VishaalY/solutions-architect-hf-dataset huggingface dataset:
Question: How can I set up a trust relationship between two AWS Managed Microsoft AD domains?

I want to create a trust relationship between two AWS Directory Service for Microsoft Active Directory domains. How can I do that?ResolutionConfigure the Amazon Virtual Private Cloud (Amazon VPC) resourcesCreate two Amazon VPCs with two subnets in each VPC.Note: Make sure that Enable DNS hostnames is set to Yes on both VPCs.Create a VPC peering connection between the two VPCs.Modify the VPC peering connection to enable Accepter DNS resolution.Update your VPC route tables to support the peering connection.Configure the AWS Managed Microsoft AD resourcesDeploy an AWS Managed Microsoft AD directory in each VPC.Create an Amazon Elastic Compute Cloud (Amazon EC2) instance in each VPC to manage each corresponding AWS Managed Microsoft AD directory. Then, join each instance to its corresponding directory.Find the default security group for the AWS Managed Microsoft AD domain controllers on each directory. Then, add an Outbound rule for All traffic to 0.0.0.0/0.Install Active Directory administration tools on each management instance.Create a DNS conditional forwarder from one AWS Managed Microsoft AD directory to the otherLog in to the management instance for one AWS Managed Microsoft AD directory (Directory A).Open the DNS management console.Expand Conditional Forwarders.Open the context (right-click) menu and then select New Conditional Forwarder.Enter the FQDN and both IP addresses of the other AWS Managed Microsoft AD directory (Directory B).Choose the option to Store this conditional forwarder in Active Directory and replicate as follows. Then, select All DNS servers in this forest.Choose OK.Create the trust relationship in Directory AOpen the Directory Service console.On the list of Directories, choose the ID of Directory A. This is the directory where you created a DNS conditional forwarder in the previous steps.Follow the steps to configure the trust relationship in Directory A.After you create the trust relationship, the status is Verify Failed. Proceed with the steps to create the trust relationship on Directory B.Create the trust relationship in Directory BOpen the Directory Service console.On the list of Directories, choose the ID of Directory B. This is the directory that the DNS conditional forwarder points to.Follow the steps to configure the trust relationship in Directory B.After you create the trust relationship, the status is Verified.Verify the trust relationship in Directory AReturn to the trust relationship that you created for Directory A.Verify the trust.After you verify the trust, the status of the trust relationship for Directory A changes to Verified.
Question: How do I check which role is used by my Amazon SageMaker Studio user? How do I change this role?

I want to know which role is being used by Amazon SageMaker Studio user. Then, I want to change this role.

ResolutionWhen you create and access a SageMaker Studio domain, you use the following AWS Identity and Access Management (IAM) roles:SageMaker Studio domain execution role: You use this role to set up and provision your studio infrastructure after accessing Studio integrated development environment (IDE) through the presigned URL.SageMaker user profile role: The permission scope of this role defines the actions that a user profile can perform within the Studio environment. This is the execution role that's assumed by SageMaker to create resources on your behalf within Studio.When you create a SageMaker Studio domain, then by default SageMaker allows you to create the execution role. This role has the AmazonSageMakerFullAccess policy attached to the role. This policy gives an extended access to user profile. If your use case requires that you manage these permissions, you can restrict access to user profiles by changing the SageMaker user profile role.To check the role that's attached to the user profile, run the following on a Jupyter notebook that was created by the user profile:import sagemakersagemaker_session = sagemaker.Session()#Check which role is being usedrole = sagemaker.get_execution_role()print(role)To change the role that's attached to a user profile, run the UpdateUserProfile command.You can update the role that's attached to an existing user profile by running the following AWS Command Line Interface (AWS CLI) command:aws sagemaker update-user-profile --example-domain-id --example-user-profile-name --user-settings ExecutionRole=arn:aws:iam::1111222233334444:role/service-role/example_sagemaker_execution_roleImportant: Before changing the IAM role for a SageMaker Studio user profile, be sure that your user doesn't have any 'InService' Apps active.Note: If you receive errors when running AWS CLI commands, make sure that you’re using the most recent version of the AWS CLI.

Related informationSageMaker roles
Question: How can I resolve the "Bucket name already exists" or "BucketAlreadyExists" error from Amazon S3?

I'm trying to create a new bucket in Amazon Simple Storage Service (Amazon S3). However, I'm getting one of the following errors:"Bucket name already exists" from the Amazon S3 console"BucketAlreadyExists" from the AWS Command Line Interface (AWS CLI) or an AWS SDK"Bucket name is already owned by you" from the Amazon S3 console"BucketAlreadyOwnedByYou" from the AWS CLI or an AWS SDKHow do I resolve this?ResolutionAmazon S3 bucket names must be unique globally. If you get the "Bucket name already exists" or "BucketAlreadyExists" error, then you must use a different bucket name to create the bucket. These error messages indicate that another AWS account owns a bucket with the same name.If you get the "Bucket name is already owned by you" or "BucketAlreadyOwnedByYou" error, then check your account for a bucket with the same name. These error messages indicate that your account is already using the bucket name. You can use the Amazon S3 console to review existing buckets. Or, you can run the head-bucket AWS CLI command to confirm whether you already have a bucket with that name.Note: If you receive errors when running AWS CLI commands, make sure that you’re using the most recent AWS CLI version.

Related informationHow do I create an S3 bucket?
Question: How can I use a Lambda function created in one AWS account with an AWS CloudFormation custom resource in another AWS account?

I want to create an AWS Lambda function in one account, and then invoke that function from an AWS CloudFormation custom resource in another account.

Short descriptionYou can invoke a Lambda function from a custom resource in a different account only if the Lambda function and the custom resource are in the same AWS Region. The ServiceToken property of AWS::CloudFormation::CustomResource must be in the same Region where you created your AWS CloudFormation stack. You must use a resource-based policy to grant the accounts with your custom resources permission to invoke your Lambda function.Note: When you associate a Lambda function with a custom resource, the function is invoked whenever the custom resource is created, updated, or deleted. AWS CloudFormation calls a Lambda API to invoke the function and to pass all the request data to the function. For example, request data includes the request type and resource properties.

ResolutionNote: If you receive errors when running AWS Command Line Interface (AWS CLI) commands, make sure that you’re using the most recent AWS CLI version.To grant your Lambda function access to your custom resource from another account (Account B), run the AWS CLI command add-permission in your primary account (Account A).-or-1.    When a Lambda function is created through a stack in Account A, use the AWS::Lambda::Permission resource to grant permission to Account B.2.    In Account B, launch the AWS CloudFormation stack that contains your custom resource.Note: Be sure that the ServiceToken refers to the Lambda function's Amazon Resource Name (ARN) from Account A. Include any additional properties to send to the custom resource as input.3.    Use Amazon CloudWatch Logs to confirm that your custom resource from Account B invoked your Lambda function in Account A.

Related informationPropertiesGranting function access to other accounts
Question: How can I use AWS IAM Access Analyzer to monitor my AWS resources in my AWS Organization accounts?

I want to use AWS IAM Access Analyzer to identify resources in my organization and accounts that are shared with an external entity.

ResolutionYou can add a member account in the organization as the delegated administrator to manage Access Analyzer for your organization. The delegated administrator has permissions to create and manage analyzers with the organization as the zone of trust. Access Analyzer analyzes only policies applied to resources in the same AWS Region where it's enabled. To monitor all resources in your AWS environment, you must create an analyzer to enable Access Analyzer in each Region where you're using supported AWS resources. For more information, see Delegated administrator for Access Analyzer.Note: If you receive errors when running AWS Command Line Interface (AWS CLI) commands, make sure that you’re using the most recent AWS CLI version.Follow the instructions to add a delegated administrator using the AWS Management Console or AWS CLI. Then, follow the instructions to create an analyzer with the organization as the zone of trust.Note: Only the management account can add a delegated administrator.To view the status of your analyzers, see Access Analyzer status.

Related informationGetting started with AWS IAM Access AnalyzerUsing AWS IAM Access AnalyzerAccess Analyzer resource types
Question: How do I increase or decrease the size of my Amazon EBS volume?

I need to increase or decrease the size of my Amazon Elastic Block Store (Amazon EBS) volume. How to do this?ResolutionYou can only increase the size of your Amazon EBS volume. You can't decrease volume size. If you want to have a smaller volume size, first create a smaller volume. Then, migrate your data to it using an application-level tool.For more information, see the following Amazon EBS AWS Documentation:Requirements when modifying volumesRequest modifications to your EBS volumesTutorial: Increase the size of an Amazon EBS volume on an Amazon Elastic Compute Cloud (Amazon EC2) instanceIf you're using an AWS SDK to modify your volume, refer to the documentation that's specific to your AWS SDK.
Question: How do I set an agent's status to Offline automatically when they close the Amazon Connect CCP?

When agents in my Amazon Connect contact center close the Contact Control Panel (CCP) window, I want their status automatically changed to Offline. How do I set that up?Short descriptionUse the Amazon Connect Streams API and the Agent API to integrate the CCP into a custom application for your contact center.For an example custom CCP setup, see How do I display caller contact attributes in an Amazon Connect screenpop?Note: When using the default Amazon Connect CCP, closing it doesn't change an agent's status from Available to Offline. Agents must change their status manually.

ResolutionImportant: The following instructions provide basic examples and resources. You must determine how to implement the Streams API and develop the JavaScript client code for your own use case and contact center requirements.Set up your Amazon Connect instance's CCP in a custom web applicationFor instructions, see the Amazon Connect streams documentation on GitHub.Update your application codeIntegrate the following Streams API calls into your web application:1.    Use connect.agent() to subscribe to agent events and retrieve agent objects.let mAgent;connect.agent(function(agent) { mAgent = agent;});2.    Call agent.setState() in the onbeforeunload event handler to change the agent state.window.addEventListener("beforeunload", function(event) { if (mAgent != null) { let states = mAgent.getAgentStates(); // "states" is an array of changeable states. You can filter the desired state to change by name. let offlineState = states.filter(state => state.name === "Offline")[0]; // Change agent state mAgent.setState(offlineState, { success: function() { console.log("SetState succeeded"); }, failure: function() { console.log("SetState failed"); } }); }});Design for errorsIf an API call fails and a contact takes the error branch of your contact flow, then an agent's status might not change as expected. Make sure that you include logic in your custom code to account for this possibility.For example: You can delay the page unload while the API call is tried again. Or, you can enter a "Call failed" warning message in a modal dialog box before the page unload.

Related informationAdd custom agent statusProvide access to the Contact Control PanelMonitor metrics and run reports
Question: "What is considered a soft bounce on Amazon SES, and how can I monitor soft bounces?"

What is considered a soft bounce on Amazon Simple Email Service (Amazon SES)? What are the types of soft bounces? How can I monitor soft bounces on Amazon SES?ResolutionA soft bounce or a transient bounce is a bounced email that's rejected by the recipient mail server because of a temporary failure. Temporary failures that can lead to a soft bounce include:The recipient mailbox is full.The recipient mailbox is temporarily unavailable.The server limits are exceeded.The server is overloaded.It's best practice to retry soft bounces, which are caused by temporary issues.Note: If you're using Simple Mail Transfer Protocol (SMTP) with Amazon SES, then the specific error codes related to soft bounces are 421, 450, 451, or 452. For the descriptions of these error codes, see Simple Mail Transfer Protocol (SMTP) Enhanced Status Codes Registry on the Internet Assigned Numbers Authority (IANA) website.Amazon SES categorizes soft bounces or transient bounces as these subtypes:General: The recipient's email provider sent a general transient bounce. This typically happens when the recipient has set up an "out of the office" automatic reply. This type of soft bounce generally fixes itself. If the bounce was a result of an "out of the office" reply, then the soft bounce resolves itself after the automatic reply is removed by the recipient.MailboxFull: The recipient mailbox is full and can't accept any more emails. You might be able to send emails to the same recipient later when their mailbox is no longer full.MessageTooLarge: The recipient mail server can't accept the email because the file size of the message is too large. You can try to resolve this type of bounce by reducing your message size.ContentRejected: The recipient mail server doesn't allow the content of the email. You can try to resolve this type of bounce by modifying the content of your email.AttachmentRejected: The email contains an unacceptable attachment. Some email providers block emails with attachments of a certain file type or large attachments. After you remove or modify your email attachments, you can try to send the email to this recipient again.For more detail on these soft bounce subtypes, see Bounce types.To monitor soft bounces on Amazon SES, you can set up notifications using Amazon Simple Notification Service (Amazon SNS). The SNS notifications are triggered whenever any type of bounce is received.To determine if the rejection is a soft bounce, review the content of the SNS notification. If bounceType is Transient, then it's a soft bounce. To determine the type of soft bounce, review the value for bounceSubType.
Question: How can I resolve the error "RET_MXN_AUTH_FAILED" with the cloudhsm_mgmt_util command for CloudHSM?

The cloudhsm_mgmt_util command line tool for my AWS CloudHSM cluster returns an error similar to the following:RET_MXN_AUTH_FAILEDHow can I resolve this?Short descriptionThis error means that there is no M of N authentication provided. M of N is a quorum-based authentication, meaning that at least two users must sign a token to run a command. This makes sure that a single user can't cause incorrect activity on the CloudHSM cluster. For more information, see Managing quorum authentication (M of N access control).The listUsers command indicates that the MofnPubKey value is set to NO.aws-cloudhsm>aws-cloudhsm>listUsersUsers on server 0(172.31.21.34):Number of users found:6    User Id        User Type    User Name     MofnPubKey    LoginFailureCnt     2FA         1            CO        admin           NO               0               NO         2            AU        app_user        NO               0               NO         3            CU        cryptouser      NO               0               NO         4            CO        admin1          NO               0               NO         5            CO        palmep          NO               0               NO         6            CU        user1           NO               0               NOThis indicates that no users have a public key that can sign quorum tokens. CO (crypto officer) users must register the public key using the registerMofnPubKey command for the CloudHSM cluster. For more information, see Create and register a key for signing.

ResolutionRun the getMValue command on the CloudHSM cluster. Use the parameter 3 to indicate the value for commands under service 3. This operation uses createuser, deleteUser, and changePswd.aws-cloudhsm>getMValue 3MValue of service 3[USER_MGMT] on server 0 : [2]MValue of service 3[USER_MGMT] on server 1 : [2]In this example, the value for the HSM servers for the cluster is 2. This value can't be lowered below 2, but the value can be raised. If this value is enabled by accident, you can restore it from an older CloudHSM cluster backup. To resolve this, you must create and register an asymmetric key with the number of users specified in the getMValue. You must then retrieve and sign a quorum token by the number of users specified in the getMValue. For instructions, see Using quorum authentication for crypto officers: first-time setup.
Question: How do I read server-side traces in Amazon RDS for SQL Server?

I want to read server-side traces in Amazon Relational Database Service (Amazon RDS) for SQL Server.

Short descriptionAmazon RDS is a managed service, so it doesn't give users access to the operating system. If you use a self-hosted installation of SQL Server, then you have access to the host, and you can use the profiler GUI to open a trace file. You can run a client-side trace by connecting to the Amazon RDS DB instance remotely and collecting the trace. The trace file is then created on a remote client. Because the profiler is a client-side tool, the trace stops if the connection is lost. To avoid lost connections, you can run a server-side trace.

ResolutionRead server-side traces using T-SQL statements1.    Identify the currently running traces in the server by running a command similar to the following T-SQL statement:select * from sys.traces;Note: The sys.traces catalog view contains the current running traces on the system.2.    Read the trace file by running a command similar to the following fn_trace_gettable function:select * from ::fn_trace_gettable('D:\rdsdbdata\log\rdstest.trc', default);3.    Optionally, you can save server-side trace results to a database table. Then, you can use the database table as the workload for the Tuning Advisor by running a command similar to the following fn_trace_gettable function:SELECT * INTO RDSTraceFROM fn_trace_gettable('D:\rdsdbdata\Log\RDSTrace.trc', default);Note: These commands load the results of all files named RDSTrace.trc in the D:\rdsdbdata\Log directory—including all rollover files such as RDSTrace_1.trc—into a table named RDSTrace that is located in the current database.Trace and dump files accumulate, and they can fill up disk space. By default, Amazon RDS purges trace and dump files that are more than seven days old. You can modify the retention period for trace files by using the rds_set_configuration stored procedure to set the trace file retention. The following stored procedure sets the trace file retention period to 24 hours (1440 minutes):exec rdsadmin..rds_set_configuration 'tracefile retention', 1440;Related informationWorking with trace and dump filesMicrosoft SQL Server database log filesAnalyzing your database workload on an Amazon RDS for SQL Server DB instance with Database Engine Tuning AdvisorAmazon RDS for Microsoft SQL Server
Question: How do I save money on my AWS usage using a Savings Plan?

I want to get the best price for my predictable workloads on Elastic Compute Cloud (Amazon EC2) instances, AWS Fargate, or Amazon SageMaker. How can AWS Savings Plans help me save money?ResolutionYou can use Savings Plans to save on AWS usage in exchange for a commitment to a consistent amount of usage. There are three types of Savings Plans:Compute Savings Plans offer flexible attributes such as instance family, instance size, AWS Region, operating system, tenancy, and compute options.EC2 Instance Savings Plans offer flexible attributes such as size, operating system, and tenancy within a specific instance family in a chosen AWS Region.Amazon SageMaker Savings Plans offer flexible attributes such as instance family, instance size, AWS Region, and component for your SageMaker instance usage.PricingYou can sign up for a Savings Plan by making a commitment of as little as $0.00001/hour. The rates offered by your Savings Plan remain constant throughout the term of the plan. For detailed pricing information, see Compute Savings Plans and Machine Learning Savings Plans.Note: The benefit of Savings Plans is applied to usage every hour. Any unused benefits aren't carried over to the next hour.Savings Plans recommendationsYou can view your Savings Plans recommendations  based on your past usage. Or, you can construct and purchase a custom Savings Plan based on your planned AWS usage. For more information, see How can I use Cost Explorer to analyze my spending and usage?Purchase optionsTo purchase a Savings Plan, you must turn on Cost Explorer. To complete a Savings Plan purchase, see Purchasing Savings Plans.To purchase Savings Plans using APIs, see Savings Plans API Reference.For more information, see What should I consider before purchasing a Savings Plan?Note: You can have multiple Savings Plans active at the same time.

Related informationWhy aren't my Savings Plans applying to my AWS billing in the way that I expected?Can I schedule my Savings Plan to renew automatically? How is the pricing benefit of a Savings Plan applied across an organization's consolidated bill?Understanding how Savings Plans apply to your AWS usage