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| Section | Weight | Objectives |
|---|---|---|
| Design Cost-Optimized Architectures | 20% | - Cost-effective resource selection
|
| Design Resilient Architectures | 26% | - Fault tolerance and recovery
|
| Design High-Performing Architectures | 24% | - Performance scaling
|
| Design Secure Architectures | 30% | - Secure workloads and applications
|
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NEW QUESTION # 347
A company is preparing to launch a public-facing web application in the AWS Cloud. The architecture consists of Amazon EC2 instances within a VPC behind an Elastic Load Balancer (ELB). A third-party service is used for the DNS. The company's solutions architect must recommend a solution to detect and protect against large-scale DDoS attacks.
Which solution meets these requirements?
Answer: D
Explanation:
Explanation
https://aws.amazon.com/shield/faqs/
NEW QUESTION # 348
An insurance company wants to migrate an application that calculates insurance premiums to AWS. The company must run calculations immediately when a customer submits information through the application.
The application usually takes 10 seconds to process a calculation.
Which solution will meet this requirement?
Answer: C
Explanation:
The critical requirement is immediate processing upon customer submission, with a typical compute duration of about 10 seconds. This is an ideal fit for a synchronous, request-driven, serverless pattern: API Gateway + AWS Lambda. API Gateway provides a managed HTTPS front door for the application, handles request validation/throttling if needed, and integrates directly with Lambda. Lambda is designed for short-lived computations, scales automatically with request volume, and can complete 10-second tasks well within typical Lambda execution limits.
Option A therefore meets the requirement with low latency and minimal operational overhead. When a customer submits data, API Gateway invokes the Lambda function immediately, and the function returns the calculated premium response. This preserves an interactive user experience and avoids provisioning or managing servers. It also handles bursts gracefully because Lambda concurrency can scale quickly, and API Gateway can absorb high request rates.
Option B is unsuitable because launching a Spot instance per upload introduces significant startup latency (instance launch time) and is not reliable due to Spot interruptions. Option C and D are not "immediate":
Transfer Family is for file transfers, and scheduled EKS jobs or Batch jobs introduce queuing and scheduling delays. While Batch can be event-driven, it is typically used for longer-running or batch-oriented workloads and still has job-start overhead compared to Lambda.
Therefore, A best matches the requirements for immediate execution, scalability, and low operational burden while maintaining responsive performance for customers.
NEW QUESTION # 349
A company has deployed its application on Amazon EC2 instances with an Amazon RDS database. The company used the principle of least privilege to configure the database access credentials. The company's security team wants to protect the application and the database from SQL injection and other web-based attacks.
Which solution will meet these requirements with the LEAST operational overhead?
Answer: A
Explanation:
AWS WAF is a web application firewall that helps protect web applications from common web exploits that could affect application availability, compromise security, or consume excessive resources. AWS WAF allows users to create rules that block, allow, or count web requests based on customizable web security rules. One of the types of rules that can be created is an SQL injection rule, which allows users to specify a list of IP addresses or IP address ranges that they want to allow or block. By using AWS WAF to protect the application, the company can prevent SQL injection and other web-based attacks from reaching the application and the database.
RDS parameter groups are collections of parameters that define how a database instance operates. Users can modify the parameters in a parameter group to change the behavior and performance of the database. By using RDS parameter groups to configure the security settings, the company can enforce best practices such as disabling remote root login, requiring SSL connections, and limiting the maximum number of connections.
The other options are not correct because they do not effectively protect the application and the database from SQL injection and other web-based attacks. Using security groups and network ACLs to secure the database and application servers is not sufficient because they only filter traffic at the network layer, not at the application layer. Using AWS Network Firewall to protect the application and the database is not necessary because it is a stateful firewall service that provides network protection for VPCs, not for individual applications or databases. Using different database accounts in the application code for different functions is a good practice, but it does not prevent SQL injection attacks from exploiting vulnerabilities in the application code.
Reference:
AWS WAF
How AWS WAF works
Working with IP match conditions
Working with DB parameter groups
Amazon RDS security best practices
NEW QUESTION # 350
A company's infrastructure consists of Amazon EC2 instances and an Amazon RDS DB instance in a single AWS Region. The company wants to back up its data in a separate Region.
Which solution will meet these requirements with the LEAST operational overhead?
Answer: A
Explanation:
To back up EC2 instances and RDS DB instances in a separate Region with the least operational overhead, AWS Backup is a simple and cost-effective solution. AWS Backup can copy EC2 backups and RDS backups to another Region automatically and securely. AWS Backup also supports backup policies, retention rules, and monitoring features.
References:
What Is AWS Backup?
Cross-Region Backup
NEW QUESTION # 351
Both historical records and frequently accessed data are stored on an on-premises storage system.
The amount of current data is growing at an exponential rate. As the storage's capacity is nearing its limit, the company's Solutions Architect has decided to move the historical records to AWS to free up space for the active data.
Which of the following architectures deliver the best solution in terms of cost and operational management?
Answer: D
Explanation:
AWS DataSync makes it simple and fast to move large amounts of data online between on-premises storage and Amazon S3, Amazon Elastic File System (Amazon EFS), or Amazon FSx for Windows File Server. Manual tasks related to data transfers can slow down migrations and burden IT operations.
DataSync eliminates or automatically handles many of these tasks, including scripting copy jobs, scheduling, and monitoring transfers, validating data, and optimizing network utilization. The DataSync software agent connects to your Network File System (NFS), Server Message Block (SMB) storage, and your self-managed object storage, so you don't have to modify your applications.
DataSync can transfer hundreds of terabytes and millions of files at speeds up to 10 times faster than open-source tools, over the Internet or AWS Direct Connect links. You can use DataSync to migrate active data sets or archives to AWS, transfer data to the cloud for timely analysis and processing, or replicate data to AWS for business continuity. Getting started with DataSync is easy: deploy the DataSync agent, connect it to your file system, select your AWS storage resources, and start moving data between them. You pay only for the data you move.
Since the problem is mainly about moving historical records from on-premises to AWS, using AWS DataSync is a more suitable solution. You can use DataSync to move cold data from expensive on- premises storage systems directly to durable and secure long-term storage, such as Amazon S3 Glacier or Amazon S3 Glacier Deep Archive.
Hence, the correct answer is the option that says: Use AWS DataSync to move the historical records from on-premises to AWS. Choose Amazon S3 Glacier Deep Archive to be the destination for the data.
The following options are both incorrect:
- Use AWS Storage Gateway to move the historical records from on-premises to AWS. Choose Amazon S3 Glacier Deep Archive to be the destination for the data.
- Use AWS Storage Gateway to move the historical records from on-premises to AWS. Choose Amazon S3 Glacier to be the destination for the data. Modify the S3 lifecycle configuration to move the data from the Standard tier to Amazon S3 Glacier Deep Archive after 30 days.
Although you can copy data from on-premises to AWS with Storage Gateway, it is not suitable for transferring large sets of data to AWS. Storage Gateway is mainly used in providing low-latency access to data by caching frequently accessed data on-premises while storing archive data securely and durably in Amazon cloud storage services. Storage Gateway optimizes data transfer to AWS by sending only changed data and compressing data.
The option that says: Use AWS DataSync to move the historical records from on-premises to AWS.
Choose Amazon S3 Standard to be the destination for the data. Modify the S3 lifecycle configuration to move the data from the Standard tier to Amazon S3 Glacier Deep Archive after 30 days is incorrect because, with AWS DataSync, you can transfer data from on-premises directly to Amazon S3 Glacier Deep Archive. You don't have to configure the S3 lifecycle policy and wait for 30 days to move the data to Glacier Deep Archive.
References:
https://aws.amazon.com/datasync/faqs/
https://aws.amazon.com/storagegateway/faqs/
Check out these AWS DataSync and Storage Gateway Cheat Sheets: https://tutorialsdojo.com/aws- datasync/ https://tutorialsdojo.com/aws-storage-gateway/ AWS Storage Gateway vs DataSync: https://www.youtube.com/watch?v=tmfe1rO-AUs
NEW QUESTION # 352
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