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Amazon AWS-Solutions-Architect-Associate Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Design Secure Architectures	30%	- Appropriate data security controls 1. Encryption at rest and in transit 2. AWS KMS, AWS CloudHSM 3. Security posture management 4. S3 bucket policies and access controls - Design secure access to AWS resources 1. IAM permissions boundaries 2. AWS STS and temporary credentials 3. Least privilege principles 4. IAM users, groups, roles, and policies - Design secure application tiers 1. Public vs private subnets 2. AWS PrivateLink, VPC endpoints 3. VPC architecture (subnets, ACLs, security groups) 4. Application security patterns
Topic 2: Design Resilient Architectures	26%	- Implement appropriate caching strategies 1. AWS Global Accelerator 2. Amazon ElastiCache 3. Cache invalidation strategies 4. Amazon CloudFront - Design highly available architectures 1. RTO and RPO considerations 2. Fault-tolerant design patterns 3. Amazon Route 53 routing policies 4. Disaster recovery strategies - Design multi-tier architectures 1. Highly available architecture patterns 2. Multi-AZ deployments 3. Auto Scaling groups 4. Load balancing strategies
Topic 3: Design High-Performing Architectures	24%	- Design data transfer solutions 1. AWS DataSync, Snow Family 2. Network optimization 3. S3 Transfer Acceleration - Identify elastic and scalable compute solutions 1. Container-based solutions 2. Serverless architectures 3. EC2 Auto Scaling 4. Amazon ECS, EKS, Lambda - Design highly available and scalable storage solutions 1. Data lifecycle management 2. Amazon EFS, EBS, FSx 3. Storage cost optimization 4. Amazon S3 storage classes
Topic 4: Design Cost-Optimized Architectures	20%	- Design cost-optimized storage solutions 1. Intelligent Tiering 2. S3 lifecycle policies 3. Cost-effective data storage patterns 4. Storage Gateway - Design cost-optimized compute solutions 1. Auto Scaling cost optimization 2. Savings Plans 3. Reserved Instances vs On-Demand vs Spot 4. Right-sizing resources - Design cost-optimized database solutions 1. Cost-effective query patterns 2. Database caching strategies 3. DynamoDB on-demand vs provisioned 4. Amazon RDS, Aurora pricing

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Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Sample Questions (Q449-Q454):

NEW QUESTION # 449
An AWS customer runs a public blogging website. The site users upload two million blog entries a month.
The average blog entry size is 200 KB. The access rate to blog entries drops to negligible 6 months after publication and users rarely access a blog entry 1 year after publication. Additionally, blog entries have a high update rate during the first 3 months following publication, this drops to no updates after 6 months.
The customer wants to use CloudFront to improve his user's load times.
Which of the following recommendations would you make to the customer?

A. Create a CloudFronl distribution with Restrict Viewer Access Forward Query string set to true and minimum TTL of 0.
B. Duplicate entries into two different buckets and create two separate CloudFront distributions where 53 access is restricted only to Cloud Front identity
C. Create a CloudFront distribution with "US" Europe price class for US/ Europe users and a different CloudFront distribution with Al l Edge Locations' for the remaining users.
D. Create a CloudFront distribution with 53 access restricted only to the CloudFront identity and partition the blog entry's location in 53 according to the month it was uploaded to be used with CloudFront behaviors.

Answer: D

NEW QUESTION # 450
A company is migrating on-premises database to AWS. The company's backend application produces a large amount of database queries for reporting purposes, and the company wants to offload some of these reads to a Read Replica, allowing the primary to continue performing efficiently.
Which AWS database platforms will accomplish this? (Select TWO.)

A. Amazon RDS for Microsoft SQL Server
B. Amazon RDS for MariaDB
C. Amazon DynamoDB
D. Amazon RDS for PostgreSQL
E. Amazon RDS for Oracle

Answer: C,D

NEW QUESTION # 451
A company wants to relocate its on-premises MySQL database to AWS. The database accepts regular imports from a client-facing application, which causes a high volume of write operations. The company is concerned that the amount of traffic might be causing performance issues within the application.

A. Provision an Amazon Elastic File System (Amazon EFS) file system in General Purpose performance mode. Monitor Amazon CloudWatch for IOPS bottlenecks. Change to Provisioned Throughput performance mode if necessary.
B. Provision an Amazon DocumentDB (with MongoDB compatibility) instance with a memory-optimized instance type. Monitor Amazon CloudWatch for performance-related issues. Change the instance class if necessary.
C. Provision an Amazon RDS for MySQL DB instance with General Purpose SSD storage. Place an Amazon ElastiCache cluster in front of the DB instance. Configure the application to query ElastiCache instead.
D. Provision an Amazon RDS for MySQL DB instance with Provisioned IOPS SSD storage. Monitor write operation metrics by using Amazon CloudWatch. Adjust the provisioned IOPS if necessary.

Answer: D

Explanation:
For a MySQL database experiencing high write operations, using Amazon RDS with Provisioned IOPS (io1 or io2) SSD storage is recommended to achieve consistent and low-latency performance. Provisioned IOPS allows you to specify a desired IOPS rate, which is crucial for write-intensive workloads.
Monitoring write operation metrics through Amazon CloudWatch enables you to observe performance and adjust the provisioned IOPS as needed to meet application demands.
References:
Modifying settings for Provisioned IOPS SSD storageAWS Documentation
Amazon CloudWatch metrics for Amazon RDSAWS Documentation

NEW QUESTION # 452
While performing the volume status checks, if the status is insufficient-data, what does it mean?

A. the check has passed
B. the check has failed
C. the checks may still be in progress on the volume

Answer: C

NEW QUESTION # 453
A company has two applications: a sender application that sends messages with payloads to be processed and a processing application intended to receive the messages with payloads. The company wants to implement an AWS service to handle messages between the two applications. The sender application can send about 1.000 messages each hour. The messages may take up to 2 days to be processed. If the messages fail to process, they must be retained so that they do not impact the processing of any remaining messages.
Which solution meets these requirements and is the MOST operationally efficient?

A. Use an Amazon Kinesis data stream to receive the messages from the sender application. Integrate the processing application with the Kinesis Client Library (KCL).
B. Integrate the sender and processor applications with an Amazon Simple Queue Service (Amazon SQS) queue. Configure a dead-letter queue to collect the messages that failed to process.
C. Subscribe the processing application to an Amazon Simple Notification Service (Amazon SNS) topic to receive notifications to process. Integrate the sender application to write to the SNS topic.
D. Set up an Amazon EC2 instance running a Redis database. Configure both applications to use the instance. Store, process, and delete the messages, respectively.

Answer: B

Explanation:
Explanation
https://aws.amazon.com/blogs/compute/building-loosely-coupled-scalable-c-applications-with-amazon-sqs-and-a
https://docs.aws.amazon.com/AWSSimpleQueueService/latest/SQSDeveloperGuide/sqs-dead-letter-queues.html

NEW QUESTION # 454
......

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