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Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Exam Sample Questions (Q313-Q318):

NEW QUESTION # 313
A company is hosting a web application on AWS using a single Amazon EC2 instance that stores user-uploaded documents in an Amazon EBS volume. For better scalability and availability, the company duplicated the architecture and created a second EC2 instance and EBS volume in another Availability Zone placing both behind an Application Load Balancer After completing this change, users reported that, each time they refreshed the website, they could see one subset of their documents or the other, but never all of the documents at the same time.
What should a solutions architect propose to ensure users see all of their documents at once?

A. Configure the Application Load Balancer to send the request to both servers Return each document from the correct server.
B. Copy the data from both EBS volumes to Amazon EFS Modify the application to save new documents to Amazon EFS
C. Copy the data so both EBS volumes contain all the documents.
D. Configure the Application Load Balancer to direct a user to the server with the documents

Answer: C

Explanation:
Explanation
Amazon EFS provides file storage in the AWS Cloud. With Amazon EFS, you can create a file system, mount the file system on an Amazon EC2 instance, and then read and write data to and from your file system. You can mount an Amazon EFS file system in your VPC, through the Network File System versions 4.0 and
4.1 (NFSv4) protocol. We recommend using a current generation Linux NFSv4.1 client, such as those found in the latest Amazon Linux, Redhat, and Ubuntu AMIs, in conjunction with the Amazon EFS Mount Helper. For instructions, see Using the amazon-efs-utils Tools.
For a list of Amazon EC2 Linux Amazon Machine Images (AMIs) that support this protocol, see NFS Support. For some AMIs, you'll need to install an NFS client to mount your file system on your Amazon EC2 instance. For instructions, see Installing the NFS Client.
You can access your Amazon EFS file system concurrently from multiple NFS clients, so applications that scale beyond a single connection can access a file system. Amazon EC2 instances running in multiple Availability Zones within the same AWS Region can access the file system, so that many users can access and share a common data source.
https://docs.aws.amazon.com/efs/latest/ug/how-it-works.html#how-it-works-ec2

NEW QUESTION # 314
A company wants to design a microservices architecture for an application. Each microservice must perform operations that can be completed within 30 seconds.
The microservices need to expose RESTful APIs and must automatically scale in response to varying loads.
The APIs must also provide client access control and rate limiting to maintain equitable usage and service availability.
Which solution will meet these requirements with the LEAST operational overhead?

A. Use Amazon Elastic Container Service (Amazon ECS) on Amazon EC2 to host each microservice. Use Amazon API Gateway to manage the RESTful API requests.
B. Host each microservice on Amazon EC2 instances in Auto Scaling groups behind an Elastic Load Balancing (ELB) load balancer. Use the ELB to manage the RESTful API requests.
C. Deploy each microservice as a set of AWS Lambda functions. Use Amazon API Gateway to manage the RESTful API requests.
D. Deploy each microservice on Amazon Elastic Beanstalk. Use Amazon CloudFront to manage the RESTful API requests.

Answer: B

NEW QUESTION # 315
An application is using a RESTful API hosted in AWS which uses Amazon API Gateway and AWS Lambda. There is a requirement to trace and analyze user requests as they travel through your Amazon API Gateway APIs to the underlying services.
Which of the following is the most suitable service to use to meet this requirement?

A. AWS X-Ray
B. CloudTrail
C. VPC Flow Logs
D. CloudWatch

Answer: A

Explanation:
You can use AWS X-Ray to trace and analyze user requests as they travel through your Amazon API Gateway APIs to the underlying services. API Gateway supports AWS X-Ray tracing for all API Gateway endpoint types: regional, edge-optimized, and private. You can use AWS X-Ray with Amazon API Gateway in all regions where X-Ray is available.
X-Ray gives you an end-to-end view of an entire request, so you can analyze latencies in your APIs and their backend services. You can use an X-Ray service map to view the latency of an entire request and that of the downstream services that are integrated with X-Ray. And you can configure sampling rules to tell X-Ray which requests to record, at what sampling rates, according to criteria that you specify. If you call an API Gateway API from a service that's already being traced, API Gateway passes the trace through, even if X-Ray tracing is not enabled on the API.
You can enable X-Ray for an API stage by using the API Gateway management console, or by using the API Gateway API or CLI.

VPC Flow Logs is incorrect because this is a feature that enables you to capture information about the IP traffic going to and from network interfaces in your entire VPC. Although it can capture some details about the incoming user requests, it is still better to use AWS X-Ray as it provides a better way to debug and analyze your microservices applications with request tracing so you can find the root cause of your issues and performance.
CloudWatch is incorrect because this is a monitoring and management service. It does not have the capability to trace and analyze user requests as they travel through your Amazon API Gateway APIs.
CloudTrail is incorrect because this is primarily used for IT audits and API logging of all of your AWS resources. It does not have the capability to trace and analyze user requests as they travel through your Amazon API Gateway APIs, unlike AWS X-Ray.
Explanation:
Reference:
https://docs.aws.amazon.com/apigateway/latest/developerguide/apigateway-xray.html Check out this AWS X-Ray Cheat Sheet:
https://tutorialsdojo.com/aws-x-ray/
Instrumenting your Application with AWS X-Ray:
https://tutorialsdojo.com/instrumenting-your-application-with-aws-x-ray/

NEW QUESTION # 316
A company runs a messaging application in the ap-northeast-1 and ap-southeast-2 region. A Solutions Architect needs to create a routing policy wherein a larger portion of traffic from the Philippines and North India will be routed to the resource in the ap-northeast-1 region.
Which Route 53 routing policy should the Solutions Architect use?

A. Geolocation Routing
B. Geoproximity Routing
C. Weighted Routing
D. Latency Routing

Answer: B

Explanation:
Amazon Route 53 is a highly available and scalable Domain Name System (DNS) web service. You can use Route 53 to perform three main functions in any combination: domain registration, DNS routing, and health checking. After you create a hosted zone for your domain, such as example.com, you create records to tell the Domain Name System (DNS) how you want traffic to be routed for that domain. For example, you might create records that cause DNS to do the following:
Route Internet traffic for example.com to the IP address of a host in your data center.
Route email for that domain (jose.rizal@tutorialsdojo.com) to a mail server (mail.tutorialsdojo.com).
Route traffic for a subdomain called operations.manila.tutorialsdojo.com to the IP address of a different host.
Each record includes the name of a domain or a subdomain, a record type (for example, a record with a type of MX routes email), and other information applicable to the record type (for MX records, the hostname of one or more mail servers and a priority for each server).

Route 53 has different routing policies that you can choose from. Below are some of the policies:
Latency Routing lets Amazon Route 53 serve user requests from the AWS Region that provides the lowest latency. It does not, however, guarantee that users in the same geographic region will be served from the same location.
Geoproximity Routing lets Amazon Route 53 route traffic to your resources based on the geographic location of your users and your resources. You can also optionally choose to route more traffic or less to a given resource by specifying a value, known as a bias. A bias expands or shrinks the size of the geographic region from which traffic is routed to a resource.
Geolocation Routing lets you choose the resources that serve your traffic based on the geographic location of your users, meaning the location that DNS queries originate from.
Weighted Routing lets you associate multiple resources with a single domain name (tutorialsdojo.com) or subdomain name (subdomain.tutorialsdojo.com) and choose how much traffic is routed to each resource.
In this scenario, the problem requires a routing policy that will let Route 53 route traffic to the resource in the Tokyo region from a larger portion of the Philippines and North India.

You need to use Geoproximity Routing and specify a bias to control the size of the geographic region from which traffic is routed to your resource. The sample image above uses a bias of -40 in the Tokyo region and a bias of 1 in the Sydney Region. Setting up the bias configuration in this manner would cause Route 53 to route traffic coming from the middle and northern part of the Philippines, as well as the northern part of India to the resource in the Tokyo Region. Hence, the correct answer is:
Geoproximity Routing.
Geolocation Routing is incorrect because you cannot control the coverage size from which traffic is routed to your instance in Geolocation Routing. It just lets you choose the instances that will serve traffic based on the location of your users.
Latency Routing is incorrect because it is mainly used for improving performance by letting Route 53 serve user requests from the AWS Region that provides the lowest latency.
Weighted Routing is incorrect because it is used for routing traffic to multiple resources in proportions that you specify. This can be useful for load balancing and testing new versions of a software.
References:
https://docs.aws.amazon.com/Route53/latest/DeveloperGuide/routing-policy.html#routing-policy-geoprox imity
https://docs.aws.amazon.com/Route53/latest/DeveloperGuide/rrsets-working-with.html Latency Routing vs Geoproximity Routing vs Geolocation Routing:
https://tutorialsdojo.com/latency-routing-vs-geoproximity-routing-vs-geolocation-routing/

NEW QUESTION # 317
A company has an on-premises server that uses an Oracle database to process and store customer information The company wants to use an AWS database service to achieve higher availability and to improve application performance. The company also wants to offload reporting from its primary database system.
Which solution will meet these requirements in the MOST operationally efficient way?

A. Use Amazon RDS in a Single-AZ deployment to create an Oracle database Create a read replica in the same zone as the primary DB instance. Direct the reporting functions to the read replica.
B. Use AWS Database Migration Service (AWS DMS) to create an Amazon RDS DB instance in multiple AWS Regions Point the reporting functions toward a separate DB instance from the primary DB instance.
C. Use Amazon RDS deployed in a Multi-AZ cluster deployment to create an Oracle database Direct the reporting functions to use the reader instance in the cluster deployment
D. Use Amazon RDS deployed in a Multi-AZ instance deployment to create an Amazon Aurora database. Direct the reporting functions to the reader instances.

Answer: D

Explanation:
Amazon Aurora is a fully managed relational database that is compatible with MySQL and PostgreSQL. It provides up to five times better performance than MySQL and up to three times better performance than PostgreSQL. It also provides high availability and durability by replicating data across multiple Availability Zones and continuously backing up data to Amazon S31. By using Amazon RDS deployed in a Multi-AZ instance deployment to create an Amazon Aurora database, the solution can achieve higher availability and improve application performance.
Amazon Aurora supports read replicas, which are separate instances that share the same underlying storage as the primary instance. Read replicas can be used to offload read-only queries from the primary instance and improve performance. Read replicas can also be used for reporting functions2. By directing the reporting functions to the reader instances, the solution can offload reporting from its primary database system.
a) Use AWS Database Migration Service (AWS DMS) to create an Amazon RDS DB instance in multiple AWS Regions Point the reporting functions toward a separate DB instance from the pri-mary DB instance. This solution will not meet the requirement of using an AWS database service, as AWS DMS is a service that helps users migrate databases to AWS, not a database service itself. It also involves creating multiple DB instances in different Regions, which may increase complexity and cost.
b) Use Amazon RDS in a Single-AZ deployment to create an Oracle database Create a read replica in the same zone as the primary DB instance. Direct the reporting functions to the read replica. This solution will not meet the requirement of achieving higher availability, as a Single-AZ deployment does not provide failover protection in case of an Availability Zone outage. It also involves using Oracle as the database engine, which may not provide better performance than Aurora.
c) Use Amazon RDS deployed in a Multi-AZ cluster deployment to create an Oracle database Di-rect the reporting functions to use the reader instance in the cluster deployment. This solution will not meet the requirement of improving application performance, as Oracle may not provide better performance than Aurora. It also involves using a cluster deployment, which is only supported for Aurora, not for Oracle.
Reference URL: https://aws.amazon.com/rds/aurora/

NEW QUESTION # 318
......

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