VishaalY/solutions-architect-hf-dataset huggingface dataset:
Question: Why aren't my Amazon Cognito user pool analytics appearing on my Amazon Pinpoint dashboard?

My Amazon Cognito user pool analytics aren't publishing to my Amazon Pinpoint project dashboard. Why aren't my user pool analytics appearing in Amazon Pinpoint after I specify Amazon Pinpoint analytics settings in the Amazon Cognito console?Short descriptionVerify that your application is passing an AnalyticsMetadata parameter in its requests to the InitiateAuth API operation. Without this parameter, Amazon Cognito can't pass user pool analytics from your application to Amazon Pinpoint.To have your application pass an AnalyticsMetadata parameter in its requests to the InitiateAuth API operation, use AWS SDKs.

ResolutionImportant: The AnalyticsMetadata parameter value must be unique for each endpoint. Each unique value corresponds to a single data point in your Amazon Pinpoint dashboard.For instructions for each language-specific AWS SDK, see the See also section of the InitiateAuth page in the Amazon Cognito API Reference.AWS SDK for JavaScript code examplevar cognitoidentityserviceprovider = new AWS.CognitoIdentityServiceProvider();var params = {  AuthFlow: "USER_PASSWORD_AUTH",  ClientId: 'STRING_VALUE', /* the client ID attached to the Pinpoint project */  AuthParameters: {    'USERNAME': 'STRING_VALUE',    'PASSWORD': 'STRING_VALUE'  },  AnalyticsMetadata: {    AnalyticsEndpointId: 'STRING_VALUE' /* random UUID unique for each Cognito user */  },};cognitoidentityserviceprovider.initiateAuth(params, function(err, data) {  if (err) console.log(err, err.stack); // an error occurred  else     console.log(data);           // successful response});
Question: Should I use CloudFront to serve my website content?

I'm using Amazon Elastic Compute Cloud (Amazon EC2) and Elastic Load Balancing (ELB) to serve my website. Should I integrate Amazon CloudFront?ResolutionCloudFront can speed up the distribution of your website's static and dynamic content. For more information, see What is Amazon CloudFront?CloudFront complements a website that has:A high volume of static content, such as image filesRequests from clients around the worldBecause CloudFront caches static content on edge locations around the world, CloudFront can reduce latency for websites serving high volumes of static content to global clients.Other advantages of CloudFront include:Integration with other AWS services, including AWS Certificate Manager (ACM), Amazon Simple Storage Service (Amazon S3), AWS WAF, AWS Elemental MediaPackage, and AWS Elemental MediaStore.Reduced overhead on the origin because of CloudFront's SSL offloading and persistent connection with the origin.Improved load-handling capacity for content cached on regional edge locations.CloudFront isn't recommended for websites that have an origin server that's geographically close to the website's users, such as a regional website.

Related informationWorking with distributions
Question: How do I use transformations in AWS DMS?

How do I use transformations in AWS Database Migration Service (AWS DMS) to modify a schema, table, or column?Short descriptionYou can use transformations to modify a schema, table, or column. For example, you can rename, add, replace, or remove a prefix or suffix for a table, or change the table name to uppercase or lowercase. You can define your transformation rules by using the AWS Command Line Interface (AWS CLI) or API, or by using the AWS DMS console.

ResolutionNote: If you receive errors when running AWS CLI commands, make sure that you’re using the most recent version of the AWS CLI.Open the AWS DMS console, and then choose Database migration tasks from the navigation pane.Choose Create task.Enter the details for Task configuration and Task settings.Select Enable CloudWatch logs.From the Table mappings section, choose Guided UI. You can also choose JSON editor to enter the mappings in JSON format.Expand the Selection rules section, and then choose Add a new selection rule.Enter a Schema and Table name.From Action, select Include or Exclude.Note: You can add multiple selection rules by choosing Add new selection rule and then entering the details for your selection rule. You must have at least one selection rule to use transformations.Expand the Transformation rules section, and then choose Add a new transformation rule.Choose a Target by selecting Schema, Table, or Column.Note: If you choose Column, you must enter the Schema, Table, and Column names. If you choose Table, you must enter the Schema and Table names only. If you choose Schema, you must enter the Schema name only.From Action, select one of the following:Rename toRemove column (Unavailable if you choose Schema or Table as the target)Make lowercaseMake uppercaseAdd prefixRemove prefixReplace prefixAdd suffixRemove suffixReplace suffixChoose Add a new transformation rule to save the transformation rule.Choose Create task.To add transformations to a task that already exists, choose Database migration tasks from the navigation pane. Select your task, choose Actions, and then choose Modify. From the Table mappings section, expand Selection rules, and then choose Add new selection rule. To add more transformations, expand Transformation rules, choose Add a new transformation rule, and then choose Save.For more information on how each of these transformation rules work (with examples), see Transformation rules and actions.
Question: Why am I getting 503 Slow Down errors from Amazon S3 when the requests are within the supported request rate per prefix?

The rate of requests to a prefix in my Amazon Simple Storage Service (Amazon S3) bucket is within the supported request rates per prefix, but I'm getting 503 Slow Down errors.

ResolutionAmazon S3 supports a request rate of 3,500 PUT, COPY, POST, DELETE or 5,500 GET, HEAD requests per second per prefix in a bucket. When you create a prefix, Amazon S3 doesn't automatically assign the resources for this request rate. Instead, as the request rate for a prefix gradually increases, Amazon S3 automatically scales to handle the increased request rate.When you make requests at a high request rate that's close to the rate limit, Amazon S3 returns 503 Slow Down errors. To prevent these errors, maintain the request rate and implement a retry with exponential backoff. This allows Amazon S3 time to monitor the request patterns, and scale in the backend to handle the request rate.If there's a sudden increase in the request rate for objects in a prefix, then Amazon S3 might return 503 Slow Down errors. It returns these errors as it scales in the background to handle the increased request rate. To prevent these errors, configure your application to gradually increase the request rate. Then, use an exponential backoff algorithm to retry failed requests.If you exceed supported request rates, then it's a best practice to distribute objects and requests across multiple prefixes.Note: If the preceding resolutions don't resolve the errors, then get the request IDs for the failed requests, and contact AWS Support.
Question: How do I troubleshoot issues when changing my Amazon EBS volume type?

When I try to change my Amazon Elastic Block Store (Amazon EBS) volume type, I encounter issues. How do I troubleshoot these issues?Short descriptionThe following are common issues that can occur when you change your Amazon EBS volume type:The size or performance isn't within the limits of the target volume type that you're changing to.The option to change the volume type on your Amazon EBS Multi-Attach activated io1 or io2 volume is grayed out.You want to change your io1, io2, gp2, gp3, or standard volume that's also the root volume of your instance. But, you don't see the sc1 and st1 HDD-backed volume types in the dropdown list.You don't see the expected performance after changing your volume type.

ResolutionThe size or performance isn't within the limits of the target volume type that you're changing toWhen you modify a volume type, the size and performance must be within the limits of the target volume type. For example, if you modify a gp3 volume that's bigger than 1024 GiB to Magnetic, then you get an error message. This error occurs because standard volumes have a maximum size of 1024 GiB. Magnetic is a previous generation volume type. It's a best practice to use a current volume type for higher performance. For more information see, Amazon EBS volume types.Also, after you increase the size of your volume, the new size is immediately available to use. However, if the volume is in the "optimizing" state, then volume performance is in between the source and target configuration specifications.The option to change the volume type on your Multi-Attach activated io1 or io2 volume is grayed outYou can't change the volume type on your Multi-Attach activated io1 or io2 volume. You can modify only the size and Provisioned IOPS for Multi-Attach activated io2 volumes. See Considerations and limitations for Multi-Attach.You don't see the sc1 and st1 HDD-backed volume types in the dropdown list for certain volume typesYou can't change the following volume types to an sc1 or st1 volume because sc1 and st1 volumes aren't supported as boot volumes:io1io2gp2gp3standardFor more information on modifying Amazon EBS volumes, see Limitations.You don't see the expected performance after changing your volume typeMake sure that your workload doesn't exceed the IOPS or throughput limits of your new volume type or instance limits. If Amazon CloudWatch doesn't show that you reached your limits, then your workload might still be micro-bursting. If your workload isn't micro-bursting and you still can't determine whether you reached your limits, then contact AWS Support to further investigate the issue.

Related informationWhy is my Amazon EBS volume stuck in the Optimizing state when I modify the volume?
Question: How do I troubleshoot binary logging errors that I received when using AWS DMS with Aurora MySQL as the source?

I have an Amazon Aurora DB instance that is running MySQL and binary logging is enabled. I'm using the Aurora DB instance as the source for an AWS Database Migration Service (AWS DMS) task, and I received an error. How do I troubleshoot and resolve this error?Short descriptionYou must enable binary logging on the source Aurora MySQL-Compatible Edition DB writer instance to use change data capture (CDC) with an AWS DMS task that is either FULL LOAD AND CDC or CDC only. You must use the writer instance because read replicas aren't supported as a source for CDC operations. For more information, see the Limitations on using a MySQL database as a source for AWS DMS.If binary logging isn't enabled or you're connected to the reader instance, then you see a log entry similar to the following:Messages[SOURCE_CAPTURE ]I: System var 'log_bin' = 'OFF'[SOURCE_CAPTURE ]E: Error Code [10001] : Binary Logging must be enabled for MySQL server [1020418] (mysql_endpoint_capture.c:366)

ResolutionIf you're connected to the reader instance, first identify the writer instance, and then connect to the writer instance with AWS DMS. It's a best practice to connect to the cluster endpoint because the cluster endpoint points to the current writer of the cluster at all times.Then, connect to the source Aurora cluster writer node by using the cluster endpoint to confirm that binary logging is enabled:mysql> show global variables like "log_bin";+---------------+-------+| Variable_name | Value |+---------------+-------+| log_bin       | OFF   |+---------------+-------+If the log_bin parameter is set to OFF, then check the Aurora cluster's cluster parameter group to confirm that the binlog_format parameter is set to ROW. If binlog_format isn't set to ROW, modify the parameter to enable binary logging for Aurora for MySQL.Note: This is a static parameter, so you must reboot your Aurora instance for this change to take effect.After you set the binlog_format parameter to ROW, confirm that binary logging is enabled by connecting to your Aurora instance:mysql> show global variables like "log_bin";+---------------+-------+| Variable_name | Value |+---------------+-------+| log_bin       | ON    |+---------------+-------+After you enable binary logging and confirm that you're using the cluster writer endpoint with AWS DMS, restart your task.

Related informationUsing a MySQL-compatible database as a source for AWS DMS
Question: Why do I still see my Amazon S3 bucket even though I deleted it?

I deleted my Amazon Simple Storage Service (Amazon S3) bucket. However, I can still see the bucket in the Amazon S3 console or in responses to API requests. Why is this happening?ResolutionBecause of the distributed nature of Amazon S3 and itseventual consistency model, it can take some time for changes to propagate across all AWS Regions. This is why you might temporarily see your bucket in the console, or in a response to aListBuckets API request, even after you delete the bucket.Until the bucket is completely removed by Amazon S3, you might still see the bucket, but you can't perform any other actions on the bucket.

Related informationBuckets overviewDeleting a Bucket
Question: How do I use IAM policy variables with federated users?

When I use the GetFederationToken API to generate temporary credentials, the ${aws:userName} policy variable doesn't work.

ResolutionWhen using the GetFederationToken API, use the ${aws:userID} policy variable instead of the ${aws:userName} policy variable. This is because the variable ${aws:userName} isn't present if the principal is a federated user. For more information, see where you can use policy variables.The following JSON IAM policy provides an example where the ${aws:userName} policy variable has been replaced with the ${aws:userID} policy variable:{   "Version":"2012-10-17",   "Statement":[      {         "Sid":"AllowListingOfUserFolder",         "Action":[            "s3:ListBucket"         ],         "Effect":"Allow",         "Resource":[            "arn:aws:s3:::TESTBUCKET"         ],         "Condition":{            "StringLike":{               "s3:prefix":[                  "TESTBUCKET/${aws:userid}/*"               ]            }         }      },      {         "Sid":"AllowAllS3ActionsInUserFolder",         "Action":[            "s3:PutObject",            "s3:GetObject",            "s3:GetObjectVersion",            "s3:DeleteObject"         ],         "Effect":"Allow",         "Resource":[            "arn:aws:s3:::TESTBUCKET/${aws:userid}/*"         ]      }   ]}The value for the aws:userid variable should be "ACCOUNTNUMBER:caller-specified-name".When calling the GetFederationToken API, the Name parameter value must follow the guidelines established in GetFederationToken. For example, if you specify the friendly name Bob, the correct format is "123456789102:Bob". This names your session and allows access to the Amazon Simple Storage Service (Amazon S3) bucket with a matching prefix.Note: This example assumes that the caller-specified name (friendly name) portion of the aws:userid variable is unique. A unique friendly name prevents the scenario where another user with the same friendly name is not granted access to resources specified in the JSON policy. For more information, see Unique identifiers.

Related informationPermissions for GetFederationTokenToken vending machine for identity registration - sample java web applicationIAM policy elements: variables and tagsIAM identifiers
Question: How can I filter AWS DMS tasks by date?

I want to filter my AWS Database Migration Service (AWS DMS) tasks by date. How can I do that?ResolutionTo filter AWS DMS tasks by date, use table mappings. When entering your table mappings, the filter-operator parameter can have one of the following values:lte – less than or equal to one valueste – less than or equal to one value (lte alias)gte – greater than or equal to one valueeq – equal to one valuenoteq – not equal to one valuebetween – equal to or between two valuesnotbetween – not equal to or between two valuesThe following JSON example filter uses gte and date_of_record >= 2019-01-08.{  "rules": [    {      "rule-type": "selection",      "rule-id": "1",      "rule-name": "1",      "object-locator": {        "schema-name": "testonly",        "table-name": "myTable_test"      },      "rule-action": "include",      "filters": [        {          "filter-type": "source",          "column-name": "date_of_record",          "filter-conditions": [            {              "filter-operator": "gte",              "value": "2019-01-08"            }          ]        }      ]    }  ]}Note: When importing data, AWS DMS uses the date format YYYY-MM-DD and the time format YYYY-MM-DD HH:MM:SS for filtering.

Related informationUsing table mapping to specify task settingsUsing source filtersFiltering by time and date
Question: How do I configure CloudFront to forward the host header to the origin?

The origin that's configured on my Amazon CloudFront distribution uses virtual hosting. Because of this, my distribution must forward the host header to my origin server. I want to configure my distribution to forward the host header.

Short descriptionTo configure your distribution to forward the host header to the origin, take one of the following actions:Create a cache policy and an origin request policy.Edit the settings of an existing behavior in the distribution.Important: For Amazon Simple Storage Service (Amazon S3) origins, caching that's based on the host header isn't supported. For more information, see Selecting the headers to base caching on.

ResolutionCreate a cache policy and an origin request policyFollow the steps to create a cache policy using the CloudFront console.Under Cache key settings, for Headers, choose Include the following headers. From the Add header dropdown list, choose Host.Complete all other settings of the cache policy based on the requirements of the behavior that you're attaching the policy to, and then choose Create.After you create the cache policy, follow the steps to attach the policies to the relevant behavior of your CloudFront distribution.Edit the settings of an existing behaviorOpen the CloudFront console, and then choose your distribution.Choose the Behaviors tab, and then choose the path to forward the host header to.Choose Edit.Under Cache key and origin requests, confirm that Legacy cache settings is selected. If it's not selected, then follow the steps in the preceding section to create a cache policy. If Legacy cache settings is selected, then complete the following:For Headers, choose Include the following headers.From the Add header dropdown list, choose Host.Choose Save Changes.

Related informationCaching content based on request headersWorking with policies
Question: How do I resolve WorkSpaces system errors by restoring or rebuilding my WorkSpace?

Amazon WorkSpaces is failing, returning system errors, or failing while Windows is updating. How do I resolve these issues?ResolutionYou can resolve critical errors or failures with your WorkSpace by using either the restore or rebuild feature. Restoring a WorkSpace is easier than rebuilding one, and it deletes less data in the process. Keep the following points in mind when deciding whether to restore or rebuild a WorkSpace:Restoring your WorkSpaceTo restore a WorkSpace, it must have a state of AVAILABLE, ERROR, UNHEALTHY, or STOPPED. A WorkSpace in the REBOOTING state cannot be restored.To restore a WorkSpace, you must have snapshots of both the root volume and user volume.When you restore a WorkSpace, both the root volume and user volume are recreated from the most recent healthy snapshot.To restore your WorkSpace, then follow the instructions at Restore a WorkSpace.Rebuilding your WorkSpaceTo restore a WorkSpace, it must have a state of AVAILABLE, ERROR, UNHEALTHY, STOPPED, or REBOOTING.To rebuild a WorkSpace, you must have a snapshot of the user volume.When you rebuild a WorkSpace, it is restored to the most recent image of the bundle that the WorkSpace was launched from. Any modifications made after the WorkSpace was launched from the image (custom system settings, installed applications) are lost.Because automatic snapshots of the D: drive are taken every 12 hours, you might be able to preserve the contents of the D: drive by rebooting the WorkSpace, waiting 12 hours, and then rebuilding the WorkSpace.Note: The file structure of an application installed to the D: drive will be restored, but if it was installed after the Workspace was launched, the application will require reinstallation.To rebuild your WorkSpace, then follow the instructions at Rebuild a WorkSpace.

Related informationAdminister your WorkSpaces
Question: Why am I being billed for Elastic IP addresses when all my Amazon EC2 instances are terminated?

I terminated all my Amazon Elastic Compute Cloud (Amazon EC2) instances, but I'm still billed for Elastic IP addresses. The Amazon EC2 On-Demand pricing page says that Elastic IP addresses are free. Why am I being billed?ResolutionAn Elastic IP address doesn’t incur charges as long as all the following conditions are true:The Elastic IP address is associated with an EC2 instance.The instance associated with the Elastic IP address is running.The instance has only one Elastic IP address attached to it.The Elastic IP address is associated with an attached network interface. For more information, see Network interface basics.Note: If the address is from a BYOIP address pool, then you're never charged for that address.You're charged by the hour for each Elastic IP address that doesn't meet these conditions. For pricing information, see Elastic IP addresses on the Amazon EC2 pricing page.To see the Elastic IP addresses that are provisioned to your account, open the Amazon EC2 console, and then choose Elastic IPs in the navigation pane.If you don’t need an Elastic IP address, you can stop the charges by releasing the IP address.Note: When you release the IP address, it might be provisioned automatically by another AWS account. You might be able to recover that same Elastic IP address again later, but only if no one else is using it.If you receive an error when you try to release an Elastic IP address from your Amazon EC2 instance, see How do I resolve the error "The address with allocation id cannot be released because it is locked to your account" when trying to release an Elastic IP address from my Amazon EC2 instance?Related informationElastic IP addresses
Question: Why does the "blended" annotation appear on some line items in my AWS bill?

I want to understand why some of the line items on my AWS bill have the "blended" annotation on them.

ResolutionFor billing purposes, AWS treats all accounts in an organization as if they're one account. The pricing tiers and capacity reservations of the accounts in the organization are combined into one consolidated bill. Combining the accounts into consolidated billing can lower the effective price per hour for some services.This effective price per hour is displayed as the "blended" rate in your Cost and Usage Reports or AWS Cost Explorer. The blended rate that's shown in the console is for informational purposes only. For more information, see Blended rates and costs.An organization's management account can restrict the pricing benefit of Amazon Elastic Compute Cloud (Amazon EC2) Reserved Instances to the accounts that they’re purchased on. To restrict the pricing benefit of Amazon EC2 Reserved Instances, see Turning off shared Reserved Instances and Savings Plans discounts.

Related informationWhat is AWS Billing?Understanding consolidated bills