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Download Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Exam Exam Dumps
NEW QUESTION 43
An insurance company plans to implement a message filtering feature in their web application. To implement this solution, they need to create separate Amazon SQS queues for each type of quote request. The entire message processing should not exceed 24 hours.
As the Solutions Architect of the company, which of the following should you do to meet the above requirement?
Set the filter policies in the SNS subscriptions to publish the message to the designated SQS queue based on its quote request type.B. Create one Amazon SNS topic and configure the Amazon SQS queues to subscribe to the SNS topic.
Publish the same messages to all SQS queues. Filter the messages in each queue based on the quote request type.C. Create multiple Amazon SNS topics and configure the Amazon SQS queues to subscribe to the SNS topics. Publish the message to the designated SQS queue based on the quote request type.D. Create a data stream in Amazon Kinesis Data Streams. Use the Amazon Kinesis Client Library to deliver all the records to the designated SQS queues based on the quote request type.
Answer: A
Explanation:
Amazon SNS is a fully managed pub/sub messaging service. With Amazon SNS, you can use topics to simultaneously distribute messages to multiple subscribing endpoints such as Amazon SQS queues, AWS Lambda functions, HTTP endpoints, email addresses, and mobile devices (SMS, Push). Amazon SQS is a message queue service used by distributed applications to exchange messages through a polling model. It can be used to decouple sending and receiving components without requiring each component to be concurrently available.
A fanout scenario occurs when a message published to an SNS topic is replicated and pushed to multiple endpoints, such as Amazon SQS queues, HTTP(S) endpoints, and Lambda functions. This allows for parallel asynchronous processing.
For example, you can develop an application that publishes a message to an SNS topic whenever an order is placed for a product. Then, two or more SQS queues that are subscribed to the SNS topic receive identical notifications for the new order. An Amazon Elastic Compute Cloud (Amazon EC2) server instance attached to one of the SQS queues can handle the processing or fulfillment of the order.
And you can attach another Amazon EC2 server instance to a data warehouse for analysis of all orders received.
By default, an Amazon SNS topic subscriber receives every message published to the topic. You can use Amazon SNS message filtering to assign a filter policy to the topic subscription, and the subscriber will only receive a message that they are interested in. Using Amazon SNS and Amazon SQS together, messages can be delivered to applications that require immediate notification of an event. This method is known as fanout to Amazon SQS queues.
Hence, the correct answer is: Create one Amazon SNS topic and configure the Amazon SQS queues to subscribe to the SNS topic. Set the filter policies in the SNS subscriptions to publish the message to the designated SQS queue based on its quote request type.
The option that says: Create one Amazon SNS topic and configure the Amazon SQS queues to subscribe to the SNS topic. Publish the same messages to all SQS queues. Filter the messages in each queue based on the quote request type is incorrect because this option will distribute the same messages on all SQS queues instead of its designated queue. You need to fan-out the messages to multiple SQS queues using a filter policy in Amazon SNS subscriptions to allow parallel asynchronous processing. By doing so, the entire message processing will not exceed 24 hours.
The option that says: Create multiple Amazon SNS topics and configure the Amazon SQS queues to subscribe to the SNS topics. Publish the message to the designated SQS queue based on the quote request type is incorrect because to implement the solution asked in the scenario, you only need to use one Amazon SNS topic. To publish it to the designated SQS queue, you must set a filter policy that allows you to fanout the messages. If you didn't set a filter policy in Amazon SNS, the subscribers would receive all the messages published to the SNS topic. Thus, using multiple SNS topics is not an appropriate solution for this scenario.
The option that says: Create a data stream in Amazon Kinesis Data Streams. Use the Amazon Kinesis Client Library to deliver all the records to the designated SQS queues based on the quote request type is incorrect because Amazon KDS is not a message filtering service. You should use Amazon SNS and SQS to distribute the topic to the designated queue.
References:
https://aws.amazon.com/getting-started/hands-on/filter-messages-published-to-topics/
https://docs.aws.amazon.com/sns/latest/dg/sns-message-filtering.html
https://docs.aws.amazon.com/sns/latest/dg/sns-sqs-as-subscriber.html
Check out these Amazon SNS and SQS Cheat Sheets: https://tutorialsdojo.com/amazon-sns/
https://tutorialsdojo.com/amazon-sqs/ Amazon SNS Overview:
https://youtu.be/ft5R45lEUJ8
NEW QUESTION 44
A content management system (CMS) is hosted on a fleet of auto-scaled, On-Demand EC2 instances that use Amazon Aurora as its database. Currently, the system stores the file documents that the users upload in one of the attached EBS Volumes. Your manager noticed that the system performance is quite slow and he has instructed you to improve the architecture of the system.
In this scenario, what will you do to implement a scalable, high-available POSIX-compliant shared file system?
Answer: B
Explanation:
Amazon Elastic File System (Amazon EFS) provides simple, scalable, elastic file storage for use with AWS Cloud services and on-premises resources. When mounted on Amazon EC2 instances, an Amazon EFS file system provides a standard file system interface and file system access semantics, allowing you to seamlessly integrate Amazon EFS with your existing applications and tools. Multiple Amazon EC2 instances can access an Amazon EFS file system at the same time, allowing Amazon EFS to provide a common data source for workloads and applications running on more than one Amazon EC2 instance.
This particular scenario tests your understanding of EBS, EFS, and S3. In this scenario, there is a fleet of On-Demand EC2 instances that store file documents from the users to one of the attached EBS Volumes. The system performance is quite slow because the architecture doesn't provide the EC2 instances parallel shared access to the file documents.
Although an EBS Volume can be attached to multiple EC2 instances, you can only do so on instances within an availability zone.
What we need is high-available storage that can span multiple availability zones. Take note as well that the type of storage needed here is "file storage" which means that S3 is not the best service to use because it is mainly used for "object storage", and S3 does not provide the notion of "folders" too. This is why using EFS is the correct answer.
Upgrading your existing EBS volumes to Provisioned IOPS SSD Volumes is incorrect because an EBS volume is a storage area network (SAN) storage and not a POSIX-compliant shared file system. You have to use EFS instead.
Using ElastiCache is incorrect because this is an in-memory data store that improves the performance of your applications, which is not what you need since it is not a file storage.
Reference:
https://aws.amazon.com/efs/
Check out this Amazon EFS Cheat Sheet:
https://tutorialsdojo.com/amazon-efs/
Check out this Amazon S3 vs EBS vs EFS Cheat Sheet:
https://tutorialsdojo.com/amazon-s3-vs-ebs-vs-efs/
NEW QUESTION 45
A company is designing an application. The application uses an AWS Lambda function to receive information through Amazon API Gateway and to store the information in an Amazon Aurora PostgreSQL database.
During the proof-of-concept stage, the company has to increase the Lambda quotas significantly to handle the high volumes of data that the company needs to load into the database. A solutions architect must recommend a new design to improve scalability and minimize the configuration effort.
Which solution will meet these requirements?
Answer: B
Explanation:
bottlenecks can be avoided with queues (SQS).
NEW QUESTION 46
An investment bank is working with an IT team to handle the launch of the new digital wallet system.
The applications will run on multiple EBS-backed EC2 instances which will store the logs, transactions, and billing statements of the user in an S3 bucket. Due to tight security and compliance requirements, the IT team is exploring options on how to safely store sensitive data on the EBS volumes and S3.
Which of the below options should be carried out when storing sensitive data on AWS? (Select TWO.)
Answer: C,D
Explanation:
Enabling EBS Encryption and enabling Amazon S3 Server-Side or use Client-Side Encryption are correct. Amazon EBS encryption offers a simple encryption solution for your EBS volumes without the need to build, maintain, and secure your own key management infrastructure.
In Amazon S3, data protection refers to protecting data while in-transit (as it travels to and from Amazon S3) and at rest (while it is stored on disks in Amazon S3 data centers). You can protect data in transit by using SSL or by using client-side encryption. You have the following options to protect data at rest in Amazon S3.
Use Server-Side Encryption - You request Amazon S3 to encrypt your object before saving it on disks in its data centers and decrypt it when you download the objects.
Use Client-Side Encryption - You can encrypt data client-side and upload the encrypted data to Amazon S3. In this case, you manage the encryption process, the encryption keys, and related tools.
Creating an EBS Snapshot is incorrect because this is a backup solution of EBS. It does not provide security of data inside EBS volumes when executed.
Migrating the EC2 instances from the public to private subnet is incorrect because the data you want to secure are those in EBS volumes and S3 buckets. Moving your EC2 instance to a private subnet involves a different matter of security practice, which does not achieve what you want in this scenario.
Using AWS Shield and WAF is incorrect because these protect you from common security threats for your web applications. However, what you are trying to achieve is securing and encrypting your data inside EBS and S3.
References:
http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/EBSEncryption.html
http://docs.aws.amazon.com/AmazonS3/latest/dev/UsingEncryption.html Check out this Amazon EBS Cheat Sheet: https://tutorialsdojo.com/amazon-ebs/
NEW QUESTION 47
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