Amazon Web Services examstrust amazon Web Services Saa-c03 Online Access by Alvey q160 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:	999 Q&A's	Shared By:	alvey

Question 84

A company runs an environment where data is stored in an Amazon S3 bucket. The objects are accessed frequently throughout the day. The company has strict data encryption requirements for data that is stored in the S3 bucket. The company currently uses AWS Key Management Service (AWS KMS) for encryption.

The company wants to optimize costs associated with encrypting S3 objects without making additional calls to AWS KMS.

Which solution will meet these requirements?

Options:

Use server-side encryption with Amazon S3 managed keys (SSE-S3).

Use an S3 Bucket Key for server-side encryption with AWS KMS keys (SSE-KMS) on the new objects.

Use client-side encryption with AWS KMS customer managed keys.

Use server-side encryption with customer-provided keys (SSE-C) stored in AWS KMS.

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Question 85

A company is designing an event-driven order processing system Each order requires multiple validation steps after the order is created. An independent AWS Lambda function performs each validation step. Each validation step is independent from the other validation steps Individual validation steps need only a subset of the order event information.

The company wants to ensure that each validation step Lambda function has access to only the information from the order event that the function requires The components of the order processing system should be loosely coupled to accommodate future business changes.

Which solution will meet these requirements?

Options:

Create an Amazon Simple Queue Service (Amazon SQS> queue for each validation step. Create a new Lambda function to transform the order data to the format that each validation step requires and to publish the messages to the appropriate SQS queues Subscribe each validation step Lambda function to its corresponding SQS queue

Create an Amazon Simple Notification Service {Amazon SNS) topic. Subscribe the validation step Lambda functions to the SNS topic. Use message body filtering to send only the required data to each subscribed Lambda function.

Create an Amazon EventBridge event bus. Create an event rule for each validation step Configure the input transformer to send only the required data to each target validation step Lambda function.

Create an Amazon Simple Queue Service {Amazon SQS) queue Create a new Lambda function to subscribe to the SQS queue and to transform the order data to the format that each validation step requires. Use the new Lambda function to perform synchronous invocations of the validation step Lambda functions in parallel on separate threads.

Discussion

Question 86

A company runs database workloads on AWS that are the backend for the company's customer portals. The company runs a Multi-AZ database cluster on Amazon RDS for PostgreSQL.

The company needs to implement a 30-day backup retention policy. The company currently has both automated RDS backups and manual RDS backups. The company wants to maintain both types of existing RDS backups that are less than 30 days old.

Which solution will meet these requirements MOST cost-effectively?

Options:

Configure the RDS backup retention policy to 30 days tor automated backups by using AWS Backup. Manually delete manual backups that are older than 30 days.

Disable RDS automated backups. Delete automated backups and manual backups that are older than 30 days. Configure the RDS backup retention policy to 30 days tor automated backups.

Configure the RDS backup retention policy to 30 days for automated backups. Manually delete manual backups that are older than 30 days

Disable RDS automated backups. Delete automated backups and manual backups that are older than 30 days automatically by using AWS CloudFormation. Configure the RDS backup retention policy to 30 days for automated backups.

Discussion

Question 87

A company's reporting system delivers hundreds of .csv files to an Amazon S3 bucket each day. The company must convert these files to Apache Parquet format and must store the files in a transformed data bucket.

Which solution will meet these requirements with the LEAST development effort?

Options:

Create an Amazon EMR cluster with Apache Spark installed. Write a Spark application to transform the data. Use EMR File System (EMRFS) to write files to the transformed data bucket.

Create an AWS Glue crawler to discover the data. Create an AWS Glue extract, transform, and load (ETL) job to transform the data. Specify the transformed data bucket in the output step.

Use AWS Batch to create a job definition with Bash syntax to transform the data and output the data to the transformed data bucket. Use the job definition to submit a job. Specify an array job as the job type.

Create an AWS Lambda function to transform the data and output the data to the transformed data bucket. Configure an event notification for the S3 bucket. Specify the Lambda function as the destination for the event notification.