Exam AWS Certified Solutions Architect - Associate SAA-C03 topic 1 question 799 discussion

Exam question from Amazon's AWS Certified Solutions Architect - Associate SAA-C03

Question #: 799
Topic #: 1

[All AWS Certified Solutions Architect - Associate SAA-C03 Questions]

A company needs to extract the names of ingredients from recipe records that are stored as text files in an Amazon S3 bucket. A web application will use the ingredient names to query an Amazon DynamoDB table and determine a nutrition score.

The application can handle non-food records and errors. The company does not have any employees who have machine learning knowledge to develop this solution.

Which solution will meet these requirements MOST cost-effectively?

A. Use S3 Event Notifications to invoke an AWS Lambda function when PutObject requests occur. Program the Lambda function to analyze the object and extract the ingredient names by using Amazon Comprehend. Store the Amazon Comprehend output in the DynamoDB table.
B. Use an Amazon EventBridge rule to invoke an AWS Lambda function when PutObject requests occur. Program the Lambda function to analyze the object by using Amazon Forecast to extract the ingredient names. Store the Forecast output in the DynamoDB table.
C. Use S3 Event Notifications to invoke an AWS Lambda function when PutObject requests occur. Use Amazon Polly to create audio recordings of the recipe records. Save the audio files in the S3 bucket. Use Amazon Simple Notification Service (Amazon SNS) to send a URL as a message to employees. Instruct the employees to listen to the audio files and calculate the nutrition score. Store the ingredient names in the DynamoDB table.
D. Use an Amazon EventBridge rule to invoke an AWS Lambda function when a PutObject request occurs. Program the Lambda function to analyze the object and extract the ingredient names by using Amazon SageMaker. Store the inference output from the SageMaker endpoint in the DynamoDB table.

Show Suggested Answer

Suggested Answer: A 🗳️

by asdfcdsxdfc at March 5, 2024, 10:24 p.m.

Disclaimers:

- ExamTopics website is not related to, affiliated with, endorsed or authorized by Amazon.
- Trademarks, certification & product names are used for reference only and belong to Amazon.

Comments

Submit Cancel

seetpt

Highly Voted 1 year, 3 months ago

Selected Answer: A

A correct

upvoted 5 times

...

Besisco

Most Recent 4 months, 1 week ago

Selected Answer: A

I’m fascinated by how self-descriptive the names of AWS ML tools are.

upvoted 1 times

...

Danilus

7 months, 1 week ago

Selected Answer: A

Key: Most cost-effective solution Key: Extract the names of ingredients from recipe records Key: The company does not have any employees with machine learning knowledge Not B because Forecast is used for making predictions in time series, not for extracting text or ingredients. Not C because it would be too expensive and involve too much operational overhead. Not D because SageMaker is designed for creating custom machine learning models, and the company lacks employees with machine learning knowledge. Conclusion: The answer is A because Comprehend is used for natural language processing (NLP), which in this case can extract ingredient names from the recipes effectively. so the answer is A because comprehend is used for nlp (natular languages processing) which is in this case use for to extract the names of the recipes

upvoted 3 times

...

Scheldon

1 year ago

Selected Answer: A

AnswerA Amazon Comprehend uses natural language processing (NLP) to extract insights about the content of documents. It develops insights by recognizing the entities, key phrases, language, sentiments, and other common elements in a document. Use Amazon Comprehend to create new products based on understanding the structure of documents. For example, using Amazon Comprehend you can search social networking feeds for mentions of products or scan an entire document repository for key phrases. https://docs.aws.amazon.com/comprehend/latest/dg/what-is.html

upvoted 3 times

...

fae3297

1 year ago

Selected Answer: A

A seems right B. Forecast is time-series C. Using Polly to create audio recordings just to make your employees listen to them seems inefficient to say the least D. Question asks for no ML. SageMaker = ML

upvoted 3 times

...

seetpt

1 year, 3 months ago

Selected Answer: A

A is correct

upvoted 3 times

...

asdfcdsxdfc

1 year, 3 months ago

shouldn't it be A?

upvoted 3 times

...