VishaalY/solutions-architect-hf-dataset huggingface dataset:
Question: Why am I receiving errors when running AWS CLI commands?

I'm receiving errors when running AWS Command Line Interface (AWS CLI) commands on my resource. How do I troubleshoot this?ResolutionVerify that you have the latest version of the AWS CLI installed. The AWS CLI is updated frequently. You can't access new released features when running an older CLI version. For information on how to update your version of the AWS CLI, see the General: Ensure you're running a recent version of the AWS CLI section in Troubleshooting AWS CLI errors.Make sure that the AWS Identity and Access Management (IAM) role or IAM user has the correct permissions to run the relevant commands. For instructions on how to do this, see Why am I receiving the error message "You are not authorized to perform this operation" when I try to launch an EC2 instance?Make sure that the time on your host machine is correct.For Linux, see Setting the time for your Linux instance.For Windows, see Setting the time for a Windows instance.Make sure that you're using the correct AWS Security Token Service (AWS STS) token format. For more information, see Why did I receive the IAM error, "AWS was not able to validate the provided access credentials" in some AWS Regions?Make sure that you're using the correct credentials to make the API call. If there are multiple sets of credentials on the instance, credential precedence might affect which credentials the instance uses to make the API call. Verify the set of credentials that you're using by running the aws sts get-caller-identity command. For more information, see Why is my Amazon EC2 instance using IAM user credentials instead of role credentials?Make sure that the AWS CLI program file has run permission on Linux or macOS. For more information, see the I get access denied errors section in Troubleshooting AWS CLI errors.

Related informationTroubleshooting AWS CLI errorsWhy can't I run AWS CLI commands on my EC2 instance?
Question: How do I configure a secondary private IPv4 address on my EC2 instance?

I want to configure a secondary private IPv4 address on my Amazon Elastic Compute Cloud (Amazon EC2) instance.

Short descriptionYou can assign a secondary private IPv4 address to an Amazon EC2 instance when you launch the instance. If you already launched the EC2 instance, then you can assign a secondary private IP address to the network interface.Resolution1.    Assign the secondary IPv4 address to your instance.2.    Configure the instance operating system to recognize the new IP address.For Windows Server, see Configure a secondary private IPv4 address for your Windows instance.For Amazon Linux, see Configure the operating system on your instance to recognize secondary private IPv4 addressesFor other Linux distributions, see the network configuration documentation for your distribution. For example, for Ubuntu, see Network configuration on the Ubuntu website.3.    (Optional) If you need a public IP, you can associate an Elastic IP address with your new secondary private IP address.Note: If you have more than one Elastic IP address on an EC2 instance, then charges apply. For instructions on releasing an Elastic IP address, see Release an Elastic IP address.

Related informationMultiple IP addressesConnect your VPC to other networksAssign multiple IPv6 addresses
Question: How do I purchase an Amazon EC2 Reserved Instance that reserves capacity in a specific Availability Zone?

I want to make sure that an instance type in a particular Availability Zone is available when I need it. How do I purchase an Amazon Elastic Compute Cloud (Amazon EC2) Reserved Instance that does that?ResolutionBy default, newly purchased Reserved Instances don't reserve capacity.To purchase a Reserved Instance that reserves capacity for a specific Availability Zone, do the following:Open the Amazon EC2 console.Choose Reserved Instances from the navigation pane.Choose Purchase Reserved Instances.In the purchasing menu, select Only show offerings that reserve capacity.Choose the desired instance characteristics from the dropdown list.Choose Search.A column for Availability Zone appears in the search results. These Reserved Instances reserve the capacity for your use in that Availability Zone.

Related informationBuying Reserved Instances
Question: Why can't I delete an Amazon S3 bucket that Elastic Beanstalk created?

My AWS Elastic Beanstalk application created an Amazon Simple Storage Service (Amazon S3) bucket. Why can't I delete the bucket?ResolutionWhen you use an Elastic Beanstalk application to create an S3 bucket, a policy is applied to the bucket that protects it from accidental deletion. To delete the bucket, you must delete the bucket policy first. For instructions, see Deleting the Elastic Beanstalk Amazon S3 Bucket.Warning: If you delete the bucket, then any other AWS resources or applications that depend on the bucket might stop working correctly.

Related informationDeleteBucketPolicydelete-bucket-policy
Question: How do I resolve the "Unable to verify/create output bucket" error in Amazon Athena?

When I run Amazon Athena queries in SQL Workbench/J, in AWS Lambda, or with an AWS SDK, I get the error: "Unable to verify/create output bucket."Short descriptionHere are some common causes of this error:The Amazon Simple Storage Service (Amazon S3) bucket that you specified for the query result location doesn't exist.The AWS Identity and Access Management (IAM) policy for the user or role that runs the query doesn't have the required Amazon S3 permissions, such as s3:GetBucketLocation.

ResolutionIf you manually set the query result location, you must confirm that the S3 bucket exists. Then, check the IAM policy for the user or role that runs the query:Confirm that the permissions in the following example policy, such as s3:GetBucketLocation are allowed.Be sure that the IAM policy does not contain a Deny statement that uses aws:SourceIp or aws:SourceVpc to restrict S3 permissions.Note: If the bucket already exists, then the s3:CreateBucket permission isn't required. If you manually set the query result location, then don't include arn:aws:s3:::aws-athena-query-results-* in the policy. The policy must include arn:aws:s3:::query-results-custom-bucket and arn:aws:s3:::query-results-custom-bucket/* only if you manually set the query result location.{    "Version": "2012-10-17",    "Statement": [        {            "Effect": "Allow",            "Action": [                "s3:GetBucketLocation",                "s3:GetObject",                "s3:ListBucket",                "s3:ListBucketMultipartUploads",                "s3:ListMultipartUploadParts",                "s3:AbortMultipartUpload",                "s3:CreateBucket",                "s3:PutObject"            ],            "Resource": [                "arn:aws:s3:::aws-athena-query-results-*",                "arn:aws:s3:::query-results-custom-bucket",                "arn:aws:s3:::query-results-custom-bucket/*"            ]        }    ]}Related informationAccess to Amazon S3Bucket policy examplesControlling access from VPC endpoints with bucket policiesExample - object operations
Question: How can I disable the API Gateway default endpoint for REST or HTTP APIs?

I want to allow clients to invoke my APIs only using the custom domain name. How can I deactivate the default API execute-api endpoint URL for Amazon API Gateway REST or HTTP APIs?Short descriptionAPI Gateway REST APIs and HTTP APIs use a default API endpoint in the following format: "https://{api_id}.execute-api.{region}.amazonaws.com". If you use a custom domain name for your API Gateway REST or HTTP APIs, you can deactivate the default endpoint. This allows all traffic to route to your APIs through the custom domain name.

ResolutionFollow these steps to disable the default endpoint using the API Gateway console, AWS Command Line Interface (AWS CLI), or AWS CloudFormation.Note:If you receive errors when running AWS CLI commands, make sure that you’re using the most recent version of the AWS CLI.After you activate or deactivate the default endpoint, a deployment is required for the update to take effect.API Gateway consoleREST APIOpen the API Gateway console.In the navigation pane, choose APIs, and then choose your REST API.In the navigation pane, choose Settings.For the Default Endpoint, choose Disabled, and then choose Save Changes.In the navigation pane, choose Resources, Actions, and then choose Deploy API.HTTP APIOpen the API Gateway console.In the navigation pane, choose APIs, and then choose your HTTP API.In the navigation pane, choose Settings.For the Default Endpoint, choose Disabled, and then choose Save Changes.In the navigation pane, choose Resources, Actions, and then choose Deploy API.AWS CLIREST APIRun the AWS CLI command update-rest-api similar to the following:aws apigateway update-rest-api --rest-api-id abcdef123 --patch-operations op=replace,path=/disableExecuteApiEndpoint,value='True'To deploy the updated API, run the AWS CLI command create-deployment similar to the followingaws apigateway create-deployment --rest-api-id abcdef123 --stage-name devNote: Replace api_id abcdef123 and stage_name dev with your REST API ID and respective stage.HTTP APIRun the AWS CLI commandupdate-api similar to the following:aws apigatewayv2 update-api --api-id abcdef123 --disable-execute-api-endpointTo deploy the updated API, run the AWS CLI command create-deployment similar to the following:aws apigatewayv2 create-deployment --api-id abcdef123 --stage-name devNote: Replace api_id abcdef123 and stage_name dev with your HTTP API ID and respective stage.CloudFormation templateTo disable the default endpoint from a CloudFormation template, you can set the DisableExecuteApiEndpoint parameter to True. Update the CloudFormation template for REST API or HTTP API.Important: Disabling the default endpoint results in HTTP 403 Forbidden errors if the API is invoked using the default endpoint URL.

Related informationHow do I troubleshoot HTTP 403 errors from API Gateway?
Question: How do I troubleshoot the error "javasqlSQLException: No more data to read from socket" when I'm trying to connect to my Amazon RDS for Oracle instance?

I get the error "javasqlSQLException: No more data to read from socket" when I try to connect to my Amazon Relational Database Service (Amazon RDS) for Oracle DB instance.

ResolutionYou get the error “javasqlSQLException: No more data to read from socket“ because of a connectivity issue between the Oracle server and the client JDBC driver. The most common reasons and troubleshooting options for these connection failures are the following:The connection is abruptly terminated due to network interruptions: To troubleshoot this issue, check the alert.log file of the instance for any TNS timeout errors posted during the time when the connection timed out from the application end. For more information, see Oracle documentation for TNS timeout errors. For more information on accessing the alert log for RDS instances, see Oracle database log files.The connection is terminated because of Oracle errors on the server side: Check the alert.log file for ORA-0600 or ORA-07445 errors. Collect the trace dump for specific Oracle errors. Check if these errors have a known fix provided by Oracle support.The client-server connection is not active: To troubleshoot this issue, set the parameter SQLNET.EXPIRE_TIME to a specified interval, in minutes, to send a probe that verifies that the client-server connections are active. For more information, see Oracle documentation for SQLNET. EXPIRE_TIME.The RDS for Oracle instance is not available or was restarted when the JDBC client was trying to use an existing connection to the Oracle server: To troubleshoot this issue, retrieve events for the RDS instance and check if the instance was restarted or stopped when the connections were established from the JDBC client.The JDBC drivers used for connecting to the RDS for Oracle Instance are incompatible: To troubleshoot this issue, confirm that the version of JDBC driver is compatible with that of the DB instance. For the list of compatible JDBC drivers, see Oracle documentation for Compatibility matrix for Java machines and JDBC drivers used with ODI. If the JDBC driver is incompatible, download the latest JAR file in your source code. Then, include this file in your classpath when you compile the class that creates connections to the database. For more information, see Downloading the JDBC driver.The memory components on the client side cause timeouts: To troubleshoot this issue, check if the Oracle Data Integrator has memory components on the client side that cause unwanted timeouts. Be sure that you set the correct values for these components on the client side. For more information, see Oracle documentation for How to define Java options (such as the limits of memory heap, the location of non-Java libraries, etc.) in ODI.

Related informationOracle documentation for A "No More Data to Read From Socket" error has been signaled from an ODI integration interface
Question: How do I resolve the CloudHSM error "InitializeCluster request failed: CloudHsmInvalidRequestException - TrustAnchor provided is not a valid x509 certificate"?

I tried to initialize an AWS CloudHSM cluster, and received the error "InitializeCluster request failed: CloudHsmInvalidRequestException - TrustAnchor provided is not a valid x509 certificate."ResolutionYou must use a self-signed root certificate (customerCA.crt) to sign the cluster certificate signing request (CSR). Verify that the certificate is an issuing certificate or trust anchor root certificate with the following AWS CLI command: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.$ openssl x509 -in customerCA.crt -text -nooutIf the certificate customerCA.crt is a root certificate, then the issuer and subject are the same.For more information, see Sign the CSR.

Related informationWhat is AWS CloudHSM?
Question: What are the best practices for using multiple Network Load Balancers with an endpoint service?

I want to use multiple Network Load Balancers with an endpoint service.

ResolutionWhen you associate multiple Network Load Balancers with an endpoint service, the endpoint interface connects to only one Network Load Balancer per Availability Zone. To make sure that all endpoint consumers have a consistent service experience, use the same configuration across your Network Load Balancers.It's a best practice to identically configure the following items for each of your Network Load Balancers:Listener port and protocolTarget groups and targetsThe application that runs on the target instances

Related informationWhat is a Network Load Balancer?Access an AWS service using an interface VPC endpoint
Question: Why did Amazon EC2 terminate my Spot Instance?

I launched a Spot Instance but now I can't find it in the Amazon Elastic Compute Cloud (Amazon EC2) console. Or, my Amazon EMR node Spot Instance was terminated.

ResolutionAmazon EC2 can interrupt your Spot Instance at any time with a two-minute notice for the following reasons:Lack of Spot capacity: Amazon EC2 can interrupt your Spot Instance when its capacity is required. Usually, Amazon EC2 reclaims your instance to repurpose capacity. Amazon EC2 might also terminate your Spot Instance for issues such as host maintenance or hardware decommission.Amazon EC2 can't meet your Spot Instance request constraints: Some Spot requests include a constraint, such as a launch group or a specific Availability Zone group. The Spot Instances are terminated as a group when the constraint can no longer be met.The Spot Price is higher than the maximum price that you set: When you request a Spot Instance, you can specify a maximum price for the instance. By default, this maximum price is equal to the On-Demand pricing for that instance type. When the Spot Price increases beyond your set maximum price, your Spot Instance is interrupted. If the interruption behavior is "stop" or "hibernate", your Spot Instance starts again when the Spot price reduces to under your maximum price. Setting a high maximum price doesn't mean that a Spot Instance is available. For more information, see How Spot Instances work.Because of these interruptions, it's a best practice to use Spot Instances for workloads that are stateless, fault-tolerant, and flexible enough to withstand interruptions.Note: When Amazon EC2 interrupts a Spot Instance, the Spot Instance is terminated by default. You can change this default behavior to hibernate, or you can stop the instance instead of terminating it. For more information, see Spot Instance interruptions.To determine why Amazon EC2 interrupted your Spot Instance, do the following:Open the Amazon EC2 console, and then select Spot Requests.Select the Request ID of the terminated Spot Instance.View the Status field under the Description section to see the reason code for why the instance was terminated. For example, if Amazon EC2 didn’t have enough Spot Capacity, the Status field says "instance-terminated-no-capacity". For a complete list of reason codes, see Spot request status codes.You can use Spot Instance interruption notices to work around potential interruptions. For more information, see Taking advantage of Amazon EC2 Spot Instance interruption notices.

Related informationSpot request statusSpot Instance best practicesWhy is my Spot Instance terminating even though the maximum price is higher than the Spot price?When should you use Spot Instances - Amazon EMR documentation
Question: How do I use table statistics to monitor an AWS DMS task?

How do I use table statistics to monitor an AWS Database Migration Service (AWS DMS) task?ResolutionOpen the AWS DMS console, and then choose Database migration tasks.Choose the name of the task that you want to monitor.Note: If your table had an issue that you corrected, select the table, and then choose Reload table data. This action reloads one or more tables, so you don't have to restart the task.From the Table statistics section, you can view column details for your table.The Load state column has the following states:Table does not exist: AWS DMS can't find the table on the source endpoint.Before load: The full load process is enabled, but it hasn't started yet.Full load: The full load process is in progress.Table completed: Full load is completed.Table cancelled: Loading of the table is canceled.Table error: An error occurred when loading the table.The Inserts, Deletes, Updates, and DDLs columns show the number of these statements that were replicated during the change data capture (CDC) phase.The Full load rows column shows the total number of rows that were migrated during the full load phase.The Total column shows the total number of rows that were migrated during the full load and the applied Insert, Update, or Delete statements during the CDC phase.The Validation state column shows the state of the validation, such as Not enabled, Pending records, Validated, or Error.The Validation pending, Validation failed, and Validation suspended columns show the number of transactions for each transaction type. For example, this value represents the number of rows that failed validation, are suspended, or are in pending state. For more information, see Validating AWS DMS tasks.The Last updated column shows the date and time that the information contained in the table statistics tab was last updated.If you stop and restart a task, the table statistics are reset. For example, if you perform a CDC with entries for inserts, updates, and deletes, stopping and resuming a task resets the count to 0.

Related informationMonitoring AWS DMS tasks
Question: How can I check to see who modified a Lambda function what changes were made?

I want to find out who modified an AWS Lambda function and what changes were made.

ResolutionYou can use AWS CloudTrail to track which users are modifying Lambda functions and what changes were made. CloudTrail is turned on by default for your AWS account.For an ongoing record of events in your AWS account, create a trail. Using a trail, CloudTrail creates logs of API calls made on your account. These logs are delivered to an Amazon Simple Storage Service (Amazon S3) bucket that you specify. If you don't configure a trail, you can still view the most recent events in the CloudTrail console in Event history.Event history1.    Open the CloudTrail console.2.    In the navigation pane, choose Event history.3.    Follow the instructions for viewing, displaying, and filtering CloudTrail events for your use case.You can also download recorded event history as a file in CSV or JSON format.For an example CloudTrail log entry for the GetFunction and DeleteFunction API actions, see Understanding Lambda log file entries in the Lambda Developer Guide.Important: The eventName might include date and version information, such as "GetFunction20150331", but it's still referring to the same public API.For a list of all supported Lambda APIs, see Actions in the Lambda Developer Guide.CloudTrail logs1.    Open the CloudTrail console.2.    In the navigation pane, choose Trails.3.    Select the S3 bucket value for the trail that you want to view. The Amazon S3 console opens and shows that bucket, at the top level for the log files.4.    Choose the folder for the AWS Region where you want to review log files.5.    Navigate the bucket folder structure to the year, the month, and the day where you want to review logs of activity in that Region.6.    Select the file name, and then choose Download.7.    Unzip the file, and then use your favorite JSON file viewer to see the log.The log contains information about requests for resources in your account. For example, who made the request, the services used, and the actions performed. For more information, see Understanding Lambda log file entries.

Related informationUsing AWS Lambda with AWS CloudTrailLogging Lambda API calls with CloudTrailHow do I know which user made a particular change to my AWS infrastructure?
Question: How do I create an AWS access key?

I need an AWS access key to allow a program, script, or developer to have programmatic access to the resources on my AWS account.

ResolutionAn access key grants programmatic access to your resources. This means that you must guard the access key as carefully as the AWS account root user sign-in credentials.It's a best practice to do the following:Create an IAM user, and then define that user's permissions as narrowly as possible.Create the access key under that IAM user.For more information, see What are some best practices for securing my AWS account and its resources?Related informationBest practices for managing AWS accountsAccess management for AWS resources