A company's cloud operations team wants to standardize resource remediation. The company wants to provide a standard set of governance evaluations and remediation's to all member accounts in its organization in AWS Organizations.
Which self-managed AWS service can the company use to meet these requirements with the LEAST amount of operational effort?

• A.AWS CloudTrail
• B.AWS Security Hub compliance standards
• C.AWS Trusted Advisor
• D.AWS Config conformance packs

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A client of yours has a huge amount of data stored on Amazon S3, but is concerned about someone stealing it while it is in transit. You know that all data is encrypted in transit on AWS, but which of the following is wrong when describing server-side encryption on AWS?

• A.Amazon S3 server-side encryption employs strong multi-factor encryption.
• B.Amazon S3 server-side encryption uses one of the strongest block ciphers available, 256-bit Advanced
  Encryption Standard (AES-256), to encrypt your data.
• C.In server-side encryption, you manage encryption/decryption of your data, the encryption keys, and related tools.
• D.Server-side encryption is about data encryption at rest-that is, Amazon S3 encrypts your data as it writes it to disks.

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During performance testing of an application, the Amazon RDS database caused a performance bottleneck.
What steps can be taken to improve the database performance? (Choose two.)

• A.Change the RDS database instance to multiple Availability Zones.
• B.Scale up to a larger RDS instance type.
• C.Redirect read queries to RDS read replicas.
• D.Scale out using an Auto Scaling group for RDS.
• E.Use RDS in a separate AWS Region.

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A company receives structured and semi-structured data from various sources once every day A solutions architect needs to design a solution that leverages big data processing frameworks. The data should be accessible using SQL queries and business intelligence tools What should the solutions architect recommend to build the MOST high-performing solution?

• A.Use Amazon EMR to process data and Amazon Redshift to store data
• B.Use Amazon Kinesis Data Analytics to process data and Amazon Elastic File System (Amazon EFS) to store data
• C.Use AWS Glue to process data and Amazon S3 to store data
• D.Use Amazon EC2 to process data and Amazon Elastic Block Store (Amazon EBS) to store data

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A company sells datasets to customers who do research in artificial intelligence and machine learning (Al/ML) The datasets are large, formatted files that are stored in an Amazon S3 bucket in the us-east-1 Region The company hosts a web application that the customers use to purchase access to a given dataset The web application is deployed on multiple Amazon EC2 instances behind an Application Load Balancer After a purchase is made customers receive an S3 signed URL that allows access to the files.
The customers are distributed across North America and Europe The company wants to reduce the cost that is associated with data transfers and wants to maintain or improve performance.
What should a solutions architect do to meet these requirements?

• A.Configure S3 Transfer Acceleration on the existing S3 bucket Direct customer requests to the S3 Transfer Acceleration endpoint Continue to use S3 signed URLs for access control
• B.Deploy an Amazon CloudFront distribution with the existing S3 bucket as the origin Direct customer requests to the CloudFront URL Switch to CloudFront signed URLs for access control
• C.Set up a second S3 bucket in the eu-central-1 Region with S3 Cross-Region Replication between the buckets Direct customer requests to the closest Region Continue to use S3 signed URLs for access control
• D.Modify the web application to enable streaming of the datasets to end users. Configure the web application to read the data from the existing S3 bucket Implement access control directly in the application

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