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SAP-C02 Exam Dumps - AWS Certified Solutions Architect - Professional

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Question # 4

A company is hosting an image-processing service on AWS in a VPC. The VPC extends across two Availability Zones. Each Availability Zone contains one public subnet and one private subnet.

The service runs on Amazon EC2 instances in the private subnets. An Application Load Balancer in the public subnets is in front of the service. The service needs to communicate with the internet and does so through two NAT gateways. The service uses Amazon S3 for image storage. The EC2 instances retrieve approximately 1׀¢׀’ of data from an S3 bucket each day.

The company has promoted the service as highly secure. A solutions architect must reduce cloud expenditures as much as possible without compromising the service's security posture or increasing the time spent on ongoing operations.

Which solution will meet these requirements?

A.

Replace the NAT gateways with NAT instances. In the VPC route table, create a route from the private subnets to the NAT instances.

B.

Move the EC2 instances to the public subnets. Remove the NAT gateways.

C.

Set up an S3 gateway VPC endpoint in the VPC. Attach an endpoint policy to the endpoint to allow the required actions on the S3 bucket.

D.

Attach an Amazon Elastic File System (Amazon EFS) volume to the EC2 instances. Host the image on the EFS volume.

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Question # 5

A company is using AWS CloudFormation as its deployment tool for all applications. It stages all application binaries and templates within Amazon S3 buckets with versioning enabled. Developers use an Amazon EC2 instance with IDE access to modify and test applications. The developers want to implement CI/CD with AWS CodePipeline with the following requirements:

Use AWS CodeCommit for source control.

Automate unit testing and security scanning.

Alert developers when unit tests fail.

Toggle application features and allow lead developer approval before deployment.

Which solution will meet these requirements?

A.

Use AWS CodeBuild for testing and scanning. Use EventBridge and SNS for alerts. Use AWS CDK with a manifest to toggle features. Use a manual approval stage.

B.

Use Lambda for testing and alerts. Use AWS Amplify plugins for feature toggles. Use SES for manual approval.

C.

Use Jenkins and SES for alerts. Use nested CloudFormation stacks for features. Use Lambda for approvals.

D.

Use CodeDeploy for testing and scanning. Use CloudWatch alarms and SNS. Use Docker images for features and AWS CLI for toggles.

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Question # 6

A company is running an application on Amazon EC2 instances in the AWS Cloud. The application is using a MongoDB database with a replica set as its data tier. The MongoDB database is installed on systems in the company's on-premises data center and is accessible through an AWS Direct Connect connection to the data center environment.

A solutions architect must migrate the on-premises MongoDB database to Amazon DocumentDB (with MongoDB compatibility).

Which strategy should the solutions architect choose to perform this migration?

A.

Create a fleet of EC2 instances. Install MongoDB Community Edition on the EC2 instances, and create a database. Configure continuous synchronous replication with the database that is running in the on-premises data center.

B.

Create an AWS Database Migration Service (AWS DMS) replication instance. Create a source endpoint for the on-premises MongoDB database by using change data capture (CDC). Create a target endpoint for the Amazon DocumentDB database. Create and run a DMS migration task.

C.

Create a data migration pipeline by using AWS Data Pipeline. Define data nodes for the on-premises MongoDB database and the Amazon DocumentDB database. Create a scheduled task to run the data pipeline.

D.

Create a source endpoint for the on-premises MongoDB database by using AWS Glue crawlers. Configure continuous asynchronous replication between the MongoDB database and the Amazon DocumentDB database.

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Question # 7

A video processing company wants to build a machine learning (ML) model by using 600 TB of compressed data that is stored as thousands of files in the company's on-premises network attached storage system. The company does not have the necessary compute resources on premises for ML experiments and wants to use AWS.

The company needs to complete the data transfer to AWS within 3 weeks. The data transfer will be a one-time transfer. The data must be encrypted in transit. The measured upload speed of the company's internet connection is 100 Mbps, and multiple departments share the connection.

Which solution will meet these requirements MOST cost-effectively?

A.

Order several AWS Snowball Edge Storage Optimized devices by using the AWS ManagementConsole. Configure the devices with a destination S3 bucket. Copy the data to the devices. Ship the devices back to AWS.

B.

Set up a 10 Gbps AWS Direct Connect connection between the company location and the nearest AWS Region. Transfer the data over a VPN connection into the Region to store the data in Amazon S3.

C.

Create a VPN connection between the on-premises network storage and the nearest AWS Region. Transfer the data over the VPN connection.

D.

Deploy an AWS Storage Gateway file gateway on premises. Configure the file gateway with a destination S3 bucket. Copy the data to the file gateway.

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Question # 8

A company is migrating a legacy application from an on-premises data center to AWS. The application uses MongoDB as a key-value database According to the company's technical guidelines, all Amazon EC2 instances must be hosted in a private subnet without an internet connection. In addition, all connectivity between applications and databases must be encrypted. The database must be able to scale based on demand.

Which solution will meet these requirements?

A.

Create new Amazon DocumentDB (with MongoDB compatibility) tables for the application with Provisioned IOPS volumes. Use the instance endpoint to connect to Amazon DocumentDB.

B.

Create new Amazon DynamoDB tables for the application with on-demand capacity. Use a gateway VPC endpoint for DynamoDB to connect to the DynamoDB tables

C.

Create new Amazon DynamoDB tables for the application with on-demand capacity. Use an interface VPC endpoint for DynamoDB to connect to the DynamoDB tables.

D.

Create new Amazon DocumentDB (with MongoDB compatibility) tables for the application with Provisioned IOPS volumes Use the cluster endpoint to connect to Amazon DocumentDB

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