REAL AWS-SOLUTIONS-ARCHITECT-ASSOCIATE TESTING ENVIRONMENT - EXAM AWS-SOLUTIONS-ARCHITECT-ASSOCIATE REVIEW

Real AWS-Solutions-Architect-Associate Testing Environment - Exam AWS-Solutions-Architect-Associate Review

Real AWS-Solutions-Architect-Associate Testing Environment - Exam AWS-Solutions-Architect-Associate Review

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The AWS-Solutions-Architect-Associate Certification is based on the AWS Certified Solutions Architect - Associate (SAA-C02) exam, which was released in March 2020. The new exam is designed to test the candidate's knowledge of the latest AWS services, best practices, and architecture patterns. It includes new topics such as serverless computing, containerization, high-performance computing, and more. The new exam also emphasizes hands-on experience and practical skills, making it more challenging and rewarding for candidates who pass the exam.

Amazon AWS Certified Solutions Architect - Associate (SAA-C02) Sample Questions (Q294-Q299):

NEW QUESTION # 294
A solutions architect is helping a developer design a new ecommerce shopping cart application using AWS services. The developer is unsure of the current database schema and expects to make changes as the ecommerce site grows. The solution needs to be highly resilient and capable of automatically scaling read and write capacity.
Which database solution meets these requirements?

  • A. Amazon SQS and Amazon Aurora PostgreSQL
  • B. Amazon DynamoDB with on-demand enabled
  • C. Amazon DynamoDB with DynamoDB Streams enabled
  • D. Amazon Aurora PostgreSQL

Answer: D


NEW QUESTION # 295
t solutions architect finds that an Amazon Aurora cluster with On-Demand Instance pricing is being underutilized for a blog application. The application is used only for a few minutes several times each day for reads.
What should a solutions architect do to optimize utilization MOST oosl-elfectively?

  • A. Convert the original Aurora Database to Aurora Aurora serverless
  • B. Convert the original Aurora Database to Aurora parallel query
  • C. Convert the original Aurora Database to Aurora global database
  • D. Enable auto scaling on the original Aurora Database

Answer: A


NEW QUESTION # 296
A company has two applications: a sender application that sends messages with payloads to be processed and a processing application intended to receive the messages with payloads. The company wants to implement an AWS service to handle messages between the two applications. The sender application can send about 1.000 messages each hour. The messages may take up to 2 days to be processed. If the messages fail to process, they must be retained so that they do not impact the processing of any remaining messages.
Which solution meets these requirements and is the MOST operationally efficient?

  • A. Integrate the sender and processor applications with an Amazon Simple Queue Service (Amazon SQS) queue. Configure a dead-letter queue to collect the messages that failed to process.
  • B. Set up an Amazon EC2 instance running a Redis database. Configure both applications to use the instance. Store, process, and delete the messages, respectively.
  • C. Use an Amazon Kinesis data stream to receive the messages from the sender application. Integrate the processing application with the Kinesis Client Library (KCL).
  • D. Subscribe the processing application to an Amazon Simple Notification Service (Amazon SNS) topic to receive notifications to process. Integrate the sender application to write to the SNS topic.

Answer: A

Explanation:
https://aws.amazon.com/blogs/compute/building-loosely-coupled-scalable-c-applications-with-amazon-sqs-and-a
https://docs.aws.amazon.com/AWSSimpleQueueService/latest/SQSDeveloperGuide/sqs-dead-letter-queues.html


NEW QUESTION # 297
An image-hosting company stores its objects in Amazon S3 buckets. The company wants to avoid accidental exposure of the objects in the S3 buckets to the public. All S3 objects in the entire AWS account need to remain private Which solution will meal these requirements?

  • A. Use AWS Trusted Advisor to find publicly accessible S3 Dockets Configure email notifications In Trusted Advisor when a change is detected manually change the S3 bucket policy if it allows public access
  • B. Use the S3 Block Public Access feature on the account level. Use AWS Organizations to create a service control policy (SCP) that prevents IAM users from changing the setting Apply tie SCP to tie account
  • C. Use Amazon GuardDuty to monitor S3 bucket policies Create an automatic remediation action rule that uses an AWS Lambda function to remediate any change that makes the objects public
  • D. Use AWS Resource Access Manager to find publicly accessible S3 buckets Use Amazon Simple Notification Service (Amazon SNS) to invoke an AWS Lambda function when a change it detected.
    Deploy a Lambda function that programmatically remediates the change.

Answer: B

Explanation:
The S3 Block Public Access feature allows you to restrict public access to S3 buckets and objects within the account. You can enable this feature at the account level to prevent any S3 bucket from being made public, regardless of the bucket policy settings. AWS Organizations can be used to apply a Service Control Policy (SCP) to the account to prevent IAM users from changing this setting, ensuring that all S3 objects remain private. This is a straightforward and effective solution that requires minimal operational overhead.


NEW QUESTION # 298
A company is using an Application Load Balancer (ALB) to present its application to the internet. The company finds abnormal traffic access patterns across the application. A solutions architect needs to improve visibility into the infrastructure to help the company understand these abnormalities better.
What is the MOST operationally efficient solution that meets these requirements?

  • A. Enable ALB access logging to Amazon S3. Create a table in Amazon Athena, and query the logs.
  • B. Create a table in Amazon Athena for AWS CloudTrail logs. Create a query for the relevant information.
  • C. Use Amazon EMR on a dedicated Amazon EC2 instance to directly query the ALB to acquire traffic access log information.
  • D. Enable ALB access logging to Amazon S3 Open each file in a text editor, and search each line for the relevant information

Answer: A

Explanation:
This solution meets the requirements because it allows the company to improve visibility into the infrastructure by using ALB access logging and Amazon Athena. ALB access logging is afeature that captures detailed information about requests sent to the load balancer, such as the client's IP address, request path, response code, and latency. By enabling ALB access logging to Amazon S3, the company can store the access logs in an S3 bucket as compressed files. Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. By creating a table in Amazon Athena for the access logs, the company can query the logs and get results in seconds. This way, the company can better understand the abnormal traffic access patterns across the application.
References:
Access logs for your Application Load Balancer
Querying Application Load Balancer Logs


NEW QUESTION # 299
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