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Amazon SAA-C03 Exam Syllabus Topics:

SectionWeightObjectives
Design Cost-Optimized Architectures20%- Design cost-optimized database solutions
  • 1. RDS Reserved Instances
  • 2. ElastiCache for caching
  • 3. DynamoDB capacity modes (On-demand vs Provisioned)
  • 4. Aurora Serverless
- Design cost-optimized storage solutions
  • 1. S3 storage classes and lifecycle policies
  • 2. S3 Intelligent-Tiering
  • 3. EFS cost optimization
  • 4. EBS volume type selection
- Design cost-optimized compute solutions
  • 1. Right-sizing instances
  • 2. EC2 purchasing options (On-Demand, Reserved, Spot, Savings Plans)
  • 3. Auto Scaling for cost optimization
  • 4. AWS Lambda pricing model
- Design cost-optimized network architectures
  • 1. AWS Direct Connect for cost optimization
  • 2. Data transfer costs
  • 3. VPC endpoints to reduce NAT costs
  • 4. CloudFront to reduce origin load
Design High-Performing Architectures24%- Determine high-performing and/or scalable network architectures
  • 1. AWS Global Accelerator
  • 2. Amazon CloudFront
  • 3. VPC endpoints
  • 4. Amazon Route 53
  • 5. AWS Direct Connect
- Determine high-performing and/or scalable storage solutions
  • 1. Amazon FSx
  • 2. Amazon S3 storage classes and lifecycle policies
  • 3. Amazon EFS
  • 4. Instance Store
  • 5. Amazon EBS volume types
- Design high-performing and elastic compute solutions
  • 1. AWS Lambda
  • 2. AWS Elastic Beanstalk
  • 3. Amazon ECS and EKS
  • 4. Amazon EC2 instance types and families
- Determine high-performing data ingestion and transformation solutions
  • 1. Amazon MSK
  • 2. AWS Glue
  • 3. AWS Data Pipeline
  • 4. Amazon Kinesis
- Determine high-performing database solutions
  • 1. Amazon DynamoDB
  • 2. Amazon ElastiCache (Redis/Memcached)
  • 3. Amazon RDS and Aurora
  • 4. Amazon Redshift
Design Resilient Architectures26%- Design scalable and loosely coupled architectures
  • 1. Auto Scaling groups
  • 2. Elastic Load Balancing
  • 3. Amazon API Gateway
  • 4. Amazon EventBridge
  • 5. Amazon SQS and SNS
- Design highly available and/or fault-tolerant architectures
  • 1. AWS Global Accelerator
  • 2. Disaster recovery strategies (backup/restore, pilot light, warm standby, multi-site)
  • 3. Multi-AZ deployments
  • 4. Multi-Region architectures
  • 5. Amazon Route 53 routing policies
Design Secure Architectures30%- Design secure workloads and applications
  • 1. AWS KMS and CloudHSM
  • 2. Security groups and NACLs
  • 3. AWS WAF and Shield
  • 4. Encryption at rest and in transit
- Design secure access to AWS resources
  • 1. Multi-factor authentication (MFA)
  • 2. AWS Organizations and SCPs
  • 3. Identity federation
  • 4. IAM policies and roles
- Determine appropriate data security controls
  • 1. Data encryption strategies
  • 2. Amazon Macie and GuardDuty
  • 3. Data classification
  • 4. Data backup and recovery

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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q374-Q379):

NEW QUESTION # 374
A company needs to use its on-premises LDAP directory service to authenticate its users to the AWS Management Console. The directory service is not compatible with Security Assertion Markup Language (SAML).
Which solution meets these requirements?

Answer: D

Explanation:
The correct answer isDbecause the company needs to authenticate users from anon-premises LDAP directoryto theAWS Management Console, but the directory isnot SAML-compatible. In this scenario, the AWS-recommended pattern is to use acustom identity brokerthat authenticates users against the existing LDAP directory and then requeststemporary AWS credentialsfromAWS Security Token Service (AWS STS).
This enables federated access to AWS without creating long-term IAM user credentials for each person.
A custom identity broker serves as the intermediary between the non-SAML directory and AWS. After validating a user with LDAP, the broker can call AWS STS to issue short-lived credentials or console sign-in access. This approach preserves the use of the company's existing identity source while meeting AWS security best practices for temporary credentials and centralized identity management.
Option A is incorrect becauseAWS IAM Identity Centertypically relies on supported identity sources and federation methods, and the question explicitly states that the LDAP directory is not SAML-compatible.
Option B is incorrect because IAM policies do not integrate directly into LDAP as an authentication mechanism. Option C is incorrect because rotating IAM credentials tied to LDAP changes still relies on long- term credentials and does not provide a proper federated sign-in model.
AWS federation guidance supports the use of acustom identity brokerwhen an organization has a non-SAML- compatible identity system. Therefore, the best solution is to develop anon-premises custom identity brokerthat usesAWS STSto obtain short-lived credentials for AWS Management Console access.


NEW QUESTION # 375
A company runs a highly available SFTP service. The SFTP service uses two Amazon EC2 Linux instances that run with elastic IP addresses to accept traffic from trusted IP sources on the internet. The SFTP service is backed by shared storage that is attached to the instances. User accounts are created and managed as Linux users in the SFTP servers.
The company wants a serverless option that provides high IOPS performance and highly configurable security. The company also wants to maintain control over user permissions.
Which solution will meet these requirements?

Answer: C

Explanation:
AWS Transfer Family is a secure transfer service that enables you to transfer files into and out of AWS storage services using SFTP, FTPS, FTP, and AS2 protocols. You can use AWS Transfer Family to create an SFTP-enabled server with a public endpoint that allows only trusted IP addresses. You can also attach an Amazon S3 bucket with default encryption enabled to the SFTP service endpoint, which will provide high IOPS performance and highly configurable security for your data at rest. You can also maintain control over user permissions by granting users access to the SFTP service using IAM roles or service-managed identities.
References: https://docs.aws.amazon.com/transfer/latest/userguide/what-is-aws-transfer-family.html
https://docs.aws.amazon.com/transfer/latest/userguide/create-server-s3.html


NEW QUESTION # 376
A company has a regional subscription-based streaming service that runs in a single AWS Region. The architecture consists of web servers and application servers on Amazon EC2 instances. The EC2 instances are in Auto Scaling groups behind Elastic Load Balancing (ELB) load balancers. The architecture includes an Amazon Aurora global database cluster that extends across multiple Availability Zones.
The company wants to expand globally and to ensure that its application has minimal downtime.
Which solution will provide the MOST fault tolerance?

Answer: C

Explanation:
Amazon Aurora Global Database provides cross-Region database replication and disaster recovery capabilities for globally distributed applications. It maintains a primary database cluster in one AWS Region and secondary clusters in other Regions, using storage-level replication that typically has subsecond latency.
Option D provides the strongest fault tolerance by deploying application components across separate Regions and maintaining an Aurora global database. Amazon Route 53 health checks and failover routing redirect users when the primary application becomes unavailable. During a Regional database failure, the secondary Aurora cluster can be promoted to accept write operations.
Option A incorrectly describes extending an Auto Scaling group across Regions because Auto Scaling groups are Regional resources. Option B uses a less suitable replication architecture, while option C introduces additional replication complexity through AWS DMS.
This design addresses both application and database resilience.
AWS Reference: Amazon Aurora High Availability .


NEW QUESTION # 377
How can trade data from DynamoDB be ingested into an S3 data lake for near real-time analysis?

Answer: B

Explanation:
* Option A is the simplest solution, using DynamoDB Streams and Lambda for real-time ingestion into S3.
* Options B, C, and D add unnecessary complexity with Data Firehose or Kinesis.


NEW QUESTION # 378
A company is designing a tightly coupled high performance computing (HPC) environment in the AWS Cloud The company needs to include features that will optimize the HPC environment for networking and storage.
Which combination of solutions will meet these requirements? (Select TWO )

Answer: D,E

Explanation:
These two solutions will optimize the HPC environment for networking and storage. Amazon FSx for Lustre is a fully managed service that provides cost-effective, high-performance, scalable storage for compute workloads. It is built on the world's most popular high-performance file system, Lustre, which is designed for applications that require fast storage, such as HPC and machine learning. By configuring the file system with scratch storage, you can achieve sub-millisecond latencies, up to hundreds of GBs/s of throughput, and millions of IOPS. Scratch file systems are ideal for temporary storage and shorter-term processing of data. Data is not replicated and does not persist if a file server fails. For more information, see Amazon FSx for Lustre.
Elastic Fabric Adapter (EFA) is a network interface for Amazon EC2 instances that enables customers to run applications requiring high levels of inter-node communications at scale on AWS. Its custom-built operating system (OS) bypass hardware interface enhances the performance of inter-instance communications, which is critical to scaling HPC and machine learning applications. EFA provides a low-latency, low-jitter channel for inter-instance communications, enabling your tightly-coupled HPC or distributed machine learning applications to scale to thousands of cores. EFA uses libfabric interface and libfabric APIs for communications, which are supported by most HPC programming models. For more information, see Elastic Fabric Adapter.
The other solutions are not suitable for optimizing the HPC environment for networking and storage. AWS Global Accelerator is a networking service that helps you improve the availability, performance, and security of your public applications by using the AWS global network. It provides two global static public IPs, deterministic routing, fast failover, and TCP termination at the edge for your application endpoints. However, it does not support OS-bypass capabilities or high-performance file systems that are required for HPC and machine learning applications. For more information, see AWS Global Accelerator.
Amazon CloudFront is a content delivery network (CDN) service that securely delivers data, videos, applications, and APIs to customers globally with low latency, high transfer speeds, all within a developer-friendly environment. CloudFront is integrated with AWS services such as Amazon S3, Amazon EC2, AWS Elemental Media Services, AWS Shield, AWS WAF, and AWS Lambda@Edge. However, CloudFront is not designed for HPC and machine learning applications that require high levels of inter-node communications and fast storage. For more information, see [Amazon CloudFront].
AWS Elastic Beanstalk is an easy-to-use service for deploying and scaling web applications and services developed with Java, .NET, PHP, Node.js, Python, Ruby, Go, and Docker on familiar servers such as Apache, Nginx, Passenger, and IIS. You can simply upload your code and Elastic Beanstalk automatically handles the deployment, from capacity provisioning, load balancing, auto-scaling to application health monitoring. However, Elastic Beanstalk is not optimized for HPC and machine learning applications that require OS-bypass capabilities and high-performance file systems. For more information, see [AWS Elastic Beanstalk].


NEW QUESTION # 379
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