Pass the Amazon Web Services AWS Certified Professional SAP-C02 Questions and answers with ExamsMirror

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.

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

A is the correct answer because it uses AWS Directory Service for Microsoft Active Directory to join the Windows EC2 instances to an Active Directory domain on AWS and enable MFA. AWS Directory Service for Microsoft Active Directory, also known as AWS Managed Microsoft AD, is a fully managed service that is powered by Windows Server 2019. It allows you to run directory-aware workloads in the AWS Cloud, including Microsoft SharePoint and custom .NET and SQL Server-based applications. You can also configure a trust relationship between AWS Managed Microsoft AD in the AWS Cloud and your existing on-premises Microsoft Active Directory. AWS Managed Microsoft AD supports MFA by integrating with your existing RADIUS-based MFA infrastructure. To join the Windows EC2 instances to an Active Directory domain on AWS, you can use an Amazon Workspace, which is a fully managed, secure desktop computing service that runs on AWS. You can connect to and use the Workspace for domain security configuration tasks. References:

https://docs.aws.amazon.com/directoryservice/latest/admin-guide/directory_microsoft_ad.html

https://docs.aws.amazon.com/directoryservice/latest/admin-guide/ms_ad_join_instance.html

https://docs.aws.amazon.com/workspaces/latest/adminguide/amazon-workspaces.html

To set up a STARTTLS connection, the SMTP client connects to the Amazon SES SMTP endpoint on port 25, 587, or 2587, issues an EHLO command, and waits for the server toannounce that it supports the STARTTLS SMTP extension. The client then issues the STARTTLS command, initiating TLS negotiation. When negotiation is complete, the client issues an EHLO command over the new encrypted connection, and the SMTP session proceeds normally To set up a TLS Wrapper connection, the SMTP client connects to the Amazon SES SMTP endpoint on port 465 or 2465. The server presents its certificate, the client issues an EHLO command, and the SMTP session proceeds normally.

https://docs.aws.amazon.com/ses/latest/dg/smtp-connect.html

https://docs.aws.amazon.com/AmazonS3/latest/userguide/MultiRegionAccessPointRequestRouting.htmlhttps://stackoverflow.com/questions/60947157/aws-s3-replication-without- versioning#:~:text=The%20automated%20Same%20Region%20Replication,is%20replicated%20between%20S3%20buckets.

Amazon Elastic Container Service (ECS) on AWS Fargate is a fully managed service that allows you to run containers without having to manage the underlying infrastructure. When you launch tasks on Fargate, resources are automatically allocated based on the number of tasks running, which reduces the operational overhead.

Using ECS on Fargate allows you to assign custom tags to tasks using the --tags option in the run-task command, as described in the documentation:https://docs.aws.amazon.com/cli/latest/reference/ecs/run-task.htmlYou can also set enableECSManagedTags to true, which allows the service to automatically add the cluster name and service name as tags.https://docs.aws.amazon.com/AmazonECS/latest/developerguide/task-placement-constraints.html#tag-based-scheduling

Amazon S3 Intelligent-Tiering is a storage class that automatically moves objects between two access tiers based on changing access patterns. Objects that are accessed frequently are stored in the frequent access tier and objects that are accessed infrequently are stored in the infrequent access tier. This allows for cost optimization without requiring manual intervention. This makes it an ideal solution for the scenario described, as it can automatically move objects that are infrequently accessed after 30 days to a lower-cost storage tier while still maintaining millisecond retrieval availability.

To attribute AWS costs to specific applications or teams and enable detailed cost analysis and forecasting, the solution architect should recommend the following actions: A. Activating user-defined cost allocation tags for resources associated with each application and team allows for detailed tracking of costs by these identifiers. C. Creating a cost category for each application within AWS Billing and Cost Management enables the organization to group costs according to application, facilitating detailed reporting and analysis. F. Enabling Cost Explorer is essential for analyzing and visualizing AWS spending over time. It provides the capability to view historical costs and forecast future expenses, supporting the company's requirement for cost comparison and forecasting.

AWS Billing and Cost Management Documentation: Covers the activation of cost allocation tags, creation of cost categories, and the use of Cost Explorer for cost management.

AWS Tagging Strategies: Provides best practices for implementing tagging strategies that support cost allocation and reporting.

AWS Cost Explorer Documentation: Details how to use Cost Explorer to analyze and forecast AWS costs.

https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/placement-groups.html#placement- groups-cluster

The correct answer is B.

B. This solution meets the requirements because it uses AWS Cost Anomaly Detection, which is a feature of AWS Cost Management that uses machine learning to identify and alert on anomalous spend and usage patterns. By configuring a monitor type of AWS Service and applying a filter of Amazon EC2, the solution can track the EC2 usage as a metric across the organization’s accounts.By configuring an alert subscription with a threshold of 10%, the solution can notify the architecture team via email or AmazonSNS if the EC2 usage is more than 10% higher than the average usage for the last 30 days12

A. This solution is incorrect because it uses AWS Budgets, which is a feature of AWS Cost Management that helps to plan and track costs and usage. However, AWS Budgets does not support usage type of EC2 running hours as a budget type. The only supported usage types are Amazon S3 storage, Amazon EC2 RI utilization, and Amazon EC2 RI coverage. Moreover, AWS Budgets does not support setting the budget amount based on the reported average usage from AWS Cost Explorer.The budget amount has to be a fixed or variable value34

C. This solution is incorrect because it uses AWS Trusted Advisor, which is a feature of AWS Premium Support that provides recommendations to follow best practices for cost optimization, security, performance, and fault tolerance. However, AWS Trusted Advisor does not support configuring custom alerts based on EC2 usage or average usage for the last 30 days.The only supported alerts are based on predefined checks and thresholds that are applied to all services and resources in the account56

D. This solution is incorrect because it uses Amazon Detective, which is a service that helps to analyze and visualize security data to investigate potential security issues. However, Amazon Detective does not support configuring EC2 usage anomaly alerts basedon average usage for the last 30 days.The only supported alerts are based on GuardDuty findings and other security-related events that are detected by machine learning models78

Amazon EC2 Spot Instances offer spare compute capacity at steep discounts compared to On-Demand prices. Spot Instances can be interrupted by EC2 with two minutes of notification when EC2 needs the capacity back. Amazon EMR can handle Spot interruptions gracefully by decommissioning the nodes and redistributing the tasks to other nodes. By launching all nodes on Spot Instances in an instance fleet, the solutions architect can minimize the compute costs of the EMR cluster. An instance fleet is a collection of EC2 instances with different types and sizes that EMR automatically provisions to meet a defined target capacity. By terminating the cluster when the processing is completed, the solutions architect can avoid paying for idle resources. References:

https://docs.aws.amazon.com/emr/latest/ManagementGuide/emr-managed-scaling.html

https://docs.aws.amazon.com/emr/latest/ManagementGuide/emr-instance-fleet.html

https://aws.amazon.com/blogs/big-data/optimizing-amazon-emr-for-resilience-and-cost-with-capacity-optimized-spot-instances/