A company is developing a new application that uses a relational database to store user data and application configurations. The company expects the application to have steady user growth. The company expects the database usage to be
variable and read-heavy, with occasional writes.
The company wants to cost-optimize the database solution. The company wants to use an AWS managed database solution that will provide the necessary performance.
Which solution will meet these requirements MOST cost-effectively?
A. Deploy the database on Amazon RDS. Use Provisioned IOPS SSD storage to ensure consistent performance for read and write operations.
B. Deploy the database on Amazon Aurora Serverless to automatically scale the database capacity based on actual usage to accommodate the workload.
C. Deploy the database on Amazon DynamoDB. Use on-demand capacity mode to automatically scale throughput to accommodate the workload.
D. Deploy the database on Amazon RDS. Use magnetic storage and use read replicas to accommodate the workload.
A company is migrating its on-premises Oracle database to an Amazon RDS for Oracle database. The company needs to retain data for 90 days to meet regulatory requirements. The company must also be able to restore the database to a specific point in time for up to 14 days.
Which solution will meet these requirements with the LEAST operational overhead?
A. Create Amazon RDS automated backups. Set the retention period to 90 days.
B. Create an Amazon RDS manual snapshot every day. Delete manual snapshots that are older than 90 days.
C. Use the Amazon Aurora Clone feature for Oracle to create a point-in-time restore. Delete clones that are older than 90 days.
D. Create a backup plan that has a retention period of 90 days by using AWS Backup for Amazon RDS.
A financial services company plans to launch a new application on AWS to handle sensitive financial transactions. The company will deploy the application on Amazon EC2 instances. The company will use Amazon RDS for MySQL as the database. The company's security policies mandate that data must be encrypted at rest and in transit.
Which solution will meet these requirements with the LEAST operational overhead?
A. Configure encryption at rest for Amazon RDS for MySQL by using AWS KMS managed keys. Configure AWS Certificate Manager (ACM) SSL/TLS certificates for encryption in transit.
B. Configure encryption at rest for Amazon RDS for MySQL by using AWS KMS managed keys. Configure IPsec tunnels for encryption in transit.
C. Implement third-party application-level data encryption before storing data in Amazon RDS for MySQL. Configure AWS Certificate Manager (ACM) SSL/TLS certificates for encryption in transit.
D. Configure encryption at rest for Amazon RDS for MySQL by using AWS KMS managed keys. Configure a VPN connection to enable private connectivity to encrypt data in transit.
A company is implementing a new application on AWS. The company will run the application on multiple Amazon EC2 instances across multiple Availability Zones within multiple AWS Regions. The application will be available through the
internet. Users will access the application from around the world.
The company wants to ensure that each user who accesses the application is sent to the EC2 instances that are closest to the user's location.
Which solution will meet these requirements?
A. Implement an Amazon Route 53 geolocation routing policy. Use an internet-facing Application Load Balancer to distribute the traffic across all Availability Zones within the same Region.
B. Implement an Amazon Route 53 geoproximity routing policy. Use an internet-facing Network Load Balancer to distribute the traffic across all Availability Zones within the same Region.
C. Implement an Amazon Route 53 multivalue answer routing policy. Use an internet-facing Application Load Balancer to distribute the traffic across all Availability Zones within the same Region.
D. Implement an Amazon Route 53 weighted routing policy. Use an internet-facing Network Load Balancer to distribute the traffic across all Availability Zones within the same Region.
A weather forecasting company collects temperature readings from various sensors on a continuous basis. An existing data ingestion process collects the readings and aggregates the readings into larger Apache Parquet files. Then the
process encrypts the files by using client-side encryption with KMS managed keys (CSE-KMS). Finally, the process writes the files to an Amazon S3 bucket with separate prefixes for each calendar day.
The company wants to run occasional SQL queries on the data to take sample moving averages for a specific calendar day.
Which solution will meet these requirements MOST cost-effectively?
A. Configure Amazon Athena to read the encrypted files. Run SQL queries on the data directly in Amazon S3.
B. Use Amazon S3 Select to run SQL queries on the data directly in Amazon S3.
C. Configure Amazon Redshift to read the encrypted files. Use Redshift Spectrum and Redshift query editor v2 to run SQL queries on the data directly in Amazon S3.
D. Configure Amazon EMR Serverless to read the encrypted files. Use Apache SparkSQL to run SQL queries on the data directly in Amazon S3.
A company hosts an application on AWS. The application gives users the ability to upload photos and store the photos in an Amazon S3 bucket. The company wants to use Amazon CloudFront and a custom domain name to upload the photo
files to the S3 bucket in the eu-west-1 Region.
Which solution will meet these requirements? (Choose two.)
A. Use AWS Certificate Manager (ACM) to create a public certificate in the us-east-1 Region. Use the certificate in CloudFront.
B. Use AWS Certificate Manager (ACM) to create a public certificate in eu-west-1. Use the certificate in CloudFront.
C. Configure Amazon S3 to allow uploads from CloudFront. Configure S3 Transfer Acceleration.
D. Configure Amazon S3 to allow uploads from CloudFront origin access control (OAC).
E. Configure Amazon S3 to allow uploads from CloudFront. Configure an Amazon S3 website endpoint.
A company is designing a web application with an internet-facing Application Load Balancer (ALB).
The company needs the ALB to receive HTTPS web traffic from the public internet. The ALB must send only HTTPS traffic to the web application servers hosted on the Amazon EC2 instances on port 443. The ALB must perform a health
check of the web application servers over HTTPS on port 8443.
Which combination of configurations of the security group that is associated with the ALB will meet these requirements? (Choose three.)
A. Allow HTTPS inbound traffic from 0.0.0.0/0 for port 443.
B. Allow all outbound traffic to 0.0.0.0/0 for port 443.
C. Allow HTTPS outbound traffic to the web application instances for port 443.
D. Allow HTTPS inbound traffic from the web application instances for port 443.
E. Allow HTTPS outbound traffic to the web application instances for the health check on port 8443.
F. Allow HTTPS inbound traffic from the web application instances for the health check on port 8443.
A company currently runs an on-premises stock trading application by using Microsoft Windows Server. The company wants to migrate the application to the AWS Cloud.
The company needs to design a highly available solution that provides low-latency access to block storage across multiple Availability Zones.
Which solution will meet these requirements with the LEAST implementation effort?
A. Configure a Windows Server cluster that spans two Availability Zones on Amazon EC2 instances. Install the application on both cluster nodes. Use Amazon FSx for Windows File Server as shared storage between the two cluster nodes.
B. Configure a Windows Server cluster that spans two Availability Zones on Amazon EC2 instances. Install the application on both cluster nodes. Use Amazon Elastic Block Store (Amazon EBS) General Purpose SSD (gp3) volumes as storage attached to the EC2 instances. Set up application-level replication to sync data from one EBS volume in one Availability Zone to another EBS volume in the second Availability Zone.
C. Deploy the application on Amazon EC2 instances in two Availability Zones. Configure one EC2 instance as active and the second EC2 instance in standby mode. Use an Amazon FSx for NetApp ONTAP Multi-AZ file system to access the data by using Internet Small Computer Systems Interface (iSCSI) protocol.
D. Deploy the application on Amazon EC2 instances in two Availability Zones. Configure one EC2 instance as active and the second EC2 instance in standby mode. Use Amazon Elastic Block Store (Amazon EBS) Provisioned IOPS SSD (io2) volumes as storage attached to the EC2 instances. Set up Amazon EBS level replication to sync data from one io2 volume in one Availability Zone to another io2 volume in the second Availability Zone.
A company's marketing data is uploaded from multiple sources to an Amazon S3 bucket. A series of data preparation jobs aggregate the data for reporting. The data preparation jobs need to run at regular intervals in parallel. A few jobs need
to run in a specific order later.
The company wants to remove the operational overhead of job error handling, retry logic, and state management.
Which solution will meet these requirements?
A. Use an AWS Lambda function to process the data as soon as the data is uploaded to the S3 bucket. Invoke other Lambda functions at regularly scheduled intervals.
B. Use Amazon Athena to process the data. Use Amazon EventBridge Scheduler to invoke Athena on a regular internal.
C. Use AWS Glue DataBrew to process the data. Use an AWS Step Functions state machine to run the DataBrew data preparation jobs.
D. Use AWS Data Pipeline to process the data. Schedule Data Pipeline to process the data once at midnight.
A company maintains its accounting records in a custom application that runs on Amazon EC2 instances. The company needs to migrate the data to an AWS managed service for development and maintenance of the application data. The
solution must require minimal operational support and provide immutable, cryptographically verifiable logs of data changes.
Which solution will meet these requirements MOST cost-effectively?
A. Copy the records from the application into an Amazon Redshift cluster.
B. Copy the records from the application into an Amazon Neptune cluster.
C. Copy the records from the application into an Amazon Timestream database.
D. Copy the records from the application into an Amazon Quantum Ledger Database (Amazon QLDB) ledger.
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