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| Section | Weight | Objectives |
|---|---|---|
| Design Cost-Optimized Architectures | 20% | - Cost-effective resource selection
|
| Design Resilient Architectures | 26% | - Highly available architecture
|
| Design Secure Architectures | 30% | - Secure access to AWS resources
|
| Design High-Performing Architectures | 24% | - Compute and storage optimization
|
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NEW QUESTION # 217
A company runs a Java-based job on an Amazon EC2 instance. The job runs every hour and takes 10 seconds to run. The job runs on a scheduled interval and consumes 1 GB of memory. The CPU utilization of the instance is low except for short surges during which the job uses the maximum CPU available. The company wants to optimize the costs to run the job.
Which solution will meet these requirements?
Answer: C
Explanation:
AWS Lambda is a serverless compute service that allows you to run code without provisioning or managing servers. You can create Lambda functions using various languages, including Java, and specify the amount of memory and CPU allocated to your function. Lambda charges you only for the compute time you consume, which is calculated based on the number of requests and the duration of your code execution. You can use Amazon EventBridge to trigger your Lambda function on a schedule, such as every hour, using cron or rate expressions. This solution will optimize the costs to run the job, as you will not pay for any idle time or unused resources, unlike running the job on an EC2 instance. References: 1: AWS Lambda - FAQs2, General Information section2: Tutorial: Schedule AWS Lambda functions using EventBridge3, Introduction section3:
Schedule expressions using rate or cron - AWS Lambda4, Introduction section.
NEW QUESTION # 218
A company is migrating mobile banking applications to run on Amazon EC2 instances in a VPC. Backend service applications run in an on-premises data center. The data center has an AWS Direct Connect connection into AWS. The applications that run in the VPC need to resolve DNS requests to an on-premises Active Directory domain that runs in the data center.
Which solution will meet these requirements with the LEAST administrative overhead?
Answer: A
Explanation:
Amazon Route 53 Resolver endpoints allow you to integrate DNS between AWS and on-premises environments easily. By creating inbound and outbound resolver endpoints, you can configure conditional forwarding rules so that DNS queries for your on-premises AD domain are forwarded to the on-premises DNS servers. This approach is fully managed, scales automatically, and requires the least administrative overhead.
AWS Documentation Extract:
"Route 53 Resolver provides DNS resolution between AWS and on-premises environments, using endpoints and forwarding rules to manage DNS query routing seamlessly." (Source: Route 53 Resolver documentation) A, D: Require provisioning, managing, and patching EC2 servers or domain controllers.
B: NS records in a private hosted zone do not provide true DNS forwarding.
NEW QUESTION # 219
A company runs applications on AWS that connect to the company's Amazon RDS database. The applications scale on weekends and at peak times of the year. The company wants to scale the database more effectively for its applications that connect to the database.
Which solution will meet these requirements with the LEAST operational overhead?
Answer: A
Explanation:
Amazon RDS Proxy is a fully managed, highly available database proxy for Amazon Relational Database Service (RDS) that makes applications more scalable, more resilient to database failures, and more secure1. RDS Proxy allows applications to pool and share connections established with the database, improving database efficiency and application scalability2. RDS Proxy also reduces failover times for Aurora and RDS databases by up to 66% and enables IAM authentication and Secrets Manager integration for database access1. RDS Proxy can be enabled for most applications with no code changes2.
NEW QUESTION # 220
[Design High-Performing Architectures]
A company's near-real-time streaming application is running on AWS. As the data is ingested, a Job runs on the data and takes 30 minutes to complete. The workload frequently experiences high latency due to large amounts of incoming dat a. A solutions architect needs to design a scalable and serverless solution to enhance performance.
Which combination of steps should the solutions architect take? (Select TWO.)
Answer: D
Explanation:
Understanding the Requirement: The company needs to design a scalable and serverless solution for a near-real-time streaming application that experiences high latency due to large amounts of incoming data. The job processing takes about 30 minutes.
Analysis of Options:
Amazon Kinesis Data Firehose: Provides a fully managed service for real-time data streaming and ingestion, allowing for seamless data delivery to destinations such as Amazon S3, Redshift, and Elasticsearch.
AWS Lambda with AWS Step Functions: While suitable for orchestration and lightweight processing, Lambda might not handle long-running jobs (max 15 minutes execution limit) efficiently.
AWS DMS: Primarily used for database migration, not for real-time data ingestion in this context.
Amazon EC2 in Auto Scaling Group: Provides scalability but involves managing servers, which is not serverless and adds operational overhead.
AWS Fargate with ECS: Offers a serverless compute engine for containers, allowing easy scaling and management without managing the underlying infrastructure.
Best Solution:
Amazon Kinesis Data Firehose: For ingesting the streaming data efficiently.
AWS Fargate with ECS: For processing the data in a scalable and serverless manner.
Reference:
Amazon Kinesis Data Firehose
AWS Fargate
NEW QUESTION # 221
A solutions architect must design a solution that uses Amazon CloudFront with an Amazon S3 origin to serve a static website. The solution must use AWS WAF to inspect all website traffic.
Answer: C
Explanation:
The correct and secure approach is to use Amazon CloudFront with Origin Access Control (OAC) to protect the S3 origin and attach AWS WAF to the CloudFront distribution to inspect and filter traffic at the edge before reaching the origin.
From AWS Documentation:
"AWS WAF is integrated with Amazon CloudFront, allowing inspection of HTTP(S) requests at the edge location before forwarding to your origin. To restrict direct access to the S3 bucket, use Origin Access Control (OAC)." (Source: Amazon CloudFront Developer Guide - Serving private content) Why Option D is correct:
CloudFront is the only service that integrates with AWS WAF for full HTTP layer inspection.
Origin Access Control (OAC) ensures that only CloudFront can access the S3 origin-replacing older Origin Access Identity (OAI) features.
The S3 bucket policy is configured to trust requests only from CloudFront using OAC signed requests.
Why the other options are incorrect:
Option A: WAF ARN is not a principal in S3 bucket policy. IAM does not support bucket policies based on WAF ARNs.
Option B: Incorrect - CloudFront doesn ' t " forward requests to WAF " ; rather, WAF is associated with CloudFront and inspects requests at the edge.
Option C: S3 does not use security groups; they are for EC2/network interfaces. This shows a misunderstanding of how S3 works.
References:
Amazon CloudFront Developer Guide - " Serving Private Content with OAC " AWS WAF Developer Guide - " Protecting CloudFront with AWS WAF " AWS Well-Architected Framework - Security Pillar
NEW QUESTION # 222
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