Practice Free SAA-C03 Exam Online Questions
A solutions architect must migrate a Windows Internet Information Services (IIS) web application to AWS. The application currently relies on a file share hosted in the user’s on-premises network-attached storage (NAS). The solutions architect has proposed migrating the MS web servers to Amazon EC2 instances in multiple Availability Zones that are connected to the storage solution, and configuring an Elastic Load Balancer attached to the instances
Which replacement to the on-premises file share is MOST resilient and durable?
- A . Migrate the file share to Amazon RDS
- B . Migrate the file share to AWS Storage Gateway
- C . Migrate the file share to Amazon FSx for Windows File Server
- D . Migrate the file share to Amazon Elastic File System (Amazon EFS)
C
Explanation:
This answer is correct because it provides a resilient and durable replacement for the on-premises file share that is compatible with Windows IIS web servers. Amazon FSx for Windows File Server is a fully managed service that provides shared file storage built on Windows Server. It supports the SMB protocol and integrates with Microsoft Active Directory, which enables seamless access and authentication for Windows-based applications. Amazon FSx for Windows File Server also offers the following benefits:
Resilience: Amazon FSx for Windows File Server can be deployed in multiple Availability Zones, which provides high availability and failover protection. It also supports automatic backups and restores, as well as self-healing features that detect and correct issues.
Durability: Amazon FSx for Windows File Server replicates data within and across Availability Zones, and stores data on highly durable storage devices. It also supports encryption at rest and in transit, as well as file access auditing and data deduplication.
Performance: Amazon FSx for Windows File Server delivers consistent sub-millisecond latencies and high throughput for file operations. It also supports SSD storage, native Windows features such as Distributed File System (DFS) Namespaces and Replication, and user-driven performance scaling.
Reference: Amazon FSx for Windows File Server
Using Microsoft Windows file shares
A company runs HPC workloads requiring high IOPS.
Which combination of steps will meet these requirements? (Select TWO)
- A . Use Amazon EFS as a high-performance file system.
- B . Use Amazon FSx for Lustre as a high-performance file system.
- C . Create an Auto Scaling group of EC2 instances. Use Reserved Instances. Configure a spread placement group. Use AWS Batch for analytics.
- D . Use Mountpoint for Amazon S3 as a high-performance file system.
- E . Create an Auto Scaling group of EC2 instances. Use mixed instance types and a cluster placement group. Use Amazon EMR for analytics.
B, E
Explanation:
Option B: FSx for Lustre is designed for HPC workloads with high IOPS.
Option E: A cluster placement group ensures low-latency networking for HPC analytics workloads.
Option A: Amazon EFS is not optimized for HPC.
Option D: Mountpoint for S3 does not meet high IOPS needs.
An online gaming company hosts its platform on Amazon EC2 instances behind Network Load Balancers (NLBs) across multiple AWS Regions. The NLBs can route requests to targets over the internet. The company wants to improve the customer playing experience by reducing end-to-end load time for its global customer base.
Which solution will meet these requirements?
- A . Create Application Load Balancers (ALBs) in each Region to replace the existing NLBs. Register the existing EC2 instances as targets for the ALBs in each Region.
- B . Configure Amazon Route 53 to route equally weighted traffic to the NLBs in each Region.
- C . Create additional NLBs and EC2 instances in other Regions where the company has large customer bases.
- D . Create a standard accelerator in AWS Global Accelerator. Configure the existing NLBs as target endpoints.
D
Explanation:
The company wants to reduce end-to-end load time for its global customer base. AWS Global Accelerator provides a network optimization service that reduces latency by routing traffic to the nearest AWS edge locations, improving the user experience for globally distributed customers.
AWS Global Accelerator:
Global Accelerator improves the performance of your applications by routing traffic through AWS’s global network infrastructure. This reduces the number of hops and latency compared to using the public internet.
By creating a standard accelerator and configuring the existing NLBs as target endpoints, Global Accelerator ensures that traffic from users around the world is routed to the nearest AWS edge location and then through optimized paths to the NLBs in each region. This significantly improves end-to-end load time for global customers.
Why Not the Other Options?
Option A (ALBs instead of NLBs): ALBs are designed for HTTP/HTTPS traffic and provide layer 7 features, but they wouldn’t solve the latency issue for a global customer base. The key problem here is latency, and Global Accelerator is specifically designed to address that.
Option B (Route 53 weighted routing): Route 53 can route traffic to different regions, but it doesn’t optimize network performance. It simply balances traffic between endpoints without improving latency.
Option C (Additional NLBs in more regions): This could potentially improve latency but would require setting up infrastructure in multiple regions. Global Accelerator is a simpler and more efficient solution that leverages AWS’s existing global network.
AWS
Reference: AWS Global Accelerator
By using AWS Global Accelerator with the existing NLBs, the company can optimize global traffic routing and improve the customer experience by minimizing latency. Therefore, Option D is the correct answer.
A solutions architect creates a VPC that includes two public subnets and two private subnets. A corporate security mandate requires the solutions architect to launch all Amazon EC2 instances in a private subnet. However, when the solutions architect launches an EC2 instance that runs a web server on ports 80 and 443 in a private subnet, no external internet traffic can connect to the server.
What should the solutions architect do to resolve this issue?
- A . Attach the EC2 instance to an Auto Scaling group in a private subnet. Ensure that the DNS record for the website resolves to the Auto Scaling group identifier.
- B . Provision an internet-facing Application Load Balancer (ALB) in a public subnet. Add the EC2 instance to the target group that is associated with the ALB. Ensure that the DNS record for the website resolves to the ALB.
- C . Launch a NAT gateway in a private subnet. Update the route table for the private subnets to add a default route to the NAT gateway. Attach a public Elastic IP address to the NAT gateway.
- D . Ensure that the security group that is attached to the EC2 instance allows HTTP traffic on port 80 and HTTPS traffic on port 443. Ensure that the DNS record for the website resolves to the public IP address of the EC2 instance.
B
Explanation:
An Application Load Balancer (ALB) is a type of Elastic Load Balancer (ELB) that distributes incoming application traffic across multiple targets, such as EC2 instances, containers, Lambda functions, and IP addresses, in multiple Availability Zones1. An ALB can be internet-facing or internal. An internet-facing ALB has a public DNS name that clients can use to send requests over the internet1. An internal ALB has a private DNS name that clients can use to send requests within a VPC1. This solution meets the requirements of the question because:
It allows external internet traffic to connect to the web server on ports 80 and 443, as the ALB listens for requests on these ports and forwards them to the EC2 instance in the private subnet1.
It does not violate the corporate security mandate, as the EC2 instance is launched in a private subnet and does not have a public IP address or a route to an internet gateway2.
It reduces the operational overhead, as the ALB is a fully managed service that handles the tasks of load balancing, health checking, scaling, and security1.
A gaming company is building an application that uses a database to store user data. The company wants the database to have an active-active configuration that allows data writes to a secondary AWS Region. The database must achieve a sub-second recovery point objective (RPO).
- A . Deploy an Amazon ElastiCache (Redis OSS) cluster. Configure a global data store for disaster recovery. Configure the ElastiCache cluster to cache data from an Amazon RDS database that is deployed in the primary Region.
- B . Deploy an Amazon DynamoDB table in the primary Region and the secondary Region. Configure
Amazon DynamoDB Streams to invoke an AWS Lambda function to write changes from the table in the primary Region to the table in the secondary Region. - C . Deploy an Amazon Aurora MySQL database in the primary Region. Configure a global database for the secondary Region.
- D . Deploy an Amazon DynamoDB table in the primary Region. Configure global tables for the secondary Region.
D
Explanation:
A company runs a fleet of web servers using an Amazon RDS for PostgreSQL DB instance After a routine compliance check, the company sets a standard that requires a recovery pant objective (RPO) of less than 1 second for all its production databases.
Which solution meets these requirement?
- A . Enable a Multi-AZ deployment for the DB Instance
- B . Enable auto scaling for the OB instance m one Availability Zone.
- C . Configure the 06 instance in one Availability Zone and create multiple read replicas in a separate Availability Zone
- D . Configure the 06 instance in one Availability Zone, and configure AWS Database Migration Service (AWS DMS) change data capture (CDC) tasks
A
Explanation:
This option is the most efficient because it uses a Multi-AZ deployment for the DB instance, which provides enhanced availability and durability for RDS database instances by automatically replicating
the data to a standby instance in a different Availability Zone1. It also provides a recovery point objective (RPO) of less than 1 second for all its production databases, as the standby instance is kept in sync with the primary instance using synchronous physical replication2. This solution meets the requirement of requiring a RPO of less than 1 second for all its production databases.
Option B is less efficient because it uses auto scaling for the DB instance in one Availability Zone, which is a way to automatically adjust the compute capacity of your DB instance based on load or a schedule3. However, this does not provide a RPO of less than 1 second for all its production databases, as it does not replicate the data to another Availability Zone.
Option C is less efficient because it uses read replicas in a separate Availability Zone, which are read-only copies of your primary database that can serve read traffic and support scaling. However, this does not provide a RPO of less than 1 second for all its production databases, as read replicas use asynchronous replication and can lag behind the primary database.
Option D is less efficient because it uses AWS Database Migration Service (AWS DMS) change data capture (CDC) tasks, which are tasks that capture changes made to source data and apply them to target data. However, this does not provide a RPO of less than 1 second for all its production databases, as AWS DMS uses asynchronous replication and can lag behind the source database.
A development team needs to host a website that will be accessed by other teams. The website contents consist of HTML, CSS, client-side JavaScript, and images.
Which method is the MOST cost-effective for hosting the website?
- A . Containerize the website and host it in AWS Fargate.
- B . Create an Amazon S3 bucket and host the website there
- C . Deploy a web server on an Amazon EC2 instance to host the website.
- D . Configure an Application Loa d Balancer with an AWS Lambda target that uses the Express js framework.
B
Explanation:
In Static Websites, Web pages are returned by the server which are prebuilt.
They use simple languages such as HTML, CSS, or JavaScript.
There is no processing of content on the server (according to the user) in Static Websites. Web pages are returned by the server with no change therefore, static Websites are fast.
There is no interaction with databases.
Also, they are less costly as the host does not need to support server-side processing with different languages.
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In Dynamic Websites, Web pages are returned by the server which are processed during runtime means they are not prebuilt web pages but they are built during runtime according to the user’s demand.
These use server-side scripting languages such as PHP, Node.js, ASP.NET and many more supported by the server.
So, they are slower than static websites but updates and interaction with databases are possible.
A company wants to migrate an on-premises data center to AWS. The data canter hosts an SFTP server that stores its data on an NFS-based file system. The server holds 200 GB of data that needs to be transferred. The server must be hosted on an Amazon EC2 instance that uses an Amazon Elastic File System (Amazon EFS) file system
When combination of steps should a solutions architect take to automate this task? (Select TWO)
- A . Launch the EC2 instance into the same Avalability Zone as the EFS fie system
- B . install an AWS DataSync agent m the on-premises data center
- C . Create a secondary Amazon Elastic Block Store (Amazon EBS) volume on the EC2 instance tor the data
- D . Manually use an operating system copy command to push the data to the EC2 instance
- E . Use AWS DataSync to create a suitable location configuration for the onprermises SFTP server
BE
Explanation:
AWS DataSync is an online data movement and discovery service that simplifies data migration and helps users quickly, easily, and securely move their file or object data to, from, and between AWS storage services1. Users can use AWS DataSync to transfer data between on-premises and AWS storage services. To use AWS DataSync, users need to install an AWS DataSync agent in the on-premises data center. The agent is a software appliance that connects to the source or destination storage system and handles the data transfer to or from AWS over the network2. Users also need to use AWS DataSync to create a suitable location configuration for the on-premises SFTP server. A location is a logical representation of a storage system that contains files or objects that users want to transfer using DataSync. Users can create locations for NFS shares, SMB shares, HDFS file systems, self-managed object storage, Amazon S3 buckets, Amazon EFS file systems, Amazon FSx for Windows File Server file systems, Amazon FSx for Lustre file systems, Amazon FSx for OpenZFS file systems, Amazon FSx for NetApp ONTAP file systems, and AWS Snowcone devices3.
A company runs a real-time data ingestion solution on AWS. The solution consists of the most recent version of Amazon Managed Streaming for Apache Kafka (Amazon MSK). The solution is deployed in a VPC in private subnets across three Availability Zones.
A solutions architect needs to redesign the data ingestion solution to be publicly available over the internet. The data in transit must also be encrypted.
Which solution will meet these requirements with the MOST operational efficiency?
- A . Configure public subnets in the existing VPC. Deploy an MSK cluster in the public subnets. Update the MSK cluster security settings to enable mutual TLS authentication.
- B . Create a new VPC that has public subnets. Deploy an MSK cluster in the public subnets. Update the MSK cluster security settings to enable mutual TLS authentication.
- C . Deploy an Application Load Balancer (ALB) that uses private subnets. Configure an ALB security group inbound rule to allow inbound traffic from the VPC CIDR block for HTTPS protocol.
- D . Deploy a Network Load Balancer (NLB) that uses private subnets. Configure an NLB listener for HTTPS communication over the internet.
A
Explanation:
The solution that meets the requirements with the most operational efficiency is to configure public subnets in the existing VPC and deploy an MSK cluster in the public subnets. This solution allows the data ingestion solution to be publicly available over the internet without creating a new VPC or deploying a load balancer. The solution also ensures that the data in transit is encrypted by enabling mutual TLS authentication, which requires both the client and the server to present certificates for verification. This solution leverages the public access feature of Amazon MSK, which is available for clusters running Apache Kafka 2.6.0 or later versions1.
The other solutions are not as efficient as the first one because they either create unnecessary resources or do not encrypt the data in transit. Creating a new VPC with public subnets would incur additional costs and complexity for managing network resources and routing. Deploying an ALB or an NLB would also add more costs and latency for the data ingestion solution. Moreover, an ALB or an NLB would not encrypt the data in transit by itself, unless they are configured with HTTPS listeners and certificates, which would require additional steps and maintenance. Therefore, these solutions are not optimal for the given requirements.
Reference: Public access – Amazon Managed Streaming for Apache Kafka
A retail company uses a regional Amazon API Gateway API for its public REST APIs. The API Gateway endpoint is a custom domain name that points to an Amazon Route 53 alias record. A solutions architect needs to create a solution that has minimal effects on customers and minimal data loss to release the new version of APIs.
Which solution will meet these requirements?
- A . Create a canary release deployment stage for API Gateway. Deploy the latest API version. Point an appropriate percentage of traffic to the canary stage. After API verification, promote the canary stage
to the production stage. - B . Create a new API Gateway endpoint with a new version of the API in OpenAPI YAML file format. Use the import-to-update operation in merge mode into the API in API Gateway. Deploy the new version of the API to the production stage.
- C . Create a new API Gateway endpoint with a new version of the API in OpenAPI JSON file format. Use the import-to-update operation in overwrite mode into the API in API Gateway. Deploy the new version of the API to the production stage.
- D . Create a new API Gateway endpoint with new versions of the API definitions. Create a custom domain name for the new API Gateway API. Point the Route 53 alias record to the new API Gateway API custom domain name.
A
Explanation:
This answer is correct because it meets the requirements of releasing the new version of APIs with minimal effects on customers and minimal data loss. A canary release deployment is a software development strategy in which a new version of an API is deployed for testing purposes, and the base version remains deployed as a production release for normal operations on the same stage. In a canary release deployment, total API traffic is separated at random into a production release and a canary release with a pre-configured ratio. Typically, the canary release receives a small percentage of API traffic and the production release takes up the rest. The updated API features are only visible to API traffic through the canary. You can adjust the canary traffic percentage to optimize test coverage or performance. By keeping canary traffic small and the selection random, most users are not adversely affected at any time by potential bugs in the new version, and no single user is adversely affected all the time. After the test metrics pass your requirements, you can promote the canary release to the production release and disable the canary from the deployment. This makes the new features available in the production stage.
Reference: https://docs.aws.amazon.com/apigateway/latest/developerguide/canary-release.html