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The SAA-C03 Exam is designed to assess the candidate's understanding of AWS services and how they can be used to design and deploy applications in a cloud environment. SAA-C03 exam consists of 65 multiple-choice and multiple-response questions that must be answered within 130 minutes. The passing score for SAA-C03 exam is 720 out of a possible 1000 points.

Amazon SAA-C03 Exam Syllabus Topics:

TopicDetails
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 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 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 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.

>> SAA-C03 Practice Exams <<

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The web-based AWS Certified Solutions Architect - Associate (SAA-C03) practice test software can be used through browsers like Firefox, Safari, and Google Chrome. The customers don't need to download or install any excessive plugins or software in order to use the web-based AWS Certified Solutions Architect - Associate (SAA-C03) practice exam format. The web-based AWS Certified Solutions Architect - Associate (SAA-C03) practice test software format is supported by different operating systems like Mac, iOS, Linux, Windows, and Android.

Amazon SAA-C03 Exam is ideal for individuals who are interested in pursuing a career in AWS cloud computing or for those who want to enhance their skills and knowledge in this area. AWS Certified Solutions Architect - Associate certification validates the candidate's ability to design and deploy AWS-based applications and systems that meet the requirements of organizations of all sizes. AWS Certified Solutions Architect - Associate certification also enhances the candidate's marketability and opens up new career opportunities.

Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q247-Q252):

NEW QUESTION # 247
A company is migrating a Linux-based web server group to AWS. The web servers must access files in a shared file store for some content. The company must not make any changes to the application.
What should a solutions architect do to meet these requirements?

Answer: B

Explanation:
Create an Amazon Elastic File System (Amazon EFS) file system. Mount the EFS file system on all web servers. To meet the requirements of providing a shared file store for Linux-based web servers without making changes to the application, using an Amazon EFS file system is the best solution. Amazon EFS is a managed NFS file system service that provides shared access to files across multiple Linux-based instances, which makes it suitable for this use case. Amazon S3 is not ideal for this scenario since it is an object storage service and not a file system, and it requires additional tools or libraries to mount the S3 bucket as a file system.
Amazon CloudFront can be used to improve content delivery performance but is not necessary for this requirement. Additionally, Amazon EBS volumes can only be mounted to one instance at a time, so it is not suitable for sharing files across multiple instances.


NEW QUESTION # 248
[Design Secure Architectures]
A company has a small Python application that processes JSON documents and outputs the results to an on-premises SQL database. The application runs thousands of times each day. The company wants to move the application to the AWS Cloud. The company needs a highly available solution that maximizes scalability and minimizes operational overhead.
Which solution will meet these requirements?

Answer: A

Explanation:
By placing the JSON documents in an S3 bucket, the documents will be stored in a highly durable and scalable object storage service. The use of AWS Lambda allows the company to run their Python code to process the documents as they arrive in the S3 bucket without having to worry about the underlying infrastructure. This also allows for horizontal scalability, as AWS Lambda will automatically scale the number of instances of the function based on the incoming rate of requests. The results can be stored in an Amazon Aurora DB cluster, which is a fully-managed, high-performance database service that is compatible with MySQL and PostgreSQL. This will provide the necessary durability and scalability for the results of the processing.
https://aws.amazon.com/rds/aurora/


NEW QUESTION # 249
[Design Secure Architectures]
A company has several on-premises Internet Small Computer Systems Interface (iSCSI) network storage servers The company wants to reduce the number of these servers by moving to the AWS Cloud. A solutions architect must provide low-latency access to frequently used data and reduce the dependency on on-premises servers with a minimal number of infrastructure changes.
Which solution will meet these requirements?

Answer: A

Explanation:
Storage Gateway Volume Gateway (Cached Volumes): This configuration allows you to store your primary data in Amazon S3 while retaining frequently accessed data locally in a cache for low-latency access.
Low-Latency Access: Frequently accessed data is cached locally on-premises, providing low-latency access while the less frequently accessed data is stored cost-effectively in Amazon S3.
Implementation:
Deploy a Storage Gateway appliance on-premises or in a virtual environment.
Configure it as a volume gateway with cached volumes.
Create volumes and configure your applications to use these volumes.
Minimal Infrastructure Changes: This solution integrates seamlessly with existing on-premises infrastructure, requiring minimal changes and reducing dependency on on-premises storage servers.
Reference:
AWS Storage Gateway Volume Gateway
Volume Gateway Cached Volumes


NEW QUESTION # 250
[Design Secure Architectures]
A company runs an environment where data is stored in an Amazon S3 bucket. The objects are accessed frequently throughout the day. The company has strict data encryption requirements fordata that is stored in the S3 bucket. The company currently uses AWS Key Management Service (AWS KMS) for encryption.
The company wants to optimize costs associated with encrypting S3 objects without making additional calls to AWS KMS.
Which solution will meet these requirements?

Answer: D

Explanation:
An S3 Bucket Key reduces the cost of using AWS KMS for server-side encryption by decreasing the number of requests made to KMS. By enabling S3 Bucket Key, the company can meet its encryption requirements with KMS keys while optimizing costs by reducing the number of KMS API requests.
Key AWS features:
Cost Optimization: S3 Bucket Keys reduce the frequency of KMS calls, optimizing the cost associated with encryption while still using AWS KMS for key management.
Compliance with KMS Encryption: This solution continues to meet the strict encryption requirements of the company by using KMS managed keys.
AWS Documentation: Using an S3 Bucket Key is recommended for organizations looking to optimize encryption costs without compromising security.


NEW QUESTION # 251
A company uses a Microsoft SQL Server database. The applications currently connect using SQL Server protocols. The company wants to migrate to Amazon Aurora PostgreSQL with minimal changes to application code. Which combination of steps will meet these requirements? (Select TWO.)

Answer: B,D

Explanation:
Amazon Aurora PostgreSQL with Babelfish allows Aurora to understand SQL Server T-SQL and the SQL Server wire protocol. This enables applications to continue using SQL Server drivers, minimizing code changes (Option B).
Migration of schema and data is performed using AWS Schema Conversion Tool (SCT) and AWS Database Migration Service (DMS) (Option C), which is the AWS-recommended migration pattern for heterogeneous database migrations.


NEW QUESTION # 252
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