore, you still need to delete the older versions manually or use another method to do so. Additionally, deactivating versioning can compromise the data protection and recovery capabilities of your S3 bucket.
Reference:
1 Considering four different replication options for data in Amazon S3 | AWS Storage Blog
2 Using AWS Lambda with Amazon S3 batch operations - AWS Lambda
3 Empty an Amazon S3 bucket with a lifecycle configuration rule
4 Amazon S3 - Lifecycle Management - GeeksforGeeks

NEW QUESTION # 741
An ecommerce company experiences a surge in mobile application traffic every Monday at 8 AM during the company's weekly sales events. The application's backend uses an Amazon API Gateway HTTP API and AWS Lambda functions to process user requests. During peak sales periods, users report encountering TooManyRequestsException errors from the Lambda functions. The errors result in a degraded user experience. A solutions architect needs to design a scalable and resilient solution that minimizes the errors and ensures that the application's overall functionality remains unaffected. Which solution will meet this requirement?

A. Create an Amazon Simple Queue Service (Amazon SQS) queue. Send user requests to the SQS queue. Configure the Lambda function with provisioned concurrency. Set the SQS queue as the event source trigger.
B. Create an Amazon Simple Queue Service (Amazon SQS) queue. Send user requests to the SQS queue. Configure the Lambda functions with reserved concurrency. Set the SQS queue as the event source trigger for the functions.
C. Create an Amazon Simple Notification Service (Amazon SNS) topic. Send user requests to the SNS topic. Configure the Lambda functions with provisioned concurrency. Subscribe the functions to the SNS topic.
D. Use AWS Step Functions to orchestrate and process user requests. Configure Step Functions to invoke the Lambda functions and to manage the request flow.

Answer: A

Explanation:
TooManyRequestsException errors occur when Lambda exceeds concurrency limits. The recommended pattern is to use Amazon SQS with Lambda to decouple and buffer traffic, ensuring that bursts of requests are queued and processed smoothly. Enabling provisioned concurrency for Lambda ensures that functions are pre-initialized and ready to handle spikes in load with low latency. Step Functions (B) is designed for workflow orchestration, not high- throughput request buffering. SNS with Lambda (C) does not provide buffering and may overwhelm Lambda during bursts. Reserved concurrency (D) limits function scaling instead of improving resilience. Therefore, option A provides a scalable and resilient solution, minimizing errors during traffic surges.

NEW QUESTION # 742
A company's marketing data is uploaded from multiple sources to an Amazon S3 bucket A series ot data preparation jobs aggregate the data for reporting The data preparation jobs need to run at regular intervals in parallel A few jobs need to run in a specific order later The company wants to remove the operational overhead of job error handling retry logic, and state management Which solution will meet these requirements?

A. Use AWS Glue DataBrew to process the data Use an AWS Step Functions state machine to run the DataBrew data preparation jobs
B. Use an AWS Lambda function to process the data as soon as the data is uploaded to the S3 bucket Invoke Other Lambda functions at regularly scheduled intervals
C. Use Amazon Athena to process the data Use Amazon EventBndge Scheduler to invoke Athena on a regular internal
D. Use AWS Data Pipeline to process the data. Schedule Data Pipeline to process the data once at midnight.

Answer: A

Explanation:
AWS Glue DataBrew is a visual data preparation tool that allows you to easily clean, normalize, and transform your data without writing any code. You can create and run data preparation jobs on your data stored in Amazon S3, Amazon Redshift, or other data sources. AWS Step Functions is a service that lets you coordinate multiple AWS services into serverless workflows. You can use Step Functions to orchestrate your DataBrew jobs, define the order and parallelism of execution, handle errors and retries, and monitor the state of your workflow. By using AWS Glue DataBrew and AWS Step Functions, you can meet the requirements of the company with minimal operational overhead, as you do not need to write any code, manage any servers, or deal with complex dependencies.
References:
AWS Glue DataBrew
AWS Step Functions
Orchestrate AWS Glue DataBrew jobs using AWS Step Functions

NEW QUESTION # 743
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