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Amazon AWS-Solutions-Associate Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Design Secure Architectures30%- Design secure workloads and applications
  • 1. Secrets management (AWS Secrets Manager, SSM Parameter Store)
    • 2. Data encryption at rest and in transit (KMS, TLS)
      - Design secure access to AWS resources
      • 1. Least privilege access design
        • 2. IAM users, roles, and policies
          • 3. Cross-account access strategies
            Topic 2: Design Resilient Architectures30%- Decoupling mechanisms
            • 1. SQS for messaging
              • 2. Event-driven architectures
                • 3. SNS for pub/sub notifications
                  - Highly available and fault-tolerant architectures
                  • 1. Auto Scaling strategies
                    • 2. Multi-AZ deployments
                      • 3. Load balancing (ELB, ALB, NLB)
                        Topic 3: Design High-Performing Architectures24%- Compute optimization
                        • 1. Lambda serverless design patterns
                          • 2. EC2 instance selection and scaling
                            - Storage and database performance
                            • 1. EBS, EFS, and S3 performance considerations
                              • 2. RDS vs DynamoDB selection patterns
                                Topic 4: Design Cost-Optimized Architectures16%- Cost-aware resource selection
                                • 1. Reserved Instances vs On-Demand vs Spot
                                  • 2. Right-sizing EC2 instances
                                    - Cost monitoring and optimization
                                    • 1. AWS Cost Explorer usage
                                      • 2. Storage lifecycle policies (S3)

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                                        Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Sample Questions (Q520-Q525):

                                        NEW QUESTION # 520
                                        A web application runs on Amazon EC2 instances behind an Application Load Balancer. The application allows users to create custom reports of historical weather data. Generating a report can take up to 5 minutes.
                                        These long-running requests use many of the available incoming connections, making the system unresponsive to other users.
                                        How can a solutions architect make the system more responsive?

                                        Answer: A


                                        NEW QUESTION # 521
                                        A company stores user data in AWS. The data is used continuously with peak usage during business hours.
                                        Access patterns vary, with some data not being used for months at a time.
                                        A solution architect must choose a cost that maintains the highest level ot durability while maintaining high availability.
                                        Which storage solution meets these requirements?

                                        Answer: A


                                        NEW QUESTION # 522
                                        A company is designing an application on AWS that provides real-time dashboards. The dashboard data comes from on-premises databases that use a variety of schemas and formats. The company needs a solution to transfer and transform the data to AWS with minimal latency.
                                        Which solution will meet these requirements?

                                        Answer: A

                                        Explanation:
                                        Amazon MSK is a fully managed, highly available Apache Kafka service for streaming data with low latency.
                                        Kafka Connect and stream processors enable ingest from heterogeneous sources and perform in-stream transformation before delivery to consumers (e.g., the dashboard service). This satisfies real-time updates from diverse schemas and formats. Kinesis alternatives could work, but among the given choices, MSK is the only streaming option designed for sub-second, continuous pipelines. Kinesis Data Firehose (B) buffers and batches data to S3 and is optimized for delivery to storage, not low-latency dashboards. AWS DMS schema conversion (C) focuses on database migration, not ongoing real-time, multi-format streaming for dashboards.
                                        AWS DataSync (D) is for file/object transfer, not database change streams. Hence, MSK best meets minimal- latency, transform-in-flight needs with managed operations.
                                        References: Amazon MSK - real-time streaming, low latency, Kafka Connect/Streams for transformations; Well-Architected Performance Efficiency - use streaming for real-time analytics.


                                        NEW QUESTION # 523
                                        An application runs on Amazon EC2 instances in an Auto Scaling group. When instances are terminated, the Systems Operations team cannot determine the route cause, because the logs reside on the terminated instances and are lost.
                                        How can the root cause be determined?

                                        Answer: B


                                        NEW QUESTION # 524
                                        A company plans to store sensitive user data on Amazon S3. Internal security compliance requirements mandate encryption of data before sending it to Amazon S3.
                                        What should a solutions architect recommend to satisfy these requirements?

                                        Answer: B

                                        Explanation:
                                        Explanation (AWS Docs):
                                        Although the question says "before sending it," AWS best practice for sensitive data is SSE-KMS (Server- side encryption with AWS KMS keys), which gives full key usage auditing. It integrates with AWS KMS and provides compliance-friendly encryption at rest automatically.
                                        "SSE-KMS uses AWS Key Management Service to manage encryption keys. SSE-KMS also provides an audit trail of key usage."
                                        - Protecting Data Using Server-Side Encryption
                                        Why not D?
                                        Client-side encryption requires custom key management and adds operational overhead. C is simpler and compliant.


                                        NEW QUESTION # 525
                                        ......

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