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Free PDF Quiz Amazon - SAA-C03 - AWS Certified Solutions Architect - Associate Pass-Sure Reliable Exam Preparation
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The SAA-C03 exam covers a wide range of topics, including AWS core services, security, networking, storage, databases, and AWS architecture best practices. Candidates must have a strong understanding of AWS services, such as Amazon Elastic Compute Cloud (EC2), Amazon Simple Storage Service (S3), Amazon Relational Database Service (RDS), and Amazon Virtual Private Cloud (VPC), as well as the ability to design and deploy highly available and fault-tolerant systems on the AWS platform.
Amazon SAA-C03 Exam is designed for IT professionals who want to become certified in Amazon Web Services (AWS) solutions architecture. It is the latest version of the AWS Certified Solutions Architect - Associate certification, which has been updated to include the latest AWS services and features. AWS Certified Solutions Architect - Associate certification is intended for individuals who are interested in designing and deploying scalable, highly available, and fault-tolerant systems on AWS.
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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q645-Q650):
NEW QUESTION # 645
A Solutions Architect needs to make sure that the On-Demand EC2 instance can only be accessed from this IP address (110.238.98.71) via an SSH connection.
Which configuration below will satisfy this requirement?
- A. Security Group Inbound Rule: Protocol - TCP. Port Range - 22, Source 110.238.98.71/0
- B. Security Group Inbound Rule: Protocol - UDP, Port Range - 22, Source 110.238.98.71/32
- C. Security Group Inbound Rule: Protocol - TCP. Port Range - 22, Source 110.238.98.71/32
- D. Security Group Inbound Rule: Protocol - UDP, Port Range - 22, Source 110.238.98.71/0
Answer: C
Explanation:
A security group acts as a virtual firewall for your instance to control inbound and outbound traffic. When you launch an instance in a VPC, you can assign up to five security groups to the instance. Security groups act at the instance level, not the subnet level. Therefore, each instance in a subnet in your VPC can be assigned to a different set of security groups.
The requirement is to only allow the individual IP of the client and not the entire network. Therefore, the proper CIDR notation should be used. The /32 denotes one IP address and the /0 refers to the entire network. Take note that the SSH protocol uses TCP and port 22.
Hence, the correct answer is: Protocol - TCP, Port Range - 22, Source 110.238.98.71/32 Protocol - UDP, Port Range - 22, Source 110.238.98.71/32 and Protocol - UDP, Port Range - 22, Source 110.238.98.71/0 are incorrect as they are using UDP.
Protocol - TCP, Port Range - 22, Source 110.238.98.71/0 is incorrect because it uses a /0 CIDR notation.
Protocol - TCP, Port Range - 22, Source 110.238.98.71/0 is incorrect because it allows the entire network instead of a single IP.
Explanation:
Reference:
https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/using-network-security.html#security-group-rul es Tutorials Dojo's AWS Certified Solutions Architect Associate Exam Study Guide:
https://tutorialsdojo.com/aws-certified-solutions-architect-associate/
NEW QUESTION # 646
A solutions architect is instructed to host a website that consists of HTML, CSS, and some Javascript files. The web pages will display several high-resolution images. The website should have optimal loading times and be able to respond to high request rates.
Which of the following architectures can provide the most cost-effective and fastest loading experience?
- A. Upload the HTML, CSS, Javascript, and the images in a single bucket. Then enable website hosting.
Create a CloudFront distribution and point the domain on the S3 website endpoint. - B. Host the website in an AWS Elastic Beanstalk environment. Upload the images in an S3 bucket. Use CloudFront as a CDN to deliver the images closer to your end-users.
- C. Launch an Auto Scaling Group using an AMI that has a pre-configured Apache web server, then configure the scaling policy accordingly. Store the images in an Elastic Block Store. Then, point your instance's endpoint to AWS Global Accelerator.
- D. Host the website using an Nginx server in an EC2 instance. Upload the images in an S3 bucket. Use CloudFront as a CDN to deliver the images closer to end-users.
Answer: A
Explanation:
Amazon S3 is an object storage service that offers industry-leading scalability, data availability, security, and performance. Additionally, You can use Amazon S3 to host a static website. On a static website, individual webpages include static content. Amazon S3 is highly scalable and you only pay for what you use, you can start small and grow your application as you wish, with no compromise on performance or reliability.
Amazon CloudFront is a fast content delivery network (CDN) service that securely delivers data, videos, applications, and APIs to customers globally with low latency, high transfer speeds. CloudFront can be integrated with Amazon S3 for fast delivery of data originating from an S3 bucket to your end-users. By design, delivering data out of CloudFront can be more cost-effective than delivering it from S3 directly to your users.
In the scenario, Since we are only dealing with static content, we can leverage the web hosting feature of S3. Then we can improve the architecture further by integrating it with CloudFront. This way, users will be able to load both the web pages and images faster than if we hosted them on a webserver that we built from scratch.
Hence, the correct answer is: Upload the HTML, CSS, Javascript, and the images in a single bucket.
Then enable website hosting. Create a CloudFront distribution and point the domain on the S3 website endpoint.
The option that says: Host the website using an Nginx server in an EC2 instance. Upload the images in an S3 bucket. Use CloudFront as a CDN to deliver the images closer to end-users is incorrect. Creating your own web server to host a static website in AWS is a costly solution. Web Servers on an EC2 instance are usually used for hosting applications that require server-side processing (connecting to a database, data validation, etc.). Since static websites contain web pages with fixed content, we should use S3 website hosting instead.
The option that says: Launch an Auto Scaling Group using an AMI that has a pre-configured Apache web server, then configure the scaling policy accordingly. Store the images in an Elastic Block Store. Then, point your instance's endpoint to AWS Global Accelerator is incorrect. This is how we serve static websites in the old days. Now, with the help of S3 website hosting, we can host our static contents from a durable, high-availability, and highly scalable environment without managing any servers. Hosting static websites in S3 is cheaper than hosting it in an EC2 instance. In addition, Using ASG for scaling instances that host a static website is an over-engineered solution that carries unnecessary costs. S3 automatically scales to high requests and you only pay for what you use.
The option that says: Host the website in an AWS Elastic Beanstalk environment. Upload the images in an S3 bucket. Use CloudFront as a CDN to deliver the images closer to your end-users is incorrect.
AWS Elastic Beanstalk simply sets up the infrastructure (EC2 instance, load balancer, auto-scaling group) for your application. It's a more expensive and a bit of an overkill solution for hosting a bunch of client-side files.
References:
https://docs.aws.amazon.com/AmazonS3/latest/dev/WebsiteHosting.html
https://aws.amazon.com/blogs/networking-and-content-delivery/amazon-s3-amazon-cloudfront-a-match- made-in-the-cloud/ Check out these Amazon S3 and CloudFront Cheat Sheets: https://tutorialsdojo.com/amazon-s3/
https://tutorialsdojo.com/amazon-cloudfront/
NEW QUESTION # 647
A company has an on-premises application that generates a large amount of time-sensitive data that is backed up to Amazon S3. The application has grown and there are user complaints about internet bandwidth limitations. A solutions architect needs to design a long-term solution that allows for both timely backups to Amazon S3 and with minimal impact on internet connectivity for internal users.
Which solution meets these requirements?
- A. Order daily AWS Snowball devices Load the data onto the Snowball devices and return the devices to AWS each day.
- B. Establish AWS VPN connections and proxy all traffic through a VPC gateway endpoint
- C. Submit a support ticket through the AWS Management Console Request the removal of S3 service limits from the account.
- D. Establish a new AWS Direct Connect connection and direct backup traffic through this new connection.
Answer: D
Explanation:
To address the issue of bandwidth limitations on the company's on-premises application, and to minimize the impact on internal user connectivity, a new AWS Direct Connect connection should be established to direct backup traffic through this new connection. This solution will offer a secure, high-speed connection between the company's data center and AWS, which will allow the company to transfer data quickly without consuming internet bandwidth.
Reference:
AWS Direct Connect documentation: https://aws.amazon.com/directconnect/
NEW QUESTION # 648
A customer is transitioning their ActiveMQ messaging broker service onto the AWS cloud in which they require an alternative asynchronous service that supports NMS and MQTT messaging protocol. The customer does not have the time and resources needed to recreate their messaging service in the cloud.
The service has to be highly available and should require almost no management overhead.
Which of the following is the most suitable service to use to meet the above requirement?
- A. Amazon SWF
- B. Amazon SNS
- C. AWS Step Functions
- D. Amazon MQ
Answer: D
Explanation:
Amazon MQ is a managed message broker service for Apache ActiveMQ that makes it easy to set up and operate message brokers in the cloud. Connecting your current applications to Amazon MQ is easy because it uses industry-standard APIs and protocols for messaging, including JMS, NMS, AMQP, STOMP, MQTT, and WebSocket. Using standards means that in most cases, there's no need to rewrite any messaging code when you migrate to AWS.
Amazon MQ, Amazon SQS, and Amazon SNS are messaging services that are suitable for anyone from startups to enterprises. If you're using messaging with existing applications and want to move your messaging service to the cloud quickly and easily, it is recommended that you consider Amazon MQ. It supports industry-standard APIs and protocols so you can switch from any standards-based message broker to Amazon MQ without rewriting the messaging code in your applications.
If you are building brand new applications in the cloud, then it is highly recommended that you consider Amazon SQS and Amazon SNS. Amazon SQS and SNS are lightweight, fully managed message queue and topic services that scale almost infinitely and provide simple, easy-to-use APIs. You can use Amazon SQS and SNS to decouple and scale microservices, distributed systems, and serverless applications, and improve reliability.
Hence, Amazon MQ is the correct answer.
Amazon SNS is incorrect because this is more suitable as a pub/sub messaging service instead of a message broker service.
Amazon SQS is incorrect. Although this is a fully managed message queuing service, it does not support an extensive list of industry-standard messaging APIs and protocol, unlike Amazon MQ. Moreover, using Amazon SQS requires you to do additional changes in the messaging code of applications to make it compatible.
AWS Step Functions is incorrect because this is a serverless function orchestrator and not a messaging service, unlike Amazon MQ, AmazonSQS, and Amazon SNS. References:
https://aws.amazon.com/amazon-mq/
https://aws.amazon.com/messaging/
https://docs.aws.amazon.com/AWSSimpleQueueService/latest/SQSDeveloperGuide/welcome.html#sqs- difference-from-amazon-mq-sns Check out this Amazon MQ Cheat Sheet:
https://tutorialsdojo.com/amazon-mq/
NEW QUESTION # 649
A company runs an online marketplace web application on AWS. The application serves hundreds of thousands of users during peak hours. The company needs a scalable, near-real-time solution to share the details of millions of financial transactions with several other internal applications Transactions also need to be processed to remove sensitive data before being stored in a document database for low-latency retrieval.
What should a solutions architect recommend to meet these requirements?
- A. Stream the transactions data into Amazon Kinesis Data Streams Use AWS Lambda integration to remove sensitive data from every transaction and then store the transactions data in Amazon DynamoDB Other applications can consume the transactions data off the Kinesis data stream.
- B. Store the batched transactions data in Amazon S3 as files. Use AWS Lambda to process every file and remove sensitive data before updating the files in Amazon S3 The Lambda function then stores the data in Amazon DynamoDB Other applications can consume transaction files stored in Amazon S3.
- C. Stream the transactions data into Amazon Kinesis Data Firehose to store data in Amazon DynamoDB and Amazon S3 Use AWS Lambda integration with Kinesis Data Firehose to remove sensitive data.
Other applications can consume the data stored in Amazon S3 - D. Store the transactions data into Amazon DynamoDB Set up a rule in DynamoDB to remove sensitive data from every transaction upon write Use DynamoDB Streams to share the transactions data with other applications
Answer: A
Explanation:
The destination of your Kinesis Data Firehose delivery stream. Kinesis Data Firehose can send data records to various destinations, including Amazon Simple Storage Service (Amazon S3), Amazon Redshift, Amazon OpenSearch Service, and any HTTP endpoint that is owned by you or any of your third-party service providers. The following are the supported destinations:
* Amazon OpenSearch Service
* Amazon S3
* Datadog
* Dynatrace
* Honeycomb
* HTTP Endpoint
* Logic Monitor
* MongoDB Cloud
* New Relic
* Splunk
* Sumo Logic
https://docs.aws.amazon.com/firehose/latest/dev/create-name.html
https://aws.amazon.com/kinesis/data-streams/
Amazon Kinesis Data Streams (KDS) is a massively scalable and durable real-time data streaming service.
KDS can continuously capture gigabytes of data per second from hundreds of thousands of sources such as website clickstreams, database event streams, financial transactions, social media feeds, IT logs, and location-tracking events.
NEW QUESTION # 650
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