Pearson SAP-C02 New Attempt

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Question 68

A company hosts a VPN in an on-premises data center. Employees currently connect to the VPN to access files in their Windows home directories. Recently, there has been a large growth in the number of employees who work remotely. As a result, bandwidth usage for connections into the data center has begun to reach 100% during business hours.

The company must design a solution on AWS that will support the growth of the company's remote workforce, reduce the bandwidth usage for connections into the data center, and reduce operational overhead.

Which combination of steps will meet these requirements with the LEAST operational overhead? (Select TWO.)

Options:

Create an AWS Storage Gateway Volume Gateway. Mount a volume from the Volume Gateway to the on-premises file server.

Migrate the home directories to Amazon FSx for Windows File Server.

Migrate the home directories to Amazon FSx for Lustre.

Migrate remote users to AWS Client VPN

Create an AWS Direct Connect connection from the on-premises data center to AWS.

Question 69

A company is running an application in the AWS Cloud. The application uses AWS Lambda functions and Amazon Elastic Container Service (Amazon ECS) containers that run with AWS Fargate technology as its primary compute. The load on the application is irregular. The application experiences long periods of no usage, followed by sudden and significant increases and decreases in traffic. The application is write-heavy and stores data in an Amazon Aurora MySQL database. The database runs on an Amazon RDS memory optimized DB instance that is not able to handle the load.

What is the MOST cost-effective way for the company to handle the sudden and significant changes in traffic?

Options:

Add additional read replicas to the database. Purchase Instance Savings Plans and RDS Reserved Instances.

Migrate the database to an Aurora multi-master DB cluster. Purchase Instance Savings Plans.

Migrate the database to an Aurora global database. Purchase Compute Savings Plans and RDS Reserved Instances.

Migrate the database to Aurora Serverless v1. Purchase Compute Savings Plans.

Question 70

A company maintains information on premises in approximately 1 million .csv files that are hosted on a VM. The data initially is 10 TB in size and grows at a rate of 1 TB each week. The company needs to automate backups of the data to the AWS Cloud.

Backups of the data must occur daily. The company needs a solution that applies custom filters to back up only a subset of the data that is located in designated source directories. The company has set up an AWS Direct Connect connection.

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

Options:

Use the Amazon S3 CopyObject API operation with multipart upload to copy the existing data to Amazon S3. Use the CopyObject API operation to replicate new data to Amazon S3 daily.

Create a backup plan in AWS Backup to back up the data to Amazon S3. Schedule the backup plan to run daily.

Install the AWS DataSync agent as a VM that runs on the on-premises hypervisor. Configure a DataSync task to replicate the data to Amazon S3 daily.

Use an AWS Snowball Edge device for the initial backup. Use AWS DataSync for incremental backups to Amazon S3 daily.

Answer:

Explanation:

AWS DataSync is an online data transfer service that is designed to help customers get their data to and from AWS quickly, easily, and securely. Using DataSync, you can copy data from your on-premises NFS or SMB shares directly to Amazon S3, Amazon EFS, or Amazon FSx for Windows File Server. DataSync uses a purpose-built, parallel transfer protocol for speeds up to 10x faster than open source tools. DataSync also has built-in verification of data both in flight and at rest, so you can be confident that your data was transferred successfully. DataSync allows you to apply filters to select which files or folders to transfer, based on file name, size, or modification time. You can also schedule your DataSync tasks to run daily, weekly, or monthly, or on demand. DataSync is integrated with AWS Direct Connect, so you can take advantage of your existing private connection to AWS. DataSync is also a fully managed service, so you do not need to provision, configure, or maintain any infrastructure for data transfer.

Option A is incorrect because the Amazon S3 CopyObject API operation does not support filtering or scheduling, and it would require you to write and maintain custom scripts to automate the backup process.

Option B is incorrect because AWS Backup does not support filtering or transferring data from on-premises sources to Amazon S3. AWS Backup is a fully managed backup service that makes it easy to centralize and automate the backup of data across AWS services.

Option D is incorrect because AWS Snowball Edge is a physical device that is used for offline data transfer when network bandwidth is limited or unavailable. It is not suitable for daily backups or incremental transfers. AWS Snowball Edge also does not support filtering or scheduling.

References:

1: Considering four different replication options for data in Amazon S3
2: Protect your file and backup archives using AWS DataSync and Amazon S3 Glacier
3: AWS DataSync FAQs

Question 71

A company wants to use AWS IAM Identity Center (AWS Single Sign-On) to manage employee access to AWS services. The company uses AWS Organizations to manage its AWS accounts.

Each employee has their own IAM user. Each IAM user is a member of at least one IAM group. Each IAM group has an attached policy that allows members to assume

specific roles across the accounts. The roles contain appropriate policies for the expected activities of each group of users in each account. All relevant accounts exist inside a single OU.

The company has already created new users and groups in IAM Identity Center to match the permissions that exist in IAM.

How should the company use IAM Identity Center to implement the existing permissions?

Options:

For each group, create policies in each account. Give the policies the same name in each account. Create a new permission set. Add the name of the new policies to the permission set. Assign user access to the AWS accounts in IAM Identity Center.

For each group, create a new permission set. Attach the relevant existing IAM roles in each account to the permission set. Create a new customer managed policy that allows the group to assume the roles. Assign user access to the AWS accounts in IAM Identity Center.

For each group, create a new permission set. Create policies in each account. Give each policy a unique name. Set the path of each policy to match the name of the permission set. Assign user access to the AWS accounts in IAM Identity Center.

Add the OU to the accounts configuration in IAM Identity Center. For each group, create policies in each account. Create a new permission set. Add the new policies to the permission set as customer managed policies. Attach each new policy to the correct account in the account configuration in IAM Identity Center.