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Amazon SAA-C03 Exam Syllabus Topics:

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

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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q658-Q663):

NEW QUESTION # 658
A company needs to retain its AWS CloudTrail logs for 3 years. The company is enforcing CloudTrail across a set of AWS accounts by using AWS Organizations from the parent account. The CloudTrail target S3 bucket is configured with S3 Versioning enabled. An S3 Lifecycle policy is in place to delete current objects after 3 years.
After the fourth year of use of the S3 bucket, the S3 bucket metrics show that the number of objects has continued to rise. However, the number of new CloudTrail logs that are delivered to the S3 bucket has remained consistent.
Which solution will delete objects that are older than 3 years in the MOST cost-effective manner?

Answer: C

Explanation:
Explanation
https://docs.aws.amazon.com/awscloudtrail/latest/userguide/best-practices-security.html#:~:text=The%20CloudT


NEW QUESTION # 659
A solutions architect is designing a system to be highly resilient. The system uses Amazon Route 53 with health checks and an Application Load Balancer (ALB). The system is critical and must have the highest availability possible.

Answer: B

Explanation:
Amazon Route 53 health checks can automatically perform DNS failover to healthy endpoints. When integrated with an Application Load Balancer, this provides a highly resilient system architecture that automatically routes traffic to healthy resources across Regions or endpoints.
From AWS Documentation:
"Route 53 DNS failover automatically routes traffic away from unhealthy resources and directs it to healthy resources that you specify in DNS records." (Source: Amazon Route 53 Developer Guide - DNS Failover) Why B is correct:
* Route 53 health checks automatically monitor endpoint health and switch to a healthy target when the primary endpoint fails.
* The failover process is automatic, with no manual updates to DNS records required.
* Combined with ALB's built-in multi-AZ resilience, this provides maximum availability.
Why others are incorrect:
* A & C: Require manual DNS updates, which are not automatic and introduce latency.
* D: Creating new ALBs during failover increases downtime and is operationally inefficient.
References:
Amazon Route 53 Developer Guide - "Configuring DNS Failover"
AWS Well-Architected Framework - Reliability Pillar


NEW QUESTION # 660
[Design Secure Architectures]
A company has a large fleet of vehicles that are equipped with internet connectivity to send telemetry to the company. The company receives over 1 million data points every 5 minutes from the vehicles. The company uses the data in machine learning (ML) applications to predict vehicle maintenance needs and to preorder parts. The company produces visual reports based on the captured dat a. The company wants to migrate the telemetry ingestion, processing, and visualization workloads to AWS. Which solution will meet these requirements?

Answer: C

Explanation:
Amazon Timestream: Purpose-built time series database optimized for telemetry and IoT data ingestion and analytics.
Amazon SageMaker: Provides ML capabilities for predictive maintenance workflows.
Amazon QuickSight: Efficiently generates interactive, real-time visual reports from Timestream data.
Optimized for Scale: Timestream efficiently handles large-scale telemetry data with time-series indexing and queries.
Amazon Timestream Documentation


NEW QUESTION # 661
[Design Secure Architectures]
A company hosts its multi-tier applications on AWS. For compliance, governance, auditing, and security, the company must track configuration changes on its AWS resources and record a history of API calls made to these resources.
What should a solutions architect do to meet these requirements?

Answer: C

Explanation:
AWS Config is a fully managed service that allows the company to assess, audit, and evaluate the configurations of its AWS resources. It provides a detailed inventory of the resources in use and tracks changes to resource configurations. AWS Config can detect configuration changes and alert the company when changes occur. It also provides a historical view of changes, which is essential for compliance and governance purposes. AWS CloudTrail is a fully managed service that provides a detailed history of API calls made to the company's AWS resources. It records all API activity in the AWS account, including who made the API call, when the call was made, and what resources were affected by the call. This information is critical for security and auditing purposes, as it allows the company to investigate any suspicious activity that might occur on its AWS resources.


NEW QUESTION # 662
In a startup company you are working for, you are asked to design a web application that requires a NoSQL database that has no limit on the storage size for a given table. The startup is still new in the market and it has very limited human resources who can take care of the database infrastructure.
Which is the most suitable service that you can implement that provides a fully managed, scalable and highly available NoSQL service?

Answer: A

Explanation:
The term "fully managed" means that Amazon will manage the underlying infrastructure of the service hence, you don't need an additional human resource to support or maintain the service. Therefore, Amazon DynamoDB is the right answer. Remember that Amazon RDS is a managed service but not
"fully managed" as you still have the option to maintain and configure the underlying server of the database.
Amazon DynamoDB is a fast and flexible NoSQL database service for all applications that need consistent, single-digit millisecond latency at any scale. It is a fully managed cloud database and supports both document and key-value store models. Its flexible data model, reliable performance, and automatic scaling of throughput capacity make it a great fit for mobile, web, gaming, ad tech, IoT, and many other applications.
Amazon Neptune is incorrect because this is primarily used as a graph database.
Amazon Aurora is incorrect because this is a relational database and not a NoSQL database. SimpleDB is incorrect. Although SimpleDB is also a highly available and scalable NoSQL database, it has a limit on the request capacity or storage size for a given table, unlike DynamoDB.
Reference:
https://aws.amazon.com/dynamodb/
Check out this Amazon DynamoDB Cheat Sheet:
https://tutorialsdojo.com/amazon-dynamodb/
Amazon DynamoDB Overview:
https://www.youtube.com/watch?v=3ZOyUNIeorU


NEW QUESTION # 663
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