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Amazon SAA-C03 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Design Secure Architectures	30%	- Design secure access to AWS resources 1. IAM policies and roles 2. Identity federation 3. AWS Organizations and SCPs 4. Multi-factor authentication (MFA) - Determine appropriate data security controls 1. Data backup and recovery 2. Amazon Macie and GuardDuty 3. Data encryption strategies 4. Data classification - Design secure workloads and applications 1. Security groups and NACLs 2. Encryption at rest and in transit 3. AWS WAF and Shield 4. AWS KMS and CloudHSM
Topic 2: Design High-Performing Architectures	24%	- Determine high-performing data ingestion and transformation solutions 1. AWS Glue 2. Amazon Kinesis 3. Amazon MSK 4. AWS Data Pipeline - Determine high-performing database solutions 1. Amazon ElastiCache (Redis/Memcached) 2. Amazon Redshift 3. Amazon RDS and Aurora 4. Amazon DynamoDB - Determine high-performing and/or scalable storage solutions 1. Amazon S3 storage classes and lifecycle policies 2. Amazon EFS 3. Amazon EBS volume types 4. Instance Store 5. Amazon FSx - Determine high-performing and/or scalable network architectures 1. AWS Global Accelerator 2. Amazon Route 53 3. VPC endpoints 4. Amazon CloudFront 5. AWS Direct Connect - Design high-performing and elastic compute solutions 1. Amazon EC2 instance types and families 2. AWS Elastic Beanstalk 3. Amazon ECS and EKS 4. AWS Lambda
Topic 3: Design Cost-Optimized Architectures	20%	- Design cost-optimized compute solutions 1. AWS Lambda pricing model 2. Auto Scaling for cost optimization 3. EC2 purchasing options (On-Demand, Reserved, Spot, Savings Plans) 4. Right-sizing instances - Design cost-optimized storage solutions 1. EFS cost optimization 2. S3 storage classes and lifecycle policies 3. EBS volume type selection 4. S3 Intelligent-Tiering - Design cost-optimized network architectures 1. VPC endpoints to reduce NAT costs 2. AWS Direct Connect for cost optimization 3. Data transfer costs 4. CloudFront to reduce origin load - Design cost-optimized database solutions 1. Aurora Serverless 2. DynamoDB capacity modes (On-demand vs Provisioned) 3. RDS Reserved Instances 4. ElastiCache for caching
Topic 4: Design Resilient Architectures	26%	- Design highly available and/or fault-tolerant architectures 1. Amazon Route 53 routing policies 2. Multi-AZ deployments 3. Multi-Region architectures 4. AWS Global Accelerator 5. Disaster recovery strategies (backup/restore, pilot light, warm standby, multi-site) - Design scalable and loosely coupled architectures 1. Amazon API Gateway 2. Auto Scaling groups 3. Elastic Load Balancing 4. Amazon EventBridge 5. Amazon SQS and SNS

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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q943-Q948):

NEW QUESTION # 943
A company needs to store data from its healthcare application. The application's data frequently changes. A new regulation requires audit z access at all levels of the stored data.
The company hosts the application on an on-premises infrastructure that is running out of storage capacity. A solutions architect must securely migrate the existing data to AWS while satisfying the new regulation.
Which solution will meet these requirements?

A. Use Amazon S3 Transfer Acceleration to move the existing data to Amazon S3. Use AWS CloudTrail to log data events.
B. Use AWS Snowcone to move the existing data to Amazon $3. Use AWS CloudTrail to log management events.
C. Use AWS Storage Gateway to move the existing data to Amazon S3. Use AWS CloudTrail to log management events.
D. Use AWS DataSync to move the existing data to Amazon S3. Use AWS CloudTrail to log data events.

Answer: D

Explanation:
This answer is correct because it meets the requirements of securely migrating the existing data to AWS and satisfying the new regulation. AWS DataSync is a service that makes it easy to move large amounts of data online between on-premises storage and Amazon S3. DataSync automatically encrypts data in transit and verifies data integrity during transfer. AWS CloudTrail is a service that records AWS API calls for your account and delivers log files to Amazon S3. CloudTrail can log data events, which show the resource operations performed on or within a resource in your AWS account, such as S3 object-level API activity. By using CloudTrail to log data events, you can audit access at all levels of the stored data.
Reference:
https://docs.aws.amazon.com/datasync/latest/userguide/what-is-datasync.html
https://docs.aws.amazon.com/awscloudtrail/latest/userguide/logging-data-events-with-cloudtrail.html

NEW QUESTION # 944
A company is designing a website that displays stock market prices to users. The company wants to use Amazon ElastiCache Redis OSS for the data caching layer. The company needs to ensure that the website's data caching layer can automatically fail over to another node if necessary.
Which solution will meet this requirement?

A. Enable read replicas in ElastiCache Redis OSS. Promote the read replica when necessary.
B. Export a backup of the ElastiCache Redis OSS cache by using AWS Backup. Restore the cache to a second cluster when necessary.
C. Enable Multi-AZ in ElastiCache Redis OSS. Fail over to a second node when necessary.
D. Export a backup of the ElastiCache Redis OSS cache to an Amazon S3 bucket. Restore the cache to a second cluster when necessary.

Answer: C

Explanation:
ElastiCache for Redis OSS supportsMulti-AZ with automatic failover, which is exactly the feature required here. AWS documentation states that when Multi-AZ is enabled and the primary node fails, ElastiCache automatically promotes a read replica to primary, minimizing downtime and restoring write capability without requiring manual promotion steps. Backups are useful for recovery, but they do not provide automatic operational failover. A design that depends on manual promotion is also weaker than native automatic failover. Since the question explicitly asks for a solution that canautomatically fail over, the correct answer is to enableMulti-AZfor the replication group.

NEW QUESTION # 945
A company needs to give a globally distributed development team secure access to the company's AWS resources in a way that complies with security policies. The company currently uses an on-premises Active Directory for internal authentication. The company uses AWS Organizations to manage multiple AWS accounts that support multiple projects. The company needs a solution to integrate with the existing infrastructure to provide centralized identity management and access control. Which solution will meet these requirements with the LEAST operational overhead?

A. Set up AWS Directory Service to create an AWS managed Microsoft Active Directory on AWS.
Establish a trust relationship with the on-premises Active Directory. Use IAM roles that are assigned to Active Directory groups to access AWS resources within the company's AWS accounts.
B. Use AD Connector in AWS Directory Service to connect to the on-premises Active Directory.
Integrate AD Connector with AWS IAM Identity Center. Configure permissions sets to give each AD group access to specific AWS accounts and resources.
C. Create an IAM user for each developer. Manually manage permissions for each IAM user based on each user's involvement with each project. Enforce multi-factor authentication (MFA) as an additional layer of security.
D. Use Amazon Cognito to deploy an identity federation solution. Integrate the identity federation solution with the on-premises Active Directory. Use Amazon Cognito to provide access tokens for developers to access AWS accounts and resources.

Answer: B

Explanation:
UsingAD ConnectorwithAWS IAM Identity Center(formerly AWS Single Sign-On) allows the company to leverage its existingon-premises Active Directoryfor centralized identity management and access control. AD Connector acts as a proxy to the on-premises AD withoutrequiring additional infrastructure or complex setup. This solution integrates seamlessly with AWS, allowing the development team to use their existing AD credentials to access AWS resources across multiple accounts managed by AWS Organizations. The permissions for AWS resources can be managed centrally through IAM Identity Center by configuring permission sets.
This solution provides:
Least operational overhead: AD Connector is fully managed, and IAM Identity Center allows centralized management of permissions across accounts.
Secure access: The solution complies with security policies by using existing AD authentication mechanisms.
Option A (AWS Managed AD): Setting up a fully managed AWS AD and establishing a trust is more complex and involves additional operational overhead.
Option B (IAM Users): Manually managing IAM users and permissions is less scalable and increases operational complexity.
Option D (Cognito): Amazon Cognito is more suited for user-facing applications rather than internal identity management for AWS resources.

NEW QUESTION # 946
A company wants to run its experimental workloads in the AWS Cloud. The company has a budget for cloud spending. The company's CFO is concerned about cloud spending accountability for each department. The CFO wants to receive notification when the spending threshold reaches 60% of the budget.
Which solution will meet these requirements?

A. Use cost allocation tags on AWS resources to label owners. Use AWS Support API on AWS Trusted Advisor to create alert threshold notifications when spending exceeds 60% of the budget
B. Use AWS Cost Explorer forecasts to determine resource owners. Use AWS Cost Anomaly Detection to create alert threshold notifications when spending exceeds 60% of the budget.
C. Use AWS Cost Explorer forecasts to determine resource owners. Create usage budgets in AWS Budgets. Add an alert threshold to receive notification when spending exceeds 60% of the budget.
D. Use cost allocation tags on AWS resources to label owners. Create usage budgets in AWS Budgets. Add an alert threshold to receive notification when spending exceeds 60% of the budget.

Answer: D

Explanation:
This solution meets the requirements because it allows the company to track and manage its cloud spending by using cost allocation tags to assign costs to different departments, creating usage budgets to set spending limits, and adding alert thresholds to receive notifications when the spending reaches a certain percentage of the budget. This way, the company can monitor its experimental workloads and avoid overspending on the cloud.
References:
Using Cost Allocation Tags
Creating an AWS Budget
Creating an Alert for an AWS Budget

NEW QUESTION # 947
A company wants to migrate from an on-premises data center to AWS. The data center hosts a storage server that stores data in an NFS-based file system. The storage server stores 200 GB of data. The company needs to migrate the data without interruption to existing services. Multiple resources in AWS must be able to access the data by using the NFS protocol. Which combination of steps will meet these requirements MOST cost-effectively? (Select TWO.)

A. Create an Amazon S3 bucket to receive the data.
B. Install an AWS DataSync agent in the on-premises data center. Use a DataSync task between the on-premises file system and the AWS file system.
C. Create an Amazon FSx for Windows file system.
D. Create an Amazon Elastic File System (Amazon EFS) file system.
E. Create an Amazon FSx for Lustre file system.

Answer: B,D

Explanation:
Amazon EFS is a "fully managed, elastic, shared file system" that provides NFSv4 access across many EC2 instances and AZs, ideal for lift-and-shift of Linux NFS workloads. AWS DataSync
"automates moving data between on-premises NFS servers and Amazon EFS," performing incremental, parallel transfers with encryption and integrity checks, enabling cutover with minimal disruption. FSx for Lustre (A) targets HPC and S3-backed workloads, not general NFS shares.
FSx for Windows (D) exposes SMB, not NFS. S3 (C) is object storage and not directly NFS- accessible by multiple EC2 hosts. EFS + DataSync satisfies NFS compatibility, multi-client access, and low-touch migration while remaining cost-effective for a 200-GB dataset.

NEW QUESTION # 948
......

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