This is my stupid mistake. I left SageMaker Canvas running for two weeks, and all my credits saving for 1 year were used up, along with $120 of real money. If there's any way to quickly get some credits to ease the impact of this mistake, I would really appreciate it. Thanks in advance. submitted by /u/kaori176 [link] [comments]

Feeling a bit nervous for this one. I did the tests on TD and the course from Maarek. From the TD exams, ive noticed that my overall understanding of the material is good, but i get stumped on questions that require knowledge on addtional features of a resource. For example, I know what Glue does, but the different type of Glue versions that exist is something i cant just pull out. I hope the exam doesnt try to trick me and is similar in difficulty to the TD exams! Anyway just wanted to blurt my thoughts haha submitted by /u/Curryboi14 [link] [comments]

Also how many questions did you end up going back and verifying? submitted by /u/chewy747 [link] [comments]

Hi everyone, Actually I am thinking of starting a career in cloud computing. So if anyone can guide me which courses and certifications will be the best to get a good job. Moreover I have basic knowledge of Computer Networks, Databases and OS. I have the udemy courses of cloud computing so if anyone has any recommendation regarding udemy pls help me out with that. submitted by /u/Accomplished_Wish475 [link] [comments]

When you study are you taking down copious amounts of notes? Or are you just listening to comprehend and doing the exercises? I’m taking Cantrills course and I’m at 22% after like a few weeks. I feel like maybe I’m taking too many notes. (But I also get distracted at times too) submitted by /u/Clear_Possibility_76 [link] [comments]

submitted by /u/joefsam [link] [comments]

Hi all, When I began preparing for AWS certification and hands-on work as an SDE, I found these concepts particularly challenging as a beginner. It took me a while to develop this simple analogy to understand AWS VPC, Sgs/NACL, Internet/NAT GW, peering, routes etc better. Trust me, it'll help specially newbees: https://medium.com/@abhishekgupta97023/a-simple-office-building-analogy-you-5c1c4c3c273b Suggestions/enhancements/feedbacks are welcomed. Here to contribute back in the community. Few more AWS articles: Preparing for AWS Developer Certificate: https://medium.com/@abhishekgupta97023/aws-developer-associate-study-resources-tips-b1aae78ba275 AWS Deepracer: https://medium.com/@abhishekgupta97023/part-1-aws-deepracer-2023-racing-towards-new-insights-d383f815633e submitted by /u/Ill-Double334 [link] [comments]

You can now create Amazon Managed Streaming for Apache Kafka (Amazon MSK) provisioned clusters running on AWS Graviton3-based M7g instances or upgrade your existing x-86 based based M5 or T3 instances and replace them with AWS Graviton3-based M7G instances with a single click of a button in the Europe (London) AWS Region. AWS Graviton3 processor based M7G instances on Amazon MSK provisioned clusters allows you to achieve up to 24% compute cost savings and up to 29% higher write and read throughput over comparable MSK clusters running on M5 instances. Additionally, these instances lower energy consumption by up to 60% than comparable instances, making your Kafka clusters more environmentally sustainable. Please refer to our blog for more information on the price/ performance improvements of M7g instances and the Amazon MSK pricing page for information on pricing. To get started, you can update your existing clusters to M7G brokers using the AWS Management Console, and read our developer guide for more information.  

Corretto 23 is now available for download. Amazon Corretto is a no-cost, multi-platform, production-ready distribution of OpenJDK. Corretto 23 is an OpenJDK 23 Feature Release, which will be supported through April, 2025. OpenJDK 23 introduces enhanced performance with updates to the Z Garbage Collector and Vector API, along with improved JIT compilation for faster code execution. Additionally, it brings expanded pattern matching and switch expression capabilities for more concise and expressive coding. For more information about the features in OpenJDK 23, a detailed description can be found on its Project page. Amazon Corretto is distributed by Amazon under an open source license. Click on the Corretto home page to download Corretto 23. You can also get the updates on your Linux system by configuring a Corretto Apt or Yum repo.  

New minor versions of Microsoft SQL Server are now available on Amazon RDS for SQL Server, providing performance enhancements and security fixes. Amazon RDS for SQL Server now supports these latest minor versions of SQL Server 2016, 2017, 2019 and 2022 across the Express, Web, Standard, and Enterprise editions. We encourage you to upgrade your Amazon RDS for SQL Server database instances at your convenience. You can upgrade with just a few clicks in the Amazon RDS Management Console or by using the AWS CLI. Learn more about upgrading your database instances from the Amazon RDS User Guide. The new minor versions include: SQL Server 2016 - 13.00.6445.1 SQL Server 2017 - 14.00.3475.1 SQL Server 2019 - 15.00.4390.2 SQL Server 2022 - 16.00.4140.3 These minor versions are available in all AWS commercial regions where Amazon RDS for SQL Server databases are available, including the AWS GovCloud (US) Regions. Amazon RDS for SQL Server makes it simple to set up, operate, and scale SQL Server deployments in the cloud. See Amazon RDS for SQL Server Pricing for pricing details and regional availability.

I’m scheduled to take the exam this Friday, Sept. 20th. Wish me luck! submitted by /u/Mattsolo7_99 [link] [comments]

Hello everyone, I am a student with moderate AWS knowledge (used for some projects / one internship) and am thinking about getting some certifications before I start applying for my final internship cycle. My initial plan was to skip the CCP (100$) and go straight to SAA (150$), however I read that doing the CCP first will give you 50% off on your next certification. So technically I would be paying an extra 25$ (100$ + 75$) only if I were to not skip the CCP. So my question is 1. If I were to start with the AI practitioner (beta) course (75$) first would it also give me 50% off my next certification cheaper than the rest and beta? This question has been asked before but would you personally take the CCP exam for an extra of 25$? submitted by /u/PaperFishh [link] [comments]

Finally took my first certification in AWS. It was a great experience. I did gone through the official preparation guides and that was helpful. 🎉 submitted by /u/sonuchauhan1597 [link] [comments]

Do you think for above question the solution is correct ? I don’t think transition from Standard to Glacier is possible within 90/180 days ? Am I missing something ? submitted by /u/sanman_007 [link] [comments]

I have watched John Savill's AZ-104 study cram v2 video, very good! Explain and connect all the key points in a very organized way in one 4 hours' video. Just wonder whether there is a similar video for AWS Certified Sysops Administrator - Associate Certification on you tube. submitted by /u/IpadWriter [link] [comments]

Well I have a little IT experience, but its mostly from college courses and help desk level stuff. I passed the Cloud Practitioner Certification a few months ago and thought I would give Solutions Architect a shot. Prior to passing the CCP exam, I had no AWS experience at all. Through my college courses, I had the AWS Academy Cloud Architecting course unlocked. I went through most of the material and completed the final exam for the Academy course. I then bought Stephane Maarek's course on Udemy. I sat down and went through everything, completed all of the practice exams and did well on the final practice exam. I also bought Tutorial Dojos practice exams and completed most of the exams. I received around a 70% on my practice exam and then went back over more of the material from Stephane Maarek's course. My final score was 784. I didn't come out of the exam feeling great about my score so I was relieved that I passed. I'm not sure where to go from here. I'm in contact with a Solutions Architect recruiter from Amazon so I'll see where that takes me. Either way, I'm happy to have this certification out of the way. Good luck to all those trying to pass this exam. Its not an easy one, but with lots of practice exams and patience you can pass this exam! submitted by /u/rhawk87 [link] [comments]

I have an operations, middleware, system administration and infrastructure background. I am currently an SRE that also support some platform engineering tasks. I plan to remain on the SRE track. I have AWS CCP cert, have completed several personal projects on AWS cloud and work daily on AWS. I’m leaning more towards AWS SysOps (SOA) certification. I understand the exam selection all depends on my career path and what I plan to achieve by taking the exam. I think SOA is the correct exam. Looking for advice or opinions as to which AWS certification to pursue. submitted by /u/Think-Perception1359 [link] [comments]

Firstly, thank you to everyone who read my previous post about My Road to Amazon Web Services (AWS) Certified AI Practitioner Certification! Your support and feedback were incredibly motivating, and I'm grateful for this amazing community. 🙏 Now, I’m excited to announce that my first Udemy course on the AWS Certified AI Practitioner exam is live and absolutely FREE! 🎉 Since Udemy now limits free courses to 2 hours, I’ve split the course into two parts: 🎥 Part 1: Enroll here 🎥 Part 2: Enroll here Feel free to check them out, and I’d love to hear your thoughts and feedback! Let’s keep learning and growing together! submitted by /u/Prashant-Lakhera [link] [comments]

Went through the details of both the certifications, but not sure what to pursue. This is my first time taking up a AWS cloud certification and I have a foundation knowledge of Oracle cloud. A bit about me, so I am a developer who primariliy work with backend systems < 2 years of exp. I could see Solutions Architect being more of a wide spread about the AWS services while developer is targeted towards development, deployment, troubleshooting and optimization of applications. Also the dev associate requires 1 year exp of deploying applications using AWS. Since I have no exp with using AWS services, would you recommend taking up the associate certs? EDIT: Thank You All for your suggestions, I would go to SAA first and then Developer Associate after, first breadth then depth. submitted by /u/blazkoblaz [link] [comments]

submitted by /u/pastamuente [link] [comments]

I'm interested in pursuing one or more AWS certs. Any recommendations besides CLF-002? My background - Some law enforcement and security operations (irrelevant) - MS Cybersecurity - 2 years federal cybersecurity experience - Security+ and CISSP - Beginner/intermediate skill in C++ and Python submitted by /u/Mobile_Discussion105 [link] [comments]

AWS CodeBuild now supports managed GitLab self-hosted runners. Customers can configure their CodeBuild projects to receive GitLab CI/CD job events and run them on CodeBuild ephemeral hosts. AWS CodeBuild is a fully managed continuous integration service that compiles source code, runs tests, and produces software packages ready for deployment. This feature allows GitLab jobs to integrate natively with AWS, providing security and convenience through features such as IAM, AWS Secrets Manager, AWS CloudTrail, and Amazon VPC. Customers can access all compute platforms that CodeBuild offers, including Lambda, GPU-enhanced and Arm-based instances. CodeBuild's integration with GitLab runners is available in all regions where CodeBuild is offered. For more information about the AWS Regions where CodeBuild is available, see the AWS Regions page. Get started by setting up webhooks in a CodeBuild project, and updating your GitLab CI YAML to use self-managed runners hosted on CodeBuild machines. To learn more about runners powered by CodeBuild for GitLab or GitHub, see CodeBuild’s documentation for self-hosted runners in AWS CodeBuild.

Amazon S3 Express One Zone now supports server-side encryption with AWS Key Management Service (SSE-KMS) using customer managed keys. By default, S3 Express One Zone encrypts all objects with server-side encryption using S3 managed keys (SSE-S3). With S3 Express One Zone support for customer managed keys, you have more options to encrypt and manage the security of your data. S3 Bucket Keys are always enabled when you use SSE-KMS with S3 Express One Zone, at no additional cost. With customer managed keys, you can set key policies that govern which IAM roles can decrypt your data and see a full accounting in AWS CloudTrail of the specific keys used to encrypt and decrypt your data. In addition, with S3 Bucket Keys, KMS generates a bucket-level key instead of an individual KMS key for each KMS encrypted object. S3 Express One Zone uses this bucket key to secure unique data keys that are used to encrypt objects in a bucket, avoiding the need for additional KMS requests to complete encryption operations. This results in reduction of request traffic to KMS, allowing you to access encrypted objects in S3 Express One Zone at a fraction of the cost while maintaining the same single-digit millisecond data access. S3 Express One Zone support for SSE-KMS using customer managed keys is available in all AWS Regions where the storage class is available. Get started with KMS for S3 Express One Zone by using the S3 console, AWS CLI, or AWS SDKs to specify the customer managed key for your S3 directory bucket. To learn more, visit the S3 User Guide and AWS News Blog.

Today, AWS announces the general availability of the AWS SDK for Swift, the official AWS solution for accessing Amazon Web Services from applications built with the Swift programming language. Customers can now use AWS SDK for Swift for production workloads. AWS SDK for Swift provides a modern, user-friendly, and native Swift interface for accessing Amazon Web Services from Apple platforms, AWS Lambda, and Linux-based Swift on Server applications. Swift is the modern language of choice for developing natively on Apple devices, and is also widely used on Linux for server and utility purposes. AWS SDK for Swift fully embraces modern Swift language features and provides access to AWS services with an interface that will feel natural to the Swift developer community. The SDK supports features like Swift structured concurrency, binary data and event streaming, waiters and paginators, automatic retries, and flexible HTTP client options. The AWS SDK for Swift provides everything a developer needs to fully integrate their application with their AWS services. To get started, see the following list of resources: AWS SDK for Swift Developer Guide AWS SDK for Swift Blog post  Source Code - AWS SDK for Swift GitHub repo

Hi all, I had my AWS Solutions Architect Professional exam today. I was taking the exam from home as there is no exam center nearby. I was stuck on this step during my check-in (Please refer to the screenshot) for crazyyy 30 mins. I was panicking and called the Support team and they created a ticket and gave me the Case number. The representative told me to wait for 2-3 days and reach out to us when the case will be resolved. She said it was because of the technical issue on their end and not because of my internet connection. I am very stressed: 1. I wasn't able to sit for the exam, 2. Why they need to take 2-3 days to resolve such an issue. 3. Not sure what's gonna happen will they allow me to reschedule it or cancel my exam. Please share if anyone had such an experience before. It will be very helpful. Thanks a ton! https://preview.redd.it/iss09mhy7fpd1.png?width=1919&format=png&auto=webp&s=5d21fdc169999423cdacbb6f75a3ba726966ffb6 submitted by /u/Spirited-Tree7538 [link] [comments]

AWS Elastic Disaster Recovery (AWS DRS) now supports recovery to AWS Local Zones. This feature allows you to set your recovery target to be within an AWS Local Zone. AWS DRS minimizes downtime and data loss with fast, reliable recovery of on-premises and cloud-based applications using affordable storage, minimal compute, and point-in-time recovery. With this release, customers can launch recovered instances in a geography closer to their end users and data sources, which means lower latency and maintenance of data residency. This new capability adds support for all AWS Local Zones that are available in AWS Regions where AWS DRS is available. See the AWS Regional Services List for the latest availability information. To learn more about AWS DRS, visit our product page or documentation. To get started, sign in to the AWS Elastic Disaster Recovery Console.  

AWS Transfer Family announces higher performance limits for SFTP connectors, with maximum supported file size increased to 150 GB and maximum throughput increased to 100 files per second. SFTP connectors provide fully managed and low-code capability to copy files between remote SFTP servers and Amazon S3. With today’s enhancements, customers can use connectors to easily scale workflows such as media files processing and database migrations that involve transferring large volume of files or larger file sizes over SFTP. Additionally, customers can achieve higher performance using SFTP connectors with remote SFTP servers that support concurrent sessions Increased limits for SFTP connectors are available in all AWS Regions where the service is available. To learn more about SFTP connectors, visit the documentation. To get started with Transfer Family’s SFTP offerings, take the self-paced SFTP workshop.  

Amazon Keyspaces (for Apache Cassandra) is a scalable, serverless, highly available, and fully managed Apache Cassandra-compatible database service that offers 99.999% availability. Today, Amazon Keyspaces added the capability to add columns to existing multi-Region tables. With this launch, you can modify the schema of your existing multi-Region tables to add new columns. You only have to modify the schema of a multi-Region table in one of its replica regions and Keyspaces will replicate the new schema to the other regions where the table exists. Adding columns to multi-Region tables gives you the flexibility to update your data model seamlessly as your business and application needs evolve over time. Support for adding columns to multi-Region tables is available in all commercial AWS Regions where AWS offers Amazon Keyspaces. If you’re new to Amazon Keyspaces, the Getting Started guide shows you how to provision a Keyspace and explore the query and scaling capabilities of Amazon Keyspaces.  

Today, AWS announces the release of Neuron 2.20, introducing Neuron Kernel Interface (NKI) (beta), a programming interface for AWS Trainium and Inferentia, enabling developers to build optimized compute kernels for new functionalities, optimizations, and science innovations. Additionally, this release introduces NxD Training (beta), a PyTorch-based library enabling efficient distributed training, with a user-friendly interface compatible with NeMo. This release also introduces support for the JAX framework (beta). AWS Neuron is the SDK for AWS Inferentia and Trainium based instances purpose-built for generative AI. Neuron integrates with popular ML frameworks like PyTorch. It includes a compiler, runtime, tools, and libraries to support high performance training and inference of AI models on Trn1 and Inf2 instances. This release adds support features and performance improvements for model training and inference. For training, this release adds Llama 3.1 8B and 70B models support up to 32K sequence length, along with torch.autocast() for native PyTorch mixed precision support and PEFT LoRA techniques. For inference, Neuron 2.20 adds support for Llama 3.1 (405b, 70b, 8b) and Diffusion-Transformers (DiT) models like Pixart-alpha and Pixart-sigma. Additionally, this release adds inference support with top-p sampling on device and 128K context length with Flash Decoding. This release also adds support for Rocky 9.0 operating system and RMSNorm and RMSNormDx operators in the Neuron Compiler. For more information, see Neuron Release Notes.

AWS Amplify now supports asynchronous AWS Lambda invocations from your AWS AppSync API. This new feature allows you to invoke Lambda functions asynchronously, enabling your API to handle more complex, long-running processes without blocking the response to the client. With asynchronous Lambda invocations, developers can initiate operations like generative AI model inferences, batch processing jobs, or message queuing without blocking the GraphQL API response. This improves application responsiveness and scalability, especially for scenarios where immediate responses are not required or where long-running tasks need to be offloaded. The asynchronous Lambda invocation feature for AppSync is available in all AWS regions supported by AWS AppSync. In AWS Amplify, customers can opt in by defining an async function handler in their data schema. To learn more, refer to the Amplify documentation.  

AWS Chatbot now enables customers to interact with Amazon Bedrock agents from Slack and Microsoft Teams chat channels. Prior to today, customers had to implement their own ad-hoc ways to integrate their Bedrock agents with their Microsoft Teams and Slack. They needed to develop custom chat applications and integrate it with Bedrock agents. Now with this launch, they can invoke their Bedrock agents from chat channels by connecting the Bedrock agent alias with an AWS Chatbot channel configuration. Once connected, channel members can start using the agent by tagging the agent such as “@aws ask connectorname ...”. AWS Chatbot support for Amazon Bedrock agents in chat applications is available at no additional cost in all AWS Regions where AWS Chatbot is offered. To learn more, visit the Connect Amazon Bedrock agents documentation page.

Today, AWS launched volume discount pricing for AWS Elemental MediaConvert, providing customers with on-demand pricing which scales down as usage of the service goes up. Volume discount pricing takes effect during the September, 2024 billing cycle. With on-demand volume discount pricing, you can save up to 75% off list prices based on your monthly usage. During each monthly billing cycle, your usage will automatically flow through increasingly discounted rates which correspond to usage thresholds of MediaConvert. Basic Tier and Pro Tier usage accrue separately to meet volume discount thresholds each month per region, and each billing cycle restarts the accumulation of usage towards these thresholds. Volume discount pricing is applied automatically to list prices for MediaConvert on your monthly bill - there is no action required on your part and no change to the AWS Management Console, AWS CLI, or AWS SDKs. For more information about the AWS Regions where MediaConvert is available, see the AWS Region table. To learn more about volume discount pricing, including the thresholds and examples of billing scenarios, please refer to the pricing page and the user guide documentation.

Back in 2018, I passed the SAA-01 (935 score) and the DevOps Pro exam after doing an Udemy course. They are obviously expired now and I was thinking to recertify the SAA at least. I tried 2 timed tests on tutorialsdojo and scored 72.5% and then 84% after I read up on what AWS Macie and Lake formation does - I work with AWS daily but never used those. I'm tempted to just schedule an exam and go for it. submitted by /u/Ugghart [link] [comments]

Perception of the exam: 50% focused on AI (half seemed to cover AI theory, and the other half was about Bedrock approaches). 40% on ML, mostly MLOps with SageMaker. This was surprising, as I didn’t expect so many SageMaker questions. 10% on Governance, Policy, and Security (for AI/ML). I expected more questions on other AWS services, but only had about five (2 on S3, 1 on OpenSearch, 1 on AWS Config, and 1 on IAM). The rest were on Bedrock and SageMaker. Since it's a beta, some questions lacked detail, making two options seem valid or, in one case, none were correct due to a simple "typo." The questions were straightforward with little text, similar to the Cloud Foundational exam. No new question formats like Ordering or Matching Questions appeared. Knowledge base: I had prior experience in ML projects, specifically MLOps, and had worked with both SageMaker and Bedrock environments. However, I lacked a deep understanding of AI/ML theory. Mareek's prep courses were highly valuable, with about 80% relevance to the exam content. Paul Singh’s Generative AI for Cloud Solutions greatly expanded my knowledge in LLMs, NLP, and Fine-tuning. Even though it leans toward ChatGPT and Azure, the fundamentals apply across cloud platforms. Special thanks to u/madrasi2021 for the AWS AI Practitioner (AIF) resources post. I used it two days before the exam as a review, and it helped a lot—highly recommended for those preparing. Final thoughts: I already have Associate and Professional certifications, so I took this exam more to assess my knowledge than for certification benefits. The exam fee was only $75, and with a 50% discount, I paid around $37. Plus, the Early Adopter badge is awesome, so I thought, why not? I scored 820. I expected around 900 and am curious about what I got wrong, but hey, every achievement deserves celebration. Time to enjoy a cold beer and samba with friends! 🍻🍻😆 submitted by /u/LordWitness [link] [comments]

If you're searching for the best AWS training in Bangalore that guarantees top-notch placement support, look no further than Eduleem School of Design and IT. As a proud alumnus, I can confidently say this is the best AWS training institute in Bangalore. The course covers everything from AWS fundamentals to advanced AWS solutions architecture, making sure you're job-ready from day one. What sets Eduleem apart? Comprehensive curriculum designed by industry experts. Hands-on labs to gain real-world AWS experience. 100% placement support, helping you secure jobs in top companies. Certifications that are recognized globally. Whether you're a beginner or a professional looking to advance your skills, this is by far the best AWS course in Bangalore. Their AWS training in Bangalore is truly unmatched when it comes to preparing you for a successful career in cloud computing. Feel free to ask me more details, or you can check out the course on Eduleem's website!. Ready to level up your skills? Join the new batch starting soon... AWS #CloudComputing #Bangalore submitted by /u/KaleidoscopeFun2482 [link] [comments]

Hi all, When I began preparing for AWS certification and hands-on work as an SDE, I found these concepts particularly challenging as a beginner. It took me a while to develop this simple analogy to understand AWS VPC, Sgs/NACL, Internet/NAT GW, peering, routes etc better. Trust me, it'll help specially newbees: https://medium.com/@abhishekgupta97023/a-simple-office-building-analogy-you-5c1c4c3c273b Suggestions/enhancements/feedbacks are welcomed. Here to contribute back in the community. Few more AWS articles: Preparing for AWS Developer Certificate: https://medium.com/@abhishekgupta97023/aws-developer-associate-study-resources-tips-b1aae78ba275 AWS Deepracer: https://medium.com/@abhishekgupta97023/part-1-aws-deepracer-2023-racing-towards-new-insights-d383f815633e submitted by /u/Ill-Double334 [link] [comments]

Can we configure a SNS so that every notification going out of it has certain message attributes attached to it..? For ex: A sqs subscribed to that SNS will always receive certain values as part of the message attributes that it receives from SNS.. submitted by /u/CasualComet_ [link] [comments]

First, big thanks to AIF resources for painting the landscape. Everything I used are on that page. Specifically (and unsurprisingly), Stephane's Udemy course and practice exams This past weekend's updates (in the course and the exams) were crucial Skillbuilder practice questions TD's practice questions (and I love their review mode) submitted by /u/woojay [link] [comments]

I am now AWS Certified Data Engineer on first attempt submitted by /u/vikky26 [link] [comments]

This is sort of an update as this is my 2nd attempt at SAP. In my post where I failed, I rightly got pilloried by everyone for rushing (I had half the time left) and deleted it out of sheer embarrassment. Lessons learnt though. It's been a while since that post, I've had a few happenings going on outside of AWS and this is the first opportunity to retake. No rushing this time, I did some breathing exercises before and during, read every question twice and read every answer. I finished with about 30 mins left, which gave me time to go back over the flagged questions and the ones at the start where I'd naturally still be warming up. I would say 10-15 questions were questions that you would see on an Associate exam, 5-10 I had no clue about and had to go back to, and the rest were challenging and required thoughtful consideration of all the answers. The questions had long scenarios with many conditions, the answers were also long with multiple services. You won't be tested on the millisecond write speed of DynamoDb Global Tables. But you might be tested on how to migrate an on-prem db from a site with poor data speeds and then make sure that the database is regionally resilient, choosing the correct option that's the simplest way to achieve what you want. I heard it from some guy down the pub who says he had a drink with someone who knows a guy who lives next door to an SME. Their brother said that AWS is moving away from trick questions, or rather trick answers. But who knows? Thanks to Adrian Cantrill and Jon Bonso for an excellent course and testing bank as always. TD's practice exams are great at getting a feel of what AWS' question style is like but for this exam, I don't feel like they quite hit the right level of difficulty or complexity. There have been many threads on what's included, here's my take: ECS - Know how it scales and fails. How it links to ECR and how it can link to other services like the Code suite of tools and ECR. Orgs - Resource sharing, SCPs, multi-account access, consolidated billing, custom CURs, tagging API gateway - integration types, how it scales and fails, how it links to other services like ELB. CloudFront - what can and can't be an origin, how it works Migration from on-prem to cloud & hybrid - Know the 6Rs, the billions (/s) of migration services and what they're used for and not used for, including VM Import/Export Had a few scenarios that included IOT but mostly it was related to Kinesis. I think there were 1 or 2 related to Greengrass Databases - A few scenarios that have you assessing the right solution for migration, or scaling. There were also a few answers that had the db hosted on EC2 which must break some sort of AWS tenet or something. I had maybe 1 or 2 on the following Workspaces AWS Connect Contact Lens Transcribe some other service that I can't remember the name of, knowing how to remove PII from audio recordings. Anyway, I'm off to start studying for DOP now! TLDR: Hard exam is hard submitted by /u/Titus_Oates [link] [comments]

AWS Private Certificate Authority (AWS Private CA) launches General Availability of the Connector for SCEP, which lets you use a managed and secure cloud certificate authority (CA) to enroll mobile devices securely and at scale. Simple Certificate Enrollment Protocol (SCEP) is a protocol widely adopted by mobile device management (MDM) solutions to obtain digital identity certificates from a CA and enroll corporate-issued and bring-your-own-device (BYOD) mobile devices. The Connector for SCEP helps you to reduce your PKI operational costs by using AWS Private CA with SCEP-compatible MDM solutions including, but not limited to, Microsoft Intune and Jamf Pro. The Connector for SCEP is one of three connectors that allow you to use AWS Private CA with Kubernetes, Active Directory, and, now, mobile devices. By using connectors, you can replace your existing CAs with AWS Private CA in environments that have an established native certificate distribution solution. This means that instead of using multiple CA solutions, you can utilize a single private CA solution for your enterprise. The Connector for SCEP is available in AWS Regions where AWS Private CA is available excluding GovCloud and China regions. This feature is offered at no additional charge. You only pay for the AWS Private CAs and the certificates issued from them. To get started, see the Getting started guide or go to the Connector for SCEP console.

Zero-ETL integrations help you derive holistic insights across many applications and break down data silos in your organization, making it simpler to analyze data from different operational databases. Amazon Redshift zero-ETL integrations now support Redshift clusters and Serverless workgroups configured with enhanced VPC routing (EVR). When you use Amazon Redshift enhanced VPC routing, Amazon Redshift forces all COPY and UNLOAD traffic between your warehouse and data repositories through your virtual private cloud (VPC) based on the Amazon VPC service. To learn more and get started with zero-ETL integration, visit the getting started guides for Amazon Redshift. To learn more about enhanced VPC routing on Amazon Redshift, see documentation.

AWS announces Amazon Aurora PostgreSQL Optimized Reads in the AWS GovCloud (US) Regions, a new price-performance capability available on new r6gd and r6id instances that delivers up to 8x improved query latency and up to 30% cost savings compared to instances without it, for applications with large datasets that exceed the memory capacity of a database instance. Optimized Reads uses the local NVMe-based SSD block-level storage available on r6gd and r6id instances to store ephemeral data, reducing the data accesses to/from network-based storage offering improved read latency and throughput. These instances host temporary tables on the local storage (instead of network-based storage), delivering improved query performance for complex queries and faster index rebuild operations. Optimized Reads instances using I/O-Optimized use the local storage to extend their caching capacity. Database pages that are evicted from the in-memory buffer cache are cached onto local storage to speed subsequent retrievals of that data. This delivers up to 8x improved query latency, and enables Amazon Aurora PostgreSQL Optimized Reads with pgvector to increase queries per second for vector search by up to 9x in workloads that exceed available instance memory, accelerating the performance of Machine Learning and Generative AI applications. Customers can get started with Optimized Reads through the AWS Management Console, CLI, and SDK by modifying their Aurora database clusters or creating a new one using r6gd or r6id instances. Optimized Reads is available for Aurora Postgres 14.9 and 15.4. For more information visit our pricing page, and documentation.  

Amazon Redshift announces the general availability of Amazon Q generative SQL in Amazon Redshift Query Editor, an out-of-the-box web-based SQL editor for Amazon Redshift. Amazon Q generative SQL simplifies query authoring and increases productivity by allowing you to express queries in natural language and receive SQL code recommendations. Furthermore, it enables you to get insights faster without extensive knowledge of your organization’s complex database schema and metadata. Amazon Q generative SQL uses generative AI to analyze user intent, query patterns, and schema metadata to identify common SQL query patterns directly within Amazon Redshift, accelerating the query authoring process for users and reducing the time required to derive actionable data insights. It provides a conversational interface where users can submit queries in natural language within the scope of their current data permissions. Generative SQL leverages query history for better accuracy and you can further improve accuracy through custom context, such as table descriptions, column descriptions, foreign key and primary key definitions, and sample queries. Custom context enhances the AI model's understanding of your specific data model, business logic, and query patterns, allowing it to generate more relevant and accurate SQL recommendations. Amazon Q generative SQL in Amazon Redshift is available in the following regions: US East (N. Virginia), US West (Oregon), Asia Pacific (Mumbai), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Europe (Frankfurt), Europe (Paris), and Europe (Ireland) regions. To learn more about pricing, visit the Amazon Q Developer pricing page. See the documentation to get started.

G submitted by /u/Triadfork [link] [comments]

Hi there, I recently completed an AWS cloud security engineering Bootcamp and for some reason I’ve been applying to jobs and not been getting a response. I feel like this is because I do not have any cloud projects on my github. I am looking for people that are willing to collaborate with me on project or anyone that’s willing to do a CV review for me. Please, I’m very passionate about this area, but at the moment would appreciate any help and advice give it. submitted by /u/Putrid-Lingonberry27 [link] [comments]

This is my first post. In case someone is in preps for AWS SA Pro the article will help. https://medium.com/@sabir1p2p/passing-aws-certified-solutions-architect-professional-for-the-3rd-time-thoughts-and-tips-b72fd25f5a6b submitted by /u/Sabir_mustafa [link] [comments]

Amazon Connect now provides AWS CloudFormation for configuring agent hierarchy structures. You can use CloudFormation templates to programmatically deploy Amazon Connect hierarchy levels in a secure, efficient, and repeatable way, reducing the risk of human error from manual configuration. CloudFormation allows you to track changes over time, apply updates in a controlled and automated manner, and includes version controls so you can easy roll back changes if needed. CloudFormation support for agent hierarchies is available in all AWS regions where Amazon Connect is offered. To learn more about Amazon Connect, the AWS cloud-based contact center, please visit the Amazon Connect website.

AWS WAF introduces a new version of Bot Control Managed Rule Group with enhanced features to help customers better manage and protect their web applications from bot activity. This includes: Token reuse detection: Identifies the reuse of WAF tokens across autonomous system numbers (ASNs) and geographic locations, in addition to existing IP-based detection. Customizable sensitivity levels – High, Medium, and Low – enable you to take mitigation actions based on your use cases. For example, customers with mobile users who frequently change IPs may allow higher token reuse, while those with more static applications can enforce stricter controls at lower thresholds. Expanded Bot Categories: 19 new bots, including several verified AI bots, added to various categories. Cloud Service Provider Labels: New labels that allow customers to selectively allow or block traffic from specific cloud service providers. Automated Browser Extension Labels: Labels to detect the presence of browser extensions that assist in web automation, such as Selenium IDE, complementing the existing automated browser signals. Improved CloudWatch Visibility: WAF label is now emitted for each matched rule, enhancing visibility in CloudWatch logs. This change is also included in the new 1.1 versions of the AWS WAF Fraud Control rule groups. AWS WAF Bot Control Managed Rule group is available in all AWS Regions, except the AWS GovCloud (US) Regions and the China Regions. To use the latest versions, you will have to manually change the version number of Bot Control Managed Rule group. To learn more, please review the documentation.

Today, Amazon QuickSight is announcing the general availability of Direct Query feature for its Google BigQuery data source. This launch is an extension of the feature here wherein QuickSight launched BigQuery connector support through SPICE (Super-fast, Parallel, In-memory Calculation Engine). Direct Query mode allows customers to perform near real-time querying of their BigQuery data. The feature doesn’t have a limitation on the number of rows or the data size that could be imported for a dataset. Direct queries also enable customers to extract data directly from BigQuery instead of having to cache it in SPICE. Google BigQuery Direct Query functionality in QuickSight is now available in all supported Amazon QuickSight regions here.