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| Certification Vendor: | Amazon AWS |
|---|---|
| Exam Name: | AWS Certified Solutions Architect - Professional |
| Exam Number: | SAP-C02 |
| Related Certifications: | AWS Certified DevOps Engineer - Professional AWS Certified Solutions Architect - Associate AWS Certified Security - Specialty |
| Exam Duration: | 180 minutes |
| Available Languages: | Japanese, Portuguese (Brazil), Korean, English, Simplified Chinese, Spanish (Latin America) |
| Real Exam Qty: | 75 (65 scored, 10 unscored) |
| Exam Price: | 300 USD |
| Certificate Validity Period: | 3 years |
| Passing Score: | 750 (scaled score 100–1000) |
| Exam Format: | Multiple choice, Multiple response, Scenario-based questions |
| Recommended Training: | AWS Official Exam Guide AWS Training and Certification |
| Exam Registration: | AWS Official Registration Pearson VUE |
| Sample Questions: | Amazon SAP-C02 Sample Questions |
| Exam Way: | Online proctored or onsite testing at authorized centers (Pearson VUE, PSI) |
| Pre Condition: | No mandatory prerequisites; recommended: 2+ years of hands-on experience designing and implementing cloud solutions on AWS, AWS Certified Solutions Architect - Associate certification |
| Official Syllabus URL: | https://docs.aws.amazon.com/aws-certification/latest/examguides/solutions-architect-professional-02.html |
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SAP-C02考試測試候選人在設計和部署規模化的AWS解決方案方面的技能，包括設計和部署多層應用程序、設計和部署高可用性和容錯系統以及設計和部署安全合規的AWS解決方案。考試還涵蓋高級主題，例如為數據管理設計和部署AWS服務、為網絡設計和部署AWS服務以及為安全合規設計和部署AWS服務。
SAP-C02考試是一個具有挑戰性的考試，需要廣泛的準備和學習。然而，獲得此認證可以為IT專業人士打開廣泛的職業機會，包括AWS解決方案架構師、AWS顧問和雲架構師等角色。此外，此認證展示了對AWS架構的高水平專業知識，可以在競爭激烈的就業市場中幫助專業人士脫穎而出。
Amazon SAP-C02 認證考試旨在測試尋求高級認證的AWS解決方案架構師的技能和知識。這個認證對於已經獲得AWS認證解決方案架構師-副級認證並希望將自己的專業知識提升到更高水平的人士來說是理想的選擇。SAP-C02 考試旨在測試候選人在AWS上設計和部署高度可擴展、容錯、安全的應用能力。
問題 #533
A company uses Amazon S3 to store files and images in a variety of storage classes. The company's S3 costs have increased substantially during the past year.
A solutions architect needs to review data trends for the past 12 months and identity the appropriate storage class for the objects.
Which solution will meet these requirements?
答案：A
解題說明：
Explanation
https://docs.aws.amazon.com/AmazonS3/latest/userguide/storage_lens.html
問題 #534
A company hosts a web application that tuns on a group of Amazon EC2 instances that ate behind an Application Load Balancer (ALB) in a VPC. The company wants to analyze the network payloads lo reverse-engineer a sophisticated attack of the application.
Which approach should the company take to achieve this goal?
答案：C
解題說明：
Traffic Mirroring allows to copy network traffic from a network interface to a destination network interface, Amazon EC2 instance or Amazon S3 bucket. The company can use Traffic Mirroring to analyze network payloads, detect sophisticated attacks and reverse-engineer the same.
問題 #535
A company is running an application in the AWS Cloud. Recent application metrics show inconsistent response times and a significant increase in error rates. Calls to third-party services are causing the delays. Currently, the application calls third-party services synchronously by directly invoking an AWS Lambda function.
A solutions architect needs to decouple the third-party service calls and ensure that all the calls are eventually completed.
Which solution will meet these requirements?
答案：A
解題說明：
Using an SQS queue to store events and invoke the Lambda function will decouple the third-party service calls and ensure that all the calls are eventually completed. SQS allows you to store messages in a queue and process them asynchronously, which eliminates the need for the application to wait for a response from the third-party service. The messages will be stored in the SQS queue until they are processed by the Lambda function, even if the Lambda function is currently unavailable or busy. This will ensure that all the calls are eventually completed, even if there are delays or errors. AWS Step Functions state machines can also be used to pass events to the Lambda function, but it would require additional management and configuration to set up the state machine, which would increase operational overhead.
Amazon EventBridge rule can also be used to pass events to the Lambda function, but it would not provide the same level of decoupling and reliability as SQS. Using Amazon Simple Notification Service (Amazon SNS) topic to store events and Invoke the Lambda function, is similar to SQS, but SNS is a publish-subscribe messaging service and SQS is a queue service.
SNS is used for sending messages to multiple recipients, SQS is used for sending messages to a single recipient, so SQS is more appropriate for this use case.
問題 #536
A company that provisions job boards for a seasonal workforce is seeing an increase in traffic and usage. The backend services run on a pair of Amazon EC2 instances behind an Application Load Balancer with Amazon DynamoDB as the datastore. Application read and write traffic is slow during peak seasons.
Which option provides a scalable application architecture to handle peak seasons with the LEAST development effort?
答案：A
解題說明：
* Option C is correct because using Auto Scaling groups for the backend services allows the company to scale up or down the number of EC2 instances based on the demand and traffic. This way, the backend services can handle more requests during peak seasons without compromising performance or availability. Using DynamoDB auto scaling allows the company to adjust the provisioned read andwrite capacity of the table or index automatically based on the actual traffic patterns. This way, the table or index can handle sudden increases or decreases in workload without throttling or overprovisioning1.
* Option A is incorrect because migrating the backend services to AWS Lambda may require significant development effort to rewrite the code and test the functionality. Moreover, increasing the read and write capacity of DynamoDB manually may not be efficient or cost-effective, as it does not account for the variability of the workload. The company may end up paying for unused capacity or experiencing throttling if the workload exceeds the provisioned capacity1.
* Option B is incorrect because migrating the backend services to AWS Lambda may require significant development effort to rewrite the code and test the functionality. Moreover, configuring DynamoDB to use global tables may not be necessary or beneficial for the company, as global tables are mainly used for replicating data across multiple AWS Regions for fast local access and disaster recovery. Global tables do not automatically scale the provisioned capacity of each replica table; they still require manual or auto scaling settings2.
* Option D is incorrect because using Amazon Simple Queue Service (Amazon SQS) and an AWS Lambda function to write to DynamoDB may introduce additional complexity and latency to the application architecture. Amazon SQS is a message queue service that decouples and coordinates the components of a distributed system. AWS Lambda is a serverless compute service that runs code in response to events. Using these services may require significant development effort to integrate them with the backend services and DynamoDB. Moreover, they may not improve the read performance of DynamoDB, which may also be affected by high traffic3.
:
Auto Scaling groups
DynamoDB auto scaling
AWS Lambda
DynamoDB global tables
AWS Lambda vs EC2: Comparison of AWS Compute Resources - Simform
Managing throughput capacity automatically with DynamoDB auto scaling - Amazon DynamoDB AWS Aurora Global Database vs. DynamoDB Global Tables Amazon Simple Queue Service (SQS)
問題 #537
A company runs a web-crawling process on a list of target URLs to obtain training documents for machine learning (ML) training algorithms. A fleet of Amazon EC2 t2.micro instances pulls the target URLs from an Amazon SQS queue. The instances write the result of the crawling algorithm as a CSV file to an Amazon EFS volume. The EFS volume is mounted on all instances in the fleet.
A second system occasionally adds the URLs to the SQS queue. The EC2 instances crawl each new URL in
10 seconds or less.
Metrics indicate that some instances are idle when no URLs are in the SQS queue. A solutions architect needs to redesign the architecture to optimize costs.
Which combination of steps will meet these requirements MOST cost-effectively? (Select TWO.)
答案：D,E
解題說明：
The current architecture uses a fleet of small EC2 instances that poll SQS for URLs and write results to EFS.
Because URLs arrive only occasionally and each crawl takes 10 seconds or less, EC2 instances are often idle waiting for messages. This leads to unnecessary compute and storage costs.
This workload is naturally event-driven: each URL in the SQS queue triggers a short-lived crawl operation.
AWS Lambda is well suited for such event-driven, short-duration tasks. Lambda integrates natively with Amazon SQS as an event source, which allows Lambda to poll the SQS queue automatically and invoke functions when messages arrive, scaling the concurrency up and down as needed. When there are no messages, there are no Lambda invocations and no compute charges, eliminating the cost of idle EC2 instances.
For storage of crawl results, Amazon S3 is a highly durable, cost-effective object store. The current use of an EFS file system mounted on all instances is no longer necessary if each Lambda invocation can write the output directly to S3 as objects (for example, CSV files). S3 charges only for the storage used and requests, and does not require continuously running file system infrastructure.
Option B replaces the idle fleet of EC2 instances with a Lambda function that reads from SQS. This aligns compute usage with actual work and takes advantage of serverless scaling and pricing.
Option E modifies the web-crawling process to store results in Amazon S3 instead of EFS, removing the need to maintain an EFS file system and its associated costs.
Option A increases instance size to m5.8xlarge, which greatly increases capacity and cost. Reducing the number of instances by 50% does not offset the large increase in instance size; it does not address idle capacity and likely increases overall cost.
Option C uses Amazon Neptune, which is a managed graph database service. It is not needed for storing simple CSV output; it is more complex and more expensive than S3 for this use case.
Option D uses Aurora Serverless MySQL. While Aurora Serverless can automatically scale, using a relational database to store simple crawl outputs adds unnecessary cost and operational complexity compared to S3 objects.
Therefore, moving the crawling logic to Lambda triggered by SQS (option B) and writing results directly to Amazon S3 (option E) meets the requirements in the most cost-effective way.
References:AWS documentation on using Amazon SQS as an event source for AWS Lambda for event-driven processing.AWS documentation on Amazon S3 for durable, low-cost object storage for analytical and application data.
問題 #538
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SAP-C02考古题推薦: https://www.testpdf.net/SAP-C02.html
P.S. Testpdf在Google Drive上分享了免費的、最新的SAP-C02考試題庫：https://drive.google.com/open?id=14Q5XnhyFUdKcnJ9MV_qzfxOkzAyn3cKm