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| Section | Weight | Objectives |
|---|
| Topic 1: Design Resilient Architectures | 26% | - Design highly available architectures
- 1. Fault-tolerant design patterns
- 2. Disaster recovery strategies
- 3. Amazon Route 53 routing policies
- 4. RTO and RPO considerations
- Design multi-tier architectures
- 1. Auto Scaling groups
- 2. Multi-AZ deployments
- 3. Highly available architecture patterns
- 4. Load balancing strategies
- Implement appropriate caching strategies
- 1. AWS Global Accelerator
- 2. Cache invalidation strategies
- 3. Amazon ElastiCache
- 4. Amazon CloudFront
|
| Topic 2: Design Cost-Optimized Architectures | 20% | - Design cost-optimized database solutions
- 1. DynamoDB on-demand vs provisioned
- 2. Cost-effective query patterns
- 3. Database caching strategies
- 4. Amazon RDS, Aurora pricing
- Design cost-optimized storage solutions
- 1. S3 lifecycle policies
- 2. Intelligent Tiering
- 3. Storage Gateway
- 4. Cost-effective data storage patterns
- Design cost-optimized compute solutions
- 1. Reserved Instances vs On-Demand vs Spot
- 2. Savings Plans
- 3. Auto Scaling cost optimization
- 4. Right-sizing resources
|
| Topic 3: Design Secure Architectures | 30% | - Design secure application tiers
- 1. AWS PrivateLink, VPC endpoints
- 2. VPC architecture (subnets, ACLs, security groups)
- 3. Public vs private subnets
- 4. Application security patterns
- Appropriate data security controls
- 1. AWS KMS, AWS CloudHSM
- 2. Security posture management
- 3. Encryption at rest and in transit
- 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. Least privilege principles
- 4. IAM permissions boundaries
|
| Topic 4: Design High-Performing Architectures | 24% | - Design data transfer solutions
- 1. S3 Transfer Acceleration
- 2. Network optimization
- 3. AWS DataSync, Snow Family
- Design highly available and scalable storage solutions
- 1. Data lifecycle management
- 2. Storage cost optimization
- 3. Amazon S3 storage classes
- 4. Amazon EFS, EBS, FSx
- Identify elastic and scalable compute solutions
- 1. Amazon ECS, EKS, Lambda
- 2. EC2 Auto Scaling
- 3. Container-based solutions
- 4. Serverless architectures
|
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Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Sample Questions (Q356-Q361):
NEW QUESTION # 356
A company has an application that is backed ny an Amazon DynamoDB table. The company's compliance requirements specify that database backups must be taken every month, must be available for 6 months, and must be retained for 7 years.
Which solution will meet these requirements?
- A. Create a DynamoDB on-damand backup of the DynamoDB table on the first day of each month Transition the backup to Amazon S3 Glacier Flexible Retrieval after 6 months. Create an S3 Lifecycle policy to delete backups that are older than 7 years.
- B. Use the AWS SDK to develop a script that creates an on-demand backup of the DynamoDB table. Set up an Amzon EvenlBridge rule that runs the script on the first day of each month. Create a second script that will run on the second day of each month to transition DynamoDB backups that are older than 6 months to cold storage and to delete backups that are older than 7 years.
- C. Create an AWS Backup plan to back up the DynamoDB table on the first day of each month. Specify a lifecycle policy that transitions the backup to cold storage after 6 months. Set the retention period for each backup to 7 years.
- D. Use the AWS CLI to create an on-demand backup of the DynamoDB table Set up an Amazon EventBridge rule that runs the command on the first day of each month with a cron expression Specify in the command to transition the backups to cold storage after 6 months and to delete the backups after 7 years.
Answer: C
Explanation:
This solution satisfies the requirements in the following ways:
* AWS Backup will automatically take full backups of the DynamoDB table on the schedule defined in the backup plan (the first of each month).
* The lifecycle policy can transition backups to cold storage after 6 months, meeting that requirement.
* Setting a 7-year retention period in the backup plan will ensure each backup is retained for 7 years as required.
* AWS Backup manages the backup jobs and lifecycle policies, requiring no custom scripting or management.
NEW QUESTION # 357
A solutions architect is designing the storage architecture for a new web application used for storing and viewing engineering drawings. All application components will be deployed on the AWS infrastructure. The application design must support caching to minimize the amount of time that users wait for the engineering drawings to load. The application must be able to store petabytes of data.
Which combination of storage and caching should the solutions architect use?
- A. Amazon S3 with Amazon CloudFront
- B. Amazon Elastic Block Store (Amazon EBS) volumes with Amazon CloudFront
- C. AWS Storage Gateway with Amazon ElastiCache
- D. Amazon S3 Glacier Deep Archive with Amazon ElastiCache
Answer: A
Explanation:
Amazon S3 with Amazon CloudFront:
Amazon S3 provides highly scalable and durable storage for petabytes of data.
Amazon CloudFront, as a content delivery network (CDN), caches frequently accessed data at edge locations to reduce latency. This combination is ideal for storing and accessing engineering drawings.
Incorrect Options Analysis:
Option B: Amazon S3 Glacier Deep Archive is for long-term archival storage, not frequent access.
Option C: Amazon EBS is unsuitable for large-scale, multi-user data access and does not support caching directly.
Option D: AWS Storage Gateway is for hybrid cloud storage, which is unnecessary for a fully cloud-based architecture.
References:
Amazon S3
Amazon CloudFront
NEW QUESTION # 358
An ecommerce company has an order-processing application that uses Amazon API Gateway and an AWS Lambda function. The application stores data in an Amazon Aurora PostgreSQL database. During a recent sales event, a sudden surge in customer orders occurred. Some customers experienced timeouts and the application did not process the orders of those customers A solutions architect determined that the CPU utilization and memory utilization were high on the database because of a large number of open connections The solutions architect needs to prevent the timeout errors while making the least possible changes to the application.
Which solution will meet these requirements?
- A. Create a read replica for the database in a different AWS Region Use query string parameters in API Gateway to route traffic to the read replica
- B. Configure provisioned concurrency for the Lambda function Modify the database to be a global database in multiple AWS Regions
- C. Migrate the data from Aurora PostgreSQL to Amazon DynamoDB by using AWS Database Migration Service (AWS DMS| Modify the Lambda function to use the OynamoDB table
- D. Use Amazon RDS Proxy to create a proxy for the database Modify the Lambda function to use the RDS Proxy endpoint instead of the database endpoint
Answer: D
Explanation:
Many applications, including those built on modern serverless architectures, can have a large number of open connections to the database server and may open and close database connections at a high rate, exhausting database memory and compute resources. Amazon RDS Proxy allows applications to pool and share connections established with the database, improving database efficiency and application scalability.
https://aws.amazon.com/id/rds/proxy/
NEW QUESTION # 359
A company has a multi-tier application deployed on several Amazon EC2 instances in an Auto Scaling group.
An Amazon RDS for Oracle instance is the application's data layer that uses Oracle-specific PL/SQL functions. Traffic to the application has been steadily increasing. This is causing the EC2 instances to become overloaded and the RDS instance to run out of storage. The Auto Scaling group does not have any scaling metrics and defines the minimum healthy instance count only. The company predicts that traffic will continue to increase at a steady but unpredictable rate before levelling off.
What should a solutions architect do to ensure the system can automatically scale for the increased traffic?
(Select TWO.)
- A. Migrate the database to Amazon Aurora to use Auto Scaling storage.
- B. Configure the Auto Scaling group to use the average CPU as the scaling metric
- C. Configure storage Auto Scaling on the RDS for Oracle Instance.
- D. Configure an alarm on the RDS for Oracle Instance for low free storage space
- E. Configure the Auto Scaling group to use the average free memory as the seeing metric
Answer: B,C
Explanation:
Auto scaling storage RDS will ease storage issues and migrating Oracle Pl/Sql to Aurora is cumbersome. Also Aurora has auto storage scaling by default.https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide
/USER_PIOPS.StorageTypes.html#USER_PIOPS.Autoscaling
NEW QUESTION # 360
A company is using a VPC peering strategy to connect its VPCs in a single Region to allow for cross-communication. A recent increase in account creations and VPCs has made it difficult to maintain the VPC peering strategy, and the company expects to grow to hundreds of VPCs. There are also new requests to create site-to-site VPNs with some of the VPCs. A solutions architect has been tasked with creating a centrally networking setup for multiple accounts, VPNS, and VPNs.
Which networking solution meets these requirements?
- A. Configure a transit gateway with AWS Transit Gateway and connected all VPCs and VPNs.
- B. Configure a hub-and-spoke and route all traffic through VPC peering.
- C. Configure shared VPCs and VPNs and share to each other
- D. Configure an AWS Direct Connect between all VPCs and VPNs.
Answer: B
NEW QUESTION # 361
......
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