AWS Certified Solutions Architect Associate(SAA C03)

The AWS Certified Solutions Architect Associate(SAA C03) were last updated on today.

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Topic 1 - Exam A

Question #11 Topic 1

A company wants to migrate its on-premises application to AWS. The application produces output files that vary in size from tens of gigabytes to hundreds of terabytes. The application data must be stored in a standard file system structure. The company wants a solution that scales automatically. is highly available, and requires minimum operational overhead. Which solution will meet these requirements?

A Migrate the application to run as containers on Amazon Elastic Container Service (Amazon ECS). Use Amazon S3 for storage.
B Migrate the application to run as containers on Amazon Elastic Kubernetes Service (Amazon EKS). Use Amazon Elastic Block Store (Amazon EBS) for storage.
C Migrate the application to Amazon EC2 instances in a Multi-AZ Auto Scaling group. Use Amazon Elastic File System (Amazon EFS) for storage.
D Migrate the application to Amazon EC2 instances in a Multi-AZ Auto Scaling group. Use Amazon Elastic Block Store (Amazon EBS) for storage.

Suggested Answer: C
NOTE: Answer is :C
Explanation :Amazon EC2 instances in a Multi-AZ Auto Scaling group is suitable for scalability and high availability. Also, Amazon Elastic File System (Amazon EFS) is designed to store large amounts of data in a standard file system structure, which fulfills the company's needs better than the other options.

Question #12 Topic 1

A company has registered its domain name with Amazon Route 53. The company uses Amazon API Gateway in the ca-central-1 Region as a public interface for its backend microservice APIs. Third-party services consume the APIs securely. The company wants to design its API Gateway URL with the company's domain name and corresponding certificate so that the third-party services can use HTTPS. Which solution will meet these requirements?

A Create stage variables in API Gateway with Name="Endpoint-URL" and Value="Company Domain Name" to overwrite the default URL. Import the public certificate associated with the company's domain name into AWS Certificate Manager (ACM).
B Create Route 53 DNS records with the company's domain name. Point the alias record to the Regional API Gateway stage endpoint. Import the public certificate associated with the company's domain name into AWS Certificate Manager (ACM) in the us-east-1 Region.
C Create a Regional API Gateway endpoint. Associate the API Gateway endpoint with the company's domain name. Import the public certificate associated with the company's domain name into AWS Certificate Manager (ACM) in the same Region. Attach the certificate to the API Gateway endpoint. Configure Route 53 to route traffic to the API Gateway endpoint.
D Create a Regional API Gateway endpoint. Associate the API Gateway endpoint with the company's domain name. Import the public certificate associated with the company's domain name into AWS Certificate Manager (ACM) in the us-east-1 Region. Attach the certificate to the API Gateway APIs. Create Route 53 DNS records with the company's domain name. Point an A record to the company's domain name.

Suggested Answer: C
NOTE: Answer is :C
Explanation :The solution that will meet these requirements is the creation of a regional API Gateway endpoint. The company needs to associate the API Gateway endpoint with its domain name, import the public certificate associated with its domain name into AWS Certificate Manager (ACM) in the same region, as well as attach the certificate to the API Gateway endpoint. Then, they need to configure Route 53 to route traffic to the API Gateway endpoint. This way the company's domain name and certificate are used securely in the public interface for its backend microservice APIs.

Question #13 Topic 1

A company has an application that generates a large number of files, each approximately 5 MB in size. The files are stored in Amazon S3. Company policy requires the files to be stored for 4 years before they can be deleted. Immediate accessibility is always required as the files contain critical business data that is not easy to reproduce. The files are frequently accessed in the first 30 days of the object creation but are rarely accessed after the first 30 days. Which storage solution is MOST cost-effective?

A Create an S3 bucket lifecycle policy to move files from S3 Standard to S3 Glacier 30 days from object creation. Delete the files 4 years after object creation.
B Create an S3 bucket lifecycle policy to move files from S3 Standard to S3 One Zone-Infrequent Access (S3 One Zone-IA) 30 days from object creation. Delete the files 4 years after object creation.
C Create an S3 bucket lifecycle policy to move files from S3 Standard to S3 Standard-Infrequent Access (S3 Standard-IA) 30 days from object creation. Delete the files 4 years after object creation.
D Create an S3 bucket lifecycle policy to move files from S3 Standard to S3 Standard-Infrequent Access (S3 Standard-IA) 30 days from object creation. Move the files to S3 Glacier 4 years after object creation.

Suggested Answer: C
NOTE: Answer is :C
Explanation :Choosing this option because it is the most cost-effective solution, and remains immediate accessible which is required by the business. S3 Standard-IA is designed for larger data where data is accessed less frequently, but it still needs the quick access when needed, such as in this case scenario where files are rarely accessed after first 30 days.

Question #14 Topic 1

A company hosts an application on AWS Lambda functions that are invoked by an Amazon API Gateway API. The Lambda functions save customer data to an Amazon Aurora MySQL database. Whenever the company upgrades the database, the Lambda functions fail to establish database connections until the upgrade is complete. The result is that customer data is not recorded for some of the event. A solutions architect needs to design a solution that stores customer data that is created during database upgrades. Which solution will meet these requirements?

A Provision an Amazon RDS proxy to sit between the Lambda functions and the database. Configure the Lambda functions to connect to the RDS proxy.
B Increase the run time of the Lambda functions to the maximum. Create a retry mechanism in the code that stores the customer data in the database.
C Persist the customer data to Lambda local storage. Configure new Lambda functions to scan the local storage to save the customer data to the database.
D Store the customer data in an Amazon Simple Queue Service (Amazon SQS) FIFO queue. Create a new Lambda function that polls the queue and stores the customer data in the database.

Suggested Answer: D
NOTE: Answer is :D
Explanation :Storing the customer data in an Amazon Simple Queue Service (SQS) FIFO queue would ensure that the data is not lost and can be processed once the upgrade is complete. Creating a new Lambda function that polls the queue and stores the customer data in the database after the upgrade ensures no data loss during the upgrade.

Question #15 Topic 1

A company is using a SQL database to store movie data that is publicly accessible. The database runs on an Amazon RDS Single-AZ DB instance. A script runs queries at random intervals each day to record the number of new movies that have been added to the database. The script must report a final total during business hours. The company's development team notices that the database performance is inadequate for development tasks when the script is running. A solutions architect must recommend a solution to resolve this issue. Which solution will meet this requirement with the LEAST operational overhead?

A Modify the DB instance to be a Multi-AZ deployment.
B Create a read replica of the database. Configure the script to query only the read replica.
C Instruct the development team to manually export the entries in the database at the end of each day.
D Use Amazon ElastiCache to cache the common queries that the script runs against the database.

Suggested Answer: B
NOTE: Answer is :B
Explanation :Creating a read replica of the database would offload the read traffic from the main instance, thus improving performance. The script can then be adjusted to query only the read replica, effectively segregating the write and read operations and improving overall performance.