Today's Certification : AWS Certified Machine Learning Engineer - Associate (MLA-C01) An international finance corporation is using Amazon SageMaker to develop a machine learning model with a dataset stored in Amazon S3 us-east-1 while needing to train models on SageMaker instances in us-west-2. The training data, which includes confidential financial information, must transfer securely between regions without exposure to the public internet. Which approach ensures this requirement is met effectively? A. Ensure SageMaker instances have disabled direct internet access and use a VPC interface endpoint to connect securely to Amazon S3. B. Set up an S3 Cross-Region Replication to copy the data to the us-west-2 region, then perform the training there. C. Use AWS Transfer Family to move the data between regions using SFTP. D. Configure SageMaker instances without internet access and use a VPC gateway endpoint for secure S3 communication. Think you know the answer? Try this question and check the correct answer on NimbusIQ: https://lnkd.in/gt5A6tAr Stay curious, keep learning, and conquer the cloud! #AWS #CloudComputing #NimbusIQ
AWS Certified Machine Learning Engineer - Associate (MLA-C01)
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Today's Certification : AWS Certified Developer - Associate (DVA-C02) A website allows users to upload photos to Amazon S3. An S3 event triggers an AWS Lambda function, which then detects real-world objects in the photo using Amazon Rekognition's DetectLabels operation. The website needs an efficient way to let users search for photos by these labels. What solution would best achieve this? A. Insert an item for each S3 key, label, and user combination into an Amazon DynamoDB table. Define a global secondary index with the username as the partition key and the label as the sort key. Use the QueryItem API on this index to retrieve all objects linked to the particular username and label. B. Store username and label values as S3 object metadata keys. Use "x-amz-meta-" prefix for each key. Since S3 does not offer a metadata-based search API, this method can't be used to index. C. Store username and label values as S3 object tags. Retrieve and index objects based on these tags using the describe-tags API, keyed by both username and label. D. Insert an item directly into an Amazon DynamoDB global secondary index for each S3 key, label, and user. Use the username as the partition key and the label as the sort key. Then, find all objects sharing the username and label via the QueryItem API. Think you know the answer? Try this question and check the correct answer on NimbusIQ: https://lnkd.in/gt5A6tAr Stay curious, keep learning, and conquer the cloud! #AWS #CloudComputing #NimbusIQ
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☁️ New on YouTube Courses: Big Data Analytics (Short Course) Cloud computing continues to be one of the most in-demand skills on LinkedIn. This free 22-video course provides a hands-on introduction to using Amazon Web Services (AWS) for big data analysis and visualization. In this short course, learners will: ⚙️ Understand core AWS services — EC2, VPC, and S3 🧠 Explore AWS big data solutions — RDS, Redshift, and EMR 📊 Create visual analytics with Amazon QuickSight 💻 Access all demo datasets on GitHub: https://lnkd.in/e-gwqnrt All activities can be completed through AWS Academy, making it ideal for learners seeking practical cloud experience. 🎥 Start learning here: 👉 https://lnkd.in/e5sxb59z #BigData #AWS #CloudComputing #DataAnalytics #EdTech #LBSocial #YouTubeCourses #DataVisualization
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☁️ New on YouTube Courses: Cloud Computing Hands-on Labs Want to understand how the cloud really works — without needing to be an engineer? This free, beginner-friendly course offers practical AWS labs designed for non-technical learners who want real experience with cloud services. In just 10 videos, learners will: ⚙️ Grasp the fundamentals of cloud computing ☁️ Explore the core applications of AWS services, including: Networking & computing Storage & databases Security & management Data analytics & visualization Machine learning & AI Serverless computing All labs can be completed through AWS Academy, offering a guided, hands-on way to build essential cloud skills. 🎥 Start learning here: 👉 https://lnkd.in/eDdqapBt #CloudComputing #AWS #BigData #AI #DataAnalytics #EdTech #LBSocial #YouTubeCourses #LearnCloud
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📘FREE Practice Exams for 10 Cloud Certifications- AWS, Azure & GCP Each exam consists of 3 practice set (180 - 195 Questions) divided domain wise according to the official exam guide. These also come with explanations, answer breakdown and progress tracking to make your preparation easier The current available Cloud Practice exams on CloudFluently to help you ace your preparation👇 Amazon Web Services (AWS): 1. AWS Cloud Practitioner [3 Practice Sets - 195 Questions] 2. AWS Developer Associate [3 Practice Sets - 195 Questions] 3. AWS Solutions Architect Associate [3 Practice Sets - 195 Questions] 4. AWS SysOps Administrator Associate [3 Practice Sets - 195 Questions] Microsoft Azure: 5. [AZ-900] Azure Fundamentals [3 Practice Sets - 180 Questions] 6. [AI-900] Azure AI Fundamentals [3 Practice Sets - 180 Questions] 7. [DP-900] Azure Data Fundamentals [3 Practice Sets - 180 Questions] Google Cloud: 8. Google Cloud Digital Leader [3 Practice Sets - 180 Questions] 9. Google Associate Cloud Engineer [3 Practice Sets - 180 Questions] 10. Google Cloud Generative AI Leader [3 Practice Sets - 180 Questions] 🔗 Check them out at: https://lnkd.in/d4Ytxtyq Additionally, you can join the CloudFluently Discord to prep with peers worldwide: https://lnkd.in/datXJ_Ye ♻️ Repost if you find this helpful #AWS #GCP #Azure #PracticeExams #CloudCertifications #CloudFluently
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Just came across a fantastic cheat-sheet on AWS core services & best practices by Nikhil Bansal — worth a read for anyone working in cloud, data engineering or architecture. • Technology: covers compute (EC2, Lambda, Elastic Beanstalk), storage (S3, EBS, EFS), databases (RDS, DynamoDB, Aurora, Redshift) and more. • Security & Compliance: dives into IAM, KMS, Cognito, VPC isolation, endpoints — crucial for any scalable cloud build. • Cloud Concepts: elasticity, scalability, high availability, regions & AZs, monitoring (CloudWatch, CloudTrail) — all major themes. • Billing & Pricing: cost optimization tips like Reserved vs Spot instances, lifecycle tiers for S3, serverless database strategies. As someone who’s been working on AWS-based data engineering projects (e.g., building pipelines on S3, Glue, Redshift, QuickSight), this kind of consolidated reference is invaluable. Why you should check it out: 1. It gives you a bird’s-eye view of AWS’s major domains in one place. 2. Helps bridge the gap between knowing bits of AWS and designing end-to-end architectures. 3. Ideal for interview prep (big data, analytics, cloud) and for keeping your cloud vocabulary sharp. Full article link: https://lnkd.in/esBhTrdy Feel free to like/comment if you found this helpful or if you’d like to discuss AWS architecture/design! #AWS #CloudComputing #DataEngineering #BigData #Analytics #CareerGrowth
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🚀 Today’s Learning: AWS EBS (Elastic Block Store) Today, I explored Amazon EBS, a powerful block storage service used with EC2 instances in AWS. It provides persistent, high-performance, and scalable storage for applications that require fast data access and reliability. 💾 💡 Key Learnings: EBS Volumes act like virtual hard drives for EC2 instances. Data stored in EBS remains safe even after instance termination (if configured as non-ephemeral). You can take snapshots for backup and restore them anytime. Supports various volume types — General Purpose (gp3), Provisioned IOPS (io2), and Throughput Optimized (st1). Easily attach, detach, resize, and encrypt volumes for flexible cloud storage. Learning how EBS integrates with EC2 is a key part of mastering AWS storage and DevOps infrastructure. 🌐 Special thanks to MiseAcademy and Hafiz Muhammad Umair Munir for their constant guidance and mentorship in my learning journey. 🙌 #AWS #EBS #CloudComputing #DevOps #MiseAcademy #HafizMuhammadUmairMunir #AmazonWebServices #CloudStorage #LearningJourney #Automation
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How to Earn a FREE AWS Certification (Complete Guide) Want an AWS certification without paying $150+? Here's the step-by-step process: Step 1: Join AWS EducateSign up at AWS Educate (it's free!) Step 2: Earn Your First BadgeComplete any course to get an official AWS badge⚡ Fastest: "Introduction to Generative AI or apply filter badge to search" (just 1 hour) Step 3: Get Invited to AWS Emerging Talent CommunityAfter earning your badge, you'll receive an email invite to AWS ETC Step 4: Earn Points for Your VoucherComplete activities like tutorials and quizzes to earn points: 4,500 points = Foundational certification voucher 5,200 points = Associate-level certification voucher 💡 You'll earn ~1,200 points on Day 1 and 360 points weekly Step 5: Complete AWS Exam PrepFinish an AWS Skill Builder course and pass the practice exam Step 6: Claim Your Free Voucher!Redeem your points for a certification exam voucher⏱️ Time Investment: 40-60 days, just 15-20 minutes per day. This is completely legitimate and offered directly by AWS. Perfect for students, career changers, or anyone looking to break into cloud computing!Have you tried this program? Share your experience below! 👇#AWS #CloudComputing #FreeCertification #CareerDevelopment #AWSCertification #CloudSkills #LearningAndDevelopment #TechCareers
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Amazon S3 introduces conditional write functionality for copy operations, enabling safer and more efficient object updates in complex workflows on Amazon Web Services (AWS) https://lnkd.in/g2yFA7xA #aws #AWSCloud #S3 #Storage #DataManagement #CloudComputing
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🎯 Why Certifications Alone Won’t Land You a Cloud Role — And What Actually Will Let’s be honest — certifications open doors, but they don’t keep them open. When I earned my AWS Cloud Practitioner and Solutions Architect Associate certifications, I was proud. They gave me structure and confidence — but not the full picture. The truth? Certifications prove that you can study and understand concepts, not that you can apply them. What actually moves the needle: ✅ Hands-on projects — Build with AWS Lambda, DynamoDB, S3, CloudFront. ✅ Documentation — Write down what you built and why; it becomes your portfolio. ✅ Storytelling — Share your journey to show you’re actively building, not just studying. My Hair Booking App taught me more than any exam ever could — real integration, debugging, and problem-solving. Takeaway: Certifications get you in the room; projects, persistence, and storytelling keep you there. What’s one AWS project you’ve built (or want to build) to move from certified to skilled? #AWS #CloudComputing #CareerTransition #SolutionsArchitecture #LearningInPublic #BuildInPublic #TechCareers #AWSCommunity #HandsOnLearning #CloudJourney
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