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Amazon SAA-C03 Exam Syllabus Topics:

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

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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q197-Q202):

NEW QUESTION # 197
[Design High-Performing Architectures]
A company has deployed a database in Amazon RDS for MySQL. Due to increased transactions, the database support team is reporting slow reads against the DB instance and recommends adding a read replica.
Which combination of actions should a solutions architect take before implementing this change? (Choose two.)

Answer: B,E

Explanation:
"An active, long-running transaction can slow the process of creating the read replica. We recommend that you wait for long-running transactions to complete before creating a read replica. If you create multiple read replicas in parallel from the same source DB instance, Amazon RDS takes only one snapshot at the start of the first create action. When creating a read replica, there are a few things to consider. First, you must enable automatic backups on the source DB instance by setting the backup retention period to a value other than 0. This requirement also applies to a read replica that is the source DB instance for another read replica"https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_ReadRepl.html


NEW QUESTION # 198
A company is planning to migrate customer records to an Amazon S3 bucket. The company needs to ensure that customer records are protected against unauthorized access and are encrypted in transit and at rest. The company must monitor all access to the S3 bucket.

Answer: B

Explanation:
Comprehensive and Detailed Explanation:
* Encryption at Rest: AWS Key Management Service (AWS KMS) provides centralized control over the cryptographic keys used to protect data. By using AWS KMS with Amazon S3, you can manage encryption keys and define policies to control access to them.
* Encryption in Transit: By enforcing the aws:SecureTransport condition in the S3 bucket policy, you ensure that all data is transmitted over HTTPS, protecting data in transit.
* Access Control: IAM policies allow you to define fine-grained permissions for users and roles, ensuring that only authorized entities can access the customer records.
* Monitoring: AWS CloudTrail provides a record of actions taken by a user, role, or AWS service in Amazon S3, enabling you to monitor access to the records.
References:
Protecting data using encryption
Using IAM policies to control access to Amazon S3 resources
Logging Amazon S3 API calls using AWS CloudTrail


NEW QUESTION # 199
A healthcare company is designing a system to store and manage logs in the AWS Cloud. The system ingests and stores logs in JSON format that contain sensitive patient information. The company must identify any sensitive data and must be able to search the log data by using SQL queries.
Which solution will meet these requirements?

Answer: A

Explanation:
AWS documentation states that Amazon Macie is the managed service designed to automatically identify and classify sensitive data stored in Amazon S3, including PII and healthcare-related identifiers.
Storing logs in Amazon S3 provides scalable, durable storage, and Amazon Athena can directly query JSON data stored in S3 using SQL.
Amazon Inspector (Option D) is for vulnerability scanning and does not identify sensitive data. DynamoDB with KMS (Option C) cannot detect sensitive information. EBS (Option B) requires custom tooling and does not support serverless SQL querying.


NEW QUESTION # 200
[Design High-Performing Architectures]
A company is migrating a distributed application to AWS The application serves variable workloads The legacy platform consists of a primary server trial coordinates jobs across multiple compute nodes The company wants to modernize the application with a solution that maximizes resiliency and scalability.
How should a solutions architect design the architecture to meet these requirements?

Answer: C

Explanation:
To maximize resiliency and scalability, the best solution is to use an Amazon SQS queue as a destination for the jobs. This decouples the primary server from the compute nodes, allowing them to scale independently. This also helps to prevent job loss in the event of a failure. Using an Auto Scaling group of Amazon EC2 instances for the compute nodes allows for automatic scaling based on the workload. In this case, it's recommended to configure the Auto Scaling group based on the size of the Amazon SQS queue, which is a better indicator of the actual workload than the load on the primary server or compute nodes. This approach ensures that the application can handle variable workloads, while also minimizing costs by automatically scaling up or down the compute nodes as needed.


NEW QUESTION # 201
[Design High-Performing Architectures]
A research laboratory needs to process approximately 8 TB of data The laboratory requires sub-millisecond latencies and a minimum throughput of 6 GBps for the storage subsystem Hundreds of Amazon EC2 instances that run Amazon Linux will distribute and process the data Which solution will meet the performance requirements?

Answer: D

Explanation:
Create an Amazon S3 bucket to store the raw data Create an Amazon FSx for Lustre file system that uses persistent SSD storage Select the option to import data from and export data to Amazon S3 Mount the file system on the EC2 instances. Amazon FSx for Lustre uses SSD storage for sub-millisecond latencies and up to 6 GBps throughput, and can import data from and export data to Amazon S3. Additionally, the option to select persistent SSD storage will ensure that the data is stored on the disk and not lost if the file system is stopped.


NEW QUESTION # 202
......

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