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Exam AWS Certified Solutions Architect - Professional SAP-C02 topic 1 question 94 discussion

Exam question from Amazon's AWS Certified Solutions Architect - Professional SAP-C02
Question #: 94
Topic #: 1
[All AWS Certified Solutions Architect - Professional SAP-C02 Questions]

A company has migrated Its forms-processing application to AWS. When users interact with the application, they upload scanned forms as files through a web application. A database stores user metadata and references to files that are stored in Amazon S3. The web application runs on Amazon EC2 instances and an Amazon RDS for PostgreSQL database.

When forms are uploaded, the application sends notifications to a team through Amazon Simple Notification Service (Amazon SNS). A team member then logs in and processes each form. The team member performs data validation on the form and extracts relevant data before entering the information into another system that uses an API.

A solutions architect needs to automate the manual processing of the forms. The solution must provide accurate form extraction. minimize time to market, and minimize tong-term operational overhead.

Which solution will meet these requirements?

  • A. Develop custom libraries to perform optical character recognition (OCR) on the forms. Deploy the libraries to an Amazon Elastic Kubernetes Service (Amazon EKS) cluster as an application tier. Use this tier to process the forms when forms are uploaded. Store the output in Amazon S3. Parse this output by extracting the data into an Amazon DynamoDB table. Submit the data to the target system's APL. Host the new application tier on EC2 instances.
  • B. Extend the system with an application tier that uses AWS Step Functions and AWS Lambda. Configure this tier to use artificial intelligence and machine learning (AI/ML) models that are trained and hosted on an EC2 instance to perform optical character recognition (OCR) on the forms when forms are uploaded. Store the output in Amazon S3. Parse this output by extracting the data that is required within the application tier. Submit the data to the target system's API.
  • C. Host a new application tier on EC2 instances. Use this tier to call endpoints that host artificial intelligence and machine teaming (AI/ML) models that are trained and hosted in Amazon SageMaker to perform optical character recognition (OCR) on the forms. Store the output in Amazon ElastiCache. Parse this output by extracting the data that is required within the application tier. Submit the data to the target system's API.
  • D. Extend the system with an application tier that uses AWS Step Functions and AWS Lambda. Configure this tier to use Amazon Textract and Amazon Comprehend to perform optical character recognition (OCR) on the forms when forms are uploaded. Store the output in Amazon S3. Parse this output by extracting the data that is required within the application tier. Submit the data to the target system's API.
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Suggested Answer: D 🗳️
by masetromain at Jan. 15, 2023, 10:03 a.m.
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masetromain
Highly Voted 1 year, 11 months ago
Selected Answer: D
The correct answer is D. Extend the system with an application tier that uses AWS Step Functions and AWS Lambda. Configure this tier to use Amazon Textract and Amazon Comprehend to perform optical character recognition (OCR) on the forms when forms are uploaded. Store the output in Amazon S3. Parse this output by extracting the data that is required within the application tier. Submit the data to the target system's API. This solution meets the requirements of accurate form extraction, minimal time to market, and minimal long-term operational overhead. Amazon Textract and Amazon Comprehend are fully managed and serverless services that can perform OCR and extract relevant data from the forms, which eliminates the need to develop custom libraries or train and host models. Using AWS Step Functions and Lambda allows for easy automation of the process and the ability to scale as needed.
upvoted 15 times
masetromain
1 year, 11 months ago
Option A: This option would require significant development and maintenance effort and would not take advantage of fully managed services, resulting in increased operational overhead. Option B: This option is similar to option A in that it would require significant development and maintenance effort to train and host the models, and would not take advantage of fully managed services resulting in increased operational overhead. Option C: This option is similar to option B in that it would require significant development and maintenance effort to train and host the models, and would not take advantage of fully managed services resulting in increased operational overhead.
upvoted 3 times
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gofavad926
Most Recent 9 months, 2 weeks ago
Selected Answer: D
D. This solution meets the requirements of accurate form extraction, minimal time to market, and minimal long-term operational overhead
upvoted 1 times
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career360guru
1 year ago
Selected Answer: D
Option D
upvoted 1 times
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NikkyDicky
1 year, 6 months ago
Selected Answer: D
D - basic use case for textract
upvoted 1 times
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Maria2023
1 year, 6 months ago
Selected Answer: D
An easy one - if AWS has a service for something - do not reinvent the wheel - use Textract and Comprehend
upvoted 2 times
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SkyZeroZx
1 year, 6 months ago
Selected Answer: D
D : Managed AWS Services
upvoted 1 times
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mfsec
1 year, 9 months ago
Selected Answer: D
Amazon Textract..
upvoted 1 times
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God_Is_Love
1 year, 9 months ago
Selected Answer: D
Textract can analyze different types of documents such as forms, invoices, receipts, and tables, and can extract information such as text, tables, and key-value pairs. Comprehend provides a set of APIs that can be used to analyze text data in real-time. The service can identify the language of the text, extract entities such as people, organizations, and locations, and detect the sentiment expressed in the text. It can also extract key phrases that summarize the meaning of the text, and can classify the text into predefined categories.
upvoted 1 times
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sambb
1 year, 10 months ago
Selected Answer: D
D : Managed AWS Services
upvoted 1 times
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