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Amazon SAA-C03 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Design High-Performing Architectures24%- Determine high-performing data ingestion and transformation solutions
  • 1. Amazon MSK
  • 2. AWS Glue
  • 3. Amazon Kinesis
  • 4. AWS Data Pipeline
- Determine high-performing and/or scalable network architectures
  • 1. AWS Global Accelerator
  • 2. Amazon CloudFront
  • 3. VPC endpoints
  • 4. Amazon Route 53
  • 5. AWS Direct Connect
- Determine high-performing database solutions
  • 1. Amazon Redshift
  • 2. Amazon ElastiCache (Redis/Memcached)
  • 3. Amazon RDS and Aurora
  • 4. Amazon DynamoDB
- Determine high-performing and/or scalable storage solutions
  • 1. Amazon EBS volume types
  • 2. Amazon S3 storage classes and lifecycle policies
  • 3. Amazon FSx
  • 4. Instance Store
  • 5. Amazon EFS
- Design high-performing and elastic compute solutions
  • 1. Amazon EC2 instance types and families
  • 2. AWS Elastic Beanstalk
  • 3. Amazon ECS and EKS
  • 4. AWS Lambda
Topic 2: Design Cost-Optimized Architectures20%- Design cost-optimized network architectures
  • 1. VPC endpoints to reduce NAT costs
  • 2. CloudFront to reduce origin load
  • 3. AWS Direct Connect for cost optimization
  • 4. Data transfer costs
- Design cost-optimized compute solutions
  • 1. Right-sizing instances
  • 2. Auto Scaling for cost optimization
  • 3. AWS Lambda pricing model
  • 4. EC2 purchasing options (On-Demand, Reserved, Spot, Savings Plans)
- Design cost-optimized storage solutions
  • 1. EBS volume type selection
  • 2. S3 storage classes and lifecycle policies
  • 3. EFS cost optimization
  • 4. S3 Intelligent-Tiering
- Design cost-optimized database solutions
  • 1. DynamoDB capacity modes (On-demand vs Provisioned)
  • 2. ElastiCache for caching
  • 3. RDS Reserved Instances
  • 4. Aurora Serverless
Topic 3: Design Secure Architectures30%- Design secure access to AWS resources
  • 1. AWS Organizations and SCPs
  • 2. Multi-factor authentication (MFA)
  • 3. Identity federation
  • 4. IAM policies and roles
- Determine appropriate data security controls
  • 1. Data encryption strategies
  • 2. Amazon Macie and GuardDuty
  • 3. Data classification
  • 4. Data backup and recovery
- Design secure workloads and applications
  • 1. AWS WAF and Shield
  • 2. Encryption at rest and in transit
  • 3. Security groups and NACLs
  • 4. AWS KMS and CloudHSM
Topic 4: Design Resilient Architectures26%- Design highly available and/or fault-tolerant architectures
  • 1. Multi-Region architectures
  • 2. Multi-AZ deployments
  • 3. AWS Global Accelerator
  • 4. Amazon Route 53 routing policies
  • 5. Disaster recovery strategies (backup/restore, pilot light, warm standby, multi-site)
- Design scalable and loosely coupled architectures
  • 1. Amazon SQS and SNS
  • 2. Amazon EventBridge
  • 3. Amazon API Gateway
  • 4. Elastic Load Balancing
  • 5. Auto Scaling groups

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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q193-Q198):

NEW QUESTION # 193
A media company collects and analyzes user activity data on premises. The company wants to migrate this capability to AWS. The user activity data store will continue to grow and will be petabytes in size. The company needs to build a highly available data ingestion solution that facilitates on-demand analytics of existing data and new data with SQL.
Which solution will meet these requirements with the LEAST operational overhead?

Answer: C

Explanation:
Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. You can start with just a few hundred gigabytes of data and scale to a petabyte or more. This allows you to use your data to gain new insights for your business and customers. The first step to create a data warehouse is to launch a set of nodes, called an Amazon Redshift cluster. After you provision your cluster, you can upload your data set and then perform data analysis queries. Regardless of the size of the data set, Amazon Redshift offers fast query performance using the same SQL-based tools and business intelligence applications that you use today.


NEW QUESTION # 194
A company runs an application on Amazon EC2 Instances in a private subnet. The application needs to store and retrieve data in Amazon S3 buckets. According to regulatory requirements, the data must not travel across the public internet.
What should a solutions architect do to meet these requirements MOST cost-effectively?

Answer: C

Explanation:
* Understanding the Requirement: The application running in a private subnet needs to store and retrieve data from S3 without data traveling over the public internet.
* Analysis of Options:
* NAT Gateway: Allows private subnets to access the internet but incurs additional costs and still routes traffic through the public internet.
* AWS Storage Gateway: Provides hybrid cloud storage solutions but is not the most cost-effective for direct S3 access from within the VPC.
* S3 Interface Endpoint: Provides private access to S3 but is generally used for specific use cases
* where more granular control is required, which might be overkill and more expensive.
* S3 Gateway Endpoint: Provides private, cost-effective access to S3 from within the VPC without routing traffic through the public internet.
* Best Solution:
* S3 Gateway Endpoint: This option meets the requirements for secure, private access to S3 from a private subnet most cost-effectively.
References:
* Amazon VPC Endpoints
* Gateway Endpoints


NEW QUESTION # 195
A company is launching a new application that will be hosted on Amazon EC2 instances. A solutions architect needs to design a solution that does not allow public IPv4 access that originates from the internet.
However, the solution must allow the EC2 instances to make outbound IPv4 internet requests.
The initial design proposal shows that the EC2 instances would be located in two private subnets across two Availability Zones. The entire architecture must be highly available.
How should the solutions architect change the architecture to meet these requirements?

Answer: B

Explanation:
A NAT gateway enables EC2 instances in private subnets to initiate outbound IPv4 internet requests while blocking inbound traffic from the internet. Deploying NAT gateways in public subnets across two Availability Zones ensures high availability and meets the requirement for outbound-only internet access.
* Option B: An internet gateway allows inbound and outbound traffic, violating the requirement to block public IPv4 access.
* Option C: A shared route table does not provide the desired separation of routing for highly available architecture.
* Option D: Egress-only internet gateways are designed for IPv6 traffic, not IPv4.
AWS Documentation References:
* NAT Gateway Overview
* Private Subnet Route Tables


NEW QUESTION # 196
An ecommerce company runs an application that uses an Amazon DynamoDB table in a single AWS Region.
The company wants to deploy the application to a second Region. The company needs to support multi-active replication with low latency reads and writes to the existing DynamoDB table in both Regions.
Which solution will meet these requirements in the MOST operationally efficient way?

Answer: C

Explanation:
Converting the existing DynamoDB table to aglobal tableprovides active-active replication and low-latency reads and writes in both Regions. DynamoDB global tables are specifically designed for multi-Region and multi-active use cases.
Option A:GSIs do not provide multi-Region replication or active-active capabilities.
Option B and D:Using DynamoDB Streams and custom replication is less operationally efficient than global tables and introduces additional complexity.
AWS Documentation References:
DynamoDB Global Tables


NEW QUESTION # 197
A company is storing petabytes of data in Amazon S3 Standard The data is stored in multiple S3 buckets and is accessed with varying frequency The company does not know access patterns for all the dat a. The company needs to implement a solution for each S3 bucket to optimize the cost of S3 usage.
Which solution will meet these requirements with the MOST operational efficiency?

Answer: C

Explanation:
Understanding the Requirement: The company has petabytes of data in S3 Standard across multiple buckets with varying access frequencies. They do not know the access patterns and need a cost-optimized storage solution with minimal operational effort.
Analysis of Options:
S3 Intelligent-Tiering: This storage class automatically moves data between two access tiers (frequent and infrequent) based on changing access patterns. It incurs a small monitoring and automation charge but eliminates the need to manually move data between storage classes.
S3 Storage Class Analysis Tool: While useful for determining access patterns, this tool requires manual intervention to move objects to the appropriate storage class, which increases operational overhead.
S3 Glacier Instant Retrieval: This storage class is designed for data that is rarely accessed but requires instant retrieval when needed. It may not be suitable for data with unknown and varying access patterns.
S3 One Zone-IA: This is a lower-cost option for infrequently accessed data stored in a single availability zone. It does not provide the same level of durability and availability as other options and requires knowledge of access patterns.
Best Option for Operational Efficiency:
S3 Intelligent-Tiering provides the best balance of cost savings and operational efficiency. It dynamically adjusts to access patterns without manual intervention, ensuring the company is only paying for what they need without the risk of incurring high costs for infrequent access data.
Reference:
Amazon S3 Intelligent-Tiering
Managing your storage lifecycle


NEW QUESTION # 198
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