SAA-C03 NEW STUDY MATERIALS - CUSTOMIZED SAA-C03 LAB SIMULATION

SAA-C03 New Study Materials - Customized SAA-C03 Lab Simulation

SAA-C03 New Study Materials - Customized SAA-C03 Lab Simulation

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Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Exam Sample Questions (Q340-Q345):

NEW QUESTION # 340
A solutions architect is designing a customer-facing application for a company. The application's database will have a clearly defined access pattern throughout the year and will have a variable number of reads and writes that depend on the time of year. The company must retain audit records for the database for 7 days. The recovery point objective (RPO) must be less than 5 hours.
Which solution meets these requirements?

  • A. Use Amazon Aurora MySQL with auto scaling. Activate the database auditing parameter
  • B. Use Amazon DynamoDB with auto scaling Use on-demand backups and Amazon DynamoDB Streams
  • C. Use Amazon RDS with Provisioned IOPS Activate the database auditing parameter Perform database snapshots every 5 hours
  • D. Use Amazon Redshift. Configure concurrency scaling. Activate audit logging. Perform database snapshots every 4 hours.

Answer: B

Explanation:
This solution meets the requirements of a customer-facing application that has a clearly defined access pattern throughout the year and a variable number of reads and writes that depend on the time of year. Amazon DynamoDB is a fully managed NoSQL database service that can handle any level of request traffic and data size. DynamoDB auto scaling can automatically adjust the provisioned read and write capacity based on the actual workload. DynamoDB on-demand backups can create full backups of the tables for data protection and archival purposes. DynamoDB Streams can capture a time-ordered sequence of item-level modifications in the tables for audit purposes.
Option B is incorrect because Amazon Redshift is a data warehouse service that is designed for analytical workloads, not for customer-facing applications. Option C is incorrect because Amazon RDS with Provisioned IOPS can provide consistent performance for relational databases, but it may not be able to handle unpredictable spikes in traffic and data size. Option D is incorrect because Amazon Aurora MySQL with auto scaling can provide high performance and availability for relational databases, but it does not support audit logging as a parameter.
Reference:
https://aws.amazon.com/dynamodb/
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/AutoScaling.html
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/BackupRestore.html
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Streams.html


NEW QUESTION # 341
A Solutions Architect needs to set up a bastion host in Amazon VPC. It should only be accessed from the corporate data center via SSH.
What is the best way to achieve this?

  • A. Create a large EC2 instance with a security group which only allows access on port 22 using your own pre-configured password.
  • B. Create a large EC2 instance with a security group which only allows access on port 22 via the IP address of the corporate data center. Use a private key (.pem) file to connect to the bastion host.
  • C. Create a small EC2 instance with a security group which only allows access on port 22 using your own pre-configured password.
  • D. Create a small EC2 instance with a security group which only allows access on port 22 via the IP address of the corporate data center. Use a private key (.pem) file to connect to the bastion host.

Answer: D

Explanation:
The best way to implement a bastion host is to create a small EC2 instance which should only have a security group from a particular IP address for maximum security. This will block any SSH Brute Force attacks on your bastion host. It is also recommended to use a small instance rather than a large one because this host will only act as a jump server to connect to other instances in your VPC and nothing else.

Therefore, there is no point of allocating a large instance simply because it doesn't need that much computing power to process SSH (port 22) or RDP (port 3389) connections. It is possible to use SSH with an ordinary user ID and a pre-configured password as credentials but it is more secure to use public key pairs for SSH authentication for better security.
Hence, the right answer for this scenario is the option that says: Create a small EC2 instance with a security group which only allows access on port 22 via the IP address of the corporate data center. Use a private key (.pem) file to connect to the bastion host.
Creating a large EC2 instance with a security group which only allows access on port 22 using your own pre-configured password and creating a small EC2 instance with a security group which only allows access on port 22 using your own pre-configured password are incorrect. Even though you have your own pre-configured password, the SSH connection can still be accessed by anyone over the Internet, which poses as a security vulnerability.
The option that says: Create a large EC2 instance with a security group which only allows access on port 22 via the IP address of the corporate data center. Use a private key (.pem) file to connect to the bastion host is incorrect because you don't need a large instance for a bastion host as it does not require much CPU resources.
References:
https://docs.aws.amazon.com/quickstart/latest/linux-bastion/architecture.html
https://aws.amazon.com/blogs/security/how-to-record-ssh-sessions-established-through-a-bastion-host/ Check out this Amazon VPC Cheat Sheet:
https://tutorialsdojo.com/amazon-vpc/


NEW QUESTION # 342
A company moved its on-premises PostgreSQL database to an Amazon RDS for PostgreSQL DB instance.
The company successfully launched a new product. The workload on the database has increased.
The company wants to accommodate the larger workload without adding infrastructure.
Which solution will meet these requirements MOST cost-effectively?

  • A. Buy reserved DB instances for the total workload. Add another Amazon RDS for PostgreSQL DB instance.
  • B. Make the Amazon RDS for PostgreSQL DB instance an on-demand DB instance.
  • C. Buy reserved DB instances for the total workload. Make the Amazon RDS for PostgreSQL DB instance larger.
  • D. Make the Amazon RDS for PostgreSQL DB instance a Multi-AZ DB instance.

Answer: C

Explanation:
This answer is correct because it meets the requirements of accommodating the larger workload without adding infrastructure and minimizing the cost. Reserved DB instances are a billing discount applied to the use of certain on-demand DB instances in your account. Reserved DB instances provide you with a significant discount compared to on-demand DB instance pricing. You can buy reserved DB instances for the total workload and choose between three payment options: No Upfront, Partial Upfront, or All Upfront. You can make the Amazon RDS for PostgreSQL DB instance larger by modifying its instance type to a higher performance class. This way, you can increase the CPU, memory, and network capacity of your DB instance and handle the increased workload.
References:
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_WorkingWithReservedDBInstances.h
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/Concepts.DBInstanceClass.html


NEW QUESTION # 343
A company has a dynamic web app written in MEAN stack that is going to be launched in the next month.
There is a probability that the traffic will be quite high in the first couple of weeks.
In the event of a load failure, how can you set up DNS failover to a static website?

  • A. Add more servers in case the application fails.
  • B. Duplicate the exact application architecture in another region and configure DNS weight-based routing.
  • C. Enable failover to an application hosted in an on-premises data center.
  • D. Use Route 53 with the failover option to a static S3 website bucket or CloudFront distribution.

Answer: D

Explanation:
For this scenario, using Route 53 with the failover option to a static S3 website bucket or CloudFront distribution is correct. You can create a new Route 53 with the failover option to a static S3 website bucket or CloudFront distribution as an alternative.

Duplicating the exact application architecture in another region and configuring DNS weight-based routing is incorrect because running a duplicate system is not a cost-effective solution. Remember that you are trying to build a failover mechanism for your web app, not a distributed setup.
Enabling failover to an application hosted in an on-premises data center is incorrect. Although you can set up failover to your on-premises data center, you are not maximizing the AWS environment such as using Route 53 failover.
Adding more servers in case the application fails is incorrect because this is not the best way to handle a failover event. If you add more servers only in case the application fails, then there would be a period of downtime in which your application is unavailable. Since there are no running servers on that period, your application will be unavailable for a certain period of time until your new server is up and running.
Explanation:
Reference:
https://aws.amazon.com/premiumsupport/knowledge-center/fail-over-s3-r53/
http://docs.aws.amazon.com/Route53/latest/DeveloperGuide/dns-failover.html
Check out this Amazon Route 53 Cheat Sheet:
https://tutorialsdojo.com/amazon-route-53/


NEW QUESTION # 344
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. Latency Routing
  • B. Weighted Routing
  • C. Geolocation Routing
  • D. Geoproximity Routing

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 ([email protected]) 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 # 345
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