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Amazon Web Services SAA-C03 Exam Sample Questions


Question # 1

A company runs a container application by using Amazon Elastic Kubernetes Service (Amazon EKS). The application includes microservices that manage customers and place orders. The company needs to route incoming requests to the appropriate microservices. Which solution will meet this requirement MOST cost-effectively?
A. Use the AWS Load Balancer Controller to provision a Network Load Balancer.
B. Use the AWS Load Balancer Controller to provision an Application Load Balancer.
C. Use an AWS Lambda function to connect the requests to Amazon EKS.
D. Use Amazon API Gateway to connect the requests to Amazon EKS.


B. Use the AWS Load Balancer Controller to provision an Application Load Balancer.
Explanation: An Application Load Balancer is a type of Elastic Load Balancer that operates at the application layer (layer 7) of the OSI model. It can distribute incoming traffic across multiple targets, such as Amazon EC2 instances, containers, IP addresses, and Lambda functions. It can also route requests based on the content of the request, such as the host name, path, or query parameters1. The AWS Load Balancer Controller is a controller that helps you manage Elastic Load Balancers for your Kubernetes cluster. It can provision Application Load Balancers or Network Load Balancers when you create Kubernetes Ingress or Service resources2. By using the AWS Load Balancer Controller to provision an Application Load Balancer for your Amazon EKS cluster, you can achieve the following benefits: You can route incoming requests to the appropriate microservices based on the rules you define in your Ingress resource. For example, you can route requests with different host names or paths to different microservices that handle customers and orders2. You can improve the performance and availability of your container applications by distributing the load across multiple targets and enabling health checks and automatic scaling1. You can reduce the cost and complexity of managing your load balancers by using a single controller that integrates with Amazon EKS and Kubernetes. You do not need to manually create or configure load balancers or update them when your cluster changes2.




Question # 2

A solution architect is designing a company’s disaster recovery (DR) architecture. The company has a MySQL database that runs on an Amazon EC2 instance in a private subnet with scheduled backup. The DR design to include multiple AWS Regions. Which solution will meet these requiements with the LEAST operational overhead?
A. Migrate the MySQL database to multiple EC2 instances. Configure a standby EC2 instance in the DR Region Turn on replication.
B. Migrate the MySQL database to Amazon RDS. Use a Multi-AZ deployment. Turn on read replication for the primary DB instance in the different Availability Zones.
C. Migrate the MySQL database to an Amazon Aurora global database. Host the primary DB cluster in the primary Region. Host the secondary DB cluster in the DR Region.
D. Store the schedule backup of the MySQL database in an Amazon S3 bucket that is configured for S3 Cross-Region Replication (CRR). Use the data backup to restore the database in the DR Region.


C. Migrate the MySQL database to an Amazon Aurora global database. Host the primary DB cluster in the primary Region. Host the secondary DB cluster in the DR Region.
Explanation: Migrate MySQL database to an Amazon Aurora global database is the best solution because it requires minimal operational overhead. Aurora is a managed service that provides automatic failover, so standby instances do not need to be manually configured. The primary DB cluster can be hosted in the primary Region, and the secondary DB cluster can be hosted in the DR Region. This approach ensures that the data is always available and up-to-date in multiple Regions, without requiring significant manual intervention.




Question # 3

A company is hosting a high-traffic static website on Amazon S3 with an Amazon CloudFront distribution that has a default TTL of 0 seconds The company wants to implement caching to improve performance for the website However, the company also wants to ensure that stale content Is not served for more than a few minutes after a deployment Which combination of caching methods should a solutions architect implement to meet these requirements? (Select TWO.)
A. Set the CloudFront default TTL to 2 minutes.
B. Set a default TTL of 2 minutes on the S3 bucket
C. Add a Cache-Control private directive to the objects in Amazon S3.
D. Create an AWS Lambda@Edge function to add an Expires header to HTTP responses Configure the function to run on viewer response.
E. Add a Cache-Control max-age directive of 24 hours to the objects in Amazon S3. On deployment, create a CloudFront invalidation to clear any changed files from edge caches.


A. Set the CloudFront default TTL to 2 minutes.
E. Add a Cache-Control max-age directive of 24 hours to the objects in Amazon S3. On deployment, create a CloudFront invalidation to clear any changed files from edge caches.




Question # 4

A company is designing a new web application that will run on Amazon EC2 Instances. The application will use Amazon DynamoDB for backend data storage. The application traffic will be unpredictable. T company expects that the application read and write throughput to the database will be moderate to high. The company needs to scale in response to application traffic. Which DynamoDB table configuration will meet these requirements MOST cost-effectively?
A. Configure DynamoDB with provisioned read and write by using the DynamoDB Standard table class. Set DynamoDB auto scaling to a maximum defined capacity.
B. Configure DynamoDB in on-demand mode by using the DynamoDB Standard table class.
C. Configure DynamoDB with provisioned read and write by using the DynamoDB Standard Infrequent Access (DynamoDB Standard-IA) table class. Set DynamoDB auto scaling to a maximum defined capacity.
D. Configure DynamoDB in on-demand mode by using the DynamoDB Standard Infrequent Access (DynamoDB Standard-IA) table class.


B. Configure DynamoDB in on-demand mode by using the DynamoDB Standard table class.
Explanation: The most cost-effective DynamoDB table configuration for the web application is to configure DynamoDB in on-demand mode by using the DynamoDB Standard table class. This configuration will allow the company to scale in response to application traffic and pay only for the read and write requests that the application performs on the table.

On-demand mode is a flexible billing option that can handle thousands of requests per second without capacity planning. On-demand mode automatically adjusts the table’s capacity based on the incoming traffic, and charges only for the read and write requests that are actually performed. On-demand mode is suitable for applications with unpredictable or variable workloads, or applications that prefer the ease of paying for only what they use1.

The DynamoDB Standard table class is the default and recommended table class for most workloads. The DynamoDB Standard table class offers lower throughput costs than the DynamoDB Standard-Infrequent Access (DynamoDB Standard-IA) table class, and is more cost-effective for tables where throughput is the dominant cost. The DynamoDB Standard table class also offers the same performance, durability, and availability as the DynamoDB Standard-IA table class2.

The other options are not correct because they are either not cost-effective or not suitable for the use case. Configuring DynamoDB with provisioned read and write by using the DynamoDB Standard table class, and setting DynamoDB auto scaling to a maximum defined capacity is not correct because this configuration requires manual estimation and management of the table’s capacity, which adds complexity and cost to the solution.

Provisioned mode is a billing option that requires users to specify the amount of read and write capacity units for their tables, and charges for the reserved capacity regardless of usage. Provisioned mode is suitable for applications with predictable or stable workloads, or applications that require finer-grained control over their capacity settings1. Configuring DynamoDB with provisioned read and write by using the DynamoDB Standard-Infrequent Access (DynamoDB Standard-IA) table class, and setting DynamoDB auto scaling to a maximum defined capacity is not correct because this configuration is not cost-effective for tables with moderate to high throughput. The DynamoDB Standard-IA table class offers lower storage costs than the DynamoDB Standard table class, but higher throughput costs. The DynamoDB Standard-IA table class is optimized for tables where storage is the dominant cost, such as tables that store infrequently accessed data2. Configuring DynamoDB in on-demand mode by using the DynamoDB Standard-Infrequent Access (DynamoDB Standard-IA) table class is not correct because this configuration is not costeffective for tables with moderate to high throughput. As mentioned above, the DynamoDB Standard-IA table class has higher throughput costs than the DynamoDB Standard table class, which can offset the savings from lower storage costs.




Question # 5

A company uses an on-premises network-attached storage (NAS) system to provide file shares to its high performance computing (HPC) workloads. The company wants to migrate its latency-sensitive HPC workloads and its storage to the AWS Cloud. The company must be able to provide NFS and SMB multi-protocol access from the file system. Which solution will meet these requirements with the LEAST latency? (Select TWO.)
A. Deploy compute optimized EC2 instances into a cluster placement group.
B. Deploy compute optimized EC2 instances into a partition placement group.
C. Attach the EC2 instances to an Amazon FSx for Lustre file system.
D. Attach the EC2 instances to an Amazon FSx for OpenZFS file system.
E. Attach the EC2 instances to an Amazon FSx for NetApp ONTAP file system.


A. Deploy compute optimized EC2 instances into a cluster placement group.
E. Attach the EC2 instances to an Amazon FSx for NetApp ONTAP file system.
Explanation: A cluster placement group is a logical grouping of EC2 instances within a single Availability Zone that are placed close together to minimize network latency. This is suitable for latency-sensitive HPC workloads that require high network performance. A compute optimized EC2 instance is an instance type that has a high ratio of vCPUs to memory, which is ideal for compute-intensive applications. Amazon FSx for NetApp ONTAP is a fully managed service that provides NFS and SMB multi-protocol access from the file system, as well as features such as data deduplication, compression, thin provisioning, and snapshots. This solution will meet the requirements with the least latency, as it leverages the low-latency network and storage performance of AWS.

References:
Explains how cluster placement groups work and their benefits.
Describes the characteristics and use cases of compute optimized EC2 instances.
Provides an overview of Amazon FSx for NetApp ONTAP and its features.



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