VishaalY/solutions-architect-hf-dataset huggingface dataset:
Question: How do I ingest and visualize the AWS Cost and Usage Report (CUR) into Amazon QuickSight?

I want to ingest the AWS Cost and Usage Report (CUR) from Amazon Simple Storage Service (Amazon S3) into Amazon QuickSight. How do I import and visualize my monthly CUR results?ResolutionYou can ingest and visualize your AWS Cost and Usage Report (CUR) by doing the following:1.    Create a Cost and Usage Report.2.    Authorize QuickSight to access your Amazon S3 bucket.3.    Open the QuickSight console.4.    Choose Manage Data.5.    Choose New Data Set.6.    Choose S3. This opens the Amazon S3 data source dialog box.7.    In the Amazon S3 data source dialog box, enter a data source name.Important: Make sure that you've set the proper permissions for QuickSight to access the S3 bucket. Otherwise, you can't access any data in QuickSight.8.    In the Upload a Manifest field, choose Upload, or enter the URL of your AWS Cost and Usage Report manifest file like this:s3://awscostusagereport-quicksight/report_path_example/QuickSight/AWS_CUR_QS_ReportName-20200601-20200701-QuickSightManifest.jsonReplace the following variables to indicate the S3 folder and JSON file that you created in Step 1:awscostusagereport-quicksight: Your S3 bucketreport_path_example: The CUR Report path prefixAWS_CUR_QS_ReportName: Your CUR Report name20200601-20200701: The date range of your CUR Report9.    Choose Connect. This creates and opens the new dataset.10.    After you create the new dataset, choose Visualize to display all the data fields in your AWS Cost and Usage Report. For more information about the CUR data field definitions, see the Data dictionary.Additional troubleshootingIf you can't find the QuickSight folder under your S3 bucket, try the following:Allow 24 hours before attempting to regenerate the CUR report and manifest file.Verify that you selected QuickSight for the Enable report data integration for field.If you get a "We can't parse the manifest file as a valid JSON" error message, try the following:Check whether you've correctly authorized QuickSight to access your S3 bucket.Verify that the URL of the manifest file that was copied over is located in the QuickSight folder. Each service folder must have its own manifest file.If you have multiple AWS accounts under the same organization, make sure that you have proper access rights from the management account. This report is available only to the management account owner and any users who are granted access by the management account. For more information, see Consolidated billing for AWS Organizations.

Related informationWhat are AWS Cost and Usage Reports?I can't connect to Amazon S3
Question: Why am I not able to see the Amazon CloudWatch metrics for my AWS Glue ETL job even after I enabled job metrics?

I've enabled the option to create job metrics for my AWS Glue extract, transform, and load (ETL) job. However, I can't see the job metrics in Amazon CloudWatch.

Short descriptionAWS Glue sends metrics to CloudWatch every 30 seconds, and the CloudWatch console dashboard is configured to display these metrics every minute. The AWS Glue metrics represent delta values from previously reported values. The metrics dashboard aggregates the 30-second values to obtain a value for the last minute. The job metrics for your job are enabled with the initialization of a GlueContext in the job script. The metrics are updated only at the end of an Apache Spark task. The job metrics represent the aggregate values across all completed Spark tasks.

ResolutionIncrease the run time of your AWS Glue job: The CloudWatch metrics are reported every 30 seconds. Therefore, if the run time of your job is less than 30 seconds, then the job metrics aren't sent to CloudWatch. AWS Glue uses the metrics from Spark, and Spark uses the DropWizard metrics library for publishing metrics. To get the AWS Glue metrics, your job must run for at least 30 seconds. Updating your job to process more data can help increase the run time of your job. However, you can use a temporary workaround to see the job metrics. You can increase the run time of your AWS Glue job by including the function time.sleep() in your job. You can include time.sleep() in your job at the start or end of the code based on your use case.**Important:**Using the time.sleep() function is not a coding best practice.For Python:import timetime.sleep(30)For Scala:Thread.sleep(30)Be sure that the job completed the Spark tasks: Job metrics are reported after the Spark tasks are complete. Therefore, check and confirm that the Spark tasks for your job are completed, and the job did not fail.Be sure that GlueContext is initialized in the job script: The GlueContext class in your job script enables writing metrics into CloudWatch. If you're using a custom script that uses only a DataFrame and not a DynamicFrame, the GlueContext class might not be initialized. This might result in the metrics not getting written to CloudWatch. If you're using a custom script, be sure to update your job to initialize the GlueContext class.Be sure that the AWS Glue IAM role has the required permission: Check and confirm that the IAM role attached to the ETL job has the cloudwatch:PutMetricData permission to create metrics in CloudWatch. If you're using a custom role, then be sure that the role has the permission to write the job metrics into CloudWatch.Note: It's a best practice to use the AWS managed policy AWSGlueServiceRole to manage permissions.

Related informationMonitoring AWS Glue using Amazon CloudWatch metricsJob monitoring and debugging
Question: How do I troubleshoot Application Load Balancer HTTP 403 forbidden errors?

My Application Load Balancer is returning HTTP 403 forbidden errors. How can I troubleshoot this?ResolutionFollow these troubleshooting steps for your scenario.Important: Before you begin, make sure that you have access logging enabled for your Application Load Balancer. For instructions, see Enable access logging.An AWS WAF web access control list (web ACL) is configured to monitor requests to your Application Load Balancer and it blocked a request.The load balancer sends HTTP errors to access logs and increments the HTTPCode_ELB_4XX_Count metric similar to the following:elb_status_code = 403target_status_code = -actions_executed = wafThis means that the load balancer forwarded the request to AWS WAF to determine whether the request should be forwarded to the target. Then, AWS WAF determined that the request should be rejected. To diagnose the rule configuration, review the AWS WAF logs. For more information, see Managing logging for a web ACL.The Application Load Balancer might have a rule configured with a fixed-response action to provide an HTTP 403 response.Check the access logs for a fixed-response action similar to the following:elb_status_code = 403target_status_code = -actions_executed = fixed-responseThis log indicates that the rule configuration has a fixed-response action to provide an HTTP 403 error.The target responded with an HTTP 403 error and the Application Load Balancer is forwarding this response to the client.Check the access logs for 403 entries for values similar to the following:elb_status_code = 403target_status_code = 403If the target_status_code and elb_status_code values match, then the target application sent the HTTP 403 response. To determine why the target application generated the HTTP 403 forbidden error, check with your application vendor. You can also use the X-Amzn-Trace-Id header to trace requests through the Application Load Balancer. For more information, see How do I trace an Application Load Balancer request using X-Amzn-Trace-Id?Related informationTroubleshoot your Application Load BalancersHTTP 403: Forbidden
Question: How do I configure an EC2 Windows instance to allow file downloads using Internet Explorer?

I need to download third-party software from the internet to my Amazon Elastic Compute Cloud (Amazon EC2) Windows instance. The Internet Explorer security configuration is blocking my attempts. How can I enable downloads?Short descriptionAmazon Machine Images (AMIs) for Windows Server enable Internet Explorer Enhanced Security Configuration by default, because web browsing isn't a best practice on a server. Internet Explorer Enhanced Security Configuration disables file downloads using Internet Explorer.If you want to download and install tools from the internet, you can change the security configuration to enable downloads.Note: If you enable downloads on your EC2 Windows instance, be sure to download files only from trusted sources. After you download and install the software, it's a best practice to re-enable Internet Explorer Enhanced Security Configuration.

ResolutionConnect to your EC2 Windows instance.Open the Windows Start menu, and then open Server Manager.Follow the instructions for the Windows Server version that your EC2 Windows instance is running: Windows Server 2012 R2, Windows Server 2016, or Windows Server 2019: Choose Local Server from the left navigation pane. For IE Enhanced Security Configuration, choose On.Windows Server 2008 R2: Choose Server Manager from the navigation pane. In the Server Summary - Security Information section, choose Configure IE ESC.For Administrators, select Off.For Users, select Off.Choose OK.Close Server Manager.Note: The security configuration change takes effect when you open a new Internet Explorer session. If Internet Explorer is already open, open a new tab. Or, close the browser, and then re-open it.

Related informationTutorials for Amazon EC2 instances running Windows ServerTutorial: Get started with Amazon EC2 Windows instances
Question: How do I remove the "clientTransferProhibited" status from my Route 53 domain?

The status of my Amazon Route 53 domain is "clientTransferProhibited". How do I remove this status?Short descriptionThe domain registries for all generic top-level domains (TLDs) and several geographic TLDs provide the option to lock your domain. Locking a domain prevents someone from transferring the domain to another registrar without your permission. If you enable transfer lock for a domain, then the status is updated to "clientTransferProhibited". To remove the status, disable the transfer lock.

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.Open the Route 53 console.In the navigation pane, choose Registered domains.Select the name of the domain that you want to update.For Transfer Lock, choose Disable.Choose Save.Or, you can run the following command in the AWS CLI:aws route53domains disable-domain-transfer-lock \    --region us-east-1 \    --domain-name example.comNote: Be sure to replace the Region and domain name placeholders with your corresponding values.

Related informationLocking a domain to prevent unauthorized transfer to another registrardisable-domain-transfer-lock
Question: How do I set up a Spark SQL JDBC connection on Amazon EMR?

I want to I configure a Java Database Connectivity (JDBC) driver for Spark Thrift Server so that I can run SQL queries from a SQL client on my Amazon EMR cluster.Resolution1.    Download and install SQuirrel SQL Client.2.    Connect to the master node using SSH.3.    On the master node, run the following command to start Spark Thrift Server:sudo /usr/lib/spark/sbin/start-thriftserver.sh4.    Copy all .jar files from the /usr/lib/spark/jars directory on the master node to your local machine.5.    Open SQuirrel SQL Client and create a new driver:For Name, enter Spark JDBC Driver.For Example URL, enter jdbc:hive2://localhost:10001.6.    On the Extra Class Path tab, choose Add.7.    In the dialog box, navigate to the directory where you copied the .jar files in step 4, and then select all the files.8.    In the Class Name field, enter org.apache.hive.jdbc.HiveDriver, and then choose OK.9.    On your local machine, set up an SSH tunnel using local port forwarding:ssh -o ServerAliveInterval=10 -i path-to-key-file -N -L 10001:localhost:10001 hadoop@master-public-dns-name10.    To connect to the Spark Thrift Server, create a new alias in SQuirrel SQL Client:For Name, enter Spark JDBC.For Driver, enter Spark JDBC Driver.For URL, enter jdbc:hive2://localhost:10001.For Username, enter hadoop.11.    Run queries from SQuirrel SQL Client.
Question: How can I update the cross-realm trust principal password for an existing Amazon EMR cluster?

I set up cross-realm trust with an Active Directory domain on a Kerberized Amazon EMR cluster. I need to change the principal password.

ResolutionAmazon EMR creates a krbtgt principal using the cross-realm trust principal password that you specify at cluster launch. This principal is stored in the key distribution center (KDC) on the master node. It looks like this:krbtgt/ADTrustRealm@KerberosRealmTo update the cross-realm trust principal password:1.    Connect to the master node using SSH.2.    Open the kadmin.local tool:sudo kadmin.local3.    List all principals to find the principal that you want to update (for example, krbtgt/MYADDOMAIN.COM@MYEMRDOMAIN.COM):list_principals4.    Run the following command to update the password for the cross-realm trust principal. In the following example, replace krbtgt/MYADDOMAIN.COM@MYEMRDOMAIN.COM with your principal.change_password krbtgt/MYADDOMAIN.COM@MYEMRDOMAIN.COM5.    Exit the kadmin.local tool:exit6.    To confirm that the new password works, obtain a Kerberos ticket for an Active Directory user and then list HDFS files. Example:kinit myaduser@MYADDOMAIN.COMhdfs dfs -ls /tmp

Related informationTutorial: Configure a cross-realm trust with an Active Directory domainCross-realm trustHow can I renew an expired Kerberos ticket that I'm using for Amazon EMR authentication?
Question: How do I create another user with the same privileges as a master user for my Amazon RDS or Aurora DB instance that's running PostgreSQL?

I have an Amazon Relational Database Service (Amazon RDS) or an Amazon Aurora DB instance that runs PostgreSQL. I want another user to have the same permissions as the master user for my DB instance. How do I duplicate or clone the master user?ResolutionA DB instance that runs PostgreSQL has only one master user that is created when the instance is created. However, you can create another user that has all the same permissions as the master user.Note: PostgreSQL logs passwords in cleartext in the log files. To prevent this, review How can I stop Amazon RDS for PostgreSQL from logging my passwords in clear-text in the log files?Important: The rds_superuser role has the most privileges for an RDS DB instance. Don't assign this role to a user unless they need the most access to the RDS DB instance.1.    Create a new user by running the CREATE ROLE command:postgres=> CREATE ROLE new_master WITH PASSWORD 'password' CREATEDB CREATEROLE LOGIN;Note: Replace new_master and password with your user name and password.2.    Grant the role that you created rds_superuser permissions:postgres=> GRANT rds_superuser TO new_master;Note: Replace new_master with your user name.The new user now has the same permissions as the master user.

Related informationCreating RolesMaster User Account PrivilegesHow do I allow users to connect to Amazon RDS with IAM credentials?
Question: How can I verify that authenticated encryption with associated data encryption is used when calling AWS KMS APIs?

How can I verify that authenticated encryption with associated data encryption is used when calling AWS Key Management Service (AWS KMS) Encrypt, Decrypt, and ReEncrypt APIs?Short descriptionAWS KMS provides an encryption context that you can use to verify the authenticity of AWS KMS API calls, and the integrity of the ciphertext returned by the AWS Decrypt API.

ResolutionTo verify the integrity of data encrypted with the AWS KMS APIs, you pass a set of key-value pairs as an encryption context during AWS KMS encryption, and again when you call the Decrypt or ReEncrypt APIs. If the encryption context that you pass to the Decrypt API is identical to the encryption context that you pass to the Encrypt or ReEncrypt APIs, the integrity of the ciphertext returned is protected.To learn more about using encryption context to protect the integrity of encrypted data, see the AWS Security Blog How to protect the integrity of your encrypted data by using AWS KMS and EncryptionContext.
Question: How do I configure geoproximity routing using the Route 53 console?

I want to configure geoproximity routing using the Amazon Route 53 console.

Short descriptionGeoproximity routing allows Amazon Route 53 to route traffic based on the geographic location of users and resources. Using an element called bias, you can optionally increase or decrease the size of a geographic area.Note: You must use Route 53 traffic flow to use a geoproximity routing policy.

ResolutionCreate a traffic policy with geoproximity routingCreate a traffic policy.For Start point, choose the desired record type, such as A or MX.For Connect to, choose Geoproximity rule.Choose your Endpoint Location. If you choose Custom, you must enter the location’s latitude and longitude Coordinates. Otherwise, choose the Amazon Elastic Compute Cloud (Amazon EC2) Region where your endpoint is located, such as US East (N. Virginia).(Optional) For Bias, enter the desired bias value. Choose Show geoproximity map for a visual representation of the effects the bias that you're configuring.(Optional) Under Health checks, select or clear Evaluate target health. Then, select a health check to associate with the record.For Connect to, choose New endpoint.For Type, choose Value.For Value, enter the IP address of your endpoint.For each additional endpoint, choose Add another geoproximity location, and then repeat steps 4-9.Choose Create traffic policy.(Optional) Create a policy recordUsing a policy record, you can route traffic from the internet to the resources specified in your traffic policy. When you create a policy record, you specify the traffic policy to use and the hosted zone where it's created. For more information, see Creating policy records.(Optional) Test your geoproximity routing policyTo test the DNS response using the Route 53 console, see Checking DNS responses from Route 53.Important: Amazon Route 53 uses the edns-client-subnet extension of EDNS0 to improve the accuracy of the responses returned.For Amazon Route 53 to use EDNS0 when making routing decisions, the resolver used to perform the query must support EDNS0.If the resolver doesn't support EDNS0: The IP address of the resolver is used to make a routing decision.If the resolver supports EDNS0: A truncated version of the client IP address making the original request is passed to Amazon Route 53 and used to make a decision.When testing how Route 53 is responding to geoproximity queries, you must determine if the resolver supports EDNS0. For more information, see How can I determine if my public DNS resolver supports the EDNS Client Subnet extension?
Question: How can I override the default error handling in Amazon Lex?

I want to modify the default error handling of my Amazon Lex bot. How can I do this?Short descriptionAmazon Lex offers default error handling in the form of predefined prompts. But by using the fallback intent, you can get a greater level of control over how your bot reacts to situations where user input isn't matched. You can use the fallback intent to manage the conversation flow, use business logic, or handover your bot conversations to a human agent. You can also design the fallback intent to trigger an AWS Lambda function, and provide responses.

ResolutionConfigure fallback intent using the Amazon Lex V1 consoleNote: If you want to switch from the Amazon Lex V2 console to the Amazon Lex V1 console, from the navigation pane, choose Return to V1 console.Open the Amazon Lex V1 console, and then choose the bot that you want to configure fallback intent for.From the Intents section, choose the + sign.Search for AMAZON.Fallback in the existing intents.Enter a name for the built-in intent, and then create the intent.Optionally, you can add a Lambda function in the fulfillment code hook of the newly created fallback intent. This triggers the Lambda function when the fallback intent is fulfilled.Note: You can add a fallback intent by adding the built-in AMAZON.Fallback intent type to your bot using the console. You can also specify the intent using the PutBot operation or choose the intent from the list of built-in intents in the console. Configure fallback intent using the Amazon Lex V2 consoleOpen the Amazon Lex V2 console, and then choose the bot that you want to configure fallback intent for.From the Language section, under the specific language that your bot uses, choose intents.Choose Fallback intent.Optionally, enable a Lambda function for fulfillment using the advanced options for fulfillment. To use a specific Lambda function, attach the function to your bot alias. The same Lambda function is used for all intents in a language supported by the bot.Note: The built-in AMAZON.Fallback intent type is added to your bot automatically when you create a bot using the console. If you use the API, then specify the intent using the CreateBot operation.You can't add these items to a fallback intent:UtterancesSlotsConfirmation prompts

Related informationConfiguring fulfillment progress updatesUsing an AWS Lambda functionAMAZON.FallbackIntent
Question: Why can't I connect to my S3 bucket using interface VPC endpoints?

I can't connect to my Amazon Simple Storage Service (Amazon S3) bucket using interface Amazon Virtual Private Cloud (Amazon VPC) endpoints. How can I troubleshoot this?Short descriptionTo troubleshoot this error, check the following:Verify the policy associated with the interface VPC endpoint and the S3 bucket.Verify that your network can connect to the S3 endpoints.Verify that your DNS can resolve to the S3 endpoints IP addresses.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.

ResolutionVerify the policy associated with the interface VPC endpoint and the S3 bucketBy default, an S3 bucket doesn't have a policy associated with it when you create a bucket. A policy associated with an S3 interface endpoint during the time of creation allows any action to any S3 bucket by default. For information on viewing the policy associated with your endpoint, see View your interface endpoint.Verify that your network can connect to the S3 endpointsCheck connectivity between the source and the destination. For example, check the network access control list (ACL) and the security group associated with the S3 interface endpoints to confirm that traffic is allowed to the interface endpoint.Use the following telnet command to test connectivity between the AWS resource or from an on-premises host and the S3 endpoint. In the following command, replace S3_interface_endpoint_DNS with the DNS of your S3 interface endpoint.telnet bucket.S3_interface_endpoint_DNS 443Trying a.b.x.y...Connected to bucket.vpce-0a1b2c3d4e5f6g-m7o5iqbh.s3.us-east-2.vpce.amazonaws.comYou can also test telnet connectivity using a test Amazon Elastic Compute Cloud (Amazon EC2) instance. Test the connectivity in the subnet where you have the endpoint from the source (on-premises host or another instance) to verify that layer 3 connectivity exists from the source to the destination AWS resource. Make sure that you use the same security group in the test instance that's associated with the S3 interface endpoint. Testing this connectivity helps to determine if the issue is with the security group or the network ACL.Verify that the DNS can resolve to the S3 endpointsMake sure that you can resolve the interface endpoint DNS from the source. You can use tools such as nslookup, dig, and so, on to do this. The following example uses dig. In the following command, replace S3_interface_endpoint_DNS with the DNS of your S3 interface endpoint.dig *s3_interface_endpoint_DNS@local_nameserverNote: Amazon-provided DNS server is the .2 IP address of the VPC CIDR. Your on-premises host is the local name server of the host listed in the /etc/resolv.conf file.

Related informationAccessing buckets and S3 access points from S3 interface endpoints