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Amazon SAA-C03 Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	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 3	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.
Topic 4	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.

To achieve the Amazon SAA-C03 Certification, candidates need to demonstrate their proficiency in various AWS services, such as EC2, S3, RDS, VPC, and Route 53, among others. Candidates are required to have at least one year of hands-on experience in designing and deploying scalable, highly available, and fault-tolerant systems on AWS. The SAA-C03 certification exam consists of 65 multiple-choice and multiple-response questions, and the candidates have 130 minutes to complete the exam. The passing score for the exam is 720 out of 1000 points. Earning the Amazon SAA-C03 certification not only validates the candidate’s expertise in AWS but also demonstrates their commitment to staying up-to-date with the latest trends and best practices in cloud computing.

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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q84-Q89):

NEW QUESTION # 84
A company is building a containerized application on AWS. The application uses the Linux operating system. The company needs to provide a persistent storage solution for the application.
The company expects the storage solution to have varying data access patterns. The solution must have native storage tiering capabilities and must be scalable. The solution must not require the company to provision storage upfront.
Which solution will meet these requirements in the MOST cost-effective way?

A. Launch an Amazon EC2 instance that is backed by an Amazon EBS volume. Use the EBS volume to create a file share.
B. Configure two Amazon FSx for Windows File Server file systems. Use an SSD-based file system for performance and an HDD-based file system for low-cost storage.
C. Use Amazon FSx for NetApp ONTAP to set up persistent file storage that uses SSD storage for performance. Use the capacity pool storage tier.
D. Use an Amazon EFS file system in Elastic mode. Use the Intelligent Tiering lifecycle management feature.

Answer: D

Explanation:
Amazon EFS in Elastic throughput mode provides persistent, scalable shared storage for Linux- based containerized applications without requiring storage provisioning in advance. EFS lifecycle management supports native tiering by automatically moving files to lower-cost storage classes based on access patterns, which makes it the most cost-effective choice for variable workloads.
Amazon EFS is also natively integrated for container use cases on AWS.

NEW QUESTION # 85
[Design High-Performing Architectures]
An ecommerce company runs an application that uses an Amazon DynamoDB table in a single AWS Region. The company wants to deploy the application to a second Region. The company needs to support multi-active replication with low latency reads and writes to the existing DynamoDB table in both Regions.
Which solution will meet these requirements in the MOST operationally efficient way?

A. Create a DynamoDB global secondary index (GSI) for the existing table. Create a new table in the second Region. Convert the existing DynamoDB table to a global table. Specify the new table as the secondary table.
B. Convert the existing DynamoDB table to a global table. Choose the appropriate second Region to achieve active-active write capabilities in both Regions.
C. Enable Amazon DynamoDB Streams for the existing table. Create a new table in the second Region. Create a new application that uses the DynamoDB Streams Kinesis Adapter and the Amazon Kinesis Client Library (KCL). Configure the new application to read data from the DynamoDB table in the first Region and to write the data to the new table in the second Region.
D. Enable Amazon DynamoDB Streams for the existing table. Create a new table in the second Region. Create an AWS Lambda function in the first Region that reads data from the table in the first Region and writes the data to the new table in the second Region. Set a DynamoDB stream as the input trigger for the Lambda function.

Answer: B

Explanation:
Converting the existing DynamoDB table to aglobal tableprovides active-active replication and low-latency reads and writes in both Regions. DynamoDB global tables are specifically designed for multi-Region and multi-active use cases.
Option A:GSIs do not provide multi-Region replication or active-active capabilities.
Option B and D:Using DynamoDB Streams and custom replication is less operationally efficient than global tables and introduces additional complexity.
AWS Documentation Reference:
DynamoDB Global Tables

NEW QUESTION # 86
A company has five organizational units (OUs) as part of its organization in AWS Organizations. Each OU correlates to the five businesses that the company owns. The company's research and development (R&D) business is separating from the company and will need its own organization. A solutions architect creates a separate new management account for this purpose.
What should the solutions architect do next in the new management account?

A. Invite the R&D AWS account to be part of the new organization after the R&D AWS account has left the prior organization.
B. Have the R&D AWS account be part of both organizations during the transition.
C. Have the R&D AWS account join the new organization. Make the new management account a member of the prior organization.
D. Create a new R&D AWS account in the new organization. Migrate resources from the prior R&D AWS account to the new R&D AWS account.

Answer: A

Explanation:
it allows the solutions architect to create a separate organization for the research and development (R&D) business and move its AWS account to the new organization. By inviting the R&D AWS account to be part of the new organization after it has left the prior organization, the solutions architect can ensure that there is no overlap or conflict between the two organizations. The R&D AWS account can accept or decline the invitation to join the new organization. Once accepted, it will be subject to any policies and controls applied by the new organization. Reference:
Inviting an AWS Account to Join Your Organization
Leaving an Organization as a Member Account

NEW QUESTION # 87
A company is using AWS DataSync to migrate millions of files from an on-premises system to AWS. The average size of the files is 10 KB. The company wants to store the files in an Amazon S3 bucket. Users will need immediate access to the files once or twice during the first year after migration. After 1 year, the company must archive the files for at least 7 years. Which solution will meet these requirements MOST cost-effectively?

A. Use an archive tool to group the files into large objects. Use DataSync to copy the objects to S3 Standard-Infrequent Access (S3 Standard-IA). Use a lifecycle configuration to transition the files to S3 Glacier Instant Retrieval after 1 year. Set a retention period of 7 years.
B. Configure DataSync to transfer the files directly to S3 Glacier Deep Archive. Create a Vault Lock policy, and set a retention period of 7 years.
C. Store the files in S3 Glacier Instant Retrieval. Use a lifecycle policy to transition the files to S3 Glacier Flexible Retrieval after 1 year. Set a retention period of 7 years.
D. Use an archive tool to group the files into large objects. Use DataSync to migrate the objects.
Store the objects in S3 Glacier Instant Retrieval for the first year. Use a lifecycle configuration to transition the files to S3 Glacier Deep Archive after 1 year. Set a retention period of 7 years.

Answer: D

Explanation:
Grouping millions of 10 KB files into large archive objects minimizes per-object overhead (PUT, retrieval, and metadata costs). Storing these archive objects in S3 Glacier Instant Retrieval for the first year provides low-cost storage with millisecond access, satisfying the requirement for
"immediate access once or twice during the first year." After 1 year, transitioning the data to S3 Glacier Deep Archive gives the lowest long-term cost for the required 7+ years of retention. This approach delivers the required access pattern and retention with the best overall cost efficiency.

NEW QUESTION # 88
A company is building a microservices-based application that will be deployed on Amazon Elastic Kubernetes Service (Amazon EKS). The microservices will interact with each other. The company wants to ensure that the application is observable to identify performance issues in the future.
Which solution will meet these requirements?

A. Configure AWS CloudTrail to review the API calls. Build an Amazon QuickSight dashboard to observe the microservice interactions.
B. Configure the application to use Amazon ElastiCache to reduce the number of requests that are sent to the microservices.
C. Configure Amazon CloudWatch Container Insights to collect metrics from the EKS clusters Configure AWS X-Ray to trace the requests between the microservices.
D. Use AWS Trusted Advisor to understand the performance of the application.

Answer: C

Explanation:
This solution meets the requirements because it enables the company to observe the performance and behavior of its microservices-based application on Amazon EKS. Amazon CloudWatch Container Insights is a feature that collects, aggregates, and summarizes metrics and logs from containerized applications and microservices.
Container Insights integrates with Amazon EKS and Kubernetes to provide metrics at the cluster, node, pod, task, and service level. You can use Container Insights to monitor the CPU, memory, disk, and network utilization of your EKS clusters and identify bottlenecks, latency spikes, and other issues. AWS X-Ray is a service that collects data about requests that your application serves, and provides tools that you can use to view, filter, and gain insights into that data. X-Ray integrates with Amazon EKS and Kubernetes to trace the requests that your microservices make to downstream AWS resources, microservices, databases, and web APIs. You can use X-Ray to analyze the root cause of errors, faults, and performance issues, and visualize the service map of your application.
References:
Using Container Insights
AWS X-Ray

NEW QUESTION # 89
......

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