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Amazon SAA-C03 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|
| Topic 1: Design Secure Architectures | 30% | - Design for security and threat detection
- 1. Incident response and security automation
- 2. Monitoring and logging services
- Design secure access to AWS resources
- 1. Shared responsibility model
- 2. Multi-account access and control
- 3. Security best practices and least privilege
- 4. Identity and access management (IAM, IAM Identity Center)
- Design secure workloads and applications
- 1. Compliance and governance controls
- 2. Data protection and encryption (at rest/in transit)
- 3. Network security (VPC, security groups, NACLs)
|
| Topic 2: Design Cost-Optimized Architectures | 20% | - Design cost-effective compute and network solutions
- 1. Right-sizing and reserved instances
- 2. Data transfer cost optimization
- 3. Serverless and pay-as-you-go models
- Identify cost-effective storage solutions
- 1. Storage classes and lifecycle policies
- 2. Data retention and archiving
- Control and monitor costs
- 1. Cost management tools and alerts
- 2. Resource tagging and allocation
|
| Topic 3: Design Resilient Architectures | 26% | - Design highly available and fault-tolerant architectures
- 1. Regions, Availability Zones, and edge locations
- 2. Replication and disaster recovery strategies
- 3. Load balancing and auto scaling
- Design decoupled and loosely coupled systems
- 1. Messaging and queue services
- 2. Event-driven architectures
- 3. Serverless and managed service integration
- Design for reliability and recovery
- 1. Backup and restore mechanisms
- 2. Failover and failback processes
|
| Topic 4: Design High-Performing Architectures | 24% | - Design high-performance storage solutions
- 1. Storage types (object, block, file)
- 2. Storage performance and durability
- 3. Caching and content delivery
- Design high-performance compute solutions
- 1. Compute options (EC2, Lambda, ECS, EKS)
- 2. Scaling and performance optimization
- 3. Instance types and sizing
- Design high-performance networking solutions
- 1. Network architecture and connectivity
- 2. Global acceleration and routing
- 3. Latency reduction and throughput optimization
|
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Amazon AWS Certified Solutions Architect - Associate SAA-C03 Prüfungsfragen mit Lösungen (Q862-Q867):
862. Frage
A finance company uses scheduled scripts to store and visualize stock market data in an Amazon DynamoDB table. The company deletes records after a month to optimize costs. However, the company needs a cost-optimized solution to generate reports and visualizations based on historical data. Which solution will meet these requirements?
- A. Use Amazon Kinesis Data Streams and Amazon Data Firehose to stream DynamoDB records to an Amazon S3 bucket. Load the data into Amazon Redshift. Use the built-in Amazon Redshift query editor to query the data to generate reports and visualization.
- B. Use an integration between DynamoDB and Amazon Redshift to load records directly into Amazon Redshift. Use the built-in Amazon Redshift query engine to generate reports and visualizations.
- C. Use Amazon Kinesis Data Streams and Amazon Data Firehose to stream DynamoDB records to an Amazon S3 bucket. Use Amazon Athena to query the data. Use Amazon QuickSight to generate reports and visualizations.
- D. Use AWS DMS to continuously copy DynamoDB records into an Amazon RDS database for long- term storage. Use Amazon QuickSight to generate reports and visualizations.
Antwort: C
Begründung:
Streaming the DynamoDB records to Amazon S3 by using Amazon Kinesis Data Streams and Amazon Data Firehose provides low-cost long-term storage for historical data. Amazon Athena can query the data directly in S3 without maintaining database infrastructure, and Amazon QuickSight can use that queried data to create reports and visualizations. This approach is the most cost-optimized because it separates inexpensive storage from pay-per-use analytics and visualization services.
863. Frage
[Design Secure Architectures]
An ecommerce company runs Its application on AWS. The application uses an Amazon Aurora PostgreSQL cluster in Multi-AZ mode for the underlying database. During a recent promotionalcampaign, the application experienced heavy read load and write load. Users experienced timeout issues when they attempted to access the application.
A solutions architect needs to make the application architecture more scalable and highly available.
Which solution will meet these requirements with the LEAST downtime?
- A. Create an Amazon ElastiCache for Redis cache. Replicate data from the Aurora cluster to Redis by using AWS Database Migration Service (AWS DMS) with a write-around approach.
- B. Modify the Aurora cluster and activate the zero-downtime restart (ZDR) feature. Use Database Activity Streams on the cluster to track the cluster status.
- C. Create an Amazon EventBndge rule that has the Aurora cluster as a source. Create an AWS Lambda function to log the state change events of the Aurora cluster. Add the Lambda function as a target for the EventBndge rule Add additional reader nodes to fail over to.
- D. Add additional reader instances to the Aurora cluster Create an Amazon RDS Proxy target group for the Aurora cluster.
Antwort: D
Begründung:
This solution directly addresses the scalability and high availability requirements with minimal downtime.
Additional Reader Instances: Adding more reader instances to the Aurora cluster will distribute the read load, improving the performance of the application under heavy read traffic. Aurora reader instances automatically replicate the data from the writer instance, enabling you to scale out read operations.
Amazon RDS Proxy: RDS Proxy improves database availability by managing database connections more efficiently and providing a connection pool. This reduces the overhead on the Aurora cluster during peak loads, further enhancing performance and availability without requiring changes to the application code.
Why Not Other Options?:
Option A (EventBridge and Lambda): This doesn't directly address the performance and availability issues. Logging state changes and adding reader nodes on failure events doesn't provide proactive scalability.
Option B (Zero-Downtime Restart and Activity Streams): Zero-Downtime Restart (ZDR) is useful for minimizing downtime during maintenance but doesn't directly improve scalability. Database Activity Streams are more for security monitoring than for performance enhancement.
Option D (ElastiCache for Redis): While adding a caching layer can help with read performance, it introduces complexity and may not be necessary if additional reader instances can handle the load.
AWS Reference:
Amazon Aurora Scaling- Information on scaling Aurora clusters with reader instances.
Amazon RDS Proxy- Details on how RDS Proxy can improve database performance and availability.
864. Frage
A gaming company is moving its public scoreboard from a data center to the AWS Cloud. The company uses Amazon EC2 Windows Server instances behind an Application Load Balancer to host its dynamic application. The company needs a highly available storage solution for the application. The application consists of static files and dynamic server-side code.
Which combination of steps should a solutions architect take to meet these requirements? (Select TWO.)
- A. Store the server-side code on Amazon FSx for Windows File Server. Mount the FSx for Windows File Server volume on each EC2 instance to share the files.
- B. Store the server-side code on Amazon Elastic File System (Amazon EFS). Mount the EFS volume on each EC2 instance to share the files.
- C. Store the static files on Amazon S3. Use Amazon CloudFront to cache objects at the edge.
- D. Store the server-side code on a General Purpose SSD (gp2) Amazon Elastic Block Store (Amazon EBS) volume. Mount the EBS volume on each EC2 instance to share the files.
- E. Store the static files on Amazon S3. Use Amazon ElastiCache to cache objects at the edge.
Antwort: A,C
Begründung:
A because Elasticache, despite being ideal for leaderboards per Amazon, doesn't cache at edge locations. D because FSx has higher performance for low latency needs. https://www.techtarget.com/searchaws/tip/Amazon-FSx-vs-EFS-Compare-the-AWS-file-services "FSx is built for high performance and submillisecond latency using solid-state drive storage volumes. This design enables users to select storage capacity and latency independently. Thus, even a subterabyte file system can have 256 Mbps or higher throughput and support volumes up to 64 TB." Amazon S3 is an object storage service that can store static files such as images, videos, documents, etc. Amazon EFS is a file storage service that can store files in a hierarchical structure and supports NFS protocol. Amazon FSx for Windows File Server is a file storage service that can store files in a hierarchical structure and supports SMB protocol. Amazon EBS is a block storage service that can store data in fixed-size blocks and attach to EC2 instances.
Based on these definitions, the combination of steps that should be taken to meet the requirements are:
a) Store the static files on Amazon S3. Use Amazon CloudFront to cache objects at the edge. d) Store the server-side code on Amazon FSx for Windows File Server. Mount the FSx for Windows File Server volume on each EC2 instance to share the files.
865. Frage
A company wants to restrict access to the content of one of its man web applications and to protect the content by using authorization techniques available on AWS. The company wants to implement a serverless architecture end an authentication solution for fewer tian 100 users. The solution needs to integrate with the main web application and serve web content globally. The solution must also scale as to company's user base grows while providing lowest login latency possible.
- A. Usa Amazon Cognito for authentication Use AWS Lambda tor authorization Use Amazon S3 Transfer Acceleration 10 serve the web application globally.
- B. Use AWS Directory Service for Microsoft Active Directory tor authentication Use AWS Lambda for authorization Use an Application Load Balancer to serve the web application globally
- C. Use Amazon Cognito tor authentication. Use Lambda#Edge tor authorization Use Amazon CloudFront 10 serve the web application globally
- D. Use AWS Directory Service for Microsoft Active Directory for authentication Use Lambda@Edge for authorization Use AWS Elastic Beanstalk to serve the web application.
Antwort: C
866. Frage
A company stores confidential data in an Amazon Aurora PostgreSQL database in the ap-southeast-3 Region The database is encrypted with an AWS Key Management Service (AWS KMS) customer managed key The company was recently acquired and must securely share a backup of the database with the acquiring company's AWS account in ap-southeast-3.
What should a solutions architect do to meet these requirements?
- A. Create a database snapshot Download the database snapshot Upload the database snapshot to an Amazon S3 bucket Update the S3 bucket policy to allow access from the acquiring company's AWS account
- B. Create a database snapshot Add the acquiring company's AWS account to the KMS key policy Share the snapshot with the acquiring company's AWS account
- C. Create a database snapshot Copy the snapshot to a new unencrypted snapshot Share the new snapshot with the acquiring company's AWS account
- D. Create a database snapshot that uses a different AWS managed KMS key Add the acquiring company's AWS account to the KMS key alias. Share the snapshot with the acquiring company's AWS account.
Antwort: C
867. Frage
......
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