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Free SAA-C03 Exam Braindumps (page: 80)

Page 80 of 247
PDF with 981 Questions

A company uses a legacy application to produce data in CSV format. The legacy application stores the output data in Amazon S3. The company is deploying a new commercial off-the-shelf (COTS) application that can perform complex SQL queries to analyze data that is stored in Amazon Redshift and Amazon S3 only. However, the COTS application cannot process the .csv files that the legacy application produces.

The company cannot update the legacy application to produce data in another format. The company needs to implement a solution so that the COTS application can use the data that the legacy application produces.

Which solution will meet these requirements with the LEAST operational overhead?

  1. Create an AWS Glue extract, transform, and load (ETL) job that runs on a schedule. Configure the ETL job to process the .csv files and store the processed data in Amazon Redshift.
  2. Develop a Python script that runs on Amazon EC2 instances to convert the .csv files to .sql files. Invoke the Python script on a cron schedule to store the output files in Amazon S3.
  3. Create an AWS Lambda function and an Amazon DynamoDB table. Use an S3 event to invoke the Lambda function. Configure the Lambda function to perform an extract, transform, and load (ETL) job to process the .csv files and store the processed data in the DynamoDB table.
  4. Use Amazon EventBridge to launch an Amazon EMR cluster on a weekly schedule. Configure the EMR cluster to perform an extract, transform, and load (ETL) job to process the .csv files and store the processed data in an Amazon Redshift table.

Answer(s): A



A company recently migrated its entire IT environment to the AWS Cloud. The company discovers that users are provisioning oversized Amazon EC2 instances and modifying security group rules without using the appropriate change control process. A solutions architect must devise a strategy to track and audit these inventory and configuration changes.

Which actions should the solutions architect take to meet these requirements? (Choose two.)

  1. Enable AWS CloudTrail and use it for auditing.
  2. Use data lifecycle policies for the Amazon EC2 instances.
  3. Enable AWS Trusted Advisor and reference the security dashboard.
  4. Enable AWS Config and create rules for auditing and compliance purposes.
  5. Restore previous resource configurations with an AWS CloudFormation template.

Answer(s): A,D



A company has hundreds of Amazon EC2 Linux-based instances in the AWS Cloud. Systems administrators have used shared SSH keys to manage the instances. After a recent audit, the company’s security team is mandating the removal of all shared keys. A solutions architect must design a solution that provides secure access to the EC2 instances.

Which solution will meet this requirement with the LEAST amount of administrative overhead?

  1. Use AWS Systems Manager Session Manager to connect to the EC2 instances.
  2. Use AWS Security Token Service (AWS STS) to generate one-time SSH keys on demand.
  3. Allow shared SSH access to a set of bastion instances. Configure all other instances to allow only SSH access from the bastion instances.
  4. Use an Amazon Cognito custom authorizer to authenticate users. Invoke an AWS Lambda function to generate a temporary SSH key.

Answer(s): A

Explanation:

AWS Systems Manager Session Manager provides secure and auditable instance management without the need for any inbound connections or open ports. It allows you to manage your instances through an interactive one-click browser-based shell or through the AWS CLI. This means that you don't have to manage any SSH keys, and you don't have to worry about securing access to your instances as access is controlled through IAM policies.


Reference:

https://docs.aws.amazon.com/systems-manager/latest/userguide/session-manager.html



A company is using a fleet of Amazon EC2 instances to ingest data from on-premises data sources. The data is in JSON format and ingestion rates can be as high as 1 MB/s. When an EC2 instance is rebooted, the data in-flight is lost. The company’s data science team wants to query ingested data in near-real time.

Which solution provides near-real-time data querying that is scalable with minimal data loss?

  1. Publish data to Amazon Kinesis Data Streams. Use Kinesis Data Analytics to query the data.
  2. Publish data to Amazon Kinesis Data Firehose with Amazon Redshift as the destination. Use Amazon Redshift to query the data.
  3. Store ingested data in an EC2 instance store. Publish data to Amazon Kinesis Data Firehose with Amazon S3 as the destination. Use Amazon Athena to query the data.
  4. Store ingested data in an Amazon Elastic Block Store (Amazon EBS) volume. Publish data to Amazon ElastiCache for Redis. Subscribe to the Redis channel to query the data.

Answer(s): A



Page 80 of 247



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