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Amazon Web Services Updated SAA-C03 Exam Questions and Answers by elspeth

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Amazon Web Services SAA-C03 Exam Overview :

Exam Name: AWS Certified Solutions Architect - Associate (SAA-C03)
Exam Code: SAA-C03 Dumps
Vendor: Amazon Web Services Certification: AWS Certified Associate
Questions: 1168 Q&A's Shared By: elspeth
Question 132

A company wants to measure the effectiveness of its recent marketing campaigns. The company performs batch processing on csv files of sales data and stores the results in an Amazon S3 bucket once every hour. The S3 bi petabytes of objects. The company runs one-time queries in Amazon Athena to determine which products are most popular on a particular date for a particular region Queries sometimes fail or take longer than expected to finish.

Which actions should a solutions architect take to improve the query performance and reliability? (Select TWO.)

Options:

A.

Reduce the S3 object sizes to less than 126 MB

B.

Partition the data by date and region n Amazon S3

C.

Store the files as large, single objects in Amazon S3.

D.

Use Amazon Kinosis Data Analytics to run the Queries as pan of the batch processing operation

E.

Use an AWS duo extract, transform, and load (ETL) process to convert the csv files into Apache Parquet format.

Discussion
Question 133

A company hosts its core network services, including directory services and DNS, in its on-premises data center. The data center is connected to the AWS Cloud using AWS Direct Connect (DX). Additional AWS accounts are planned that will require quick, cost-effective, and consistent access to these network services.

What should a solutions architect implement to meet these requirements with the LEAST amount of operational overhead?

Options:

A.

Create a DX connection in each new account. Route the network traffic to the on-premises servers.

B.

Configure VPC endpoints in the DX VPC for all required services. Route the network traffic to the on-premises servers.

C.

Create a VPN connection between each new account and the DX VPC. Route the network traffic to the on-premises servers.

D.

Configure AWS Transit Gateway between the accounts. Assign DX to the transit gateway and route network traffic to the on-premises servers.

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Question 134

A company has an Amazon S3 data lake The company needs a solution that transforms the data from the data lake and loads the data into a data warehouse every day The data warehouse must have massively parallel processing (MPP) capabilities.

Data analysts then need to create and train machine learning (ML) models by using SQL commands on the data The solution must use serverless AWS services wherever possible

Which solution will meet these requirements?

Options:

A.

Run a daily Amazon EMR job to transform the data and load the data into Amazon Redshift Use Amazon Redshift ML to create and train the ML models

B.

Run a daily Amazon EMR job to transform the data and load the data into Amazon Aurora Serverless Use Amazon Aurora ML to create and train the ML models

C.

Run a daily AWS Glue job to transform the data and load the data into Amazon Redshift Serverless Use Amazon Redshift ML to create and tram the ML models

D.

Run a daily AWS Glue job to transform the data and load the data into Amazon Athena tables Use Amazon Athena ML to create and train the ML models

Discussion
Question 135

A company uses GPS trackers to document the migration patterns of thousands of sea turtles. The trackers check every 5 minutes to see if a turtle has moved more than 100 yards (91.4 meters). If a turtle has moved, its tracker sends the new coordinates to a web application running on three Amazon EC2 instances that are in multiple Availability Zones in one AWS Region.

Jgpently. the web application was overwhelmed while processing an unexpected volume of tracker data. Data was lost with no way to replay the events. A solutions

ftitect must prevent this problem from happening again and needs a solution with the least operational overhead.

at should the solutions architect do to meet these requirements?

Options:

A.

Create an Amazon S3 bucket to store the data. Configure the application to scan for new data in the bucket for processing.

B.

Create an Amazon API Gateway endpoint to handle transmitted location coordinates. Use an AWS Lambda function to process each item concurrently.

C.

Create an Amazon Simple Queue Service (Amazon SOS) queue to store the incoming data. Configure the application to poll for new messages for processing.

D.

Create an Amazon DynamoDB table to store transmitted location coordinates. Configure the application to query the table for new data for processing. Use TTL to remove data that has been processed.

Discussion
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