Practice Exams | AWS Certified Solutions Architect Associate
Preparing for AWS Certified Solutions Architect Associate SAA-C03? This is THE practice exams course to give you the winning edge.
These practice exams have been co-authored by Stephane Maarek and Abhishek Singh who bring their collective experience of passing 20 AWS Certifications to the table.
The tone and tenor of the questions mimic the real exam. Along with the detailed description and “exam alert” provided within the explanations, we have also extensively referenced AWS documentation to get you up to speed on all domain areas being tested for the SAA-C03 exam.
We want you to think of this course as the final pit-stop so that you can cross the winning line with absolute confidence and get AWS Certified! Trust our process, you are in good hands.
All questions have been written from scratch! And more questions are being added over time! You can see for yourself some of the amazing testimonials from our students who have aced the real exam:
5 stars: I just passed my SAA-C03 today and I would like to thank Stephan for creating such great content. I went through his course and did these practice papers as well. And the questions were really similar to the ones which came in the actual exams. I am still stunned with my score since I got 1000/1000. If this does not clear your doubt then nothing will. Don't think twice, take this course. - Nisha V.
5 stars: Great exams, similar to those found at the real exam (which I passed with a score of 845). Great job Stephane! - Ignacio R.
5 stars: Excellent test prep. I passed with a score of 1000!!. If you just do Stephane's Solution Architect course and this test course, you will pass the certification for sure. Ankur W.
Quality speaks for itself...
A social gaming startup has its flagship application hosted on a fleet of EC2 servers running behind an Elastic Load Balancer. These servers are part of an Auto Scaling Group. 90% of the users start logging into the system at 6 pm every day and continue till midnight. The engineering team at the startup has observed that there is a significant performance lag during the initial hour from 6 pm to 7 pm. The application is able to function normally thereafter.
As a solutions architect, which of the following steps would you recommend addressing the performance bottleneck during that initial hour of traffic spike?
Configure your Auto Scaling group by creating a scheduled action that kicks-off before 6 pm. This causes the scale-out to happen even before peak traffic kicks in at 6 pm
Configure your Auto Scaling group by creating a lifecycle hook that kicks-off before 6 pm. This causes the scale-out to happen even before peak traffic kicks in at 6 pm.
Configure your Auto Scaling group by creating a target tracking policy. This causes the scale-out to happen even before peak traffic kicks in at 6 pm.
Configure your Auto Scaling group by creating a step scaling policy. This causes the scale-out to happen even before peak traffic kicks in at 6 pm.
What's your guess? Scroll below for the answer...
The scheduled action tells Amazon EC2 Auto Scaling group to perform a scaling action at specified times. To create a scheduled scaling action, you specify the start time when the scaling action should take effect, and the new minimum, maximum, and desired sizes for the scaling action. The engineering team can create a daily scheduled action to kick-off before 6pm and hence this is the correct option.
Auto Scaling group lifecycle hooks enable you to perform custom actions as the Auto Scaling group launches or terminates instances. For example, you could install or configure software on newly launched instances, or download log files from an instance before it terminates. Lifecycle hooks are not the correct choice for this use-case.
With target tracking scaling policies, you choose a scaling metric and set a target value. Application Auto Scaling creates and manages the CloudWatch alarms that trigger the scaling policy and calculates the scaling adjustment based on the metric and the target value.
With step scaling, you choose scaling metrics and threshold values for the CloudWatch alarms that trigger the scaling process as well as define how your scalable target should be scaled when a threshold is in breach for a specified number of evaluation periods.
Both the target tracking as well as step scaling policies entail a lag wherein the instances will be provisioned only when the underlying CloudWatch alarms go off. Therefore we would still see performance lag during some part of the initial hour.
My name is Stéphane Maarek, I am passionate about Cloud Computing, and I will be your instructor in this course. I teach about AWS certifications, focusing on helping my students improve their professional proficiencies in AWS.
I have already taught 1,500,000+ students and gotten 500,000+ reviews throughout my career in designing and delivering these certifications and courses!
I'm delighted to welcome Abhishek Singh as my co-instructor for these practice exams!
Welcome to the best practice exams to help you prepare for your AWS Certified Solutions Architect Associate exam.
You can retake the exams as many times as you want
This is a huge original question bank
You get support from instructors if you have questions
Each question has a detailed explanation
Mobile-compatible with the Udemy app
30-days money-back guarantee if you're not satisfied
We hope that by now you're convinced!... And there are a lot more questions inside the course.
Happy learning and best of luck for your AWS Certified Solutions Architect Associate exam!
Who this course is for:
- Anyone preparing for the AWS Certified Solutions Architect Associate SAA-C03
Stephane is a solutions architect, consultant and software developer that has a particular interest in all things related to Big Data, Cloud & API. He's also a many-times best seller instructor on Udemy for his courses in AWS and Apache Kafka.
[See FAQ below to see in which order you can take my courses]
Stéphane is recognized as an AWS Hero and is an AWS Certified Solutions Architect Professional & AWS Certified DevOps Professional. He loves to teach people how to use the AWS properly, to get them ready for their AWS certifications, and most importantly for the real world.
He also loves Apache Kafka. He sits on the 2019 Program Committee organizing the Kafka Summit in New York, London and San Francisco. He is also an active member of the Apache Kafka community, authoring blogs on Medium and a guest blog for Confluent.
During his spare time he enjoys cooking, practicing yoga, surfing, watching TV shows, and traveling to awesome destinations!
FAQ: In which order should you learn?...
AWS Cloud: Start with AWS Certified Solutions Architect Associate, then move on to AWS Certified Developer Associate and then AWS Certified SysOps Administrator. Afterwards you can either do AWS Certified Solutions Architect Professional or AWS Certified DevOps Professional, or a specialty certification of your choosing.
Apache Kafka: Start with Apache Kafka for Beginners, then you can learn Connect, Streams and Schema Registry if you're a developer, and Setup and Monitoring courses if you're an admin. Both tracks are needed to pass the Confluent Kafka certification.
Abhishek is an AWS veteran and has built successful SaaS and consumer solutions using AWS services since 2012. Over the course of his professional career, Abhishek has interviewed and mentored hundreds of candidates for entry-level and lateral positions for Cloud based IT solutions development. Abhishek is passionate about sharing his knowledge on AWS Cloud, Machine Learning and Big Data. He wants to help his fellow IT Professionals level-up their skills to ace the AWS Certifications and above all, get ready for the real world AWS ecosystem.
He is an AWS Certified Solutions Architect Professional, AWS Certified DevOps Engineer Professional, AWS Certified Machine Learning Specialist, AWS Certified Big Data Specialist and AWS Certified Database Specialist.
Overall, Abhishek has over 14 years of experience working on a diverse range of Enterprise Technologies based on ML, Big Data and Analytics. He runs a successful ML and Big Data Consultancy advocating solutions on AWS Cloud and has advised multiple clients in the US to architect and implement their ML and Big Data solutions using the AWS suite of services.