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| Section | Weight | Objectives |
|---|
| Topic 1: Design Secure Architectures | 30% | - Appropriate data security controls
- 1. S3 bucket policies and access controls
- 2. AWS KMS, AWS CloudHSM
- 3. Security posture management
- 4. Encryption at rest and in transit
- Design secure access to AWS resources
- 1. Least privilege principles
- 2. IAM permissions boundaries
- 3. IAM users, groups, roles, and policies
- 4. AWS STS and temporary credentials
- Design secure application tiers
- 1. Public vs private subnets
- 2. Application security patterns
- 3. VPC architecture (subnets, ACLs, security groups)
- 4. AWS PrivateLink, VPC endpoints
|
| Topic 2: Design Resilient Architectures | 26% | - 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. Load balancing strategies
- 2. Multi-AZ deployments
- 3. Highly available architecture patterns
- 4. Auto Scaling groups
- Implement appropriate caching strategies
- 1. Amazon ElastiCache
- 2. Cache invalidation strategies
- 3. Amazon CloudFront
- 4. AWS Global Accelerator
|
| Topic 3: Design Cost-Optimized Architectures | 20% | - Design cost-optimized database solutions
- 1. Database caching strategies
- 2. DynamoDB on-demand vs provisioned
- 3. Amazon RDS, Aurora pricing
- 4. Cost-effective query patterns
- Design cost-optimized compute solutions
- 1. Auto Scaling cost optimization
- 2. Right-sizing resources
- 3. Reserved Instances vs On-Demand vs Spot
- 4. Savings Plans
- Design cost-optimized storage solutions
- 1. Cost-effective data storage patterns
- 2. S3 lifecycle policies
- 3. Intelligent Tiering
- 4. Storage Gateway
|
| Topic 4: Design High-Performing Architectures | 24% | - Design highly available and scalable storage solutions
- 1. Storage cost optimization
- 2. Data lifecycle management
- 3. Amazon EFS, EBS, FSx
- 4. Amazon S3 storage classes
- Identify elastic and scalable compute solutions
- 1. EC2 Auto Scaling
- 2. Container-based solutions
- 3. Serverless architectures
- 4. Amazon ECS, EKS, Lambda
- Design data transfer solutions
- 1. Network optimization
- 2. S3 Transfer Acceleration
- 3. AWS DataSync, Snow Family
|
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Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Sample Questions (Q285-Q290):
NEW QUESTION # 285
A solutions architect has configured the following 1AM policy.

Which action will be allowed by the policy?
- A. An AWS Lambda function can be deleted from the 220 100.16 0 20 network
- B. An AWS Lambda function can be deleted from the 100.220.0.0/20 network
- C. An AWS Lambda function can be created from any network.
- D. An AWS Lambda function can be deleted from any network.
Answer: A
NEW QUESTION # 286
A company is developing a highly available natural language processing (NLP) application. The application handles large volumes of concurrent requests. The application performs NLP tasks such as entity recognition, sentiment analysis, and key phrase extraction on text data.
The company needs to store data that the application processes in a highly available and scalable database.
Options:
- A. Create an Amazon SQS queue to buffer incoming requests. Deploy the NLP application on Amazon EC2 instances in an Auto Scaling group. Use Amazon Comprehend to perform NLP tasks. Store the processed data in an Amazon RDS database.
- B. Create an Amazon API Gateway WebSocket API endpoint to handle incoming requests. Configure the WebSocket API to invoke an AWS Lambda function for each request. Configure the Lambda function to call Amazon Textract to perform NLP tasks on the text data. Store the processed data in Amazon ElastiCache.
- C. Create an Amazon API Gateway REST API endpoint to handle incoming requests. Configure the REST API to invoke an AWS Lambda function for each request. Configure the Lambda function to call Amazon Comprehend to perform NLP tasks on the text data. Store the processed data in Amazon DynamoDB.
- D. Create an Amazon API Gateway HTTP API endpoint to handle incoming requests. Configure the HTTP API to invoke an AWS Lambda function for each request. Configure the Lambda function to call Amazon Translate to perform NLP tasks on the text data. Store the processed data in Amazon ElastiCache.
Answer: C
Explanation:
A). API Gateway + DynamoDB:Provides high scalability, low latency, and seamless integration with Amazon Comprehend for NLP tasks.
B). HTTP API + Translate + ElastiCache:Translate is not relevant for NLP tasks like sentiment analysis or entity recognition. ElastiCache is unsuitable for permanent storage.
C). SQS + EC2 + RDS:Increases complexity and operational overhead. RDS may not scale effectively for high concurrent loads.
D). WebSocket API + Textract:Textract is irrelevant for NLP tasks. WebSocket API is not the optimal choice for this use case.
References:Amazon Comprehend,Amazon DynamoDB
NEW QUESTION # 287
An image hosting company uploads its large assets to Amazon S3 Standard buckets The company uses multipart upload in parallel by using S3 APIs and overwrites if the same object is uploaded again. For the first
30 days after upload, the objects will be accessed frequently. The objects will be used less frequently after 30 days, but the access patterns for each object will be inconsistent The company must optimize its S3 storage costs while maintaining high availability and resiliency of stored assets.
Which combination of actions should a solutions architect recommend to meet these requirements? (Select TWO.)
- A. Move assets to S3 One Zone-Infrequent Access (S3 One Zone-IA) after 30 days.
- B. Move assets to S3 Standard-Infrequent Access (S3 Standard-IA) after 30 days
- C. Move assets to S3 Intelligent-Tiering after 30 days.
- D. Configure an S3 Lifecycle policy to clean up expired object delete markers.
- E. Configure an S3 Lifecycle policy to clean up incomplete multipart uploads.
Answer: C,E
Explanation:
S3 Intelligent-Tiering is a storage class that automatically moves data to the most cost-effective access tier based on access frequency, without performance impact, retrieval fees, or operational overhead1. It is ideal for data with unknown or changing access patterns, such as the company's assets. By moving assets to S3 Intelligent-Tiering after 30 days, the company can optimize its storage costs while maintaining high availability and resilience of stored assets.
S3 Lifecycle is a feature that enables you to manage your objects so that they are stored cost effectively throughout their lifecycle2. You can create lifecycle rules to define actions that Amazon S3 applies to a group of objects. One of the actions is to abort incomplete multipart uploads that can occur when an upload is interrupted. By configuring an S3 Lifecycle policy to clean up incomplete multipart uploads, the company can reduce its storage costs and avoid paying for parts that are not used.
Option C is incorrect because expired object delete markers are automatically deleted by Amazon S3 and do not incur any storagecosts3. Therefore, configuring an S3 Lifecycle policy to clean up expired object delete markers will not have any effect on the company's storage costs.
Option D is incorrect because S3 Standard-IA is a storage class for data that is accessed less frequently, but requires rapid access when needed1. It has a lower storage cost than S3 Standard, but it has a higher retrieval cost and a minimum storage duration charge of 30 days. Therefore, moving assets to S3 Standard-IA after 30 days may not optimize the company's storage costs if the assets are still accessed occasionally.
Option E is incorrect because S3 One Zone-IA is a storage class for data that is accessed less frequently, but requires rapid access when needed1. It has a lower storage cost than S3 Standard-IA, but it stores data in only one Availability Zone and has less resilience than other storage classes. It also has a higher retrieval cost and a minimum storage duration charge of 30 days. Therefore, moving assets to S3 One Zone-IA after 30 days may not optimize the company's storage costs if the assets are still accessed occasionally or require high availability.Reference URL: 1:https://docs.aws.amazon.com/AmazonS3/latest/userguide/storage-class-intro.
html 2: https://docs.aws.amazon.com/AmazonS3/latest/userguide/object-lifecycle-mgmt.html 3: https://docs.
aws.amazon.com/AmazonS3/latest/userguide/delete-or-empty-bucket.html#delete-bucket-considerations :
https://docs.aws.amazon.com/AmazonS3/latest/userguide/mpuoverview.html : https://aws.amazon.com
/certification/certified-solutions-architect-associate/
NEW QUESTION # 288
An organization is setting up a backup and restore system in AWS of their in premise system. The organization needs High Availability(HA) and Disaster Recovery(DR) but is okay to have a longer recovery time to save costs.
Which of the below mentioned setup options helps achieve the objective of cost saving as well as DR in the most effective way?
- A. Setup a small instance with AutoScaling; in case of DR start diverting all the load to AWS from on premise.
- B. Replicate on premise DB to EC2 at regular intervals and setup a scenario similar to the pilot light.
- C. Setup the backup data on S3 and transfer data to S3 regularly using the storage gateway.
- D. Setup pre-configured servers and create AMIs. Use EIP and Route 53 to quickly switch over to AWS from in premise.
Answer: C
Explanation:
AWS has many solutions for Disaster Recovery(DR) and High Availability(HA). When the organization wants to have HA and DR but are okay to have a longer recovery time they should select the option backup and restore with S3. The data can be sent to S3 using either Direct Connect, Storage Gateway or over the internet.
The EC2 instance will pick the data from the S3 bucket when started and setup the environment. This process takes longer but is very cost effective due to the low pricing of S3. In all the other options, the EC2 instance might be running or there will be AMI storage costs. Thus, it will be a costlier option. In this scenario the organization should plan appropriate tools to take a backup, plan the retention policy for data and setup security of the data.
http://d36cz9buwru1tt.cloudfront.net/AWS_Disaster_Recovery.pdf
NEW QUESTION # 289
A solutions architect is designing a customer-facing application for a company. The application's database will have a clearly defined access pattern throughout the year and will have a variable number of reads and writes that depend on the time of year. The company must retain audit records for the database for 7 days. The recovery point objective (RPO) must be less than 5 hours.
Which solution meets these requirements?
- A. Use Amazon RDS with Provisioned IOPS Activate the database auditing parameter Perform database snapshots every 5 hours
- B. Use Amazon Aurora MySQL with auto scaling. Activate the database auditing parameter
- C. Use Amazon DynamoDB with auto scaling Use on-demand backups and Amazon DynamoDB Streams
- D. Use Amazon Redshift. Configure concurrency scaling. Activate audit logging. Perform database snapshots every 4 hours.
Answer: D
NEW QUESTION # 290
......
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