Amazon SAA-C03 Dumps

Amazon SAA-C03 Dumps

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Frequently Asked Questions

AWS SAA-C03 Sample Questions

Question # 1

A media company collects and analyzes user activity data on premises. The company wants to migrate this capability to AWS. The user activity data store will continue to grow and will be petabytes in size. The company needs to build a highly available data ingestion solution that facilitates on-demand analytics of existing data and new data with SQL. Which solution will meet these requirements with the LEAST operational overhead?

A. Send activity data to an Amazon Kinesis data stream. Configure the stream to deliver the data to an Amazon S3 bucket. 
B. Send activity data to an Amazon Kinesis Data Firehose delivery stream. Configure the stream to deliver the data to an Amazon Redshift cluster. 
C. Place activity data in an Amazon S3 bucket. Configure Amazon S3 to run an AWS Lambda function on the data as the data arrives in the S3 bucket.
 D. Create an ingestion service on Amazon EC2 instances that are spread across multiple Availability Zones. Configure the service to forward data to an Amazon RDS Multi-AZ database. 

ANSWER : B

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Question # 2

A company uses a legacy application to produce data in CSV format The legacy application stores the output data In Amazon S3 The company is deploying a new commercial off-theshelf (COTS) application that can perform complex SQL queries to analyze data that is stored Amazon Redshift and Amazon S3 only However the COTS application cannot process the csv files that the legacy application produces The company cannot update the legacy application to produce data in another format The company needs to implement a solution so that the COTS application can use the data that the legacy applicator produces. Which solution will meet these requirements with the LEAST operational overhead? 

A. Create a AWS Glue extract, transform, and load (ETL) job that runs on a schedule. Configure the ETL job to process the .csv files and store the processed data in Amazon Redshit. 
B. Develop a Python script that runs on Amazon EC2 instances to convert the. csv files to sql files invoke the Python script on cron schedule to store the output files in Amazon S3. 
C. Create an AWS Lambda function and an Amazon DynamoDB table. Use an S3 event to invoke the Lambda function. Configure the Lambda function to perform an extract transform, and load (ETL) job to process the .csv files and store the processed data in the DynamoDB table.
 D. Use Amazon EventBridge (Amazon CloudWatch Events) to launch an Amazon EMR cluster on a weekly schedule. Configure the EMR cluster to perform an extract, tractform, and load (ETL) job to process the .csv files and store the processed data in an Amazon Redshift table. 

ANSWER : C

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Question # 3

An ecommerce company has noticed performance degradation of its Amazon RDS based web application. The performance degradation is attributed to an increase in the number of read-only SQL queries triggered by business analysts. A solutions architect needs to solve the problem with minimal changes to the existing web application. What should the solutions architect recommend?

A. Export the data to Amazon DynamoDB and have the business analysts run their queries. 
B. Load the data into Amazon ElastiCache and have the business analysts run their queries. 
C. Create a read replica of the primary database and have the business analysts run their queries. 
D. Copy the data into an Amazon Redshift cluster and have the business analysts run their queries

ANSWER : C

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Question # 4

A company hosts its application on AWS The company uses Amazon Cognito to manage users When users log in to the application the application fetches required data from Amazon DynamoDB by using a REST API that is hosted in Amazon API Gateway. The company wants an AWS managed solution that will control access to the REST API to reduce development efforts Which solution will meet these requirements with the LEAST operational overhead?

A. Configure an AWS Lambda function to be an authorize! in API Gateway to validate which user made the request 
B. For each user, create and assign an API key that must be sent with each request Validate the key by using an AWS Lambda function 
C. Send the user's email address in the header with every request Invoke an AWS Lambda function to validate that the user with that email address has proper access 
D. Configure an Amazon Cognito user pool authorizer in API Gateway to allow Amazon Cognito to validate each request 

ANSWER : D

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