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| Section | Weight | Objectives |
|---|
| Design Secure Architectures | 30% | - Design secure workloads and applications
- 1. Network security (VPC, security groups, NACLs)
- 2. Compliance and governance controls
- 3. Data protection and encryption (at rest/in transit)
- Design for security and threat detection
- 1. Monitoring and logging services
- 2. Incident response and security automation
- Design secure access to AWS resources
- 1. Security best practices and least privilege
- 2. Identity and access management (IAM, IAM Identity Center)
- 3. Multi-account access and control
- 4. Shared responsibility model
|
| Design Resilient Architectures | 26% | - Design for reliability and recovery
- 1. Failover and failback processes
- 2. Backup and restore mechanisms
- Design highly available and fault-tolerant architectures
- 1. Replication and disaster recovery strategies
- 2. Regions, Availability Zones, and edge locations
- 3. Load balancing and auto scaling
- Design decoupled and loosely coupled systems
- 1. Messaging and queue services
- 2. Serverless and managed service integration
- 3. Event-driven architectures
|
| Design High-Performing Architectures | 24% | - Design high-performance compute solutions
- 1. Compute options (EC2, Lambda, ECS, EKS)
- 2. Instance types and sizing
- 3. Scaling and performance optimization
- Design high-performance storage solutions
- 1. Caching and content delivery
- 2. Storage performance and durability
- 3. Storage types (object, block, file)
- Design high-performance networking solutions
- 1. Latency reduction and throughput optimization
- 2. Global acceleration and routing
- 3. Network architecture and connectivity
|
| Design Cost-Optimized Architectures | 20% | - Design cost-effective compute and network solutions
- 1. Serverless and pay-as-you-go models
- 2. Right-sizing and reserved instances
- 3. Data transfer cost optimization
- Identify cost-effective storage solutions
- 1. Storage classes and lifecycle policies
- 2. Data retention and archiving
- Control and monitor costs
- 1. Resource tagging and allocation
- 2. Cost management tools and alerts
|
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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q367-Q372):
NEW QUESTION # 367
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?
- A. implement the primary server and the compute nodes with Amazon EC2 instances that are managed in an Auto Scaling group Configure Amazon EventBridge (Amazon CloudWatch Events) as a destination for the jobs Configure EC2 Auto Scaling based on the load on the compute nodes
- B. Configure an Amazon Simple Queue Service (Amazon SQS) queue as a destination for the jobs Implement the compute nodes with Amazon EC2 instances that are managed in an Auto Scaling group.
Configure EC2 Auto Scaling to use scheduled scaling - C. Configure an Amazon Simple Queue Service (Amazon SQS) queue as a destination for the jobs Implement the compute nodes with Amazon EC2 Instances that are managed in an Auto Scaling group Configure EC2 Auto Scaling based on the size of the queue
- D. Implement the primary server and the compute nodes with Amazon EC2 instances that are managed In an Auto Scaling group. Configure AWS CloudTrail as a destination for the fobs Configure EC2 Auto Scaling based on the load on the primary server
Answer: C
NEW QUESTION # 368
[Design Resilient Architectures]
A company is launching a new gaming application. The company will use Amazon EC2 Auto Scaling groups to deploy the application. The application stores user data in a relational database.
The company has office locations around the world that need to run analytics on the user data in the database. The company needs a cost-effective database solution that provides cross-Region disaster recovery with low-latency read performance across AWS Regions.
Which solution will meet these requirements?
- A. Create an Amazon RDS Multi-AZ DB cluster deployment in the Region where the application is deployed. Ensure the company offices read from read replica instances.
- B. Create Amazon DynamoDB global tables. Deploy the tables to the Regions where the company offices are located and to the Region where the application is deployed. Ensure that each company office reads from the tables that are in the same Region as the office.
- C. Create an Amazon Aurora global database. Configure the primary cluster to be in the Region where the application is deployed. Configure the secondary Aurora replicas to be in the Regions where the company offices are located. Ensure the company offices read from the Aurora replicas.
- D. Create an Amazon ElastiCache for Redis cluster in the Region where the application is deployed. Create read replicas in Regions where the company offices are located. Ensure the company offices read from the read replica instances.
Answer: D
NEW QUESTION # 369
[Design Resilient Architectures]
A solutions architect is designing a shared storage solution for a web application that is deployed across multiple Availability Zones The web application runs on Amazon EC2 instances that arein an Auto Scaling group The company plans to make frequent changes to the content The solution must have strong consistency in returning the new content as soon as the changes occur.
Which solutions meet these requirements? (Select TWO)
- A. Use AWS DataSync to perform continuous synchronization of data between EC2 hosts in the Auto Scaling group
- B. Use AWS Storage Gateway Volume Gateway Internet Small Computer Systems Interface (iSCSI) block storage that is mounted to the individual EC2 instances
- C. Create an Amazon Elastic File System (Amazon EFS) file system Mount the EFS file system on the individual EC2 instances
- D. Create a shared Amazon Elastic Block Store (Amazon EBS) volume. Mount the EBS volume on the individual EC2 instances.
- E. Create an Amazon S3 bucket to store the web content Set the metadata for the Cache-Control header to no-cache Use Amazon CloudFront to deliver the content
Answer: C,E
Explanation:
These options are the most suitable ways to design a shared storage solution for a web application that is deployed across multiple Availability Zones and requires strong consistency. Option B uses Amazon Elastic File System (Amazon EFS) as a shared file system that can be mounted on multiple EC2 instances in different Availability Zones. Amazon EFS provides high availability, durability, scalability, and performance for file-based workloads. It also supports strong consistency, which means that any changes made to the file system are immediately visible to all clients. Option E uses Amazon S3 as a shared object store that can store the web content and serve it through Amazon CloudFront, a content delivery network (CDN). Amazon S3 provides high availability, durability, scalability, and performance for object-based workloads. It also supports strong consistency for read-after-write and list operations, which means that any changes made to the objects are immediately visible to all clients. By setting the metadata for the Cache-Control header to no-cache, the web content can be prevented from being cached by the browsers or the CDN edge locations, ensuring that the latest content is always delivered to the users.
Option A is not suitable because using AWS Storage Gateway Volume Gateway as a shared storage solution for a web application is not efficient or scalable. AWS Storage Gateway Volume Gateway is a hybrid cloud storage service that provides block storage volumes that can be mounted on-premises or on EC2 instances as iSCSI devices. It is useful for migrating or backing up data to AWS, but it is not designed for serving web content or providing strong consistency. Moreover, using Volume Gateway would incur additional costs and complexity, and it would not leverage the native AWS storage services.
Option C is not suitable because creating a shared Amazon EBS volume and mounting it on multiple EC2 instances is not possible or reliable. Amazon EBS is a block storage service that provides persistent and high-performance volumes for EC2 instances. However, EBS volumescan only be attached to one EC2 instance at a time, and they are constrained to a single Availability Zone. Therefore, creating a shared EBS volume for a web application that is deployed across multiple Availability Zones is not feasible. Moreover, EBS volumes do not support strong consistency, which means that any changes made to the volume may not be immediately visible to other clients.
Option D is not suitable because using AWS DataSync to perform continuous synchronization of data between EC2 hosts in the Auto Scaling group is not efficient or scalable. AWS DataSync is a data transfer service that helps you move large amounts of data to and from AWS storage services. It is useful for migrating or archiving data, but it is not designed for serving web content or providing strong consistency. Moreover, using DataSync would incur additional costs and complexity, and it would not leverage the native AWS storage services. Reference:
What Is Amazon Elastic File System?
What Is Amazon Simple Storage Service?
What Is Amazon CloudFront?
What Is AWS Storage Gateway?
What Is Amazon Elastic Block Store?
What Is AWS DataSync?
NEW QUESTION # 370
A company operates a data lake in Amazon S3 that stores large datasets in multiple formats. The company has an application that retrieves and processes subsets of data from multiple objects in the data lake based on filtering criteri a. For each data query, the application currently downloads the entire S3 object and performs transformations. The current process requires a large amount of transformation time.
The company wants a solution that will give the application the ability to query and filter directly on S3 objects without downloading the objects.
Which solution will meet these requirements?
- A. Use Amazon EMR to process and filter the objects.
- B. Use Amazon ElastiCache (Valkey) to cache the objects.
- C. Use Amazon Athena to query and filter the objects in Amazon S3.
- D. Use Amazon API Gateway to create an API to retrieve filtered results from Amazon S3.
Answer: C
Explanation:
The best solution to query and filter S3 data directly without downloading the full object is to use Amazon Athena.
Amazon Athena is an interactive query service that lets you use SQL to analyze structured, semi-structured, and unstructured data directly in Amazon S3, without needing to move or transform the data.
It supports formats like CSV, JSON, ORC, Parquet, and Avro and integrates with AWS Glue Data Catalog for schema management.
Athena is serverless, meaning there's no infrastructure to manage, and it's billed per query, which keeps it cost-effective.
Option B (EMR) is heavier and requires managing a cluster.
Option C (API Gateway) is not suited for querying S3 datasets.
Option D (ElastiCache) is a memory store, not a query engine.
Reference:
What is Amazon Athena?
NEW QUESTION # 371
An image-hosting company stores images as objects in Amazon S3 buckets. The company must prevent accidental exposure of the objects to the public. All S3 objects in the company's entire AWS account must remain private. Which solution will meet these requirements?
- A. Use AWS Resource Access Manager AWS RAM to find publicly accessible S3 buckets. Use Amazon SNS to invoke an AWS Lambda function when AWS RAM detects a change in S3 bucket policies. Configure the Lambda function to programmatically remediate each detected change.
- B. Use the S3 Block Public Access feature at the account level. Deploy the AWS Config s3-account- level-public-access-blocks rule and an AWS Systems Manager document to take automatic remediation actions when the rule is in the non-compliant state.
- C. Use AWS Trusted Advisor to find publicly accessible S3 buckets. Configure email notifications in Trusted Advisor when a change to S3 bucket policies is detected. Use the AWS CLI to change any S3 bucket policy that Trusted Advisor flags.
- D. Use Amazon GuardDuty to monitor S3 bucket policies. Create an automatic remediation action rule that uses an AWS Lambda function to remediate any change that makes the objects public.
Answer: B
Explanation:
The best answer is to enableS3 Block Public Access at the account leveland back it with theAWS Config s3-account-level-public-access-blocks ruleplus automated remediation. AWS states that S3 Block Public Access can be applied at the account level and overrides public bucket policies and ACLs so you can centrally prevent public access across the account. AWS Config provides a managed rule specifically for checking those account-level settings, and AWS Systems Manager includes an automation runbook to remediate drift. This is stronger and more scalable than relying on detection tools alone, because it both prevents exposure and automatically restores compliance if settings change.
NEW QUESTION # 372
......
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