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AWS Certified Solutions Architect - Associate (SAA-C03) Questions and Answers

Question 37

A company hosts a marketing website in an on-premises data center. The website consists of static documents and runs on a single server. An administrator updates the website content infrequently and uses an SFTP client to upload new documents.

The company decides to host its website on AWS and to use Amazon CloudFront. The company's solutions architect creates a CloudFront distribution. The solutions architect must design the most cost-effective and resilient architecture for website hosting to serve as the CloudFront origin.

Which solution will meet these requirements?

Options:

Create a virtual server by using Amazon Lightsail. Configure the web server in the Lightsail instance. Upload website content by using an SFTP client.

Create an AWS Auto Scaling group for Amazon EC2 instances. Use an Application Load Balancer. Upload website content by using an SFTP client.

Create a private Amazon S3 bucket. Use an S3 bucket policy to allow access from a CloudFront origin access identity (OAI). Upload website content by using theAWSCLI.

Create a public Amazon S3 bucket. Configure AWS Transfer for SFTP. Configure the S3 bucket for website hosting. Upload website content by using the SFTP client.

Question 38

A company has deployed a web application on AWS. The company hosts the backend database on Amazon RDS for MySQL with a primary DB instance and five read replicas to supportscallng needs. The read replicas must lag no more than 1 second behind the primary DB instance. The database routinely runs scheduled stored procedures.

As traffic on the website increases, the replicas experince addtional lag during periods of peak load. A solutions architect must reduce the replication lag as much as possible. The solutin architect must minimize changes to the application code and must minimize ongoing operational overhead.

Which solution will meet these requirements?

Options:

Migrate the database to Amazon Aurora MySQL. Replace the read replicas with Aurora Replicas, and configure Aurora Auto Scaling. Replace the store procedures with Aurora MySQL native functions.

Deploy an Amazon ElasticCache for Redis cluster in front of the database. Modify the application to check the cache before the applicatin queries the database. Replace the stored procedures with AWS Lambda functions.

Migrate the database to a MySQL database that runs on Amazon EC2 instances. Choose large, compute optimized EC2 instances for all replica nodes. Maintain the stored procedures on the EC2 instances.

Migrate the database to Amazon DynamicDB provision a large number of read capacity units(RCUs) to support the required throught, and configure on-demand capacity scaling. Replace the store procedures with DynamoDB streams

Question 39

A company runs an internal browser-based application The application runs on Amazon EC2 instances behind an Application Load Balancer. The instances run in an Amazon EC2 Auto Scaling group across multiple Availability Zones. The Auto Scaling group scales up to 20 instances during work hours but scales down to 2 instances overnight Staff are complaining that the application is very slow when the day begins although it runs well by mid-morning.

How should the scaling be changed to address the staff complaints and keep costs to a minimum'?

Options:

Implement a scheduled action that sets the desired capacity to 20 shortly before the office opens

Implement a step scaling action triggered at a lower CPU threshold, and decrease the cooldown period.

Implement a target tracking action triggered at a lower CPU threshold, and decrease the cooldown period.

Implement a scheduled action that sets the minimum and maximum capacity to 20 shortly before the office opens

Question 40

A company has an Amazon S3 data lake that is governed by AWS Lake Formation The company wants to create a visualization in Amazon QuickSight by joining the data in the data lake with operational data that is stored in an Amazon Aurora MySQL database The company wants to enforce column-level authorization so that the company's marketing team can access only a subset of columns in the database

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

Options:

Use Amazon EMR to ingest the data directly from the database to the QuickSight SPICE engine Include only the required columns

Use AWS Glue Studio to ingest the data from the database to the S3 data lake Attach an IAM policy to the QuickSight users to enforce column-level access control. Use Amazon S3 as the data source in QuickSight

Use AWS Glue Elastic Views to create a materialized view for the database in Amazon S3 Create an S3 bucket policy to enforce column-level access control for the QuickSight users Use Amazon S3 as the data source in QuickSight.

Use a Lake Formation blueprint to ingest the data from the database to the S3 data lake Use Lake Formation to enforce column-level access control for the QuickSight users Use Amazon Athena as the data source in QuickSight

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AWS Certified Solutions Architect - Associate (SAA-C03) Questions and Answers

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