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Amazon SAA-C03 Exam Syllabus Topics:

SectionWeightObjectives
Design Cost-Optimized Architectures20%- 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. Resource tagging and allocation
  • 2. Cost management tools and alerts
Design Resilient Architectures26%- Design decoupled and loosely coupled systems
  • 1. Messaging and queue services
  • 2. Serverless and managed service integration
  • 3. Event-driven architectures
- Design for reliability and recovery
  • 1. Backup and restore mechanisms
  • 2. Failover and failback processes
- Design highly available and fault-tolerant architectures
  • 1. Regions, Availability Zones, and edge locations
  • 2. Load balancing and auto scaling
  • 3. Replication and disaster recovery strategies
Design High-Performing Architectures24%- Design high-performance networking solutions
  • 1. Network architecture and connectivity
  • 2. Global acceleration and routing
  • 3. Latency reduction and throughput optimization
- Design high-performance compute solutions
  • 1. Scaling and performance optimization
  • 2. Instance types and sizing
  • 3. Compute options (EC2, Lambda, ECS, EKS)
- Design high-performance storage solutions
  • 1. Caching and content delivery
  • 2. Storage types (object, block, file)
  • 3. Storage performance and durability
Design Secure Architectures30%- Design for security and threat detection
  • 1. Incident response and security automation
  • 2. Monitoring and logging services
- Design secure access to AWS resources
  • 1. Identity and access management (IAM, IAM Identity Center)
  • 2. Shared responsibility model
  • 3. Multi-account access and control
  • 4. Security best practices and least privilege
- Design secure workloads and applications
  • 1. Data protection and encryption (at rest/in transit)
  • 2. Compliance and governance controls
  • 3. Network security (VPC, security groups, NACLs)

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Amazon AWS Certified Solutions Architect - Associate 認定 SAA-C03 試験問題 (Q88-Q93):

質問 # 88
A company wants to measure the effectiveness of its recent marketing campaigns. The company performs batch processing on csv files of sales data and stores the results in an Amazon S3 bucket once every hour. The S3 bi petabytes of objects. The company runs one-time queries in Amazon Athena to determine which products are most popular on a particular date for a particular region Queries sometimes fail or take longer than expected to finish.
Which actions should a solutions architect take to improve the query performance and reliability? (Select TWO.)

正解：C、D

解説：
https://aws.amazon.com/blogs/big-data/top-10-performance-tuning-tips-for-amazon-athena/ This solution meets the requirements of measuring the effectiveness of marketing campaigns by performing batch processing on csv files of sales data and storing the results in an Amazon S3 bucket once every hour. An AWS duo ETL process can use services such as AWS Glue or AWS Data Pipeline to extract data from S3, transform it into a more efficient format such as Apache Parquet, and load it back into S3. Apache Parquet is a columnar storage format that can improve the query performance and reliability of Athena by reducing the amount of data scanned, improving compression ratio, and enabling predicate pushdown.


質問 # 89
A company wants to manage Amazon Machine Images (AMIs). The company currently copies AMIs to the same AWS Region where the AMIs were created. The company needs to design an application that captures AWS API calls and sends alerts whenever the Amazon EC2 Createlmage API operation is called within the company's account.
Which solution will meet these requirements with the LEAST operational overhead?

正解：C

解説：
https://docs.aws.amazon.com/AWSEC2/latest/WindowsGuide/monitor-ami-events.html#:~:text=For%
20example%2C%20you%20can%20create%20an%20EventBridge%20rule%20that%20detects%20when%
20the%20AMI%20creation%20process%20has%20completed%20and%20then%20invokes%20an%
20Amazon%20SNS%20topic%20to%20send%20an%20email%20notification%20to%20you.
Creating an Amazon EventBridge (Amazon CloudWatch Events) rule for the CreateImage API call and configuring the target as an Amazon Simple Notification Service (Amazon SNS) topic to send an alert when a CreateImage API call is detected will meet the requirements with the least operational overhead. Amazon EventBridge is a serverless event bus that makes it easy to connect applications together using data from your own applications, integrated Software as a Service (SaaS) applications, and AWS services. By creating an EventBridge rule for the CreateImage API call, the company can set up alerts whenever this operation is called within their account. The alert can be sent to an SNS topic, which can then be configured to send notifications to the company's email or other desired destination.


質問 # 90
A company has Amazon EC2 instances that run nightly batch jobs to process data. The EC2 instances run in an Auto Scaling group that uses On-Demand billing. If a job fails on one instance: another instance will reprocess the job. The batch jobs run between 12:00 AM and 06 00 AM local time every day.
Which solution will provide EC2 instances to meet these requirements MOST cost-effectively'?

正解：D

解説：
This option is the most cost-effective solution because it leverages the Spot Instances, which are unused EC2 instances that are available at up to 90% discount compared to On-Demand prices. Spot Instances can be interrupted by AWS when the demand for On-Demand instances increases, but since the batch jobs are fault-tolerant and can be reprocessed by another instance, this is not a major issue. By using a launch template, the company can specify the configuration of the Spot Instances, such as the instance type, the operating system, and the user data. By using an Auto Scaling group, the company can automatically scale the number of Spot Instances based on the CPU usage, which reflects the load of the batch jobs. This way, the company can optimize the performance and the cost of the EC2 instances for the nightly batch jobs.
A: Purchase a 1-year Savings Plan for Amazon EC2 that covers the instance family of the Auto Scaling group that the batch job uses. This option is not optimal because it requires a commitment to a consistent amount of compute usage per hour for a one-year term, regardless of the instance type, size, region, or operating system.
This can limit the flexibility and scalability of the Auto Scaling group and result in overpaying for unused compute capacity. Moreover, Savings Plans do not provide a capacity reservation, which means the company still needs to reserve capacity with On-Demand Capacity Reservations and pay lower prices with Savings Plans.
B: Purchase a 1-year Reserved Instance for the specific instance type and operating system of the instances in the Auto Scaling group that the batch job uses. This option is not ideal because it requires a commitment to a specific instance configuration for a one-year term, which can reduce the flexibility and scalability of the Auto Scaling group and result in overpaying for unused compute capacity. Moreover, Reserved Instances do not provide a capacity reservation, which means the company still needs to reserve capacity with On-Demand Capacity Reservations and pay lower prices with Reserved Instances.
D: Create a new launch template for the Auto Scaling group Increase the instance size Set a policy to scale out based on CPU usage. This option is not cost-effective because it does not take advantage of the lower prices of Spot Instances. Increasing the instance size can improve the performance of the batch jobs, but it can also increase the cost of the On-Demand instances. Moreover, scaling out based on CPU usage can result in launching more instances than needed, which can also increase the cost of the system.
References:
1 Spot Instances - Amazon Elastic Compute Cloud
2 Launch templates - Amazon Elastic Compute Cloud
3 Auto Scaling groups - Amazon EC2 Auto Scaling
4 Savings Plans - Amazon EC2 Reserved Instances and Other AWS Reservation Models


質問 # 91
[Design Secure Architectures]
A company is storing backup files by using Amazon S3 Standard storage. The files are accessed frequently for 1 month. However, the files are not accessed after 1 month. The company must keep the files indefinitely.
Which storage solution will meet these requirements MOST cost-effectively?

正解：B

解説：
The storage solution that will meet these requirements most cost-effectively is B: Create an S3 Lifecycle configuration to transition objects from S3 Standard to S3 Glacier Deep Archive after 1 month. Amazon S3 Glacier Deep Archive is a secure, durable, and extremely low-cost Amazon S3 storage class for long-term retention of data that is rarely accessed and for which retrieval times of several hours are acceptable. It is the lowest-cost storage option in Amazon S3, making it a cost-effective choice for storing backup files that are not accessed after 1 month. You can use an S3 Lifecycle configuration to automatically transition objects from S3 Standard to S3 Glacier Deep Archive after 1 month. This will minimize the storage costs for the backup files that are not accessed frequently.


質問 # 92
A company has a fleet of running Spot EC2 instances behind an Application Load Balancer. The incoming traffic comes from various users across multiple AWS regions and you would like to have the user's session shared among the fleet of instances. You are required to set up a distributed session management layer that will provide a scalable and shared data storage for the user sessions.
Which of the following would be the best choice to meet the requirement while still providing sub- millisecond latency for the users?

正解：D

解説：
For sub-millisecond latency caching, ElastiCache is the best choice. In order to address scalability and to provide a shared data storage for sessions that can be accessed from any individual web server, you can abstract the HTTP sessions from the web servers themselves. A common solution for this is to leverage an In-Memory Key/Value store such as Redis and Memcached.

ELB sticky sessions is incorrect because the scenario does not require you to route a user to the particular web server that is managing that individual user's session. Since the session state is shared among the instances, the use of the ELB sticky sessions feature is not recommended in this scenario.
Multi-master DynamoDB and Multi-AZ RDS are incorrect. Although you can use DynamoDB and RDS for storing session state, these two are not the best choices in terms of cost-effectiveness and performance when compared to ElastiCache. There is a significant difference in terms of latency if you used DynamoDB and RDS when you store the session data. References:
https://aws.amazon.com/caching/session-management/
https://d0.awsstatic.com/whitepapers/performance-at-scale-with-amazon-elasticache.pdf Check out this Amazon Elasticache Cheat Sheet:
https://tutorialsdojo.com/amazon-elasticache/
Redis (cluster mode enabled vs disabled) vs Memcached:
https://tutorialsdojo.com/redis-cluster-mode-enabled-vs-disabled-vs-memcached/


質問 # 93
......

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