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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Design Secure Architectures | 30% | - Secure workloads and applications
|
| Topic 2: Design Resilient Architectures | 26% | - Fault tolerance and recovery
|
| Topic 3: Design Cost-Optimized Architectures | 20% | - Cost management tools
|
| Topic 4: Design High-Performing Architectures | 24% | - Compute and storage optimization
|
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NEW QUESTION # 842
A company hosts a single-page application in an Amazon S3 bucket. The company has replicated the application to a second S3 bucket in a separate AWS Region. The company has users in Asia and Europe.
A solutions architect must design a solution that redirects each user ' s requests to the Region that is closest to the user.
Which solution will meet this requirement?
Answer: D
Explanation:
AWS documents that Lambda@Edge can customize CloudFront behavior at the edge and that CloudFront can change the origin domain name based on the viewer-country header. AWS also documents that CloudFront can route to origins based on request headers and other request characteristics. That makes CloudFront with Lambda@Edge the best fit for selecting the Region-specific S3 origin closest to users in Asia and Europe.
ALB is not the right service for S3-origin geolocation routing, and plain CloudFront cache behaviors alone do not perform this origin selection logic by viewer location without the edge customization. Therefore, Lambda@Edge plus CloudFront multi-origin selection is the correct design.
NEW QUESTION # 843
A company runs a highly available image-processing application on Amazon EC2 instances in a single VPC The EC2 instances run inside several subnets across multiple Availability Zones. The EC2 instances do not communicate with each other However, the EC2 instances download images from Amazon S3 and upload images to Amazon S3 through a single NAT gateway The company is concerned about data transfer charges What is the MOST cost-effective way for the company to avoid Regional data transfer charges?
Answer: A
NEW QUESTION # 844
An application is experiencing performance issues based on increased demand. This increased demand is on read-only historical records that are pulled from an Amazon RDS-hosted database with custom views and queries. A solutions architect must improve performance without changing the database structure.
Which approach will improve performance and MINIMIZE management overhead?
Answer: A
Explanation:
AWS recommends using Amazon ElastiCache as an in-memory caching layer in front of relational databases such as Amazon RDS to offload read traffic and significantly improve performance for read-heavy workloads.
ElastiCache (Redis OSS) provides microsecond latency and can cache the results of frequent or expensive queries without requiring any change to the underlying database schema or engine. This directly addresses the requirement to improve performance without changing the database structure and with minimal operational overhead, because ElastiCache is a fully managed service (patching, failure detection, replacement, etc., are handled by AWS).
Option A (DynamoDB) would require a full data migration and application changes, including schema and query rewrites.
Option C (Memcached on EC2) introduces additional management overhead for EC2 instances (scaling, patching, HA).
Option D (DAX) is a caching layer only for DynamoDB and cannot be used directly with Amazon RDS.
NEW QUESTION # 845
An ecommerce company is planning to migrate an on-premises Microsoft SQL Server database to the AWS Cloud. The company needs to migrate the database to SQL Server Always On availability groups. The cloud- based solution must be highly available.
Options:
Answer: B
Explanation:
* A. EC2 with EBS: Does not support SQL Server Always On availability groups effectively.
* B. RDS Multi-AZ: Provides high availability but does not support SQL Server Always On availability groups.
* C. EC2 with FSx for Windows: Best solution for SQL Server Always On as FSx provides shared storage compatible with SQL Server clustering.
* D. EC2 with S3: S3 is not suitable for SQL Server storage.
References: Amazon FSx for Windows
NEW QUESTION # 846
[Design High-Performing Architectures]
A company has created an image analysis application in which users can upload photos and add photo frames to their images. The users upload images and metadata to indicate which photo frames they want to add to their images. The application uses a single Amazon EC2 instance and Amazon DynamoDB to store the metadata.
The application is becoming more popular, and the number of users is increasing. The company expects the number of concurrent users to vary significantly depending on the time of day and day of week. The company must ensure that the application can scale to meet the needs of the growing user base.
Which solution meats these requirements?
Answer: C
Explanation:
https://www.quora.com/How-can-I-use-DynamoDB-for-storing-metadata-for-Amazon-S3-objects This solution meets the requirements of scalability, performance, and availability. AWS Lambda can process the photos in parallel and scale up or down automatically depending on the demand. Amazon S3 can store the photos and metadata reliably and durably, and provide high availability and low latency. DynamoDB can store the metadata efficiently and provide consistent performance. This solution also reduces the cost and complexity of managing EC2 instances and EBS volumes.
Option A is incorrect because storing the photos in DynamoDB is not a good practice, as it can increase the storage cost and limit the throughput. Option B is incorrect because Kinesis Data Firehose is not designed for processing photos, but for streaming data to destinations such as S3 or Redshift. Option D is incorrect because increasing the number of EC2 instances and usingProvisioned IOPS SSD volumes does not guarantee scalability, as it depends on the load balancer and the application code. It also increases the cost and complexity of managing the infrastructure.
Reference:
https://aws.amazon.com/certification/certified-solutions-architect-professional/
https://aws.amazon.com/architecture/
NEW QUESTION # 847
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