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Amazon Web Services Updated SAA-C03 Exam Questions and Answers by teddy-james

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Amazon Web Services SAA-C03 Exam Overview :

Exam Name: AWS Certified Solutions Architect - Associate (SAA-C03)
Exam Code: SAA-C03 Dumps
Vendor: Amazon Web Services Certification: AWS Certified Associate
Questions: 1168 Q&A's Shared By: teddy-james
Question 148

A company is building a serverless application that processes large volumes of data from a mobile app. The application uses an AWS Lambda function to process the data and store the data in an Amazon DynamoDB table.

The company needs to ensure that the application can recover from failures and continue processing data without losing any records.

Which solution will meet these requirements?

Options:

A.

Configure the Lambda function to use a dead-letter queue with an Amazon Simple Queue Service (Amazon SQS) queue. Configure Lambda to retry failed records from the dead-letter queue. Use a retry mechanism by implementing an exponential backoff algorithm.

B.

Configure the Lambda function to read records from Amazon Data Firehose. Replay the Firehose records in case of any failures.

C.

Use Amazon OpenSearch Service to store failed records. Configure AWS Lambda to retry failed records from OpenSearch Service. Use Amazon EventBridge to orchestrate the retry logic.

D.

Use Amazon Simple Notification Service (Amazon SNS) to store the failed records. Configure Lambda to retry failed records from the SNS topic. Use Amazon API Gateway to orchestrate the retry calls.

Discussion
Question 149

A company runs a critical public application on Amazon Elastic Kubernetes Service (Amazon EKS) clusters. The application has a microservices architecture. The company needs to implement a solution that collects, aggregates, and summarizes metrics and logs from the application in a centralized location.

Which solution will meet these requirements in the MOST operationally efficient way?

Options:

A.

Run the Amazon CloudWatch agent in the existing EKS cluster. Use a CloudWatch dashboard to view the metrics and logs.

B.

Configure a data stream in Amazon Kinesis Data Streams. Use Amazon Kinesis Data Firehose to read events and to deliver the events to an Amazon S3 bucket. Use Amazon Athena to view the events.

C.

Configure AWS CloudTrail to capture data events. Use Amazon OpenSearch Service to query CloudTrail.

D.

Configure Amazon CloudWatch Container Insights in the existing EKS cluster. Use a CloudWatch dashboard to view the metrics and logs.

Discussion
Question 150

A company stores data in Amazon S3. According to regulations, the data must not contain personally identifiable information (PII). The company recently discovered that S3 buckets have some objects that contain PII. The company needs to automatically detect PII in S3 buckets and to notify the company's security team. Which solution will meet these requirements?

Options:

A.

Use Amazon Macie. Create an Amazon EventBridge rule to filter the SensitiveData event type from Macie findings and to send an Amazon Simple Notification Service (Amazon SNS) notification to the security team.

B.

Use Amazon GuardDuty. Create an Amazon EventBridge rule to filter the CRITICAL event type from GuardDuty findings and to send an Amazon Simple Notification Service (Amazon SNS) notification to the security team.

C.

Use Amazon Macie. Create an Amazon EventBridge rule to filter the SensitiveData:S3Object/Personal event type from Macie findings and to send an Amazon Simple Queue Service (Amazon SQS) notification to the security team.

D.

Use Amazon GuardDuty. Create an Amazon EventBridge rule to filter the CRITICAL event type from GuardDuty findings and to send an Amazon Simple Queue Service (Amazon SQS) notification to the security team.

Discussion
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Question 151

A company is deploying a critical application by using Amazon RDS for MySQL. The application must be highly available and must recover automatically. The company needs to support interactive users (transactional queries) and batch reporting (analytical queries) with no more than a 4-hour lag. The analytical queries must not affect the performance of the transactional queries.

Options:

A.

Configure Amazon RDS for MySQL in a Multi-AZ DB instance deployment with one standby instance. Point the transactional queries to the primary DB instance. Point the analytical queries to a secondary DB instance that runs in a different Availability Zone.

B.

Configure Amazon RDS for MySQL in a Multi-AZ DB cluster deployment with two standby instances. Point the transactional queries to the primary DB instance. Point the analytical queries to the reader endpoint.

C.

Configure Amazon RDS for MySQL to use multiple read replicas across multiple Availability Zones. Point the transactional queries to the primary DB instance. Point the analytical queries to one of the replicas in a different Availability Zone.

D.

Configure Amazon RDS for MySQL as the primary database for the transactional queries with automated backups enabled. Configure automated backups. Each night, create a read-only database from the most recent snapshot to support the analytical queries. Terminate the previously created database.

Discussion
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