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[General] Trustworthy SAA-C03 Exam Content, SAA-C03 New Dumps

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【General】 Trustworthy SAA-C03 Exam Content, SAA-C03 New Dumps

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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q357-Q362):NEW QUESTION # 357
The customers of a finance company request appointments with financial advisors by sending text messages.
A web application that runs on Amazon EC2 instances accepts the appointment requests. The text messages are published to an Amazon Simple Queue Service (Amazon SQS) queue through the web application.
Another application that runs on EC2 instances then sends meeting invitations and meeting confirmation email messages to the customers. After successful scheduling, this application stores the meeting information in an Amazon DynamoDB database.
As the company expands, customers report that their meeting invitations are taking longer to arrive.
What should a solutions architect recommend to resolve this issue?
  • A. Add an Auto Scaling group for the application that sends meeting invitations. Configure the Auto Scaling group to scale based on the depth of the SQS queue.
  • B. Add a DynamoDB Accelerator (DAX) cluster in front of the DynamoDB database.
  • C. Add an Amazon CloudFront distribution. Set the origin as the web application that accepts the appointment requests.
  • D. Add an Amazon API Gateway API in front of the web application that accepts the appointment requests.
Answer: A
Explanation:
For SQS-backed worker architectures, AWS recommends scaling consumers based on queue metrics (e.g., ApproximateNumberOfMessagesVisible, AgeOfOldestMessage). EC2 Auto Scaling can "scale out based on Amazon CloudWatch alarms" tied to SQS backlog, increasing worker capacity to reduce latency as demand grows. DAX (A) accelerates DynamoDB reads, not message processing. API Gateway (B) and CloudFront (C) optimize request ingress and content delivery, not the asynchronous email-sending application. The bottleneck is consumer throughput; scaling workers with an SQS-driven policy restores timely processing without downtime and follows Well-Architected patterns for decoupled, elastic systems.
References: Amazon SQS Developer Guide - "Scaling consumers," "Queue metrics"; EC2 Auto Scaling -
"Target tracking and step scaling with CloudWatch metrics"; Well-Architected - Performance Efficiency (queue-based load leveling).

NEW QUESTION # 358
A company has applications that run on Amazon EC2 instances in a VPC. One of the applications needs to call the Amazon S3 API to store and read objects. According to the company's security regulations, no traffic from the applications is allowed to travel across the internet.
Which solution will meet these requirements?
  • A. Create an S3 bucket in a private subnet.
  • B. Configure an S3 gateway endpoint.
  • C. Configure an S3 interface endpoint.
  • D. Create an S3 bucket in the same Region as the EC2 instance.
Answer: C
Explanation:
https://docs.aws.amazon.com/Amaz ... pc-endpoints-for-s3

NEW QUESTION # 359
[Design High-Performing Architectures]
A company is planning to store data on Amazon RDS DB instances. The company must encrypt the data at rest.
What should a solutions architect do to meet this requirement?
  • A. Generate a certificate in AWS Identity and Access Management {IAM) Enable SSUTLS on the DB instances by using the certificate
  • B. Create a customer master key (CMK) in AWS Key Management Service (AWS KMS) Enable encryption for the DB instances
  • C. Create an encryption key and store the key in AWS Secrets Manager Use the key to encrypt the DB instances
  • D. Generate a certificate in AWS Certificate Manager (ACM).Enable SSL/TLS on the DB instances by using the certificate
Answer: C
Explanation:
To encrypt data at rest in Amazon RDS, you can use the encryption feature of Amazon RDS, which uses AWS Key Management Service (AWS KMS). With this feature, Amazon RDS encrypts each database instance with a unique key. This key is stored securely by AWS KMS. You can manage your own keys or use the default AWS-managed keys. When you enable encryption for a DB instance, Amazon RDS encrypts the underlying storage, including the automated backups, read replicas, and snapshots.

NEW QUESTION # 360
A company is using a centralized AWS account to store log data in various Amazon S3 buckets. A solutions architect needs to ensure that the data is encrypted at rest before the data is uploaded to the S3 buckets. The data also must be encrypted in transit.
Which solution meets these requirements?
  • A. Use client-side encryption to encrypt the data that is being uploaded to the S3 buckets.
  • B. Use server-side encryption to encrypt the data that is being uploaded to the S3 buckets.
  • C. Enable the security option to encrypt the S3 buckets through the use of a default AWS Key Management Service (AWS KMS) key.
  • D. Create bucket policies that require the use of server-side encryption with S3 managed encryption keys (SSE-S3) for S3 uploads.
Answer: A

NEW QUESTION # 361
A company hosts a data lake on AWS. The data lake consists of data in Amazon S3 and Amazon RDS for PostgreSQL. The company needs a reporting solution that provides data visualization and includes all the data sources within the data lake. Only the company's management team should have full access to all the visualizations. The rest of the company should have only limited access.
Which solution will meet these requirements?
  • A. Create an AWS Glue table and crawler for the data in Amazon S3. Create an AWS Glue extract, transform, and load (ETL) job to produce reports. Publish the reports to Amazon S3. Use S3 bucket policies to limit access to the reports.
  • B. Create an analysis in Amazon QuickSight. Connect all the data sources and create new datasets. Publish dashboards to visualize the data. Share the dashboards with the appropriate IAM roles.
  • C. Create an AWS Glue table and crawler for the data in Amazon S3. Use Amazon Athena Federated Query to access data within Amazon RDS for PoslgreSQL. Generate reports by using Amazon Athena.
    Publish the reports to Amazon S3. Use S3 bucket policies to limit access to the reports.
  • D. Create an analysis in Amazon OuickSighl. Connect all the data sources and create new datasets. Publish dashboards to visualize the data. Share the dashboards with the appropriate users and groups.
Answer: B

NEW QUESTION # 362
......
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