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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Design Secure Architectures | 30% | - Determine appropriate data security controls
|
| Topic 2: Design High-Performing Architectures | 24% | - Determine high-performing database solutions
|
| Topic 3: Design Resilient Architectures | 26% | - Design highly available and/or fault-tolerant architectures
|
| Topic 4: Design Cost-Optimized Architectures | 20% | - Design cost-optimized compute solutions
|
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問題 #73
A company runs a fleet of web servers using an Amazon RDS for PostgreSQL DB instance After a routine compliance check, the company sets a standard that requires a recovery pant objective (RPO) of less than 1 second for all its production databases.
Which solution meets these requirement?
答案：B
解題說明：
This option is the most efficient because it uses a Multi-AZ deployment for the DB instance, which provides enhanced availability and durability for RDS database instances by automatically replicating the data to a standby instance in a different Availability Zone1. It also provides a recovery point objective (RPO) of less than 1 second for all its production databases, as the standby instance is kept in sync with the primary instance using synchronous physical replication2. This solution meets the requirement of requiring a RPO of less than
1 second for all its production databases. Option B is less efficient because it uses auto scaling for the DB instance in one Availability Zone, which is a way to automatically adjust the compute capacity of your DB instance based on load or a schedule3. However, this does not provide a RPO of less than 1 second for all its production databases, as it does not replicate the data to another Availability Zone. Option C is less efficient because it uses read replicas in a separate Availability Zone, which are read-only copies of your primary database that can serve read traffic and support scaling. However, this does not provide a RPO of less than 1 second for all its production databases, as read replicas use asynchronous replication and can lag behind the primary database. Option D is less efficient because it uses AWS Database Migration Service (AWS DMS) change data capture (CDC) tasks, which are tasks that capture changes made to source data and apply them to target data. However, this does not provide a RPO of less than 1 second for all its production databases, as AWS DMS uses asynchronous replication and can lag behind the source database.
問題 #74
A company is creating an application. The company stores data from tests of the application in multiple on- premises locations.
The company needs to connect the on-premises locations to VPCs in an AWS Region in the AWS Cloud. The number of accounts and VPCs will increase during the next year. The network architecture must simplify the administration of new connections and must provide the ability to scale.
Which solution will meet these requirements with the LEAST administrative overhead?
答案：B
解題說明：
AWS Transit Gateway simplifies network connectivity by acting as a hub that can connect VPCs and on- premises networks through VPN or Direct Connect. It provides scalability and reduces administrative overhead by eliminating the need to manage complex peering relationships as the number of accounts and VPCs grows.
Reference: AWS Documentation - Transit Gateway
問題 #75
A company deployed a web application that stores static assets in an Amazon Simple Storage Service (S3) bucket. The Solutions Architect expects the S3 bucket to immediately receive over 2000 PUT requests and 3500 GET requests per second at peak hour.
What should the Solutions Architect do to ensure optimal performance?
答案：D
解題說明：
Amazon S3 now provides increased performance to support at least 3,500 requests per second to add data and 5,500 requests per second to retrieve data, which can save significant processing time for no additional charge. Each S3 prefix can support these request rates, making it simple to increase performance significantly.
Applications running on Amazon S3 today will enjoy this performance improvement with no changes, and customers building new applications on S3 do not have to make any application customizations to achieve this performance. Amazon S3's support for parallel requests means you can scale your S3 performance by the factor of your compute cluster, without making any customizations to your application. Performance scales per prefix, so you can use as many prefixes as you need in parallel to achieve the required throughput. There are no limits to the number of prefixes.
This S3 request rate performance increase removes any previous guidance to randomize object prefixes to achieve faster performance. That means you can now use logical or sequential naming patterns in S3 object naming without any performance implications. This improvement is now available in all AWS Regions.
Using Byte-Range Fetches to retrieve multiple ranges of an object data per GET request is incorrect because although a Byte-Range Fetch helps you achieve higher aggregate throughput, Amazon S3 does not support retrieving multiple ranges of data per GET request. Using the Range HTTP header in a GET Object request, you can fetch a byte-range from an object, transferring only the specified portion. You can use concurrent connections to Amazon S3 to fetch different byte ranges from within the same object.
Fetching smaller ranges of a large object also allows your application to improve retry times when requests are interrupted.
Adding a random prefix to the key names is incorrect. Adding a random prefix is not required in this scenario because S3 can now scale automatically to adjust perfomance. You do not need to add a random prefix anymore for this purpose since S3 has increased performance to support at least 3,500 requests per second to add data and 5,500 requests per second to retrieve data, which covers the workload in the scenario.
Using a predictable naming scheme in the key names such as sequential numbers or date time sequences is incorrect because Amazon S3 already maintains an index of object key names in each AWS region. S3 stores key names in alphabetical order. The key name dictates which partition the key is stored in. Using a sequential prefix increases the likelihood that Amazon S3 will target a specific partition for a large number of your keys, overwhelming the I/O capacity of the partition. References:
https://docs.aws.amazon.com/AmazonS3/latest/dev/request-rate-perf-considerations.html
https://d1.awsstatic.com/whitepapers/AmazonS3BestPractices.pdf
https://docs.aws.amazon.com/AmazonS3/latest/dev/GettingObjectsUsingAPIs.html Check out this Amazon S3 Cheat Sheet:
https://tutorialsdojo.com/amazon-s3/
問題 #76
A company asks a solutions architect to review the architecture for its messaging application. The application uses TCP and UDP traffic. The company is planning to deploy a new VoIP feature, but its 10 test users in other countries are reporting poor call quality.
The VoIP application runs on an Amazon EC2 instance with more than enough resources. The HTTP portion of the company's application behind an Application Load Balancer has no issues.
What should the solutions architect recommend for the company to do to address the VoIP performance issues?
答案：C
解題說明：
AWS Global Accelerator is a service that improves global application availability and performance using the AWS global network. It supports both TCP and UDP protocols and provides optimized routing and lower latency for real-time applications such as VoIP, regardless of where the user is located globally.
AWS Documentation Extract:
"AWS Global Accelerator uses the AWS global network to optimize the path to your application endpoints, improving performance for TCP and UDP traffic, such as VoIP." (Source: AWS Global Accelerator documentation) B: CloudFront accelerates HTTP/S content, not TCP/UDP.
C: Route 53 geoproximity routing is for DNS-based routing, not for traffic acceleration.
D: Network Load Balancers support TCP/UDP, but do not address global latency or provide acceleration.
Reference: AWS Certified Solutions Architect - Official Study Guide, Networking Optimization.
問題 #77
A company seeks a storage solution for its application The solution must be highly available and scalable. The solution also must function as a file system, be mountable by multiple Linux instances in AWS and on premises through native protocols, and have no minimum size requirements. The company has set up a Site-to-Site VPN for access from its on-premises network to its VPC.
Which storage solution meets these requirements?
答案：D
解題說明：
Explanation
Amazon EFS is a fully managed file system that can be mounted by multiple Linux instances in AWS and on premises through native protocols such as NFS and SMB. Amazon EFS has no minimum size requirements and can scale up and down automatically as files are added and removed. Amazon EFS also supports high availability and durability by allowing multiple mount targets in different Availability Zones within a region.
Amazon EFS meets all the requirements of the question, while the other options do not. References:
* https://aws.amazon.com/efs/
* https://docs.aws.amazon.com/wellarchitected/latest/performance-efficiency-pillar/storage-architecture-sele
* https://aws.amazon.com/blogs/storage/from-on-premises-to-aws-hybrid-cloud-architecture-for-network-fil
問題 #78
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