Amazon Web Services dumpspedia pearson Saa-c03 New Attempt by Ryder q40 vce pdf

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Exam Name:	AWS Certified Solutions Architect - Associate (SAA-C03)
Exam Code:	SAA-C03 Dumps
Vendor:	Amazon Web Services	Certification:	AWS Certified Associate
Questions:	1068 Q&A's	Shared By:	ryder

Question 8

A payment processing company records all voice communication with its customers and stores the audio files in an Amazon S3 bucket. The company needs to capture

the text from the audio files. The company must remove from the text any personally identifiable information (Pll) that belongs to customers.

What should a solutions architect do to meet these requirements?

Options:

Process the audio files by using Amazon Kinesis Video Streams. Use an AWS Lambda function to scan for known Pll patterns.

When an audio file is uploaded to the S3 bucket, invoke an AWS Lambda function to start an Amazon Textract task to analyze the call recordings.

Configure an Amazon Transcribe transcription job with Pll redaction turned on. When an audio file is uploaded to the S3 bucket, invoke an AWS Lambda function to start the transcription job. Store the output in a separate S3 bucket.

Create an Amazon Connect contact flow that ingests the audio files with transcription turned on. Embed an AWS Lambda function to scan for known Pll patterns. Use Amazon EventBridge (Amazon CloudWatch Events) to start the contact flow when an audio file is uploaded to the S3 bucket.

Discussion

Question 9

A company has an application that places hundreds of .csv files into an Amazon S3 bucket every hour. The files are 1 GB in size. Each time a file is uploaded, the company needs to convert the file to Apache Parquet format and place the output file into an S3 bucket.

Which solution will meet these requirements with the LEAST operational overhead?

Options:

Create an AWS Lambda function to download the .csv files, convert the files to Parquet format, and place the output files in an S3 bucket. Invoke the Lambda function for each S3 PUT event.

Create an Apache Spark job to read the .csv files, convert the files to Parquet format, and place the output files in an S3 bucket. Create an AWS Lambda function for each S3 PUT event to invoke the Spark job.

Create an AWS Glue table and an AWS Glue crawler for the S3 bucket where the application places the .csv files. Schedule an AWS Lambda function to periodically use Amazon Athena to query the AWS Glue table, convert the query results into Parquet format, and place the output files into an S3 bucket.

Create an AWS Glue extract, transform, and load (ETL) job to convert the .csv files to Parquet format and place the output files into an S3 bucket. Create an AWS Lambda function for each S3 PUT event to invoke the ETL job.

Discussion

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Question 10

A company is launching a new application deployed on an Amazon Elastic Container Service (Amazon ECS) cluster and is using the Fargate launch type tor ECS tasks The company is monitoring CPU and memory usage because it is expecting high traffic to the application upon its launch However the company wants to reduce costs when utilization decreases

What should a solutions architect recommend?

Options:

Use Amazon EC2 Auto Scaling to scale at certain periods based on previous traffic patterns

Use an AWS Lambda function to scale Amazon ECS based on metric breaches that trigger an Amazon CloudWatch alarm

Use Amazon EC2 Auto Scaling with simple scaling policies to scale when ECS metric breaches trigger an Amazon CloudWatch alarm

Use AWS Application Auto Scaling with target tracking policies to scale when ECS metric breaches trigger an Amazon CloudWatch alarm

Discussion

Question 11

A company's application runs on AWS. The application stores large documents in an Amazon S3 bucket that uses the S3 Standard-infrequent Access (S3 Standerd-IA) storage class. The company will continue paying to store the data but wants to save on its total S3 costs. The company wants authorized external users to have the ability to access the documents in milliseconds.

Which solution will meet these requirements MOST cost-effectively?

Options:

Configure the S3 bucket to be a Requester Pays bucket

Change the storage tier to S3 Standard for all existing and future objects.

Turn on S3 Transfer Acceleration tor the S3 Docket

Use Amazon CloudFront to handle all the requests to the S3 bucket