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

I am currently working as an AWS Administrator, mostly providing IAM access and helping project teams with resource provisioning. I also handle compliance tasks and fix security issues. I’ve created simple automation scripts using Lambda + Boto3 for minor tasks. I’ve worked on VPC setup and cross-account migrations. However, I don’t use Infrastructure as Code (IaC) tools like CloudFormation or Terraform in my current job. I had learned Terraform out of personal interest about 2 years ago, but I’ve forgotten most of it now. Is the experience I'm gaining still relevant in the current job market? What should I focus on to improve my expertise and land a better role? If anyone knows a good online course or learning path, please share. submitted by /u/Negative-Ad-7848 [link] [comments]

submitted by /u/Bitter_Tradition9765 [link] [comments]

As the title states, does having any associate level aws certification in general makes you stand out for university application? Or it is just a nice-to-have for your portfolio. (maybe for a normal university, not considering like top tier university) any opinion is appreciated !! submitted by /u/klisjkck [link] [comments]

Hi everyone, I’m currently taking an AWS Training course through AWS Educate. I’ve already completed Domain 1 and Domain 2 of solution architect associate (SAA-C03-english) fully. For Domain 3 and Domain 4, I have finished watching all the videos and completed every module. Despite this, the course still shows as incomplete on my dashboard. This is concerning because it might affect my eligibility to claim the free certification voucher from AWS Educate, which requires the course to be marked as complete. Anyone facing same issue? https://preview.redd.it/4uq77x1cx5cf1.png?width=1739&format=png&auto=webp&s=d39d74dea23c0e16f0b276ed25743cdf9f7b2a66 https://preview.redd.it/ous9xinhx5cf1.png?width=1890&format=png&auto=webp&s=752833455f0108fd1e3d40a7fea28a8d80f74a29 submitted by /u/Adityaji7 [link] [comments]

Amazon SageMaker HyperPod now supports deploying both open-weights foundation models from Amazon SageMaker JumpStart and your own fine-tuned models from Amazon S3 and Amazon FSx directly to Amazon SageMaker HyperPod. This enables you to seamlessly train, fine tune, and deploy models on the same HyperPod compute resources, maximizing resource utilization across the entire model lifecycle In a few quick steps, you can choose an open-weights foundation model from SageMaker JumpStart and quickly deploy it on your SageMaker HyperPod cluster. SageMaker automatically provisions the infrastructure, deploys the model on your cluster, enables auto-scaling, and configures the SageMaker endpoint. SageMaker scales the compute resources up and down through HyperPod task governance as the traffic on model endpoints changes, and automatically publishes metrics to the HyperPod observability dashboard to provide full visibility into model performance. You can deploy models from SageMaker JumpStart in all AWS Regions where HyperPod is available: US East (N. Virginia), US West (N. California), US West (Oregon), Asia Pacific (Mumbai), Asia Pacific (Singapore), Asia Pacific (Sydney), and Asia Pacific (Tokyo), Europe (Frankfurt), Europe (Ireland), Europe (London), Europe (Stockholm), and South America (São Paulo). To learn more, visit SageMaker HyperPod webpage, blog, and documentation.

For context: I passed 4 AWS exams in 2020-2021: Cloud Practitioner, Developer Associate, SysOps Associate, and the big one, AWS DevOps Pro. I studied for these while I was working the night shift at a service desk (I've since been promoted). My certs expired in 2024 (real life gets in the way). So while I could probably still boast my past AWS certifications, I figured that I should at least stay "AWS current" with an "easier" certification to renew. I figured that the Developer Associate is something that I can renew every few years. I bought the Jon Bonso practice exams and did them over and over again until I was scoring 80-90. I'd say that the real exam was a lot tougher than the practice exams. It was certainly harder than the exam I took 5 years ago. I'd even say that it touched close to the AWS DevOps Pro exam that I took in 2021 in terms of how hard it was. The sentence structures were quite different. There was even brand new terminology that I didn't recognize. Perhaps that is my fault for skipping over reading the AWS Whitepapers. And I probably could have done a lot more hands-on labs--all I do in AWS at work is login to the console to launch ec2 instances, create AMIs, make snapshots, or troubleshooting security groups from time to time. I was certain that I had failed the exam, but I got a score of 790. 5 years ago, I scored 814. For AWS DevOps Pro, I scored 775. While it's not exactly DOP in terms of achievement, I still think this is my most satisfying "win" as far as certifications go. I am certain that AWS constantly rephrases their questions and there is nothing stopping them from using AI to rewrite the same questions and answers in order to implement anti-braindump measures. If these certificates were so easy to obtain, then everyone and anyone could get them, and their value would be worthless. I did pretty good today for an old guy (51). I think I am going to have a beer. submitted by /u/hitfan [link] [comments]

Today, AWS announces remote connection from Visual Studio Code to Amazon SageMaker Studio development environments, enabling AI developers to use Visual Studio Code with SageMaker AI’s scalable compute resources. This new capability enables developers to connect from Visual Studio Code to SageMaker Studio in minutes instead of hours, enabling them to rapidly scale their model development. SageMaker Studio offers a broad set of fully managed cloud interactive development environments (IDE), including JupyterLab and Code Editor based on Code-OSS (VS Code - Open Source). Starting today, you can use your customized local VS Code setup, including AI-assisted development tools and custom extensions, while accessing SageMaker AI’s compute resources and your data. You can authenticate using the AWS Toolkit extension in VS Code or through SageMaker Studio's web interface. Once authenticated, connect to any of your SageMaker Studio development environments in a few simple clicks. You maintain the same security boundaries as SageMaker Studio’s web-based environments while developing AI models and analyzing data in Visual Studio Code. This feature is now available in US East (Ohio) Region. To learn more, see the following resources: Amazon SageMaker Studio webpage AWS ML Blog Documentation

Just wanted to share that I passed my SAA-C03 this afternoon. The result was delivered couple hours after my exam. My background : Software Engineer with 6+ years of experience. AWS experience with S3, EKS, ECS and some Aurora and Opensearch. Talking about my prep, this was extremely short window and included very intense work on my part. This community helped massively to Introduce me to Stephane Mareek's course and Tutorials Dojo - which were the 99% of my prep materials. I finished most of Stephane's course. Skipped the parts, I felt I was familiar with. As for Tutorials Dojo I completed all the Topic Based, Section based and Review Mode questions. I was averaging 75+ on everything with some as high as ~94. My suggestion / tip would be to not rush, take a breather and flag question if you have even a shadow of a doubt. Come back to it. Take a first pass and answer all the question you are 100% certain. On the second pass answer everything you think you are fairly confident and then answer the questions you are deducing / guessing. I had another 30 mins left after doing all this so time is not really a constraint. Good luck everyone and thank you for immense help. I owe a lot to this community ! submitted by /u/sazackk [link] [comments]

We are excited to announce the general availability of the Amazon SageMaker HyperPod Command Line Interface (CLI) and Software Development Kit (SDK). These tools make it easier for developers and ML practitioners to build, train, and deploy large-scale AI models on SageMaker HyperPod. SageMaker HyperPod CLI offers a simple, consistent command-line experience for managing HyperPod clusters and quick experimentation. The SDK offers intuitive programmatic access to HyperPod’s distributed training and inference capabilities and enables developers to have granular control over their workload configurations. With these tools, data scientists and ML engineers can easily launch training jobs, deploy scalable inference endpoints, and monitor cluster performance. Using simple commands, customers can access system logs and HyperPod observability dashboards, enabling them to debug issues and accelerate model development. These new developer interfaces enable customers to build and deploy production generative AI models faster on SageMaker HyperPod. The HyperPod CLI and SDK are available in all AWS commercial regions where SageMaker HyperPod is supported. To get started with the SageMaker HyperPod CLI and SDK, visit the SageMaker HyperPod Developer Guide. 

Today, AWS announced the expansion of 100 Gbps dedicated connections at the AWS Direct Connect location in the STT Kolkata, DC1 data center center near Kolkata, India. You can now establish private, direct network access to all public AWS Regions (except those in China), AWS GovCloud Regions, and AWS Local Zones from this location. This is the third AWS Direct Connect location in India to provide 100 Gbps connections with MACsec encryption capabilities. The Direct Connect service enables you to establish a private, physical network connection between AWS and your data center, office, or colocation environment. These private connections can provide a more consistent network experience than those made over the public internet. For more information on the over 142 Direct Connect locations worldwide, visit the locations section of the Direct Connect product detail pages. Or, visit our getting started page to learn more about how to purchase and deploy Direct Connect.

Amazon SageMaker now offers fully-managed support for MLflow 3.0 that streamlines AI experimentation and accelerates your GenAI journey from idea to production. This release transforms managed MLflow from experiment tracking to providing end-to-end observability, reducing time-to-market for generative AI development. As customers across industries accelerate their generative AI development, they require capabilities to track experiments, observe behavior, and evaluate performance of models and AI applications. Data scientists and developers lack tools for analyzing the performance of models and AI applications from experimentation to production, making it hard to root cause and resolve issues. Teams spend more time integrating tools than improving their models or generative AI applications. With this launch, fully managed MLflow 3.0 on Amazon SageMaker AI enables customers to accelerate generative AI by making it easier to track experiments and monitor performance of models and AI applications using a single tool. Tracing capabilities in fully managed MLflow 3.0 enable customers to record the inputs, outputs, and metadata at every step of a generative AI application, helping developers quickly identify the source of bugs or unexpected behaviors. By maintaining records of each model and application version, fully managed MLflow 3.0 offers traceability to connect AI responses to their source components, allowing developers to quickly trace an issue directly to the specific code, data, or parameters that generated it. This dramatically reduces troubleshooting time and enables teams to focus more on innovation. Fully managed MLflow 3.0 on Amazon SageMaker AI is now available in all regions where Amazon SageMaker is offered, excluding China Regions and GovCloud (US) Regions. To learn more about fully managed MLflow 3.0 on Amazon SageMaker AI, visit the Amazon SageMaker developer guide.

Amazon SageMaker HyperPod's new observability capability allows customers to accelerate generative AI model development by providing comprehensive visibility across compute resources and model development tasks. It takes away the manual work of collecting hundreds of metrics from across the stack, visualizing the correlations between them, and restoring the generative AI model development task performance. HyperPod observability tracks task performance metrics in real-time, alerts customers when any of them deteriorate, and automatically remediates the root cause with customer-defined policies. SageMaker HyperPod observability transforms how customers monitor and optimize their generative AI model development tasks. Through a unified dashboard pre-configured in Amazon Managed Grafana with the monitoring data automatically published to an Amazon Managed Prometheus workspace, customers can now see generative AI task performance metrics, resource utilization, and cluster health in a single view. This allows teams to quickly spot bottlenecks, prevent costly delays, and optimize compute resources. Customers can define automated alerts, derive use-case specific task metrics, and publish them to the unified dashboard with just a few clicks. By reducing troubleshooting time from days to minutes, this capability helps customers accelerate their path to production and maximize the return on their AI investments. SageMaker HyperPod observability is available in all AWS Regions where SageMaker HyperPod is supported, except US West (N. California) and Asia Pacific (Melbourne). To learn more and get started, visit the blog, documentation, and SageMaker HyperPod webpage.

Anthropic's Claude 3.7 Sonnet hybrid reasoning model is now available in AWS GovCloud (US-West). Claude 3.7 Sonnet offers advanced AI capabilities with both quick responses and extended, step-by-step thinking made visible to the user. This model has strong capabilities in coding and brings enhanced performance across various tasks, like instruction following, math, and physics. Anthropic's Claude 3.7 Sonnet model is also FedRAMP High and Department of Defense Cloud Computing Security Requirements Guide (DoD CC SRG) Impact Level (IL) 4 and 5 approved within Amazon Bedrock in the AWS GovCloud (US) Regions. Claude 3.7 Sonnet introduces a unique approach to AI reasoning by integrating it seamlessly with other capabilities. Unlike traditional models that separate quick responses from those requiring deeper thought, Claude 3.7 Sonnet allows users to toggle between standard and extended thinking modes. In standard mode, it functions as an upgraded version of Claude 3.5 Sonnet. In extended thinking mode, it employs self-reflection to achieve improved results across a wide range of tasks. Amazon Bedrock customers can adjust how long the model thinks, offering a flexible trade-off between speed and answer quality. Additionally, users can control the reasoning budget by specifying a token limit, enabling more precise cost management. Claude 3.7 Sonnet is also available on Amazon Bedrock in the Europe (London), Europe (Frankfurt), Europe (Ireland), Europe (Paris), Europe (Stockholm), US East (N. Virginia), US East (Ohio), and US West (Oregon) regions. To get started, visit the Amazon Bedrock console. Integrate it into your applications using the Amazon Bedrock API or SDK. For more information, see the AWS News Blog, Claude in Amazon Bedrock and the Amazon Bedrock documentation.

I solved theSteph's practice exams and I did: 1: 78% 2: 78% 3: 70% 4: 75% 5: 70% What do you think? Are there enough for the exam? submitted by /u/socodes [link] [comments]

Hi guys, is it better if I wait for obtaining my AWS certification before applying for a job? Or do I apply for a cloud jobs now even though I have no certification? submitted by /u/lukamillie [link] [comments]

Today, Amazon announces the general availability of Amazon Elastic Compute Cloud (Amazon EC2) P6e-GB200 UltraServers, accelerated by NVIDIA GB200 NVL72. Amazon EC2 P6e-GB200 UltraServers offer the highest GPU-based AI training and inference performance in EC2. They are designed to accelerate training and inference of foundation models (FMs) including next-generation capabilities like reasoning models and agentic AI at the trillion-parameter scale. With P6e-GB200 UltraServers, customers can access up to 72 Blackwell GPUs within one NVLink domain to leverage 360 petaflops of FP8 compute (without sparsity), 13.4 TB of total high bandwidth memory (HBM3e), and up to 28.8 Tbps of Elastic Fabric Adapter (EFAv4) networking.  P6e-GB200 UltraServers are powered by the AWS Nitro System, allowing customers to reliably and securely scale AI workloads within EC2 UltraClusters to tens of thousands of GPUs.  P6e-GB200 UltraServers are now available through Amazon EC2 Capacity Blocks for ML in the Dallas Local Zone ("us-east-1-dfw-2a"), an extension of the US East (N. Virginia) region. P6e-GB200 UltraServers are available in two sizes: u-p6e-gb200x72 (72 GPUs within NVLink) and u-p6e-gb200x36 (36 GPUs within NVLink). To learn more, see Amazon EC2 P6e-GB200 UltraServers and P6-B200 instances.

Amazon QuickSight extends the current granular access capabilities with new options for exports and reports. QuickSight now allows administrators to customize access by export content type - PDF reports, CSV or Excel exports and dashboard prints for both on-demand exports on QuickSight Dashboards or Q visuals as well as scheduled email reports. Administrators can also limit attachments in report emails. Recipients will receive a notification only email with link to the actual generated content. This set of capabilities provides administrators flexibility in managing their corporate policies on data exports for each user per export type. Custom access capabilities in QuickSight can be applied at both user or role levels. To get started, see Customizing access to the Amazon QuickSight console.

AWS Database Migration Service (AWS DMS) now supports Amazon EC2 C7i and R7i instances, powered by 4th Generation Intel Xeon Scalable processors. These instance types offer improved performance over previous generations and are suitable for a wide range of migration workloads. You can launch migrations using C7i and R7i instances via the AWS DMS Console, AWS DMS Command Line Interface (CLI) and AWS SDKs. For pricing and regional availability, see the AWS DMS pricing page.

Hi all, Thanks for everyone on this subreddit - really made the process easy to get ramped up. I have about 1 year of make-shift AWS experience - building personal projects on the side or for a client here and there but very ad-hoc. Looking back, I knew nothing!! I took Stephane’s Udemy course which took about a month (1 hr/day). Then, I took bought tutorial dojo’s exam package. Those exams set me up for success as I learned the style of questions. Some of the questions there were directly on the exam today. My scores on TD: 60, 60, 70, 64, 69, 73. I briefly looked at the Stephane practice tests and they looked very definition heavy so I skipped - I also listened to this subreddit that his tests aren’t as applicable and I agree. I had about 7 questions on the exam I felt really iffy about. The exam was very focused on core services, and didn’t branch out a ton into those random services that I made flashcards for - never hurts to just be over-prepared though. I wanted to get this done before August 1st as they are revising the exam and TD and Stephanie might be temporarily outdated. I’m sure they’ll update their content quick. I was just antsy. submitted by /u/CaptainDilan [link] [comments]

Everyone seems to be getting AWS certifications lately. What kind of jobs are people landing with them? Are there any opportunities for individuals from non-technical IT backgrounds who’ve just passed the exams? submitted by /u/Solid-Side-3872 [link] [comments]

Hello everyone, I wanted to share that in two months I’ll be taking the Solutions Architect Associate exam. What’s strange is that someone claiming to be from Pearson VUE contacted me. They told me the date of my exam and had my personal information, which I found uncomfortable. They offered me a simulator, saying it contains 80% of the actual exam questions, and they’re offering it for $39. It makes me suspicious because I visited the website: https://dbcloud.academy/app/quiz/10/simulator-saa-c03-aws-certified-solutions-architect-associate?resetOptions=true It looks like a very basic page, with no ratings or reviews, which raises my doubts. I’d like to know if anyone else has been contacted by someone offering this kind of simulator. submitted by /u/Past-Personality1880 [link] [comments]

Hello everyone, I wanted to share that in two months I’ll be taking the Solutions Architect Associate exam. What’s strange is that someone claiming to be from Pearson VUE contacted me. They told me the date of my exam and had my personal information, which I found uncomfortable. They offered me a simulator, saying it contains 80% of the actual exam questions, and they’re offering it for $39. It makes me suspicious because I visited the website: https://dbcloud.academy/app/quiz/10/simulator-saa-c03-aws-certified-solutions-architect-associate?resetOptions=true It looks like a very basic page, with no ratings or reviews, which raises my doubts. I’d like to know if anyone else has been contacted by someone offering this kind of simulator. submitted by /u/Past-Personality1880 [link] [comments]

I may actually be a lil slow if I didn’t second guess myself on 10 questions I would have passed submitted by /u/ComprehensiveMood826 [link] [comments]

I recently failed my exam by a couple of points. Did more studying. I failed on 6/28. Can I retake on 7/12? or do I have to wait the extra day pushing it to 7/13? submitted by /u/Independent-Feed3539 [link] [comments]

Today, we are announcing the availability of Route 53 Resolver Query Logging in Asia Pacific (Taipei), enabling you to log DNS queries that originate in your Amazon Virtual Private Cloud (Amazon VPC). With query logging enabled, you can see which domain names have been queried, the AWS resources from which the queries originated - including source IP and instance ID - and the responses that were received. Route 53 Resolver is the Amazon DNS server that is available by default in all Amazon VPCs. Route 53 Resolver responds to DNS queries from AWS resources within a VPC for public DNS records, Amazon VPC-specific DNS names, and Amazon Route 53 private hosted zones. With Route 53 Resolver Query Logging, customers can log DNS queries and responses for queries originating from within their VPCs, whether those queries are answered locally by Route 53 Resolver, or are resolved over the public internet, or are forwarded to on-premises DNS servers via Resolver Endpoints. You can share your query logging configurations across multiple accounts using AWS Resource Access Manager (RAM). You can also choose to send your query logs to Amazon S3, Amazon CloudWatch Logs, or Amazon Kinesis Data Firehose. There is no additional charge to use Route 53 Resolver Query Logging, although you may incur usage charges from Amazon S3, Amazon CloudWatch, or Amazon Kinesis Data Firehose. To learn more about Route 53 Resolver Query Logging or to get started, visit the Route 53 product page or the Route 53 documentation. 

Amazon Connect now supports parallel execution of AWS Lambda functions in flows, enabling faster and more seamless customer experiences. Amazon Connect allows you to integrate with third-party or homegrown systems such as CRMs using Lambda to automate tasks like reading or updating customer records. With this launch, you can now execute multiple Lambda functions concurrently or continue progressing the flow and run additional actions while a Lambda runs. For example, in an automated customer interaction, you can now look up a customer’s past purchases while simultaneously checking for active promotions and playing a message about a new offer. These capabilities can be configured directly in the drag-and-drop flow designer using the “Lambda” and “Wait” flow blocks, or through public APIs. To learn more, see the Amazon Connect Administrator Guide. These features are available in all AWS regions where Amazon Connect is available. To learn more about Amazon Connect, the AWS cloud-based contact center, please visit the Amazon Connect website. 

Today, we are announcing the launch of AWS Builder Center, a new place to bring together the global cloud community with everything needed to be successful in the cloud. Anyone can now join the most experienced cloud community in the world. You can discover articles on trending topics, like and comment on impactful content, and share ideas with each other from an integrated experience. Learn about the communities or take part by joining a community program, such as AWS Community Builders, or start your own AWS User Group. You can also give feedback directly to AWS product teams through the new Wishlist feature and vote on community roadmap requests. Builder Center is the place to connect with AWS and the builder community. Start with Builder Center and sign in with your AWS Builder ID. Don’t have a Builder ID? It’s easy to sign up, no credit card required. Once signed in, you can connect with fellow builders, interact with content, find events at the AWS Builder Loft, and access 600+ AWS Skill Builder Courses. If you’re looking to get hands-on, get started by downloading Q Developer, learn more about tools for different coding languages, or test your skills through a weekly technical challenge. You can display your contributions, and your community membership details on your public profile.  Visit builder.aws.com to Start here. Go anywhere.

Customers in AWS Asia Pacific (Malaysia) Region can now use AWS Transfer Family web apps. AWS Transfer Family web apps provide a simple interface for accessing your data in Amazon S3 through a web browser. With Transfer Family web apps, you can provide your workforce with a fully managed, branded, and secure portal for your end users to browse, upload, and download data in S3. To learn more about AWS Transfer Family web apps, read our blog and visit the Transfer Family User Guide. For complete regional availability information, see the AWS Region Table.

VPC Route Server simplifies dynamic routing between virtual appliances in your Amazon VPC. It allows you to advertise routing information through Border Gateway Protocol (BGP) from virtual appliances and dynamically update the VPC route tables associated with subnets and internet gateway. With this launch, Amazon VPC Route Server is available in 14 AWS Regions: US East (Virginia), US East (Ohio), US West (Oregon), Europe (Ireland), Europe (Frankfurt), Asia Pacific (Tokyo), US West (N. California), Canada West (Calgary), Asia Pacific (Malaysia), Europe (Milan), Europe (Paris), Asia Pacific (Sydney), Europe (London), Canada (Central). To learn more about Amazon VPC Route Server, visit this page.

Amazon Q Developer now enables you to query and analyze data stored in your AWS services directly from the AWS Management Console as well as Slack, Microsoft Teams chat, and the AWS Console Mobile Application. For example, Amazon Q Developer can now analyze transaction receipts stored in an AWS S3 bucket, examine records in AWS DynamoDB tables, or review CloudWatch logs, all through natural language conversations. This feature helps reduce the time and effort required to manage and troubleshoot your cloud environment by eliminating the need to navigate multiple interfaces or manually compile information from different sources. This feature is available today without any additional configuration necessary. Amazon Q Developer's service data queries are available in all AWS Regions where Amazon Q Developer is supported. To align with their organization's security and governance requirements, administrators can use IAM permissions to control the service data Amazon Q is allowed to access. To learn more about Amazon Q's service data query capabilities, visit the Amazon Q documentation.

did the stephane maarek course, did his one free practice exam, did the 20 prep questions on aws, now just using this github to go over the practice exams https://github.com/kananinirav/AWS-Certified-Cloud-Practitioner-Notes/blob/master/practice-exam/practice-exam-2.md i feel good about it! submitted by /u/vlzelen [link] [comments]

I have recently cleared aws cloud practitioner and aws solutions architect associate certificate and my professional background is - 6 years as business development and MBA and no prior coding experience before this Is it practical for me to aim for positions in cloud, if yes which positions should I aim for? submitted by /u/MysteriousToe5 [link] [comments]

Continuing on my previous post https://www.reddit.com/r/AWSCertifications/comments/1lrggwp/cleared_dvac02_and_sapc02_in_3_days/ completed my AWS Derops Pro certification yesterday. https://preview.redd.it/xq5ynwh5ytbf1.png?width=305&format=png&auto=webp&s=c30d5444271dbe2ce180c907f1efb8b096976669 submitted by /u/Ambitious-Flan-8483 [link] [comments]

So I just passed Cloud Practitioner yesterday with 963 marks and I wanted to know how long or how much should I prepare for solutions architect. My aim was to write solutions architect without writing cloud practitioner before it but amazon decided to take out the 100% free offer right before I could claim it so i had to write cloud practitioner first. I used Stephane Maarek to pass CP should i follow the same for Solution Architect submitted by /u/Fat-Fucck [link] [comments]

My preparation path might be different from others in this sub. I was introduced to AWS through my Uni curriculum. Studied this for over 4 months as a course in my Uni. Coming to the exam: -> Got multiple questions related to the shared responsibility model of AWS -> Many questions were pretty direct (asked about functionality of the services) -> Faced difficulty in questions related to services I never heard about (don't know if they were scored/unscored) Difficulty Rating: Easy-Moderate submitted by /u/Not__Found_404 [link] [comments]

Hi guys, I have been thinking of giving AWS CCP exam. So, is Stephane Maarek's course enough or any other material is needed? Please provide me with tips. submitted by /u/Last-Mousse-5167 [link] [comments]

This is a "If" question since it is not available at the moment, but if it does happen to return later on, what is the recommended certification to go for, should I get a Foundational level or Associate level. I am getting into AWS and looking into the resources where to get started but if given this opportunity I want to get the most out of it without worrying if I did too little or too much for me to handle to the point I would waste a free exam. What y'all opinion? submitted by /u/Difficult_Assist_527 [link] [comments]

Omg I can't believe I passed this. I was THE most unconfident about this one as I am not a programmer, not a developer, and I bang together scripts with ChatGpt on the regular. My jaw dropped when I saw my score. I thought for sure if I passed that I would just squeak by. This is the highest I've ever scored on an AWS exam and that includes Cloud Practicioner. In the past 3 months I have now passed the SAA, SysOps, and now Developer associate certs. This is all for transfer credit to WGU to save on $$$ for the Cloud degree. I already had grabbed all the CompTIA, ITIL, etc so this was the LAST one I had to do for school. I used Stephane Maarek's course and Dojo for the practice exams. I got a wild hair up my butt today and decided instead of taking another practice test, to just take the exam. I finished with 3mins left after review and since 1pm I've just been spamming the refresh in my email. I might do AI practitioner just to have 5x AWS certified bragging rights but for now I am taking a month off for some well-deserved gaming, time with the kid, and copious amounts of Mountain Dew Baja blast before school starts Sept 1st. submitted by /u/dave-gonzo [link] [comments]

Hi, Currently I'm preparing for this certification and planning to appear for an exam this month, looking for folks who are too enrolled for this certification. Calling out to these peep for virtual discussion guidance. submitted by /u/rajat_19 [link] [comments]

Amazon Q in QuickSight is now generally available in Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Tokyo), Europe (Stockholm), Europe (Paris), Europe (Zurich) and US East (Ohio), adding to our existing regions: Asia Pacific (Mumbai), Asia Pacific (Sydney), Canada (Central), Europe (Frankfurt), Europe (Ireland), Europe (London), South America (São Paulo), US East (N. Virginia), and US West (Oregon). This latest expansion brings the power of Generative Business Intelligence to more customers worldwide, enabling them to leverage natural language capabilities of Amazon Q to quickly extract insights from data, make better business decisions, and accelerate the work of business analysts. With Amazon Q in QuickSight, users can generate documents, slide decks, and executive summaries explaining data and providing recommendations tailored to their business. The data Q&A experience empowers users to confidently answer questions of data, even those not covered by existing dashboards. QuickSight Scenarios allows for guided step-by-step deeper exploration of past trends, future scenarios and modeling of solutions in natural language without the need of specialized skills. Scenarios is now generally available to QuickSight Pro users in Asia Pacific (Mumbai), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Europe (London), Europe (Paris), and US East (Ohio) in addition to existing regions : US East (N. Virginia), US West (Oregon), Europe (Frankfurt), and Europe (Ireland) This launch expands availability of Amazon Q in QuickSight capabilities within existing QuickSight Regions, reducing latency to access services and helping customers meet data residency compliance. Amazon Q in QuickSight is not trained on customer data, and its governance and data security features meet the most stringent requirements for enterprise and government customers. To learn more visit the Amazon Q in QuickSight product page and try it FREE for 30-days.

AWS Config now supports 12 additional AWS resource types. This expansion provides greater coverage over your AWS environment, enabling you to more effectively discover, assess, audit, and remediate an even broader range of resources. With this launch, if you have enabled recording for all resource types, then AWS Config will automatically track these new additions. The newly supported resource types are also available in Config rules and Config aggregators. You can now use AWS Config to monitor the following newly supported resource types in all AWS Regions where the supported resources are available: Resource Types AWS::BackupGateway::Hypervisor AWS::CloudFront::PublicKey AWS::BCMDataExports::Export AWS::EntityResolution::IdMappingWorkflow AWS::CloudFormation::GuardHook AWS::S3Tables::TableBucket AWS::EntityResolution::SchemaMapping AWS::IoT::DomainConfiguration AWS::PCAConnectorAD::DirectoryRegistration AWS::RDS::Integration AWS::Bedrock::Guardrail AWS::Bedrock::KnowledgeBase To view the complete list of AWS Config supported resource types, see supported resource types page.

AWS Site-to-Site VPN now supports IPv6 addresses on outer tunnel IPs, making it easier for customers to build or transition to IPv6-only networks. Customers with mandates to use IPv6 network address deployments can now easily build IPv6-only VPN connections to meet their regulatory and compliance needs. AWS Site-to-Site VPN is a fully managed service that allows you to create a secure connection between your data center or branch office and your AWS resources using IP Security (IPSec) tunnels. Until now, customers could use IPv6 addresses on the inner tunnels of their VPN connections, but the outer tunnels still required public IPv4 addresses. With this launch, customers can now configure IPv6 addresses on both inner and outer tunnels of their VPN connection, eliminating the complexity of dealing with cross IPv4/IPv6 addressing scheme. This feature also helps customers reduce their public IPv4 costs as there is no charge for using IPv6 address on the outer tunnel IP. This capability is available in all AWS commercial Regions and AWS GovCloud (US) Regions where AWS Site-to-Site VPN is available, except Europe (Milan) Region. To learn more and get started, visit the AWS Site-to-Site VPN documentation.

AWS Network Firewall now supports native integration with AWS Transit Gateway for centralized traffic inspection in all AWS Regions where both services are available. This integration enables customers to directly attach a network firewall to a transit gateway and easily route traffic between these services for consistent traffic inspection. The new feature eliminates the need to manage dedicated VPC subnets and route tables when connecting these services. You can use this capability to protect traffic across your entire AWS network including VPCs and on-premises networks connected via AWS Site-to-Site VPN or AWS Direct Connect. The integration improves network security and resiliency through automatic multi-AZ redundancy, ensuring continuous service availability across regions. Native integration is available in all AWS Regions where both AWS Network Firewall and AWS Transit Gateway are supported. To learn more, visit the AWS Network Firewall service documentation.

Starting today, you can build, train, and deploy machine learning (ML) models in Asia Pacific (Taipei). Amazon SageMaker AI is a fully managed platform that provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) models quickly. SageMaker AI removes the heavy lifting from each step of the machine learning process to make it easier to develop high quality models. To learn more and get started, see SageMaker AI documentation and pricing page.

Today, we're announcing the launch of API keys for Amazon Bedrock to simplify the getting started experience and accelerate generative AI development. API keys for Amazon Bedrock enable developers to quickly generate access credentials directly within the Amazon Bedrock console or AWS SDK without needing to manually configure IAM principals and policies. With the introduction of API keys for Amazon Bedrock, developers can generate short-term and long-term API keys directly from the Amazon Bedrock console or API to authenticate API calls to Amazon Bedrock models. Short-term API keys are valid for the duration of your console session, or up to 12 hours, whichever is shorter. Long-term API keys give you the flexibility to define key validity duration and manage the keys from the AWS IAM console. Amazon Bedrock API key authentication is available in 20 AWS Regions where Amazon Bedrock is available: Asia Pacific (Hyderabad, Mumbai, Osaka, Seoul, Singapore, Sydney, Tokyo), Canada (Central), Europe (Frankfurt, Ireland, London, Milan, Paris, Spain, Stockholm, Zurich), South America (São Paulo), US East (N. Virginia, Ohio), and US West (Oregon). To learn more about API keys in Amazon Bedrock, visit the API Keys documentation in the Amazon Bedrock user guide, or check out our blog for code snippets and implementation examples.

Customers that use Amazon Simple Notification Service (Amazon SNS) in the Mexico (Central) Region can now send text messages (SMS) to subscribers in more than 200 countries and territories. With this launch, customers using SNS in the Mexico (Central) Region can send SMS messages via AWS End User Messaging. Amazon SNS is a fully managed pub/sub messaging service that enables message delivery to multiple endpoints including AWS Lambda, Amazon SQS, Amazon Data Firehose, mobile devices, and email. Amazon SNS now supports the ability to send SMS in 30 AWS Regions. More information: To learn more about sending SMS messages with SNS, visit Mobile text messaging (SMS). For the list of supported countries and regions, visit SMS Supported Regions and Countries.

Today, we’re announcing the integration of Amazon Neptune Analytics with Mem0, an open-source, agentic memory system purpose-built for generative AI (GenAI) applications. With this launch, customers can use Neptune as the graph store for memory retrieval and reasoning, enabling long-term memory for AI agents across richly connected graphs—powering more personalized and context-aware AI experiences. This integration allows Mem0 users to store and query memory graphs at scale, unlocking advanced use cases where LLMs need to learn from each interaction, becoming more personalized and effective over time. It enables graph-native long-term memory for LLMs by using Neptune as an external memory store, improving response quality through multi-hop graph reasoning, and supporting hybrid retrieval across graph, vector, and keyword modalities. Mem0 is a self-improving memory layer that powers personalized, cost-efficient GenAI experiences. To learn more about the Neptune–Mem0 integration, visit the User Guide.

Today, as we announce general availability of Oracle Database@AWS, we are launching a set of new AWS Networking capabilities that allow customers to easily build enterprise applications and services using Oracle Database@AWS. With this launch, customers can seamlessly connect their Oracle Database@AWS (ODB) networks with VPCs and on-premises networks and can establish secure access to AWS services natively from their ODB networks. First, customers want to easily connect their Oracle Exadata database workloads in the ODB network to applications in VPCs and on-premises networks. Customers can use the integration with AWS Transit Gateway - to simplify connectivity at scale, AWS Cloud WAN - to connect global networks, and Amazon VPC Lattice - for secure service-to-service connectivity, to simplify their hybrid network connectivity with minimal networking changes. Second, customers want the ability to publish their database backups to their S3 buckets. With native connectivity between the ODB network and AWS services, powered by Amazon VPC Lattice, customers can set up private and secure access from the ODB network to Amazon S3. Last, customers want to maintain robust security and resource isolation, by launching their Oracle Exadata database and applications in different AWS accounts, while peering them for low-latency connectivity. Customer can now use the AWS RAM integration for cross-account peering support. These integrations enable customers to migrate and run production workloads on Oracle Exadata Database Service and Oracle Autonomous Database on Dedicated Exadata infrastructure within AWS. Oracle Database@AWS networking capabilities are available in US East (N. Virginia) and US West (Oregon) AWS Regions. To get started, customers can use the AWS Management Console to provision and manage their Oracle Database@AWS resources. To learn more about the networking capabilities, see the blog, and documentation. For pricing, see product page per integration.

Amazon Relational Database Service (Amazon RDS) Custom for SQL Server now supports Cumulative Update (CU) 19 for Microsoft SQL Server 2022. This update is available for SQL Server Developer, Web, Standard, and Enterprise editions, and includes performance improvements, security fixes, and bug fixes. For more details about the improvements in this update, please review Microsoft KB5054531 release notes. We recommend upgrading to this CU as it includes security fixes. You can upgrade with just a few clicks in the Amazon RDS Management Console or by using the AWS SDK or CLI. Learn more about upgrading your database instances from the Amazon RDS Custom User Guide. This CU is available in all AWS Regions where Amazon RDS Custom for SQL Server is available. RDS Custom is a managed database service that allows customization of the underlying operating system and database environment. RDS Custom for SQL Server supports two licensing models: License Included (LI) and Bring Your Own Media (BYOM). By using Bring Your Own Media (BYOM), customers can use their existing SQL Server licenses with Amazon RDS Custom for SQL Server. See Amazon RDS Custom Pricing for pricing details and regional availability.