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Amazon AWS-Solutions-Associate Exam Syllabus Topics:

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

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Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Sample Questions (Q629-Q634):

NEW QUESTION # 629
An application uses an Amazon RDS MySQL cluster for the database layer. Database growth requires periodic resizing of the instance. Currently, administrators check the available disk space manually once a week.
How can this process be improved?

A. Use the largest instance type for the database.
B. Use Auto Scaling to increase storage size.
C. Use Amazon CloudWatch to monitor storage capacity.
D. Use AWS CloudTrail to monitor storage capacity.

Answer: B

Explanation:
Explanation
https://aws.amazon.com/about-aws/whats-new/2019/06/rds-storage-auto-scaling/

NEW QUESTION # 630
A company's website hosted on Amazon EC2 instances processes classified data stored in Amazon S3 Due to security concerns, the company requires a pnvate and secure connection between its EC2 resources and Amazon S3.
Which solution meets these requirements?

A. Set up S3 bucket policies to allow access from a VPC endpomt.
B. Set up a NAT gateway to access resources outside the private subnet.
C. Set up an access key ID and a secret access key to access the S3 bucket.
D. Set up an 1AM policy to grant read-write access to the S3 bucket.

Answer: A

Explanation:
This solution meets the following requirements:
It is private and secure, as it allows the EC2 instances to access the S3 bucket without using the public internet. A VPC endpoint is a gateway that enables you to create a private connection between your VPC and another AWS service, such as S3, within the same Region. A VPC endpoint for S3 provides secure and direct access to S3 buckets and objects using private IP addresses from your VPC. You can also use VPC endpoint policies and S3 bucket policies to control the access to the S3 resources based on the endpoint, the IAM user, the IAM role, or the source IP address.
It is simple and scalable, as it does not require any additional AWS services, gateways, or NAT devices.
A VPC endpoint for S3 is a fully managed service that scales automatically with the network traffic.
You can create a VPC endpoint for S3 with a few clicks in the VPC console or with a simple API call.
You can also use the same VPC endpoint to access multiple S3 buckets in the same Region.
References:
VPC Endpoints - Amazon Virtual Private Cloud
Gateway VPC endpoints - Amazon Virtual Private Cloud
Using Amazon S3 with interface VPC endpoints - Amazon Simple Storage Service Using Amazon S3 with gateway VPC endpoints - Amazon Simple Storage Service

NEW QUESTION # 631
A company is designing a new application to collect data on user behavior tor analysis at a later time Amazon Kinesis Data Streams will be used to receive user interaction events. What should be done to ensure the event data is retained indefinitely?

A. Configure the stream to write records to an attached Amazon EBS volume.
B. Configure an Amazon EC2 consumer to read from the data stream and store records in Amazon SQS
C. Configure an Amazon Kinesis Data Firehose delivery stream to store data on Amazon S3.
D. Configure the stream data retention period to retain the data indefinitely.

Answer: C

NEW QUESTION # 632
In order for a table write to succeed, the provisioned throughput settings for the table and global secondary indexes, in DynamoDB, must have__________; otherwise, the write to the table will be throttled.

A. enough write capacity to accommodate the write
B. no additional write cost for the index
C. 100 bytes of overhead per index item
D. the size less than or equal to 1 KB

Answer: A

Explanation:
Explanation/Reference:
Explanation:
In order for a table write to succeed in DynamoDB, the provisioned throughput settings for the table and global secondary indexes must have enough write capacity to accommodate the write; otherwise, the write will be throttled.
http://docs.aws.amazon.com/amazondynamodb/latest/developerguide/GSI.html

NEW QUESTION # 633
A company has a Node.js application running on Amazon EC2 that currently retrieves data for customers from a DynamoDB table. The company is seeing many repeat queries for the same items, and the number of queries is continuing to increase as the application gains popularity.
What solution will reduce the number of read capacity units (RCUs) required while minimizing the amount of refactoring that must be done to the application?

A. Use a Lambda function to make concurrent requests for caching
B. Use Amazon ElastiCache to provide a caching layer
C. Use Amazon DynamoDB Accelerator (DAX) to provide a caching layer
D. Obtain Reserved Capacity for Amazon DynamoDB to manage the increased number of queries

Answer: C

Explanation:
https://aws.amazon.com/dynamodb/dax/
You do not need to modify application logic, since DAX is compatible with existing DynamoDB API calls.

NEW QUESTION # 634
......

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