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Amazon SAA-C03 (Amazon AWS Certified Solutions Architect - Associate) exam is a certification exam designed to test the skills and knowledge of individuals who want to become an AWS Certified Solutions Architect. SAA-C03 exam is intended for individuals who have experience designing distributed systems on the AWS platform and have a deep understanding of AWS services and their integration with one another. Successful completion of SAA-C03 Exam demonstrates that a candidate has a deep understanding of AWS services and can design scalable, reliable, and cost-efficient solutions.
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To prepare for the Amazon SAA-C03 Certification Exam, candidates should have a good understanding of AWS services, architecture, and best practices. They should also have hands-on experience with AWS services and be able to design and deploy scalable, highly available, and fault-tolerant systems on AWS. There are many resources available to help candidates prepare for the exam, including official AWS training courses, practice exams, and study materials.
NEW QUESTION # 837
A solutions architect needs to ensure that API calls to Amazon DynamoDB from Amazon EC2 instances in a VPC do not travel across the internet.
Which combination of steps should the solutions architect take to meet this requirement? (Choose two.)
Answer: C,E
Explanation:
B and E are the correct answers because they allow the solutions architect to ensure that API calls to Amazon DynamoDB from Amazon EC2 instances in a VPC do not travel across the internet. By creating a gateway endpoint for DynamoDB, the solutions architect can enable private connectivity between the VPC and DynamoDB. By creating a security group entry in the endpoint's security group to provide access, the solutions architect can control which EC2 instances can communicate with DynamoDB through the endpoint.
References:
Gateway Endpoints
Controlling Access to Services with VPC Endpoints
NEW QUESTION # 838
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?
Answer: D
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 # 839
[Design High-Performing Architectures]
A company recently started using Amazon Aurora as the data store for its global ecommerce application When large reports are run developers report that the ecommerce application is performing poorly After reviewing metrics in Amazon CloudWatch, a solutions architect finds that the ReadlOPS and CPUUtilization metrics are spiking when monthly reports run.
What is the MOST cost-effective solution?
Answer: D
Explanation:
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/Aurora.Replication.html
#Aurora.Replication.Replicas Aurora Replicas have two main purposes. You can issue queries to them to scale the read operations for your application. You typically do so by connecting to the reader endpoint of the cluster. That way, Aurora can spread the load for read-only connections across as many Aurora Replicas as you have in the cluster. Aurora Replicas also help to increase availability. If the writer instance in a cluster becomes unavailable, Aurora automatically promotes one of the reader instances to take its place as the new writer.
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/Aurora.Overview.html
NEW QUESTION # 840
An ecommerce company needs to run a scheduled daily job to aggregate and filler sales records for analytics.
The company stores the sales records in an Amazon S3 bucket. Each object can be up to 10 G6 in size Based on the number of sales events, the job can take up to an hour to complete. The CPU and memory usage of the fob are constant and are known in advance.
A solutions architect needs to minimize the amount of operational effort that is needed for the job to run.
Which solution meets these requirements?
Answer: D
NEW QUESTION # 841
A company has a large amount of data in an Amazon DynamoDB table. A large batch of data is appended to the table once each day. The company wants a solution that will make all the existing and future data in DynamoDB available for analytics on a long-term basis. Which solution meets these requirements with the LEAST operational overhead?
Answer: A
Explanation:
* Incremental Exports: Exporting DynamoDB data directly to Amazon S3 provides an automated, serverless way to make data available for analytics without operational overhead.
* Analytics-Friendly Storage: Amazon S3 supports long-term analytics workloads and can integrate with tools like Athena or QuickSight.: DynamoDB Export to S3 Documentation
NEW QUESTION # 842
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